首页|Development of a method for adjusting rock compaction parameters and aquifer size from production data and its application to Nam-Su fractured basement reservoir of Vietnam

Development of a method for adjusting rock compaction parameters and aquifer size from production data and its application to Nam-Su fractured basement reservoir of Vietnam

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The Nam-Su is a major naturally fractured basement reservoir (FBR), offshore Vietnam. To date, simulation models of Nam-Su FBR have failed to give an adequate history match without invoking the presence of large aquifers. In a previous study (Son et al., 2007), the authors investigated several possible alternatives to achieve a satisfactory history match. They modeled porosity reduction by compaction along with the change of aquifer size and produced an improved history match that is consistent with the geological nature of the system. The key to such modeling is reservoir rock compressibility. Estimating the values of rock compressibility from cores is a challenge in FBR's due to the failure of coring from a naturally fractured interval, and thus reliable values are not available. We developed a computer-assisted history matching method to resolve these two problems together and save significant time compared to the manual trial-and-error methods used to adjust these parameters generally used in Vietnam. The methodology developed has been applied successfully to determine rock compaction coefficients and adjust aquifers' sizes of the Nam-Su FBR. Comparisons between our adjusted model and the existing model show considerable improvement between computed and measured values. Simulators can always be adjusted to obtain a history match even with geologically unrealistic values. The approach outlined here is more physically realistic than existing approaches and hence should provide/provides better production and other forecasts.

Aquifer sizeComputer-aided engineeringFractured basement reservoirHistory matchingPermeability anisotropyReservoir simulationRock compactionReservoir compressibilityHISTORYALGORITHMFLOW

Le Ngoc Son、Phan Ngoc Trung、Masuda, Yoshihiro、Murata, Sumihiko、Nguyen The Duc、Takagi, Sunao、Ghassemi, Ahmad

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Vietnam Oil & Gas Grp PETROVIETNAM

Univ Tokyo

Kyoto Univ

Vietnam Acad Sci & Technol VAST

Japan Oil Gas & Met Natl Corp JOGMEC

Univ Oklahoma

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2022

Journal of Petroleum Science & Engineering

Journal of Petroleum Science & Engineering

ISSN:0920-4105
年,卷(期):2022.210
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