SPE Reservoir Evaluation & Engineering
Volume 12, Number 4, August 2009, pp. 551-561

SPE-113269-PA

Effective EOR Decision Strategies With Limited Data: Field Cases Demonstration

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DOI  More information 10.2118/113269-PA http://dx.doi.org/10.2118/113269-PA

Citation

  • Manrique, E., Izadi, M., Kitchen, C., and Alvarado, V. 2009. Effective EOR Decision Strategies With Limited Data: Field Cases Demonstration. SPE Res Eval & Eng  12 (4): 551-561. SPE-113269-PA. doi: 10.2118/113269-PA.

Discipline Categories

  • 6.4 Primary and Enhanced Recovery Processes
  • 3.1 Asset and Portfolio Management
  • 6.7.2 Recovery Factors
  • 6.4.5 Thermal Methods (e.g.,Steamflood, Cyclic Steam, THAI, Combustion)

Summary

Enhanced-oil-recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions using different data sources. EOR projects traditionally have been associated with high capital and operational expenditures (CAPEX and OPEX, respectively) as well as high financial risk, which tend to limit the number of EOR projects launched. We propose a workflow for EOR evaluations that accounts for different volumes and quality of information. This flexible workflow has been applied successfully to oil-property evaluations and EOR-feasibility studies in many oil reservoirs. The method associated with the workflow relies on traditional (e.g., look-up tables, x-y correlations) and more-advanced (data mining for analog-reservoir search and geology indicators) screening methods, emphasizing identification of analogs to support decision making. The screening phase is combined with analytical or simplified numerical simulations to estimate full-field performance with reservoir-data-driven segmentation procedures. This paper illustrates the EOR decision-making workflow by use of field case examples from Asia, Canada, Mexico, South America, and the United States. The assets evaluated include reservoir types ranging from oil sands to condensate reservoirs. Different stages of development and information availability are discussed. Results show the advantage of a flexible decision-making workflow that can be adapted to the volume and quality of information by formulating the correct decision problem and concentrating on projects and/or properties with the highest expected economic merit. An interesting aspect of this approach is the combination of geologic and engineering data, minimizing experts' bias and combining technical and financial figures of merit. The proposed method has proved useful to screen and evaluate projects/properties very rapidly, identifying when upside potential exists.

© 2009. Society of Petroleum Engineers

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History

  • Original manuscript received: 12 February 2008
  • Meeting paper published: 20 April 2008
  • Revised manuscript received: 13 October 2008
  • Manuscript approved: 16 October 2008
  • Published online: 20 July 2009
  • Version of record: 9 September 2009