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重力与地震资料的模拟退火约束联合反演
引用本文:于鹏,王家林,吴健生,王大为.重力与地震资料的模拟退火约束联合反演[J].地球物理学报,2007,50(2):529-538.
作者姓名:于鹏  王家林  吴健生  王大为
作者单位:同济大学海洋地质国家重点实验室, 上海 200092
基金项目:国家高技术研究发展计划(863)“中国近海前新生代残留盆地油气勘探技术研究”(2004AA615010),国家自然科学基金(40104005)资助
摘    要:联合反演是综合地球物理研究的重要定量解释手段.本文在总结和分析重力与地震资料联合反演的研究现状基础上,利用改进的全局寻优的快速模拟退火算法,实现了重力和地震资料的约束同步联合反演.针对性地设计了密度和速度界面不完全一致的模型,理论模型的试验说明了方法的效果和适用性.结合最近完成的广东徐闻地区实际资料的处理和解释,表明该方法可准确确定复杂构造物性界面的密度和速度结构,在该地区的油气勘探中发挥了作用.在先验信息约束下,该联合反演方法要明显优于单独的重力反演.

关 键 词:重力  地震  联合反演  约束反演  模拟退火算法  
文章编号:0001-5733(2007)02-0529-10
收稿时间:2006-6-15
修稿时间:2006-06-15

Constrained joint inversion of gravity and seismic data using the simulated annealing algorithm
YU Peng,WANG Jia-Lin,WU Jian-Sheng,WANG Da-Wei.Constrained joint inversion of gravity and seismic data using the simulated annealing algorithm[J].Chinese Journal of Geophysics,2007,50(2):529-538.
Authors:YU Peng  WANG Jia-Lin  WU Jian-Sheng  WANG Da-Wei
Institution:State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092,China
Abstract:Joint inversion is an important quantitative interpretation tool for integrated geophysics. We first review and analyze the current state of the research and progresses of joint inversion using gravity and seismic data. Then, we employ the improved very fast simulated annealing algorithm (VFSA), which has obvious advantage of finding overall optimal solution in inverse problems, to perform constrained synchronous joint inversion of gravity and seismic data. This inversion uses a designed model with uncommon interface of density and velocity. Through the model test and field observed data processing and interpretation, this method is proved effective and practicable, especially the application in the Xuwen area shows that the density and velocity structures of the underground complicated interfaces could be exactly determined and revealed. With constrained known information, this joint inversion method is clearly superior to the single inversion of gravity data.
Keywords:Gravity  Seismic  Joint inversion  Constrained inversion  Simulated annealing algorithm
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