中文摘要：

根据岩石物理理论,使用相关岩石物理模型分别计算岩石基质、干燥岩石骨架以及饱和岩石的弹性模量,进而计算碳酸盐岩储层的横波速度。基于碳酸盐岩孔隙的形状和连通性,将孔隙划分为孔洞、粒间孔隙、裂隙及泥质孔隙四种类型,对应地分别计算各类孔隙的纵横比和孔隙度,确定碳酸盐岩储层孔隙微结构参数。提出基于自适应遗传算法的矿物组分弹性模量计算方法,使用实测纵波速度作为约束条件反演求取岩石矿物组分的体积模量和剪切模量,确定碳酸盐岩储层的岩性参数。将该横波速度计算方法用于实际研究区的测井资料,取得了较好的效果,证明了方法的有效性,为复杂碳酸盐岩储层预测提供了有利的帮助。

英文摘要：

Based on rock physics theory, the elastic modulus of rock matrix, rock frame and the velocities of saturated car- bonate rocks were calculated. Considering pore shape and connectivity, pores of carbonate rocks were divided into four types ： vugs, interparticle pores, cracks and shale pores. The aspect ratio and porosity of each pore type were calculated. An inver- sion method based on adaptive genetic algorithm was proposed. The bulk and shear modulus of mineral components were in- versed using measured P-wave velocities as a constraint. Based on this description of mineral compositions and pore micro- structure, S-wave velocities were calculated using Patchy saturation model. The S-wave velocity estimation method was ap- plied to actual logging data, and the favorable results were obtained. The method can provide benefit for complex carbonate reservoir prediction.