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DataOps Dictionary


Alarm Escalation

Alarm escalation is a process in a SCADA system that involves escalating the severity of an alarm if it remains unacknowledged or unresolved for a certain period. It ensures that critical alarms receive timely attention and appropriate actions are taken.

Alarm Management

Alarm management focuses on effectively managing and prioritizing alarms in industrial processes to prevent alarm floods, ensure timely response, and minimize operational disruptions. It includes alarm rationalization, alarm limits, and operator training.

Alarm Rationalization

Alarm rationalization is a process in a SCADA system that involves reviewing and optimizing the alarm setpoints, priorities, and notification rules.

Asset Performance Management

Asset performance management encompasses strategies and technologies to optimize the performance and reliability of critical assets in the Oil and Gas industry. It involves data-driven maintenance, predictive analytics, and optimization techniques.

Asset Performance Monitoring

Asset performance monitoring involves continuous monitoring and analysis of the operational performance of oil and gas assets. It includes equipment health monitoring, performance KPIs, and predictive analytics for proactive maintenance.

Asset Retirement Obligation (ARO):

Asset retirement obligation refers to the financial and environmental obligations associated with the decommissioning and removal of oil and gas assets. It includes activities such as well plugging and abandonment.

Artificial Lift Optimization

Artificial lift optimization focuses on optimizing the performance of artificial lift systems, such as electric submersible pumps (ESP) or gas lift systems, to maximize oil and gas production from wells.

Asset Integrity Management

Asset integrity management focuses on maintaining the safety, reliability, and performance of oil and gas assets throughout their lifecycle. It includes strategies for inspection, maintenance, risk assessment, and compliance.

Asset Lifecycle Management

Asset lifecycle management involves managing oil and gas assets throughout their entire lifecycle, from design and construction to operation and decommissioning. It includes activities such as asset planning, maintenance, and retirement.

Asset Tracking

Asset tracking involves the use of technologies to track the location of assets such as RFID (Radio Frequency Identification) and GPS (Global Positioning System).

Asset Visualization

Asset visualization involves the use of 2D and 3D modeling and visualization techniques to create virtual representations of oil and gas assets, such as platforms, pipelines, and refineries. It aids in design, maintenance, and safety planning.

Batch Processing:

Batch processing involves the execution of a series of data processing tasks on a predefined set of data. It typically operates on static data sets and is suitable for non-real-time data analysis and transformations.

Bill of Materials (BOM)

A bill of materials is a comprehensive list of components, parts, and raw materials required to manufacture a product. It provides detailed information about the quantity, hierarchy, and relationships of each item.

Carbon Capture and Storage (CCS)

Carbon Capture and Storage is a process that captures carbon dioxide emissions from power plants and industrial facilities and stores them underground to prevent their release into the atmosphere. It aims to mitigate climate change by reducing greenhouse gas emissions. analysis and transformations.

Carbon Stranded Assets

Carbon stranded assets are assets, such as coal-fired power plants or oil reserves, that may become stranded due to regulatory actions or market dynamics aimed at reducing greenhouse gas emissions and transitioning to a low-carbon economy.

Change Management

Change management is a structured approach to managing and implementing changes in manufacturing processes, systems, or organizational structures. It includes planning, communication, and stakeholder engagement to ensure smooth transitions and minimize resistance.

Corrosion Monitoring

Corrosion monitoring involves the use of sensors and instruments to monitor and detect corrosion in oil and gas equipment, pipelines, and infrastructure. It helps in maintenance planning and asset integrity management.


Cybersecurity in a SCADA system involves protecting the system from unauthorized access, data breaches, and malicious attacks. It includes implementing measures such as firewalls, access controls, encryption, and intrusion detection systems to safeguard critical infrastructure.

Constraint Management

Constraint management involves identifying and managing constraints or bottlenecks in manufacturing processes to maximize throughput and efficiency. It includes techniques such as Theory of Constraints (TOC) and bottleneck analysis.

Continuous Improvement

Continuous improvement, also known as Kaizen, is an ongoing effort to identify and implement incremental improvements in manufacturing processes, products, and systems. It emphasizes a culture of problem-solving, collaboration, and learning.

Control Loop

A control loop is a closed-loop system within a SCADA system that regulates a specific parameter or process variable. It consists of sensors, controllers (such as PLCs), actuators, and feedback mechanisms, enabling continuous control and adjustment of the desired parameter.

Cybersecurity in Oil and Gas

Cybersecurity in the Oil and Gas industry involves protecting critical infrastructure, data, and systems from cyber threats and attacks. It includes measures such as network security, access controls, and threat monitoring.

Data Access Control

Data access control involves implementing security measures to control and restrict access to data stored in different silos. It ensures that only authorized individuals or systems can access and modify data based on defined permissions and roles.

Data Acquisition

Data acquisition refers to the process of collecting data from various sensors, devices, and equipment in an industrial system. In a SCADA system, data acquisition involves gathering real-time data, such as temperature, pressure, flow rates, and status information, for monitoring and control purposes.

Data Anonymization

Data anonymization is the process of removing or modifying personally identifiable information (PII) from datasets to protect individual privacy. It allows organizations to share or analyze data from different silos while preserving privacy and complying with data protection regulations.

Data Archiving

Data archiving involves transferring inactive or less frequently accessed data from operational systems or data silos to long-term storage. It helps optimize system performance, reduce storage costs, and maintain access to historical data when needed.

Data Catalog

A data catalog is a centralized inventory or metadata repository that provides information about available data assets, including their location, structure, and relationships. It helps data users discover, understand, and access data.

Data Governance in Oil and Gas:

Data governance in the Oil and Gas industry involves defining policies, processes, and standards for data management, security, and compliance. It ensures data quality, privacy, and regulatory adherence.

Data Governance:

Data governance refers to the overall management and control of data assets within an organization. It includes defining data standards, policies, and procedures to ensure data quality, security, and compliance.

Data Historian

A data historian is a specialized database that stores and manages time-series data from industrial processes. It enables efficient storage, retrieval, and analysis of historical data for trend analysis and operational insights.

Data Integration Platform

A data integration platform is a software solution that facilitates the integration of data from disparate sources, including data silos. It provides tools and capabilities to extract, transform, and load data, enabling seamless data integration and consolidation.

Data Integration

Data integration involves combining data from multiple sources or systems into a unified and consistent format. In discrete manufacturing, it involves integrating data from various operational systems such as ERP, MES, and PLM for comprehensive analysis.

Data Mapping

Data mapping involves defining the relationships and mappings between data elements in different systems or databases. It helps align and reconcile data across different silos, enabling effective data integration and analysis.

Data Data Monetization

Data monetization involves generating value and revenue from data assets. It includes analyzing and leveraging data from different silos to derive insights, create new products or services, or enable data-driven decision-making that can lead to business growth and profitability.

Data Ownership

Data ownership refers to the accountability and responsibility of individuals or departments for the management and integrity of specific data sets. Clear data ownership helps in ensuring data accuracy, security, and proper governance across different silos.

Data Privacy

Data privacy refers to protecting the confidentiality and privacy of personally identifiable information (PII) or sensitive data. It involves implementing security measures, obtaining consent, and complying with relevant privacy regulations when handling and integrating data from different silos.

Data Quality

Data quality refers to the accuracy, completeness, consistency, and reliability of data. It involves ensuring that data meets predefined quality standards and is fit for its intended use.

Data Security

Data security focuses on protecting data from unauthorized access, disclosure, alteration, or destruction. It involves implementing security measures such as encryption, access controls, and data masking to safeguard sensitive information.

Data Stewardship

Data stewardship involves the management and oversight of data assets within an organization. Data stewards are responsible for ensuring data quality, data integrity, and adherence to data governance policies across different data silos.

Data Transformation

Data transformation involves converting data from one format or structure to another to facilitate data integration. It may include tasks such as data cleansing, aggregation, normalization, or applying business rules to align data from different silos.

Data Warehouse

A data warehouse is a centralized repository that stores large amounts of structured and organized data from various sources. It serves as a single source of truth and facilitates data integration and analysis across different silos.

DataOps Analytics

DataOps analytics involves leveraging data and analytics techniques to optimize and improve data operations processes. It focuses on identifying bottlenecks, inefficiencies, and opportunities for optimization within the data operations lifecycle.

DataOps Automation

DataOps automation involves using tools and technologies to automate repetitive and manual tasks involved in data operations. It helps improve efficiency, reduce errors, and streamline data workflows.

DataOps Collaboration

DataOps collaboration refers to the practice of fostering collaboration and communication among different teams involved in data operations. It promotes cross-functional knowledge sharing, problem-solving, and innovation.

DataOps Continuous Delivery

DataOps continuous delivery is an approach that emphasizes the frequent and automated deployment of data pipelines and processes. It enables rapid and reliable delivery of data products and insights to end-users.

DataOps Orchestration

DataOps orchestration involves coordinating and managing the execution of data operations tasks and processes. It ensures that data flows smoothly through the pipeline and that dependencies and workflows are properly managed.

DataOps Platform

A DataOps platform is a comprehensive software solution that supports and automates various data operations tasks such as data integration, data quality management, data pipeline orchestration, and monitoring.

DataOps Sandbox

A DataOps sandbox is an isolated and controlled environment where data engineers and data scientists can experiment, develop, and test new data processes, algorithms, and models without affecting production systems.

Demand Forecasting

Demand forecasting is the process of estimating future customer demand for products. It involves analyzing historical data, market trends, and customer insights to predict demand patterns and optimize production planning.

Digital Energy Management

Digital energy management involves using data analytics and optimization techniques to improve energy efficiency and reduce environmental impact in the Oil and Gas industry. It includes monitoring energy consumption, optimizing processes, and implementing energy-saving initiatives.

Digital Factory

A digital factory refers to the integration of digital technologies and data-driven processes throughout the manufacturing facility. It includes technologies such as IoT, automation, and advanced analytics to optimize production and improve efficiency.

Digital Field Operations

Digital field operations utilize digital technologies and real-time data to optimize and automate field operations in the Oil and Gas industry. It includes remote monitoring, predictive maintenance, and workflow automation.

Digital Maintenance Management

Digital maintenance management focuses on using digital technologies and data analytics to optimize maintenance strategies and activities in the Oil and Gas industry. It includes condition monitoring, predictive maintenance, and asset reliability analysis.

Digital Supply Chain Management

Digital supply chain management focuses on leveraging digital technologies and data analytics to optimize the end-to-end supply chain operations in the Oil and Gas industry. It includes inventory management, logistics optimization, and demand forecasting.

Digital Twin

A digital twin is a virtual replica or simulation of physical assets in the Oil and Gas industry, such as oil rigs or refineries. It integrates real-time data and analytics to enable predictive maintenance, optimization, and performance analysis.

Distributed Energy Resources (DERs)

Distributed Energy Resources are small-scale power generation and storage systems located near or on the consumer's premises. Examples include rooftop solar panels, small wind turbines, and battery storage systems.

Drillstring Dynamics

Drillstring dynamics refers to the analysis and optimization of drillstring behavior during drilling operations. It involves studying factors such as vibration, torque, and drag to improve drilling efficiency and reduce wear on equipment.

Data Cleansing

Data cleansing, also known as data scrubbing, is the process of identifying and correcting or removing errors, inconsistencies, or inaccuracies in data. It ensures data accuracy and reliability for decision-making and analysis.

Data Democratization

Data democratization is the process of making data accessible and available to a wider range of users within an organization. It aims to break down data silos and empower employees with self-service access to data for analysis and decision-making.

Data Extraction, Transformation, and Loading (ETL)

ETL refers to the processes involved in extracting data from various sources, transforming it into a consistent format, and loading it into a target system, such as a data warehouse. ETL processes are crucial for integrating data from different silos.

Data Governance Council

A Data Governance Council is a group of stakeholders responsible for establishing and enforcing data governance policies and strategies within an organization. It includes representatives from various departments to ensure cross-functional alignment.

Data Governance Framework

A data governance framework is a set of policies, processes, and guidelines that govern the management and use of data across an organization. It provides a structured approach to ensure data integrity, privacy, security, and compliance across different data silos.

Data Lake Governance:

Data Lake Governance:Data lake governance refers to the processes and policies for managing and governing data stored in a data lake. It includes data access controls, metadata management, and data quality standards.

Data Lineage

Data lineage refers to the ability to trace and understand the origin, transformations, and movement of data throughout its lifecycle. It helps in data quality analysis, compliance, and understanding the impact of changes.

Data Extraction, Transformation, and Loading (ETL)

ETL refers to the processes involved in extracting data from various sources, transforming it into a consistent format, and loading it into a target system, such as a data warehouse. ETL processes are crucial for integrating data from different silos.

Data Logging

Data logging is the process of recording and storing historical data from a SCADA system. It captures process variables, alarms, events, and other relevant information for analysis, troubleshooting, and regulatory compliance purposes.

Data Loss Prevention (DLP)

Data loss prevention is a strategy that aims to prevent sensitive or confidential data from being lost, leaked, or accessed by unauthorized parties. It involves implementing security controls, monitoring data access, and enforcing data protection policies across data silos.

Data Mart

A data mart is a specialized subset of a data warehouse that focuses on specific business functions or departments. It contains data relevant to a particular area and provides a more targeted view of data compared to the broader data warehouse.

Data Monitoring

Data monitoring involves continuously tracking and observing data streams, pipelines, and systems to ensure their proper functioning and detect any anomalies, errors, or performance issues in real time.

Data Pipeline

A data pipeline is a sequence of processes and tools that extract, transform, and load data from source systems to target systems. It enables the smooth flow of data throughout the data ecosystem.

Data Profiling

Data profiling is the process of analyzing and assessing the quality, structure, and content of data. It helps identify data anomalies, inconsistencies, and patterns to support data cleansing and transformation efforts.

Data Replication

Data replication is the process of copying and synchronizing data from one system or database to another. It can be used to replicate data from different silos to a centralized location, ensuring data consistency and availability. transformation efforts.

Data Silo

A data silo refers to a situation where data is stored and managed in isolated systems or departments within an organization, making it difficult to access, share, and integrate data across different parts of the organization.

Data Synchronization

Data synchronization refers to the process of ensuring that data is consistent and up-to-date across different systems or databases. It involves updating data in real-time or near real-time to maintain data integrity and eliminate discrepancies between data silos.

Data Virtualization

Data virtualization is a technology that enables users to access and query data from various sources, including data silos, without physically moving or replicating the data. It provides a virtual, unified view of data, simplifying data integration and reducing data redundancy.

DataOps Agile Methodology

DataOps Agile methodology is an iterative and incremental approach to managing data operations projects. It emphasizes collaboration, flexibility, and adaptive planning to deliver value quickly and respond to changing requirements.

DataOps Architecture

DataOps architecture refers to the design and structure of the data operations environment. It includes components such as data storage, data processing engines, data integration tools, and monitoring systems.

DataOps Best Practices

DataOps best practices are established guidelines and recommendations for implementing effective data operations. These practices cover areas such as data governance, data quality management, data integration, and data security.

DataOps Compliance

DataOps best practices are established guidelines and recommendations for implementing effective data operations. These practices cover areas such as data governance, data quality management, data integration, and data security.

DataOps for Oil and Gas

DataOps practices and methodologies specifically tailored for the Oil and Gas industry, focusing on optimizing data operations in exploration, production, refining, and distribution processes.

DataOps Maturity Model

A DataOps maturity model provides a roadmap for organizations to assess and improve their Data.

DataOps Metrics

DataOps metrics are key performance indicators (KPIs) used to measure and evaluate the performance, efficiency, and effectiveness of data operations. Examples include data processing time, data quality score, and data availability.

DataOps Team

A DataOps team consists of professionals responsible for implementing and managing data operations within an organization. It typically includes data engineers, data analysts, data scientists, and other relevant roles.


DataOps refers to a set of practices and methodologies that combine data engineering, data integration, and data quality management to improve the efficiency and reliability of data operations within an organization.

Demand Response

Demand response is a strategy that involves adjusting electricity usage in response to supply and demand fluctuations or price signals. It aims to reduce peak demand and balance the electrical grid.

Digital Drilling Operations

Digital drilling operations utilize digital technologies, real-time data, and advanced analytics to optimize drilling processes and improve drilling efficiency. It includes automated drilling systems, real-time monitoring, and drilling performance analysis.

Digital Oilfield Collaboration

Digital oilfield collaboration involves leveraging digital technologies to enable collaboration and communication among various stakeholders involved in oil and gas operations. It includes virtual meetings, shared workspaces, and collaborative decision-making.

Digital Oilfield Operations Center

A digital oilfield operations center is a centralized facility where real- time data from oil and gas operations is monitored, analyzed, and acted upon. It enables remote decision-making, collaboration, and control of field operations.

Digital Oilfield

A digital oilfield is an integrated system that combines real-time data, advanced analytics, and automation technologies to optimize oil and gas operations. It enables remote monitoring, control, and decision-making for improved efficiency and safety.

Digital Thread

The digital thread refers to the seamless flow of digital information and data throughout the product lifecycle, from design and engineering to manufacturing and maintenance. It enables data continuity, collaboration, and traceability.

Digital Transformation in Oil and Gas:

Digital transformation in the Oil and Gas industry involves leveraging data, analytics, and emerging technologies to drive innovation, improve efficiency, and enhance decision-making across the value chain.

Downhole Data

Downhole data refers to data collected from sensors and instruments located downhole in oil and gas wells. It includes temperature, pressure, flow rates, and other parameters critical for reservoir characterization and well performance evaluation.

Drilling Optimization

Drilling optimization involves using data analytics, modeling, and real-time monitoring to improve drilling performance, reduce costs, and enhance well productivity. It includes techniques such as well placement optimization and drilling parameter analysis.

Economic Stranding

Economic stranding refers to assets becoming stranded due to unfavorable economic conditions, such as low commodity prices, high operational costs, or reduced profitability, making investments in those assets unattractive or financially unsustainable.

Energy Efficiency

Energy efficiency refers to the optimization of energy use to achieve maximum output or desired results with minimum energy consumption. It involves using technologies and practices that reduce energy waste and improve overall efficiency.

Energy Storage

Energy storage involves storing surplus energy for later use, typically during periods of low demand or high renewable energy generation. It helps balance supply and demand, improve grid stability, and enhance renewable energy integration.

Error-proofing (Poka-Yoke)

Error-proofing, also known as Poka-Yoke, is a technique used to prevent human errors or mistakes during manufacturing processes. It includes the use of visual cues, sensors, and automation to guide operators and prevent errors.

Extract, Transform, Load (ETL)

ETL is a process used to extract data from source systems, transform it into a suitable format, and load it into a target system such as a data warehouse or data lake. It involves cleaning, standardizing, and enriching the data as needed.

Energy Audit

An energy audit is a systematic assessment of energy usage in a building, facility, or industrial process. It identifies energy-saving opportunities, evaluates energy efficiency measures, and recommends improvements to reduce energy consumption.

Energy Management System (EMS)

An energy management system is a software platform that helps monitor, control, and optimize energy usage in buildings, industrial facilities, or across an entire energy network. It facilitates energy data analysis, demand response, and efficiency improvements.

Environmental Monitoring

Environmental monitoring involves collecting and analyzing data to assess and mitigate the environmental impact of oil and gas operations. It includes monitoring air quality, water quality, noise levels, and wildlife habitats.

Event-driven Actions

Event-driven actions in a SCADA system are predefined actions triggered by specific events or conditions. For example, an event-driven action can be the automatic shutdown of a process when a critical parameter exceeds a certain threshold.


Failover is a mechanism in a SCADA system that automatically switches to a backup system or network in case of a failure in the primary system. It ensures uninterrupted data collection, control, and monitoring, minimizing downtime and disruptions.

Flare Management

Flare management involves the monitoring and control of flaring activities in oil and gas facilities. It aims to minimize the environmental impact by optimizing the combustion process and reducing flare volumes.

Failure Mode and Effects Analysis (FMEA)

Failure mode and effects analysis is a systematic approach to identify and prioritize potential failures or risks in a manufacturing process. It assesses the severity, occurrence, and detectability of failures and helps in risk mitigation.

Fossil Fuels

Fossil fuels are hydrocarbon-based energy sources formed from the remains of ancient plants and animals. The main types of fossil fuels are coal, oil, and natural gas. They are non-renewable resources and major contributors to greenhouse gas emissions.

Gas Lift Optimization

Gas lift optimization focuses on optimizing the performance of gas lift systems in oil wells. It includes analyzing production data, gas injection rates, and well performance to maximize production and efficiency.

Geospatial Analytics

Geospatial analytics involves the analysis of spatial data, such as maps and satellite imagery, to gain insights into oil and gas exploration, reservoir characterization, and environmental impact assessment.

Grid Integration

Grid integration refers to the integration of various energy sources and systems into the electrical grid. It involves coordinating and managing the flow of electricity from diverse sources to ensure stability, reliability, and optimal utilization.


A historian is a software component of a SCADA system that stores and manages historical data collected over time. It enables data retrieval, analysis, and reporting functions, allowing operators and analysts to examine trends, patterns, and performance metrics.

Historical Data Analysis

Historical data analysis involves examining and analyzing historical data collected by a SCADA system. It helps identify patterns, trends, and correlations over time, enabling operators and analysts to make data-driven decisions and optimize processes.

Hydrocarbon Accounting

Hydrocarbon accounting involves the accurate measurement, tracking, and reporting of oil and gas volumes throughout the production and distribution process. It ensures proper accounting and revenue allocation.

HMI/SCADA (Human-Machine Interface/Supervisory Control and Data Acquisition)

HMI/SCADA refers to the graphical user interface and software used to monitor and control industrial processes in real-time. It provides operators with a visual representation of the system and access to real-time data.

Human-Machine Interface (HMI)

The Human-Machine Interface (HMI) is the graphical interface through which operators interact with the SCADA system. It provides visual representations of data, alarms, and controls, allowing operators to monitor and control industrial processes effectively.

Incident Management

Incident management focuses on responding to and managing safety, environmental, and operational incidents in the Oil and Gas industry. It involves incident reporting, investigation, and mitigation to prevent recurrence.

Industrial Data

Industrial data refers to the data generated within industrial processes and systems. It includes data from sensors, machines, production lines, and other sources within an industrial setting.

Just-in-Time (JIT)

Just-in-Time is a manufacturing strategy that aims to produce and deliver products at the precise time they are needed, minimizing inventory holding costs and waste. JIT relies on accurate demand forecasting, efficient production planning, and reliable supply chain management.


Kanban is a visual scheduling and control system used in manufacturing to manage the flow of materials and tasks. It uses visual cues, such as cards or boards, to signal the need for replenishment or action at various stages of the production process.

Leak Detection and Prevention

Leak detection and prevention involve technologies and measures to detect and prevent leaks in oil and gas pipelines, tanks, and equipment. It includes leak detection systems, integrity monitoring, and emergency response protocols.

Load Balancing

Load balancing is a technique used in a SCADA system to distribute data traffic evenly across multiple servers or network components. It optimizes resource utilization, improves system performance, and prevents bottlenecks.

Manufacturing Execution System (MES)

A manufacturing execution system is a software system that manages and controls manufacturing operations on the shop floor. It tracks real-time production data, monitors equipment, and provides visibility into production processes.

Master Data Management (MDM)

Master data management is a comprehensive approach to managing and harmonizing critical data elements across different data silos. It aims to create and maintain a single, reliable, and consistent version of master data, such as customer or product information.

Master Terminal Unit (MTU)

A Master Terminal Unit (MTU) is a component of a SCADA system responsible for managing and coordinating multiple Remote Terminal Units (RTUs). It serves as the central hub for data collection, control, and communication with the field devices.

Multiphase Flow Metering

Multiphase flow metering refers to the measurement and monitoring of oil, gas, and water simultaneously in a single flow stream. It enables accurate measurement and allocation of mixed-phase hydrocarbon production.

Materials Management

Materials management involves the planning, procurement, and inventory management of materials and equipment used in oil and gas operations. It includes supply chain optimization, vendor management, and material tracking.

Metering and Measurement

Metering and measurement systems are used to accurately measure and record oil and gas quantities during production, transportation, and custody transfer. It ensures accurate accounting and billing.


A microgrid is a localized energy system that can operate independently or in conjunction with the main electrical grid. It often integrates renewable energy sources, energy storage, and advanced control systems to provide reliable and resilient power supply.

Natural Language Processing (NLP)

Natural Language Processing is a branch of artificial intelligence that focuses on understanding and analyzing human language. In the Oil and Gas industry, NLP can be used for tasks such as text mining, sentiment analysis, and document classification.

Network Redundancy

Network redundancy in a SCADA system involves implementing duplicate network infrastructure to ensure continuous and reliable communication. It helps prevent communication failures, improves system availability, and enhances fault tolerance.

Net Metering

Net metering is a billing arrangement that allows electricity consumers with their own renewable energy systems to feed excess power back into the grid. The excess energy offsets the energy consumed from the grid, resulting in reduced electricity bills.

Operational Data Store (ODS)

An operational data store is a centralized database that integrates data from multiple operational systems in real-time. It provides a unified view of current operational data for analysis and reporting purposes.

Operational Risk Management

Operational risk management focuses on identifying, assessing, and mitigating operational risks in the Oil and Gas industry. It includes risk assessment, mitigation strategies, and incident response planning.

Operational Intelligence

Operational intelligence refers to the use of real-time data analytics and visualization to gain insights into operational performance and make data-driven decisions. It helps optimize processes, improve safety, and increase efficiency.

Overall Equipment Efficiency (OEE)

Overall Equipment Efficiency is a metric used to measure the effectiveness and productivity of manufacturing equipment. It combines measures of equipment availability, performance, and quality to assess overall equipment performance.

Peak Load Management

Peak load management involves strategies and measures to manage or reduce energy consumption during peak demand periods. It includes load shifting, demand response programs, and peak pricing incentives.

Pipeline Integrity Management

Pipeline integrity management focuses on ensuring the safe and reliable operation of oil and gas pipelines. It involves data-driven inspection, maintenance, and risk assessment strategies to prevent leaks and failures.

Power Purchase Agreement (PPA)

A power purchase agreement is a contract between an electricity generator and a power purchaser, typically a utility or corporate entity. It outlines the terms and conditions of buying or selling electricity, often from renewable energy sources.

Process Optimization

Process optimization involves analyzing and improving manufacturing processes to increase efficiency, reduce waste, and enhance productivity. It uses data analytics, modeling, and simulation techniques to identify bottlenecks and implement improvements.

Product Lifecycle Management (PLM)

Product lifecycle management refers to the management of a product's entire lifecycle, from conception and design to manufacturing, distribution, and end-of-life. PLM systems help streamline and optimize product development processes.

Production Allocation

Production allocation involves the measurement and allocation of oil and gas production to individual wells, leases, or partners. It ensures accurate accounting and revenue sharing based on production volumes and ownership stakes.

Production Optimization

Production optimization involves using data analytics and modeling techniques to maximize oil and gas production rates while minimizing costs and maintaining safety and environmental standards.

Pipeline Integrity Assessment

Pipeline integrity assessment involves evaluating the structural integrity and reliability of oil and gas pipelines. It includes techniques such as inline inspection (ILI) and hydrostatic testing to identify defects, corrosion, and anomalies.

Power Generation

Power generation refers to the process of producing electrical energy from various sources such as fossil fuels, nuclear energy, renewable sources (wind, solar, hydro), and others.

Predictive Maintenance

Predictive maintenance uses data analytics and machine learning algorithms to predict equipment failures or maintenance needs in advance. It helps optimize maintenance schedules, reduce downtime, and improve asset reliability.

Process Standardization

Process standardization involves establishing consistent and standardized processes across manufacturing operations. It helps in reducing variations, improving quality, and enhancing productivity by ensuring consistent practices and procedures.

Production Allocation System

A production allocation system is a software tool or solution used to accurately allocate and distribute produced oil, gas, and other hydrocarbon products among different stakeholders, leases, or fields.

Production Forecasting

Production forecasting involves using historical data, reservoir modeling, and predictive analytics to estimate future oil and gas production rates. It helps in planning and decision- making for production optimization.

Programmable Logic Controller (PLC)

A Programmable Logic Controller (PLC) is a ruggedized computerized device used in SCADA systems to control and automate industrial processes. It receives input from sensors, executes predefined logic, and sends output signals to actuators, enabling process control and automation.

Quality Assurance (QA)

Quality assurance encompasses activities and processes designed to ensure that products meet or exceed customer expectations and comply with quality standards. It involves inspections, testing, and adherence to quality control protocols.

Real-time Control

Real-time control in a SCADA system involves the ability to make immediate control decisions and implement changes based on real-time data. It allows operators to respond quickly to changing conditions, optimize processes, and ensure operational efficiency.

Real-Time Production Monitoring

Real-time production monitoring involves collecting and analyzing data from manufacturing operations in real-time. It provides visibility into production metrics, performance indicators, and enables proactive decision-making.

Redundant Servers

Redundant servers are duplicate server systems set up in a SCADA system to provide failover and high availability. If one server fails, the redundant server takes over seamlessly, ensuring continuous operation and data integrity.

Regulatory Stranding

Regulatory stranding occurs when assets become stranded as a result of changes in government regulations, policies, or standards that render certain activities or technologies economically unviable or non-compliant.

Remote Sensing

Remote sensing involves the use of satellite or airborne sensors to collect data about the Earth's surface, atmosphere, and oceans. In the Oil and Gas industry, it can be used for environmental monitoring, exploration, and pipeline surveillance.

Renewable Energy

Renewable energy refers to energy derived from naturally replenishing sources, such as sunlight, wind, water, biomass, and geothermal heat. It is considered environmentally friendly and sustainable.

Reservoir Data Management

Reservoir data management involves collecting, organizing, and analyzing data related to oil and gas reservoirs. It includes data on production rates, pressure, temperature, fluid composition, and geological information.

Rig Automation

Rig automation involves the use of advanced technologies, such as robotics and artificial intelligence, to automate drilling and rig operations. It improves safety, efficiency, and reduces human error.

Real-Time Drilling Data

Real-time drilling data refers to the continuous collection and analysis of data during drilling operations. It includes data on drilling parameters, formation evaluation, wellbore stability, and geomechanics to optimize drilling performance.

Real-Time Monitoring

Real-time monitoring in a SCADA system involves continuously tracking and displaying real-time data from industrial processes. It provides operators with up-to-date information about system performance, alarms, and critical parameters, enabling them to make informed decisions and take prompt actions.

Regulatory Compliance Management

Regulatory compliance management involves ensuring adherence to applicable laws, regulations, and industry standards in the Oil and Gas industry. It includes monitoring, reporting, and compliance audits.

Remote Access

Remote access in a SCADA system allows authorized personnel to access and control the system from remote locations. It enables remote monitoring, troubleshooting, and management of industrial processes, improving operational efficiency and reducing maintenance costs.

Remote Terminal Unit (RTU)

A Remote Terminal Unit (RTU) is a hardware component of a SCADA system that interfaces with field devices, such as sensors and actuators. It collects data from these devices and communicates with the central SCADA system, facilitating data acquisition and control.

Reserves Stranding

Reserves stranding refers to the devaluation or loss of value of proven fossil fuel reserves that may become unextractable or uneconomical due to carbon pricing, regulatory restrictions, or shifts in energy markets and consumption patterns.

Rig Analytics

Rig analytics involves analyzing data collected from drilling rigs to optimize drilling operations, reduce downtime, and improve safety. It includes monitoring equipment performance, drilling parameters, and predictive maintenance.

Root Cause Analysis (RCA)

Root cause analysis is a problem-solving technique used to identify the underlying causes of manufacturing issues or defects. It involves systematically analyzing data, process flows, and factors to determine the root cause and implement corrective actions.

Sand Management

Sand management involves strategies and technologies to control and mitigate the presence of sand or solids in oil and gas production. It includes sand control measures, erosion monitoring, and sand disposal techniques.

SCADA Integration

SCADA integration involves connecting and integrating SCADA systems with other enterprise systems, such as ERP (Enterprise Resource Planning) and EAM (Enterprise Asset Management), to enable data exchange and interoperability.

SCADA System

SCADA (Supervisory Control and Data Acquisition) system is a centralized software and hardware infrastructure used to monitor and control industrial processes, equipment, and systems. It collects real-time data, provides visualization, and enables remote control and management of various devices and operations.

Seismic Data Processing

Seismic data processing is the analysis and interpretation of seismic data collected during exploration activities. It involves filtering, imaging, and modeling techniques to identify subsurface structures and potential hydrocarbon reservoirs.

Standard Operating Procedures (SOP)

Standard Operating Procedures are documented instructions that outline the steps, guidelines, and best practices for performing specific manufacturing tasks or processes. SOPs ensure consistency, quality, and compliance with standards.

Stranded Asset Advocacy

Stranded asset advocacy involves engaging in public discourse, lobbying, or awareness campaigns to highlight the risks and impacts of stranded assets. It aims to promote sustainable and responsible decision-making in policy, investment, and energy transition efforts.

Stranded Asset Decommissioning

Stranded asset decommissioning involves the safe and environmentally sound removal or retirement of assets that have become stranded. It includes processes such as asset dismantling, site restoration, and waste management.

Stranded Asset Divestment

Stranded asset divestment refers to the process of selling or disposing of assets that are at risk of becoming stranded. Organizations may choose to divest from such assets to mitigate financial and reputational risks associated with stranded asset exposure.

Stranded Asset Liability

Stranded asset liability refers to the potential legal, financial, or environmental obligations associated with stranded assets. It includes costs such as decommissioning, site remediation, or fulfilling contractual commitments related to stranded assets.

Stranded Asset Opportunity

Stranded asset opportunity refers to the potential for new investments or business ventures arising from the transition away from stranded assets. It includes areas such as renewable energy, energy efficiency, sustainable infrastructure, and innovative technologies that align with emerging market trends and needs.

Stranded Asset Reclamation

Stranded asset reclamation refers to the process of reclaiming value or repatriating assets that were previously stranded. It may involve exploring new technologies, market opportunities, or policy incentives that can revive asset viability.

Stranded Asset Repurposing

Stranded asset repurposing involves finding alternative uses or applications for assets that have become stranded. It may include exploring options for adaptive reuse, conversion to new industries, or repurposing infrastructure for renewable energy generation.

Stranded Asset Resilience

Stranded asset resilience refers to an organization's ability to withstand and adapt to the risks and impacts of stranded assets. It involves proactive planning, scenario analysis, and portfolio management strategies to navigate potential disruptions and capitalize on emerging opportunities.

Stranded Asset Risk Assessment

Stranded asset risk assessment involves identifying and evaluating the potential risks and vulnerabilities associated with specific assets in relation to becoming stranded. It helps organizations prioritize risk mitigation strategies and allocate resources effectively.

Stranded Asset Tracking

Stranded asset tracking involves monitoring and evaluating the performance and value of assets at risk of becoming stranded. It helps organizations stay informed about market trends, policy changes, and technological advancements that may impact asset viability.

Stranded Asset Valuation

Stranded asset valuation involves determining the financial worth or market value of assets that may become stranded. It considers factors such as future cash flows, discounted cash flow analysis, and risk assessments to estimate the potential impact on asset value.

Stranded Fossil Fuel Assets

Stranded fossil fuel assets are fossil fuel reserves, including coal, oil, and gas, that may become unburnable or uneconomical to exploit due to efforts to mitigate climate change, transitioning to renewable energy sources, or shifts in energy demand.

Streaming Data

Streaming data refers to continuous and real-time data generated from various sources such as sensors, IoT devices, and social media. It requires specialized processing techniques to handle the data as it flows.

Supervisory Control

Supervisory control refers to the capability of a SCADA system to remotely monitor and manage industrial processes. It allows operators to visualize process data, change setpoints, and send control commands to field devices, ensuring optimal system performance.

Supply Chain Optimization

SSupply chain optimization focuses on streamlining and improving the efficiency of the end-to-end supply chain processes. It involves optimizing inventory levels, transportation routes, and supplier relationships to reduce costs and enhance customer satisfaction.

SCADA (Supervisory Control and Data Acquisition)

SCADA is a system used in the Oil and Gas industry to monitor and control industrial processes, such as pipeline operations and offshore platforms. It involves collecting real-time data and providing remote control capabilities.

SCADA Protocol

A SCADA protocol is a set of rules and standards that governs the communication between different components of a SCADA system, such as RTUs, PLCs, and the central server. Examples of SCADA protocols include Modbus, DNP3.


Scalability in a SCADA system refers to its ability to accommodate increasing data volumes, devices, and users without compromising performance or stability. A scalable SCADA system can grow and adapt to changing operational requirements over time.

Smart Grid

A smart grid is an advanced electrical grid system that integrates modern communication, automation, and control technologies. It enables two-way communication between power suppliers and consumers, optimizing energy distribution and improving reliability.

Statistical Process Control (SPC)

Statistical process control is a methodology used to monitor and control manufacturing processes to ensure they are stable and within specified limits. It involves statistical analysis of process data to identify variations and take corrective actions.

Stranded Asset Assessment

Stranded asset assessment involves evaluating the potential risks and impacts of stranded assets on an organization's portfolio or investments. It includes analyzing factors such as carbon intensity, resource availability, market trends, and policy changes to identify vulnerable assets.

Stranded Asset Disclosure

Stranded asset disclosure involves transparent reporting and communication of the potential risks and impacts of stranded assets in an organization's financial statements, sustainability reports, or regulatory filings. It helps investors and stakeholders understand the organization's exposure to such risks.

Stranded Asset Insurance

Stranded asset insurance provides coverage or protection against potential financial losses resulting from stranded assets. It may include insurance products tailored to mitigate risks associated with regulatory changes, market shifts, or technological disruptions.

Stranded Asset Mitigation

Stranded asset mitigation refers to strategies and actions taken to minimize the risk and potential impacts of stranded assets. It may involve diversifying investments, transitioning to low-carbon technologies, or adopting flexible business models to adapt to changing market conditions.

Stranded Asset Portfolio Management

Stranded asset portfolio management involves actively managing and optimizing an organization's asset portfolio to mitigate stranded asset risks. It includes assessing asset exposure, diversifying investments, and aligning the portfolio with evolving market trends.

Stranded Asset Reinvestment

Stranded asset reinvestment involves redirecting capital or resources from stranded assets to alternative investment opportunities. It aims to reallocate funds to projects or sectors that align with sustainable and resilient growth strategies.

Stranded Asset Resettlement

Stranded asset reinvestment involves redirecting capital or resources from stranded assets to alternative investment opportunities. It aims to reallocate funds to projects or sectors that align with sustainable and resilient growth strategies.

Stranded Asset Resurgence

Stranded asset resurgence refers to the potential for assets that were previously considered stranded to regain value or viability due to changes in market conditions, technological breakthroughs, or shifts in policy frameworks.

Stranded Asset Risk

Stranded asset risk refers to the potential financial and operational risks associated with holding assets that may become stranded in the future. It includes factors such as regulatory, technological, market, and economic risks that can impact asset value and viability.

Stranded Asset Transition

Stranded asset transition involves the gradual shift or repurposing of assets to align with changing market dynamics and sustainability goals. It may include converting fossil fuel assets into renewable energy projects or repurposing infrastructure for alternative uses.

Stranded Assets

Stranded assets refer to assets, such as infrastructure, facilities, or resources, that have become prematurely or economically unviable or obsolete due to changes in market conditions, regulations, or technology. They are no longer able to generate expected returns or value.

Stranded Renewable Energy Assets

Stranded renewable energy assets are renewable energy projects or installations that become economically unviable or underutilized due to changes in government policies, market conditions, or technological advancements.

Subsurface Data Management

Subsurface data management involves the organization, integration, and analysis of data related to the subsurface geology and reservoirs. It includes well logs, seismic data, and reservoir simulation models.

Supplier Relationship Management (SRM)

Supplier Relationship Management involves managing relationships and interactions with suppliers to optimize the procurement and supply chain processes. It includes supplier performance evaluation, collaboration, and strategic partnerships.

System Integration

System integration in a SCADA context refers to the process of integrating the SCADA system with other enterprise systems, such as Enterprise Resource Planning (ERP) or Maintenance Management Systems (MMS). It enables seamless data exchange and facilitates coordinated operations across different departments.

Technological Stranding

Technological stranding refers to assets becoming stranded due to rapid advancements in technology that make existing infrastructure, equipment, or processes obsolete or less competitive.

Terminal Automation System

A terminal automation system is a comprehensive software solution that automates and manages the operations of oil and gas terminals, including inventory management, blending, loading, and scheduling.

Trend Analysis

Trend analysis in a SCADA system involves examining historical data to identify patterns, correlations, and anomalies. It helps operators and analysts understand system behavior, optimize processes, and detect potential issues or performance deviations.

Terminal Management

Terminal management involves the efficient and safe operation of oil and gas terminals, including storage tanks, loading and unloading facilities, and distribution networks. It includes inventory management, scheduling, and logistics optimization.

Total Productive Maintenance (TPM)

Total Productive Maintenance is a holistic approach to equipment maintenance that aims to maximize equipment effectiveness, minimize breakdowns, and optimize productivity. It involves preventive maintenance, operator involvement, and equipment reliability improvement.

UDS = Unified Data Space

A common point to which all data is propagated to facilitate easier access. Consumers not only need only a single connection to the Unified Data Space as opposed to multiple connections to various data sources but, also, the gathering of the data is isolated from the consumer so changes in the data gathering process does not necessarily impact the consumer.

Well Data Management

Well data management refers to the collection, integration, and analysis of data related to oil and gas wells. It includes well logs, drilling data, completions data, production data, and well performance information.

Well Intervention

Well intervention refers to activities performed on oil and gas wells during or after the drilling phase to improve or restore production. It includes operations such as stimulation, well cleanouts, and workovers.

Work Order Management

Work order management involves the creation, tracking, and management of work orders that specify the tasks, materials, and resources required to complete a manufacturing job. It helps in coordinating and scheduling production activities.

Work-In-Progress (WIP)

Work-In-Progress refers to partially completed products or materials that are in the process of being manufactured. WIP tracking and management help optimize production flow, identify bottlenecks, and manage inventory levels.

Well Integrity Management

Well integrity management focuses on ensuring the structural integrity of oil and gas wells throughout their lifecycle. It involves monitoring, inspection, and maintenance to prevent leaks, blowouts, and well failures.

Well Test Analysis

Well test analysis involves analyzing pressure and flow rate data collected during well testing operations. It helps evaluate reservoir properties, estimate reserves, and optimize production strategies.

Workforce Management

Workforce management involves optimizing the utilization and productivity of the manufacturing workforce. It includes workforce planning, scheduling, skill development, and performance management to align the workforce with production requirements.
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Table of Content

1. Purpose
1.1. Purpose and Goals
1.2. Why The Industrial DataOps Process Is Needed?
1.3. Industrial DataOps Practitioner Engagement
1.3.1. Oversee An Existing Industrial DataOps Program
1.3.2. High Data Secrecy Organizations
1.3.3. Full Engagement
1.4. Principles
1.4.1. Know Your Data
1.4.2. Curate Your Data
1.4.3. Unify Your Data
1.4.4. Analyze Your Data
1.4.5. Hardware, Software, and People Working Together
1.5. Lifecycle
2. Intention
2.1. Scope
2.2. Assumptions
3. Terminology & References
3.1. Definitions
3.2. Acronyms and Abbreviations
3.3. Industry References, Standards, Regulations and Guidelines
3.4. Site Related References, Standards, Regulations and Guidelines
4. Expectations and Responsibilities
4.1. Roles
4.2. Role Job Description
4.3. Role Assignment
5. Opportunity Identification
5.1. Need Initiated
5.2. Improvement Initiated
7. Baselining
7.1. Data Rationalization
7.2. Data Justification
7.3. Data Impact
7.4. Data Flow
7.4.1. Data Producer
7.4.2. Data Path
7.4.3. Data Consumer
7.5. Data Good State
7.5.1. Failure Conditions
7.5.2. Warning Conditions
7.5.3. Abnormal Conditions
7.6. Data Processing Team
8. Target Confidence Factors
9. Critical Success Factors
10. Risk Analysis / Mitigation Plan
10.1. Risk Analysis
10.2. Mitigation Plan
11. Technology Selection
11.1. Hardware
11.2. Software
11.3. People
12. Project Execution
12.1. Project Synergy
12.2. Project Synergy
12.3. Resource Acquisition
12.4. Scheduling
12.5. Implementation
12.6. Training
12.7. Maintenance
12.8. Contingency
13. Evaluation Vs Baseline
14. Calibration & Sustainment
14.1. Training
14.2. Maintenance
14.3. Obsolescence
15. Continuous Improvement Process
15.1. Continuous Process Documentation
15.2. Audit
16. Management Of Change (MOC)
16.1. Applicability
16.2. Methodology