基于差分进化算法的哈丁南油田四维辅助地震历史拟合

P. Mitchell, R. Chassagne
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引用次数: 2

摘要

4D辅助地震历史匹配技术(4D ASHM)已经成功应用于北海Harding South油田。基于成功历史的参数自适应差分进化(SHADE)算法用于最小化从观测和模拟四维地震数据中得出的目标函数。通过对观测和模拟四维差异体提取的四维属性图进行二值化,计算目标函数的定量失拟值。包括净毛比、孔隙度、渗透率和断层传播率在内的几种油藏模型参数的乘数通过15次遗传进化自动更新,每代10个个体。对每个油藏的模型参数和属性网格进行了模拟,通过生产时间计算饱和度、阻抗和合成四维地震体积。经过15次遗传进化,4D ASHM过程收敛为稳定的解决方案。目标函数达到最小值,方差较小,水库7个参数达到稳定值。提高了净总比和孔隙度,以提供更大的油体积。观测和模拟的四维地震数据之间的匹配得到了改善,与生产井的历史匹配也明显更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
4D Assisted Seismic History Matching Using a Differential Evolution Algorithm at the Harding South Field
Summary 4D Assisted Seismic History Matching (4D ASHM) has been implemented and successfully applied to the Harding South field in the North Sea. A Success-History Based Parameter Adaption Differential Evolutionary (SHADE) algorithm was used to minimise an objective function derived from the observed and simulated 4D seismic data. Quantitative misfit values for the objective function were computed by binarisation of 4D attribute maps extracted from the observed and simulated 4D difference volumes. Multipliers of several reservoir model parameters including net-to-gross ratio, porosity, permeability and fault transmissibility were automatically updated through fifteen genetic evolutions with ten individuals in each generation. Reservoir simulations were run for each individual's model parameters and the property grids used to compute saturations, impedances and synthetic 4D seismic volumes through production time. The 4D ASHM process converged to stable solutions after 15 genetic evolutions. The objective function reached a minimum value with low variance and the the seven reservoir parameters reached stable values. The net-to-gross ratio and porosity were increased to provide a larger oil volume. The match between the observed and modelled 4D seismic data improved and the history-match to the producing wells was significantly better.
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