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基于BISQ机制的裂缝孔隙介质储层参数(孔隙度、固相密度和流相密度)全波形反演对于BISQ理论的推广应用以解决油气勘探和开发的实际问题具有重要意义.然而,庞大的计算量将限制其发展和应用.本文提出了将小生境主从式并行遗传算法与多震源混合激发采集技术相结合的方法来改善这一问题.最后,以双层的基于BISQ机制的二维裂缝孔隙介质模型为例,进行了储层参数反演的数值分析.数值反演算例结果表明:基于小生境主从式并行遗传算法和多震源混合激发采集技术的储层参数反演方法极大地提高了原小生境遗传算法储层参数反演的计算效率,为利用孔隙介质储层参数反演进行油气预测和油藏监测奠定了理论基础.
The full waveform inversion of fracture pore media reservoir parameters (porosity, solid phase density and fluid phase density) based on the BISQ mechanism is of great significance for the popularization and application of BISQ theory to solve the practical problems of oil and gas exploration and development.However, Which will limit its development and application.This paper proposes to improve the problem by combining host-slave parallel genetic algorithm with multi-source hybrid excitation acquisition technique.Finally, a two-dimensional BISQ-based two-dimensional crack The pore medium model is taken as an example and the numerical analysis of reservoir parameter inversion is carried out.The numerical inversion results show that the reservoir parameter inversion method based on the niche master-follower parallel genetic algorithm and multi-source hybrid excitation acquisition technique greatly Which improves the computational efficiency of the inversion of reservoir parameters of the proto-niche genetic algorithm and lays a theoretical foundation for the prediction of oil and gas reservoirs and the monitoring of reservoirs with the parameters inversion of the pore medium.