Data Ethics in Oil and Gas Operations
- Iraj Ershaghi (University of Southern California) | Milad A. Ershaghi | Andrei Popa (Chevron)
- Document ID
- Society of Petroleum Engineers
- SPE Western Regional Meeting, 22-26 April, Garden Grove, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Petroleum Engineers
- 7.5.1 Ethics, 3.1 Artificial Lift Systems, 7.2 Risk Management and Decision-Making, 3 Production and Well Operations, 7.5 Professionalism, Training, and Education, 7 Management and Information, 7.2.1 Risk, Uncertainty and Risk Assessment, 7.6.6 Artificial Intelligence, 6.3 Safety, 7.2.3 Decision-making Processes
- Big Data, Ethics, IOT, Compliance, Safety
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The use of data-driven cognitive solutions represents a major advancement in the management of oil and gas operations. Tools that integrate concepts from disciplines such as informatics, machine learning and predictive analytics can offer powerful solutions to allow improvements in the safety, efficiency and integrity of oil and gas operations. We discuss data systems that enhance traditional, human-based monitoring systems, with the aim of approaching risk-free operations.
Ethical decision-making is critical in the management of oil and gas operations. Digital data solutions effectively compensate for the limitations of human-based decision processes when confronted with data overload and multi-dimensional data systems. Increased adoption of data gathering, automation, data analytics and advanced computer-aided process control has already made its mark in the industry. Examples have emerged as for how in areas such as artificial lift, pipeline transportation and offshore operations, these data analytics techniques have helped in failure detection and prediction and smart management of such operations. The incorporation of data-intensive decision-making and smart risk management solutions have resulted in a step change in the improvement of the ethical foundation and the base underlying the industry. Moreover, these digital tools and machine-based cognitive processes for risk-avoidance solutions can help to build and restore the public's faith and trust in the industry. We also discuss how relying on digital solutions alone can have its limitations when it comes to professional ethics and responsibilities.
|File Size||601 KB||Number of Pages||13|
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