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大地电磁与地震资料仿真退火约束联合反演
引用本文:杨辉,王家林,吴健生,于鹏,王小牧.大地电磁与地震资料仿真退火约束联合反演[J].地球物理学报,2002,45(5):723-734.
作者姓名:杨辉  王家林  吴健生  于鹏  王小牧
作者单位:1. 同济大学教育部海洋地质重点实验室,上海,200092; 2. 石油大学资源与信息学院,北京,102200; 3. 石油地球物理勘探局,河北涿州,072751
基金项目:“95”国家自然科学基金项目 ( 49894 1904 0 10 4 0 0 5)
摘    要:在对仿真退火算法研究的基础上,将非常快速仿真退火的连续模型空间改为可变的离散化形式,理论模型试算表明,使用本文方法可提高工作效率5-10倍. 为适应联合反演的需要, 对非常快速仿真退火的误差"单判断"检验准则改为误差"双判断"检验准则,避免Metrop olis接受准则的判断失误. 在此基础上,实现了一维及二维起伏地形条件下大地电磁与地震资料多参量信息的联合反演. 理论模型的试算及实例说明了约束联合反演的有效性.

关 键 词:大地电磁测深  地震  仿真退火  约束反演  联合反演  
文章编号:0001-5733(2002)05-0723-12
收稿时间:2001-07-27

CONSTRAINED JOINT INVERSION OF MAGNETOTELLURIC AND SEISMIC DATA USING SIMULATED ANNEALING ALGORITHM
YANG HUI , \ WANG JIA LIN \ WU JIAN SHENG YU PENG \ WANG XIAO MU Laboratory of Marine Geology,MOE,Tongji University,Shanghai ,China University of Petroleum,Beijing ,China Bureau of Oil.CONSTRAINED JOINT INVERSION OF MAGNETOTELLURIC AND SEISMIC DATA USING SIMULATED ANNEALING ALGORITHM[J].Chinese Journal of Geophysics,2002,45(5):723-734.
Authors:YANG HUI  \ WANG JIA LIN \ WU JIAN SHENG YU PENG \ WANG XIAO MU Laboratory of Marine Geology  MOE  Tongji University  Shanghai  China University of Petroleum  Beijing  China Bureau of Oil
Institution:1. Laboratory of Marine Geology, MOE, Tongji University, Shanghai 200092, China; 2. University of Petroleum, Beijing 102200, China; 3. Bureau of Oil Geophysical Prospecting, CNPC, Zhuozhou 072751, China
Abstract:In this paper the continuous model space of the very fast simulated annealing was transformed to a variable discrete. It can be proved by theoretical models that 5 to 10 times calculation workload can be saved. In order to fit the needs of joint inversion, the 'single judge' rule in the error checking of the very fast simulated annealing algorithm was developed to the 'double judge' rule to avoid the judge mistakes made by Metropolis accepting rule. One dimensional and two dimensional multi parameters joint inversion of magnetotelluric and seismic data were put forward under the uneven topography conditions. The example calculation results of the theoretical models and real observed data illustrated that this constraint joint inversion technique was quite effective.
Keywords:Magnetotelluric sounding  Seismic  Simulated annealing algorithm  Constrained inversion  Joint inverion  
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