Implementing i-field-Integrated Solutions for Reservoir Management: A San Joaquin Valley Case Study
- Andrei Popa (Chevron Corporation) | K. Horner (Chevron Corporation) | Steve Cassidy (Chevron Corporation) | S. Opsal (Chevron Corporation)
- Document ID
- Society of Petroleum Engineers
- SPE Economics & Management
- Publication Date
- January 2012
- Document Type
- Journal Paper
- 58 - 65
- 2012. Society of Petroleum Engineers
- 7.6.1 Knowledge Management, 5.4.6 Thermal Methods
- heavy-oil operations, integrated reservoir management solutions
- 5 in the last 30 days
- 1,257 since 2007
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To achieve more-efficient business processes by exploiting data and knowledge management, real-time systems, and advanced analytical tools, most major integrated and service companies have developed, or are in the process of developing, intelligent programs also known as "Digital Oil Field of the Future" (CERA 2002). The i-fieldTM program represents Chevron's efforts to integrate people, processes, technology, and information to achieve its vision of upstream transformation. Ultimately, this vision translates to higher-quality decision making and changes the method in which assets are operated.
A new multiyear i-fieldTM program, Integrated Reservoir Management (i-RM), was initiated in the San Joaquin Valley (SJV) to enable efficient reservoir management (RM) and quality decision making for heavy-oil assests operating under steamflood enhanced-oil-recovery (EOR) technologies.
The paper describes the journey undertaken by the project team to build a proprietary steamflood-integrated RM tool that answers the basic never-ending engineering requirements: instant access to clean data, single source of information for everyone, and seamless data-tools linkage. The ultimate benefit is not only increased time spent by engineers and earth scientists to analyze data, but also consistent project design workflows and decision-making processes across fields. In addition to the previously described documented benefits, the manuscript includes the operator's experience with project framing, development, deployment, and user acceptance.
|File Size||3 MB||Number of Pages||8|
CERA. 2002. Digital Oil Field of the Future. Multiclient Study,Cambridge Energy Research Associates, Cambridge, Massachusetts (December2002).
Crompton, J. and Gilman, H. 2011. The Future of Integrated Operations.SPE Econ & Mgmt 3 (1): 45-51. SPE-127715-PA. http://dx.doi.org/10.2118/127715-PA.
Patel, A.N., Davis, D., Guthrie, C.F., Tuk, D., Nguyen, T.T., and Williams, J. 2005. Optimizing Cyclic Steam Oil Production With GeneticAlgorithms. Paper SPE 93906 presented at the SPE Western Regional Meeting,Irvine, California, USA, 30 March - 1 April. http://dx.doi.org/10.2118/93906-MS.
Popa, A., Ramos, R., Cover, A.B., and Popa, C.G. 2005. Integration ofArtificial Intelligence and Lean Sigma for Large-Field Production Optimization:Application to Kern River Field. Paper SPE 97247 presented at the SPE AnnualTechnical Conference and Exhibition, Dallas, 9-12 October. http://dx.doi.org/10.2118/97247-MS.
Popa, A.S., Popa, C.G., Malamma, M., and Hicks, J. 2008. Case-BasedReasoning Approach for Well Failure Diagnostics and Planning. Paper SPE 114229presented at the SPE Western Regional and Pacific Section AAPG Joint Meeting,Bakersfield, California, USA, 29 March-2 April. http://dx.doi.org/10.2118/114229-MS.
Sankaran, S., Olise, M.O., Meinert, D., and Awasthi, A. 2010.Realizing Value from Implementing i-field™ in a Deepwater Greenfield,Offshore Nigeria. Paper SPE 127691 presented at the SPE Intelligent EnergyConference and Exhibition, Utrecht, The Netherlands, 23-25 March. http://dx.doi.org/10.2118/127691-MS.