自适应优化参数模拟退火的叠前地震联合反演方法  

Prestack seismic hybrid inversion based on simulated annealing algorithm with adaptive optimization parameters

作　　者：郭强 雒聪 刘红达 黄剑 GUO Qiang;LUO Cong;LIU Hongda;HUANG Jian(School of Resources and Geosciences,China University of Mining and Technology,Xuzhou,Jiangshu221116,China;School of Earth Sciences and Engineering,Hohai University,Nanjing,Jiangshu211100,China;No.1 Geological Team of Shandong Provincial Bureau Institute of Geology and Mineral Resources,Jinan,Shandong 250100,China;College of Information Engineering,China Jiliang University,Hangzhou,Zhejiang310018,China)

机构地区：[1]中国矿业大学资源与地球科学学院,江苏徐州221116 [2]河海大学地球科学与工程学院,江苏南京211100 [3]山东省第一地质矿产勘查院,山东济南250100 [4]中国计量大学信息工程学院,浙江杭州310018

出　　处：《石油地球物理勘探》2023年第3期670-679,共10页Oil Geophysical Prospecting

基　　金：国家自然科学基金项目“基于变孔隙纵横比的动态约束物性参数AVO反演方法研究”(42104128);“VTI介质反射系数精确表达式下的高精度地震反演理论与方法研究”(42004111);浙江省自然科学基金项目“基于马尔科夫随机场的自适应正则化叠前地震反演方法研究”(LQ21D040001)联合资助。

摘　　要：叠前地震反演是一种地震数据定量处理与解释的重要技术,全局优化算法是叠前地震反演中一种有效的弹性参数估算方法。作为一种主要的全局优化算法,模拟退火算法广泛用于地震数据反演,但该算法涉及的多种优化参数(如初始温度、扰动范围等)对反演结果具有重要影响。模拟退火参数优化主要是通过模型试算进行设置,但此类经验性方法易引入误差,不具备推广性。为此,提出了一种基于自适应优化参数模拟退火的叠前地震联合反演方法。首先,联合贝叶斯线性反演与模拟退火非线性反演方法,通过线性反演结果驱动后续优化参数的估算及先验模型的构建;其次,针对不同地震道的数据差异,逐道计算适用的初始温度及扰动范围,有效提升了算法的适用性及稳定性。合成数据测试及实测资料应用表明,相比常规模拟退火反演方法,该方法的弹性参数反演结果与测井数据的相关系数更高。Prestack seismic inversion is an important technique for the quantitative processing and interpretation of seismic data,and the global optimization algorithm is an effective approach in prestack seismic inversion to estimate the elastic parameters.As a main global optimization algorithm,the simulated annealing algorithm has been widely used in inverting seismic data.However,the algorithm involves multiple optimization parameters(e.g.,initial temperature,disturbance range,etc.),which have great effects on the inversion results.The parameter optimization by simulated annealing is mainly based on model trial calculation,but such an empirical method is easy to introduce errors and lacks promotion.To this end,this paper proposes a prestack seismic hybrid inversion method based on the simulated annealing algorithm with adaptive optimization parameters.Specifically,the Bayesian linear inversion and simulated-annealing nonlinear inversion are combined.The linear inversion results are used to estimate subsequent optimization parameters and construct prior models;according to the data differences of different seismic tracks,the applicable initial temperature and disturbance range are calculated track by track,which effectively improves the applicability and stability of the algorithm.The synthetic data tests and the application of measured data show that compared with those of the conventional simulated annealing inversion method,the inversion results of elastic parameters by the proposed method have a higher correlation coefficient with the logging data.

关 键 词：叠前地震反演 模拟退火算法 优化参数 自适应 弹性参数 

分 类 号：P631[天文地球—地质矿产勘探]