基于布谷鸟算法的储层物性参数同步反演  

Simultaneous inversion of petrophysical parameters of reservoir based on cuckoo search algorithm

作　　者：刘仕友 段治川 周凡 汪锐 LIU Shiyou;DUAN Zhichuan;ZHOU Fan;WANG Rui(Haikou Branch of CNOOC Limited,Haikou,Hainan 570000,China;School of Geosciences,China University of Petroleum(East China),Qingdao,Shandong 266580,China)

机构地区：[1]中海石油(中国)有限公司海南分公司,海南海口570000 [2]中国石油大学(华东)地球科学与技术学院,山东青岛266580

出　　处：《石油地球物理勘探》2022年第3期638-646,I0005,I0006,共11页Oil Geophysical Prospecting

基　　金：中海石油(中国)有限公司重大科技项目“南海西部油田上产2000万方关键技术研究”(CNOOC-KJ135ZDXM 38ZJ02ZJ)资助。

摘　　要：物性反演是储层预测与评价的重要手段,可直观描述储集层所蕴含的信息。由于地球物理反演的非线性特征,以局部寻优方法开展的储层物性参数反演方法难以降低不适定性,结果存在多解性。为此,提出一种基于布谷鸟算法的储层物性参数同步反演方法。以弹性阻抗与储层物性参数关系为基础,构建储层物性反演目标函数,引入布谷鸟算法寻找目标函数最优解。布谷鸟算法作为一种新型元启发式算法,其包含的Levy飞行机制能有效解决常规方法陷入局部极值的问题,可实现更高精度的储层物性参数预测。理论模型和实际数据测试均表明,该方法能够有效反演物性参数,可为储层描述提供数据支持。The inversion of petrophysical parameters is a significant method for reservoir prediction and evaluation,which can directly describe the abundant information contained in a reservoir.Due to the nonlinearity of geophysical inversion,it is difficult to reduce the ill-posed problems caused by this characteristic in the inversion of petrophysical parameters by local optimization,and thus the inversion results have multiple solutions.Given the above problems,this paper proposes a simultaneous inversion method based on the cuckoo search(CS)algorithm for petrophysical parameters of reservoir.On the basis of the relationship between elastic impedance and petrophysical parameters of reservoir,the inversion objective function is constructed,and the CS algorithm is introduced to find the optimal solution to the objective function.As a new meta-heuristic algorithm,the CS algorithm includes the Levy flight mechanism that can effectively solve the problems of local extreme values faced by conventional methods,and thus it can achieve high-precision prediction of petrophysical parameters of reservoir.The theoretical model and actual data test reveal that this method can effectively perform the inversion of petrophysical parameters,which can provide data support for reservoir description.

关 键 词：布谷鸟算法 全局寻优 弹性阻抗 储层物性参数 同步反演 

分 类 号：P631[天文地球—地质矿产勘探]