小生境遗传算法在孔隙介质反演中的应用研究

Niche genetic algorithms applied in inversion of pore media

为加快寻找地下复杂介质中的油气,针对含单相饱和流体的孔隙介质,综合了等效孔隙介质理论、Radon变换以及小生境遗传算法等,将接收信号与遗传群体相联系,引入了最小二乘原理和小生境迭代,形成了基于等效孔隙介质模型与地震CT技术的小生境多参数反演算法。理论分析与反演结果表明,该方法能够有效避开波动方程求解的复杂性,精度高、求解方便,具有一定的实用价值,能有效解决井间地层成像问题。

In order to quicken the search for oil and gas in complicated underground media, the niche multi-parameter inversion algorithm based on EMPM (equivalent model of porous media) and seismic CT is proposed for porous media full of single-phase fluid. The algorithm integrates EMPM theory, Radon transformation and niche genetic algorithm and connects received signals with genetic colony. The theoretical analysis and inversion results indicate that the method can effectively avoid sophisticated solution of wave equations. The solution is easy to derive with high accuracy and can settle the problem of strata imaging between wells.