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
- 6 in the last 30 days
- 182 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 8.50|
|SPE Non-Member Price:||USD 25.00|
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|
Qi, Q., & Ershaghi, I. (2013, September 30). Aspects of Oilfield Related Accidents. Society of Petroleum Engineers. doi:10.2118/166412-MS.
International Association of Oil and Gas Producers: Process safety - leading key performance indicators. Supplement to IOGP Report 456, Jul 2016, http://www.iogp.org/Reports/Type/556/ID/811#sthash.uPQC7tPH.dpuf
Michael E. Rayner and Mark J. Cottier, "The more things change: Value creation, value capture, and the Internet of Things," Deloitte Review 17, May 30, 2015, http://dupress.com/articles/value-creation-value-capture-internet-of-things/
National Academies Publication -(2016): "Application of Remote Real-Time Monitoring to Offshore Oil and Gas Operations." Special Report 322, https://www.nrc.gov/docs/ML0906/ML090650437.pdf
Ershaghi, I.,Paul, D.,Hauser, M.,Crompton, J., & Sankur, V. (2016, September 6). CiSoft and Smart Oilfield Technologies. Society of Petroleum Engineers. doi:10.2118/181068-MS.
Data Mining with Shapelets for Predicting Valve Failures in Gas Compressors: Om Prasad Patri, Arash Saber Tehrani, Viktor Prasanna, Rajgopal Kannan, Anand Panangadan, University of Southern California. Nabor Reyna, Chevron, U.S.A. SPE Western Regional Meeting (WRM) 2016 / May 24-26, 2016, Anchorage, AK.
Smart Oilfield Safety Net: An Integrated System for Prediction of Asset Integrity: Opportunities: Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K Prasanna, Iraj Ershaghi, Xiang Li, Ulrich Neumann, Raghu Raghavendra, Mona Sharifi, Vega Sankur, Ke-Thia Yao, Suya You, University of Southern California.Jacques Blouin, Travis L. Harrington, Robert House, Joey Poret, Brian Thigpen, Chevron, U.S.A. SPE Intelligent Energy International Conference and Exhibition/ 6-8 September 2016, AECC, Aberdeen, UK.
Automated real-time process data analysis using online wavelet transforms fault detection, data cleansing, and compression: Alisha Deshpande, Joe Qin, University of Southern California Lisa Brenskelle, Chevron, U.S.A. SPE Intelligent Energy International Conference and Exhibition/ 6-8 September 2016, AECC, Aberdeen, UK.
Rapid Data Integration and Analysis for Upstream Oil and Gas Applications: Greg Harris 1, Om Patri 1, Ajitesh Srivastava 1, Yinuo Zhang 1, Anand Panangadan 1, Charalampos Chelmis 1, Randall McKee 2, Mo Theron 2, Viktor K. Prasanna 1, 1. University of Southern California, 2. Chevron U.S.A. Inc., SPE Annual Technical Conference, and Exhibition, 28-30 September 2015, Houston, Texas, USA.
Prediction of Remaining Life in Pipes using Machine Learning from Thickness Measurements: Mona Sharifi, Ke-Thia Yao, S. Raghavendra, Iraj Ershaghi, University of Southern California and Robert House and Jacques Blouin, Chevron U.S.A. Inc. SPE-173995-MS SPE Western Regional Meeting, April 27-20, 2015, Anaheim California.
Predicting Compressor Valve Failures from Multi-Sensor Data: Om Prasad Patri, University of Southern California;Nabor Reyna, Chevron Information Technology Company; Anand Panangadan, Viktor Prasanna, University of Southern California, SPE-174044-MS SPE Western Regional Meeting, April 27-20, 2015, Anaheim California.
Enriching Employee Ontology for Enterprises with Knowledge Discovery of Social Networks: Hao Wu, Charalampos Chelmis, Vikram Sorathia, Yinuo Zhang, Om Prasad Patri, Viktor K. Prasanna, University of Southern California, The 3rd Workshop on Social Network Analysis in Applications (SNAA 2013), August 25-28, 2013, Niagara Falls, Canada.
SPE 153271 Semiautomatic, Semantic Assistance to Manual Curation of Data in Smart Oil Fields: Charalampos Chelmis, Suchindra Agarwal, Jing Zhao, Vikram Sorathia, Viktor Prasanna (University of Southern California, CA, USA). SPE Western Regional Meeting 2012 / March 19-23, 2012. Bakersfield, California & SPE Economics and Management Journal.
Control Performance Monitoring of Excessive Oscillations of an Offshore Production Facility. Yingying Zheng, Joe Qin (University of Southern California, USA), Michael Barham (Chevron Energy Technology Company, Houston, USA) International Federation of Automatic Control Workshop - Automatic Control in Offshore Oil and Gas Production 5/31/2012-6/1/2012, Trondheim, Norway.