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基于改进差分进化算法的大地电磁测深和重力宽范围物性约束联合反演

本站小编 Free考研考试/2022-01-03

曾志文1,2,,
陈晓1,2,,,
杨海燕2,3,
张志勇1,2,
郭一豪1,2,
刘星1,2,
叶益信1,2
1. 东华理工大学核技术应用教育部工程研究中心, 南昌 330013
2. 东华理工大学地球物理与测控技术学院, 南昌 330013
3. 中国矿业大学资源与地球科学学院, 徐州 221116

基金项目: 国家自然科学基金(42064008, 41604104, 41974086, 41774078)、安徽省公益性地质工作项目(2018-g-1-4)、江西省自然科学基金(20171BAB213031, 20181BAB203028).东华理工大学教育部核技术应用工程研究中心开放基金(HJSJYB2016-7)、东华理工大学博士科研启动基金(DHBK201403)资助


详细信息
作者简介: 曾志文, 男, 硕士研究生, 主要从事地球物理联合反演研究.E-mail:zengzwxs@hotmail.com
通讯作者: 陈晓, 男, 副教授, 研究生导师, 主要研究方向为多种地球物理数据的联合反演.E-mail:dwjhtj@hotmail.com
中图分类号: P631

收稿日期:2020-05-10
修回日期:2020-08-27
上线日期:2020-12-05



Joint inversion of magnetotelluric and gravity based on improved differential evolution algorithm and wide-range petrophysical constraints

ZENG ZhiWen1,2,,
CHEN Xiao1,2,,,
YANG HaiYan2,3,
ZHANG ZhiYong1,2,
GUO YiHao1,2,
LIU Xing1,2,
YE YiXing1,2
1. Engineering Research Center of Nuclear Technology Application, East China University of Technology, Ministry of Education, Nanchang 330013, China
2. School of Geophysics and Measurement-Control Technology, East China University of Technology, Nanchang 330013, China
3. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China


More Information
Corresponding author: CHEN Xiao,E-mail:dwjhtj@hotmail.com
MSC: P631

--> Received Date: 10 May 2020
Revised Date: 27 August 2020
Available Online: 05 December 2020


摘要
宽范围物性约束技术容易实现、具有一定容错性,目前已在大地电磁测深(MT)和地震、MT和重力联合反演中实现,但该技术是结合模拟退火算法实现的.差分进化算法(DE)是一种全局优化算法,但该算法在地球物理联合反演领域应用较少.基于此,本文以双种群设置方案为框架改进了DE算法,并提出了基于改进DE算法的宽范围物性约束技术.MT和重力联合反演的模型试验表明:与传统的DE算法相比,改进的DE算法收敛速度更快,寻优能力更强;基于改进DE算法的宽范围物性约束技术可以促进不同岩石物性参数在一定"范围"内实现耦合,既可以利用岩石物性关联的导向作用,又可以发挥优化算法的寻优能力,进而降低地球物理联合反演对先验信息的要求;此外,该技术的实现也验证了宽范围物性约束思想在联合反演领域中的适用性,具有进一步推广至其他优化算法中的潜质.
联合反演/
宽范围物性约束/
差分进化算法/
大地电磁(MT)/
重力

The wide-range petrophysical constraints technique implemented in joint inversions of magnetotelluric (MT) and seismic, MT and gravity, has advantages of easy implementation, and certain fault tolerance. However, the technique is realized based on simulated annealing algorithm. In addition, differential evolution (DE) algorithm is a global optimization algorithm while it is seldom used in geophysical joint inversions. Based on this, we improve the DE algorithm based on the two-population scheme, and propose the wide-range petrophysical constraints technology using the improved DE algorithm. Model tests of MT and gravity joint inversion show that the improved algorithm has a faster convergence speed and higher optimization capability than the traditional one. Besides, the wide-range petrophysical constraints technique using the improved DE algorithm can promote the coupling of different model parameters within a certain "range". It can develop the guiding role of rock physical property correlation, and can also exert the optimization ability of the optimization algorithm, reducing the prior information requirement for a joint inversion. Moreover, the implementation of the technique also verifies the applicability of the idea of wide range of physical constraint in the field of joint inversion, which has the potential to be further extended to other optimization algorithms.
Joint inversion/
Wide-range petrophysical constraints/
Differential evolution algorithm/
Magnetotelluric (MT)/
Gravity



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