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Geological and production uncertainty assessments of the cyclic CO<sub>2</sub>-assisted gravity drainage EOR process : a case study from South Rumaila oil field

Published
2019.
Physical Description
1 online resource
Additional Creators
Al-Mudhafar, Watheq J., Rao, Dandina N., and Srinivasan, Sanjay
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Summary
"Risk or uncertainty assessment in the reservoir flow modeling, especially in real field-scale evaluation, is essential to make a trustful decision regarding the future development plans. This paper presents an efficient uncertainty assessment workflow of geological and production data through the cyclic CO 2 -assisted gravity drainage (GAGD) process in South Rumaila oil field in Southern Iraq. First, the sequential Gaussian simulation created a large number of reservoir stochastic realizations that capture the entire geological uncertainty space. Second, ranking was applied to select the quartiles (P 10 , P 20 , … , P 90) of reservoir permeability and anisotropy ratio to quantify the geological uncertainty. Next, the equation of state-compositional flow model was constructed to evaluate these realizations by calculating the reservoir flow response. Then, 81 designed simulations were created by factorial design considering the combined realizations of permeability and anisotropy ratio. In a successive step, the most-likely model was considered for the uncertainty quantification of the operational decision parameters through the cyclic GAGD process to restrict the uncertainty space, which leads to obtain the true optimal scenario. The cyclic GAGD operational parameters include durations of injection, soaking, and production and the minimum bottom hole pressure in production wells. The compositional reservoir flow model was again used to evaluate the multiple simulations created by the proxy-based Box–Behnken design and Monte Carlo simulation. The combined geological and production uncertainty workflow gave an idea about the uncertainty or risk space of the predicted reservoir flow response in the future cyclic GAGD process performance."
Collection
Penn State Faculty and Staff Researcher Metadata Database Collection.
Note
Academic Journal Article
Part Of
Journal of Petroleum Exploration and Production Technology
9:2, pp. 1457-1474
2190-0558
View MARC record | catkey: 31199057