Practical Reservoir-Management Strategy To Optimize Waterflooded Pools With Minimum Capital Used
- Alireza Qazvini Firouz (Husky Energy) | Maureen Nwangene (Husky Energy) | Blaine Hollinger (Husky Energy) | Michael Kenny (Husky Energy) | Dante Vianzon (California Department of Conservation)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- November 2019
- Document Type
- Journal Paper
- 1,593 - 1,614
- 2019.Society of Petroleum Engineers
- reservoir management, waterflood optimization, dynamic reservoir surveillance, sustainable long-term recovery method, maximizing WF oil recovery with minimum capital expenditure
- 14 in the last 30 days
- 100 since 2007
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In this consistently low-oil-price environment, where infill drilling and new field developments struggle to meet economic metrics, production optimization continues to be a focus and driver for the industry. Currently, waterflooding contributes significantly to global oil production and is one of the main nonthermal techniques that can be applied to increase pool recovery. Although proper reservoir management of assets under waterflood (WF) is critical to reaching the highest recovery factor (RF) possible, it is difficult to achieve and maintain given the inherently dynamic nature of the production mechanism. Further, to achieve optimal reservoir management while providing the opportunity to leverage alternative enhanced-oil-recovery (EOR) technology, the existing subsurface and surface infrastructure should be fully optimized. Optimizing the subsurface and surface infrastructure in parallel with achieving optimal reservoir management will result in higher capital efficiency while improving key economic metrics such as operating costs (Opcost); reserves-replacement ratio; depreciation, depletion, and amortization; and overall earnings. Given the existing challenges that include reservoir-conformance problems, lack of reservoir energy, excess fluid production, wellbore/pipeline-integrity issues, and infrastructure constraints, how to fully optimize the current infrastructure while achieving optimal reservoir management in parallel is the main question and challenge.
Husky Energy’s medium-oil-reservoir-management strategy has been highly successful in reinforcing WF as a sustainable long-term recovery method. In this paper we will present a practical workflow to tackle the challenges highlighted by using a systematic reservoir/production-engineering approach with minimum additional capital expenditure (Capex). First, a robust framework was developed to answer three main questions: What is happening?, Why is it happening?, and How can it be improved? Then, a comprehensive dynamic surveillance methodology, consisting of both numerical and analytical techniques and a 10-step workflow for optimizing a WF project, is discussed. This is followed by the results achieved by using this strategy in three WF fields: the Wainwright Sparky, Wildmere Lloydminster, and Marsden-Manitou Sparky pools in the Lloydminster oil block. The positive effect that this reservoir-management process has had on all key financial metrics will be discussed. As an example, since the beginning of the optimization initiative, the Wainwright and Wildmere pool production has increased 21 and 23%, respectively, and the Opcost has decreased by 33 and 42%, respectively. Further, since implementing a similar strategy in 2016 at the Marsden-Manitou WF, its production has increased by 30% and its Opcost has decreased by more than 18%. Finally, we will present a WF-protocol checklist that has been developed as a guideline for engineers who need to optimize pool performance even in a capital-constrained environment.
|File Size||3 MB||Number of Pages||22|
Ahmad, T. 2006. Reservoir Engineering Handbook, third edition. Houston, Texas, USA: Gulf Professional Publishing.
Baker, R. 1997. Reservoir Management for Waterfloods. J Can Pet Technol 36 (4): 20–24. PETSOC-97-04-DAS. https://doi.org/10.2118/97-04-DAS.
Baker, R. and Gregor, V. 1989. Fracture Characterization of the Wainwright Pool. Paper presented at the Annual Technical Meeting, Calgary, Alberta, Canada, 12–16 June. PETSOC-88-39-45. https://doi.org/10.2118/88-39-45.
Baker, R. O., Stephenson, T. G., Lok, C. G. et al. 2012. Analysis of Flow and the Presence of Fractures and Hot Streaks in Waterflood Field Cases. Paper presented at the SPE Canadian Unconventional Resources Conference, Calgary, Alberta, Canada, 30 October–1 November. SPE-161177-MS. https://doi.org/10.2118/161177-MS.
Brouwer, D. R. and Jansen, J. D. 2004. Dynamic Optimization of Waterflooding with Smart Wells Using Optimal Control Theory. SPE J. 9 (4): 391–402. SPE-78278-PA. https://doi.org/10.2118/78278-PA.
BuKhamseen, N. Y., Al-Najem, A. A., Saffar, A. et al. 2016. Streamline Information Guided by Fuzzy Logic To Optimize Field Injection/Production Strategies. Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, Dammam, Saudi Arabia, 25–28 April. SPE-182742-MS. https://doi.org/10.2118/182742-MS.
Chan, K. S. 1995. Water Control Diagnostic Plots. Paper presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, USA, 22–25 October. SPE-30775-MS. https://doi.org/10.2118/30775-MS.
Clark, R. A., Karami, H., Al-Ajmi, M. F. et al. 2007. Pattern Balancing and Waterflood Optimization of a Super Giant: Sabiriyah Field, North Kuwait, a Case Study. Paper presented at the International Petroleum Technology Conference, Dubai, 4–6 December. IPTC-11395-MS. https://doi.org/10.2523/IPTC-11395-MS.
Cobb, W. M. 2005. Reservoir Management Under Water Injection A Worldwide Perspective. Paper presented at the 2nd National Meeting on Secondary and Assisted Oil Recovery, Malargue, Argentina, 8–9 September.
Excel is a registered trademark of Microsoft Corporation, One Microsoft Way, Redmond, Washington, USA 98052.
Hall, H. N. 1963. How To Analyze Waterflood Injection Well Performance. World Oil (October): 128–130.
IHS Harmony. 2017. Surveillance Analysis Theory, November 30, 2017, http://www.ihsenergy.ca/support/documentation_ca/Harmony/content/html_files/reference_material/analysis_method_theory/surveillance_theory.htm (accessed 1 December 2017).
Microsoft is a registered trademark of Microsoft Corporation, One Microsoft Way, Redmond, Washington, USA 98052.
Qazvini Firouz, A., Olisakwe, M., Hollinger, B. et al. 2018. Practical Reservoir Management Strategy To Optimize Waterflooded Pools with Minimum Capital Employed. Paper presented at the SPE Canada Heavy Oil Technical Conference, Calgary, Alberta, Canada, 13–14 March. SPE-189730-MS. https://doi.org/10.2118/189730-MS.
Seright, R. S., Lane, R. H., and Sydansk, R. D. 2003. A Strategy for Attacking Excess Water Production. SPE Prod & Fac 18 (3): 158–169. SPE-84966-PA. https://doi.org/10.2118/84966-PA.
Thiele, M. R. and Batycky, R. P. 2003. Water Injection Optimization Using a Streamline-Based Workflow. Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, USA, 5–8 October. SPE-84080-MS. https://doi.org/10.2118/84080-MS.
Warner, H. R. Jr. 2015. The Reservoir Engineering Aspects of Waterflooding, second edition. Richardson, Texas, USA: SPE.