History Matching Under Geological Constraints Coupled with Multiobjective Optimization To Optimize MWAG Performance: A Case Study in a Giant Onshore Carbonate Reservoir in the Middle East
- Saeeda AlAmeri (Heriot-Watt University) | Mohamed AlBreiki (Heriot-Watt University) | Sebastian Geiger (Heriot-Watt University)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- May 2020
- Document Type
- Journal Paper
- 534 - 550
- 2020.Society of Petroleum Engineers
- history matching, uncertainties quantification, multiobjective optimization, production forecasting
- 33 in the last 30 days
- 78 since 2007
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In this paper we demonstrate how key geological uncertainties in a giant onshore carbonate reservoir in the Middle East, most notably fracture permeability and saturation distributions, impact the quality of the history match and change the performance forecasts of a planned miscible water alternating gas (MWAG) injection process.
Different geological models for the reservoir were designed by integrating static and dynamic data. These data indicated the need to consider fault-related fractures using effective medium theory (EMT) and to update the saturation distribution by integrating special core analysis and log-derived J-functions in the reservoir model during the history matching. Afterward, multiobjective optimization (MOO) was applied for each history-matched model to identify well controls that optimally balanced the need to maximize the time on the plateau rate while adhering to the field’s gas production constraints.
Our results clearly show that including low-intensity fault-controlled fractures in the reservoir model improved the quality of the history match for the gas/oil ratio (GOR), BHP and water cut (WC). This is especially true for wells located near faults, which were difficult to match in the past. Moreover, our results further show that the updated saturation model improved the quality of the history match for the WC, and honored water saturation from the log with high accuracy, particularly for wells located in the transition zone.
Applying MOO for each history-matched model then allowed us to identify well controls for the MWAG injection that could extend the time at which the reservoir would be produced at the plateau rate for up to 11 years and the risk of losing production plateau down to 2 years, while always adhering to the current field operational constraints.
We demonstrate how the integration of MOO with an innovative workflow for fracture and saturation modeling impacts the prediction of a planned MWAG injection in a giant onshore carbonate reservoir. Our work clearly illustrates the potential of integrating MOO with new reservoir characterization methods to improve the quantification of uncertainties in reservoir performance predictions in carbonate reservoirs.
|File Size||15 MB||Number of Pages||17|
Agada, S., Geiger, S., Elsheikh, A. et al. 2017. Data-Driven Surrogates for Rapid Simulation and Optimization of WAG Injection in Fractured Carbonate Reservoirs. Pet Geosci 23 (2): 270–283. https://doi.org/10.1144/petgeo2016-068.
Al-Breiki, M., Geiger, S., Corbett, P. W. M. et al. 2019. Assessing the Uncertainty in Hydrocarbon Distributions in the Transition Zone of a Giant Carbonate Reservoir. Paper presented at the First EAGE Reservoir Characterization and Modelling Workflows for Giant Carbonate Field Developments of the Middle East. Abu Dhabi, UAE. https://doi.org/10.3997/2214-4609.201900196.
Amar, M. N., Zeraibi, N., and Redouane, K. 2018. Optimization of WAG Process Using Dynamic Proxy, Genetic Algorithm and Ant Colony Optimization. Arab J Sci Eng 43 (11): 6399–6412. https://doi.org/10.1007/s13369-018-3173-7.
Ampomah, W., Balch, R. S., Grigg, R. B. et al. 2017. Co-Optimization of CO2-EOR and Storage Processes in Mature Oil Reservoirs. Greenhouse Gases Sci Technol 7 (1): 128–142. https://doi.org/10.1002/ghg.
Bourbiaux, B., Basquet, R., Cacas, M.-C. et al. 2002. An Integrated Workflow to Account for Multi-Scale Fractures in Reservoir Simulation Models: Implementation and Benefits. Paper presented at the 10th Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE, 13–16 October. SPE-78489-MS. https://doi.org/10.2118/78489-MS.
Chen, B. and Reynolds, A. C. 2018. CO2 Water-Alternating-Gas Injection for Enhanced Oil Recovery: Optimal Well Controls and Half-Cycle Lengths. Comput Chem Eng 113: 44–56. https://doi.org/10.1016/j.compchemeng.2018.03.006.
Christensen, J. R., Stenby, E. H., and Skauge, A. 2001. Review of WAG Field Experience. SPE Res Eval & Eng 4 (2): 97–106. SPE-71203-PA. https://doi.org/10.2118/71203-PA.
Deb, K., Pratap, A., Agarwal, S. et al. 2002. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Trans. Evol Comput 6 (2): 182–197. https://doi.org/10.1109/4235.996017.
Elsheikh, A. H., Hoteit, I., and Wheeler, M. F. 2014. Efficient Bayesian Inference of Subsurface Flow Models Using Nested Sampling and Sparse Polynomial Chaos Surrogates. Comput Methods Appl Mech Eng 269: 515–537. https://doi.org/10.1016/j.cma.2013.11.001.
Freites, A., Geiger, S., and Corbett, P. 2019. Well Test-Derived Permeability in Naturally Fractured Reservoirs with Heterogeneous and Disconnected Fractures. In Conference Proceedings, 81st EAGE Conference and Exhibition, 2019, Vol. 2019, 1–5. Houten, The Netherlands: European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.201901626.
Hewson, C. W. and Leeuwenburgh, O. 2017. CO2 Water-Alternating-Gas Flooding Optimization of the Chigwell Viking I Pool in the Western Canadian Sedimentary Basin. Paper presented at the SPE Reservoir Simulation Conference, Montgomery, Texas, USA, 20–22 February. SPE-182597-MS. https://doi.org/10.2118/182597-MS.
Mohagheghian, E., James, L. A., and Haynes, R. D. 2018. Optimization of Hydrocarbon Water Alternating Gas in the Norne field: Application of Evolutionary Algorithms. Fuel 223: 86–98. https://doi.org/10.1016/j.fuel.2018.01.138.
Montaron, B. 2008. Carbonate Evolution. Oil Gas Middle East 4 (August): 26–31.
Nelson, R. A. 2001. Geologic Analysis of Naturally Fractured Reservoirs, second edition. Houston, Texas, USA: Gulf Professional Publishing.
Oda, M. 1985. Permeability Tensor for Discontinuous Rock Masses. Géotechnique 35 (4): 483–495. https://doi.org/10.1680/geot.19126.96.36.1993.
Peng, D. Y. and Robinson, D. B. 1976. A New Two-Constant Equation of State. Proc Nat Acad Sci USA 15 (1): 59–64. https://doi.org/10.1021/i160057a011.
Rui, Z., Lu, J., Zhang, Z. et al. 2017. A Quantitative Oil and Gas Reservoir Evaluation System for Development. J Nat Gas Sci Eng 42: 31–39. https://doi.org/10.1016/j.jngse.2017.02.026.
Saevik, P. N., Berre, I., Jakobsen, M. et al. 2013. A 3D Computational Study of Effective Medium Methods Applied to Fractured Media. Transp Porous Media 100 (1): 115–142. https://doi.org/10.1007/s11242-013-0208-0.
Saevik, P. N., Jakobsen, M., Lien, M. et al. 2014. Anisotropic Effective Conductivity in Fractured Rocks by Explicit Effective Medium Methods. Geophys Prospect 62 (6): 1297–1314. https://doi.org/10.1111/1365-2478.12173.
Sirat, M., Al-Dayyani, T., Singh, M. et al. 2012. Characterisation and Modeling of Fractures in Large Onshore Abu Dhabi Carbonate Field. Paper presented at the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE. SPE-162342-MS. https://doi.org/10.2118/162342-MS.
Sirat, M., Salman, S., and Bellah, S. 2007. Fracturing Mechanism and Fracture Systems Analysis of Carbonate Reservoir from Abu Dhabi—UAE. Paper presented at the SPE/EAGE Reservoir Characterization and Simulation Conference, Abu Dhabi, UAE, 28–31 October. SPE-111397-MS. https://doi.org/10.2118/111397-MS.
Torrado, R. R., De Paola, G., Perez, A. F. et al. 2015. Optimize a WAG Field Development Plan, Use Case of Carbonate Deep Water Reservoir Optimize a WAG Field Development Plan, Use Case of Carbonate. Paper presented at the EUROPEC, Madrid, Spain, 1–4 June. SPE-174344-MS. https://doi.org/10.2118/174344-MS.
Udy, J., Hansen, B., Maddux, S. et al. 2017. Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms. Processes 5 (3): 34. https://doi.org/10.3390/pr5030034.
Wong, D. 2019. Explicit—Implicit Representations of Naturally Fractured Reservoirs. PhD thesis, Heriot-Watt University, Edinburgh, Scotland, UK.
Wong, D., Doster, F., Geiger, S. et al. 2018a. Hybrid Modelling of Fractured Reservoirs Using the Effective Medium Theory. Paper presented at the 3rd EAGE Workshop on Naturally Fractured Reservoirs, Muscat, Oman, NFR10. https://doi.org/10.3997/2214-4609.201800029.
Wong, D., Geiger, S., and Kamp, A. 2018b. Systematic Hybrid Modelling Using Fracture Subset Upscaling. Paper presented at the ECMOR XVI—16th European Conference on the Mathematics of Oil Recovery, Barcelona, Spain. https://doi.org/10.3997/2214-4609.201802221.