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作 者:孟锐 吴思远 朱圣伟 杨晓柳 赵威 祁程[1,2,3] MENG Rui;WU Siyuan;ZHU Shengwei;YANG Xiaoliu;ZHAO Wei;QI Cheng(Airborne Survey and Remote Sensing Center of Nuclear Industry,Shijiazhuang 050002,Hebei,China;CNNC Key Laboratory for Geophysical Exploration Technology Center of Uranium Resources,Shijiazhuang 050002,Hebei,China;Hebei Key Laboratory of Airborne Survey and Remote Sensing Technology,Shijiazhuang 050002,Hebei,China;Southern University of Science and Technology,Shenzhen 518055,Guangdong,China)
机构地区:[1]核工业航测遥感中心,河北石家庄050002 [2]中核集团铀资源地球物理勘查技术中心(重点实验室),河北石家庄050002 [3]河北省航空探测与遥感技术重点实验室,河北石家庄050002 [4]南方科技大学,广东深圳518055
出 处:《矿产与地质》2023年第1期128-137,共10页Mineral Resources and Geology
摘 要:利用快速标量传递算法进行了一维层状模型的地震面波频散曲线正演计算,得到了基阶频散曲线;利用传统方法对一维层状模型进行了大地电磁正演计算,得到大地电磁的视电阻率曲线数据和相位数据。利用遗传算法对合成数据分别进行了单独反演和联合反演,得到拟合差分布图来分析两种数据的兼容性并研究联合反演的可行性。通过对比单独反演和联合反演的结果,可以看出地震面波频散曲线和大地电磁数据的联合反演结果较之单方法的反演结果要更加精确,收敛速度更快,两种数据的耦合情况较好,同时联合反演能够有效地限制多解性。This paper uses the fast scalar transfer algorithm to carry out the forward calculation of the seismic surface wave dispersion curve of the one-dimensional layered model,and obtains the fundamental-order dispersion curve.The traditional method is used to perform the magnetotelluric forward calculation on the onedimensional layered model,and the apparent resistivity curve data and magnetotelluricphase data are obtained.The genetic algorithm is used to perform the separate inversion and joint inversion on the synthetic data,and the distribution map of the difference of fittingis obtained to analyze the compatibility of the two kinds of data and to study the feasibility of joint inversion.To compare the results of separate inversion and joint inversion,it is shown that the joint inversion result of seismic surface wave dispersion curve and magnetotelluric data is more accurate and has faster convergence speed than the inversion result of the single method.The coupling situation of is better for the two kinds of method data,and the joint inversion can effectively limit the ambiguity.
关 键 词:遗传算法 地震面波 大地电磁 频散曲线 联合反演 正演
分 类 号:P631.325[天文地球—地质矿产勘探] P631.414[天文地球—地质学]
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