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首页> 外文会议>SPE Asia Pacific oil and gas conference and exhibition (2004 APOGCE) >Application of Genetic Algorithm to history matching for core flooding
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Application of Genetic Algorithm to history matching for core flooding

机译：遗传算法在岩心驱替历史拟合中的应用

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Recently it has become a common practice to construct 3Drncoreflooding simulation model to interpret water displacementrnexperiments conducted under X-ray CT scanning. Thernunknown grid block parameters i.e. kro/krw and Pc curves arernrequired to be optimized to get reasonable matching withrnexperimental data such as changes of grid block waterrnsaturation. In order to evaluate the matching processrnefficiently a new automated history-matching program hasrnbeen developed. This program applies Genetic Algorithm tornoptimize several coefficients for normalized kro/krw and Pcrncurves for each litho-facies.rnSeveral blind tests were carried out on hypotheticalrncoreflooding models by changing the conditions of velocityrnand wettability to investigate the degree of accuracy andrnlimitation of the program. The result of the reproducibility ofrnthe relative permeabilities was excellent for both water-wetrnand oil-wet cases regardless the velocity of coreflooding. Onrnthe other hand, the degree of reproducibility was notrnnecessarily satisfactory for capillary pressure curves especiallyrnin high velocity case.rnSensitivity of the controlling parameter in Genetic Algorithmrnsuch as crossover rate and mutation ratio was alsorninvestigated. The suitable values are estimated, though nornsimple trend was found.rnThe program was finally applied to the interpretation of actualrnwater displacement tests on oil-wet carbonate cores. Thernprogram successfully gave a reasonable set of kro/krw and Pcrncurves for each litho-facies and demonstrated its capability ofrngrid block parameter optimization.
机译：最近，构造3Drncore洪水模拟模型来解释在X射线CT扫描下进行的水驱实验已成为一种普遍的做法。要求对未知的网格块参数（即kro / krw和Pc曲线）进行优化，以与实验数据（例如，网格块水饱和度的变化）进行合理匹配。为了有效地评估匹配过程，已经开发了新的自动历史匹配程序。该程序应用遗传算法对每个岩相的标准化kro / krw和Pcrncurves的几个系数进行优化。通过更改速度和润湿性的条件，对假设的岩心驱替模型进行了几次盲测，以研究程序的准确性和局限性。不论岩心驱油速度如何，相对渗透率的重现性结果在水湿和油湿两种情况下均表现出色。另一方面，对于毛细管压力曲线，重复性的程度并不一定令人满意，特别是在高速情况下。尽管发现了正常趋势，但仍估计了合适的值。该程序最终被用于解释油-湿碳酸盐岩心的实际水驱替试验。该程序成功地为每个岩相给出了合理的kro / krw和Pcrncurves集合，并展示了其对块参数优化的能力。

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