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为了更好地寻找地下复杂介质中的油气,本文针对双相介质波动方程参数的反演问题,根据介质表面理论合成的位移响应应与实际测量数据相一致的原则,引入最小二乘原理和小生境遗传算法,建立起了基于BISQ模型双相裂隙介质的小生境多参数(孔隙度、固相密度和流相密度)联合反演算法。最后,以基于BISQ模型的二维半空间双相裂隙介质模型为例,进行了数值反演分析。数值分析结果表明:本文方法对双相介质波动方程参数反演问题求解方便,且具有较强的抗“噪声”干扰性能;相对常规遗传算法,基于共享函数的小生境遗传算法不仅可以明显加快收敛速度,而且还可以有效提高反演精度。
In order to find out the oil and gas in complex underground media better, according to the principle that the displacement response synthesized by theory of medium surface should be consistent with the actual measured data, this paper introduces the least square principle and small Habitat genetic algorithm, a multi-parameter (porosity, solid-phase density and flow-density) joint inversion algorithm based on BISQ model was established. Finally, a two-dimensional half-space fracture medium model based on BISQ model is taken as an example to conduct numerical inversion analysis. The results of numerical analysis show that the method proposed in this paper is convenient for the inversion of parameter inversion of wave equation of two-phase medium and has strong anti-noise performance. Compared with conventional genetic algorithm, the niche genetic algorithm based on shared function can not only obviously Accelerate the speed of convergence, but also can effectively improve the accuracy of inversion.