Creating Value by Implementing an Integrated Production Surveillance and Optimization System – An Operator's Perspective
- Sathish Sankaran (Anadarko Petroleum Corporation) | David Wright (Anadarko Petroleum Corporation) | Huan Gamblin (Anadarko Petroleum Corporation) | Dhilip Kumar (iLink Systems)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 9-11 October, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 7.1.5 Portfolio Analysis, Management and Optimization, 7.1 Asset and Portfolio Management, 7 Management and Information, 7.2.1 Risk, Uncertainty and Risk Assessment, 7.2 Risk Management and Decision-Making
- Lessons Learned, Value Creation, Scalable Implementation, Adoption, Surveillance, Real Time Reservoir Management, Digital Oilfield, Asset Management, Data Analytics, Machine Learning, Optimization
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As operations extend to deeper and more complex reservoirs, the industry is faced with challenges towards efficiently appraising and developing these fields. Some of the key operational challenges include predicting, identifying and mitigating reservoir and well performance issues under uncertainty. Exacerbating this is the issue of volatile oil prices, manpower, staff rotations, increasing volumes of telemetry data handled by asset personnel and complex designs. Engineers often respond to this challenge by reacting to the situation and developing personal tools (spreadsheets) that are often not scalable at the corporate level.
Further, the classical silos of analytical tools are not always able to characterize and pinpoint the cause of any performance degradation. In these situations, there is a need to get a holistic understanding of the well and reservoir behavior by employing various engineering tools and develop effective remediation strategies. This understanding and early remediation leads to maximizing the value of the asset investments through better and prompt decision-making and collaboration.
This paper describes some of the technical challenges faced in deepwater operations and the methodology adopted for implementing an integrated production surveillance and optimization (IPSO) system to mitigate the risks. The IPSO (deepwater digital oilfield) system is designed to be a culmination of emerging information and communications technologies, intelligent algorithms and fit-for-purpose asset management workflows. Case studies are presented highlighting the benefits from implementing the IPSO system across all deepwater assets, including improved well and facility uptime resulting in increased efficiency and reliability, automating data gathering, early understanding of reservoir behavior and better overall performance. In addition, best practices and lessons learned from this deployment in a green field environment were applied to other mature brown field operations within the company.
|File Size||2 MB||Number of Pages||18|