首页> 外国专利> Method for building velocity models for pre-stack depth migration via the simultaneous joint inversion of seismic, gravity and magnetotelluric data.

Method for building velocity models for pre-stack depth migration via the simultaneous joint inversion of seismic, gravity and magnetotelluric data.

机译:通过地震,重力和大地电磁数据的同时联合反演建立叠前深度偏移速度模型的方法。

摘要

A method for quantitatively evaluating and using multiple geophysical datasets and external constraints for performing velocity model building through simultaneous Joint Inversion and finalized at the improvement of seismic depth images in particularly difficult geology and hydrocarbon high-risk exploration areas is disclosed, which involved the development of techniques: - to derive an iterative depth-domain seismic imaging workflow which allows for the simultaneous use of seismic post-migration Common Image Gather residuals together with first arrival (First Break) residuals in conjunction with gravity data and magnetotelluric data; - to include in the iterative Joint Inversion workflow the setup of external a-priori constraints as well as of external constraints weighted by probability functions; - to include in the iterative Joint Inversion workflow the probabilistic evaluation of the relationships among geophysical parameters that are distinguished into analytical, empirical and structural (i. e. pattern semblance) parameters; - to allow the user for defining variable amounts of probabilistic weights to the parameters participating to the Joint Inversion.
机译:公开了一种定量评估和使用多个地球物理数据集和外部约束条件的方法,该方法通过同时进行联合反演来完成速度模型的建立,并最终在特别困难的地质和油气高风险勘探区的地震深度图像的改进中最终确定,该方法涉及开发技术:-得出迭代的深度域地震成像工作流程,该工作流程允许同时使用地震后偏移的“共同图像采集”残差以及“初到”(First Break)残差以及重力数据和大地电磁数据; -在迭代的联合反演工作流程中包括外部先验约束以及通过概率函数加权的外部约束的设置; -在迭代的联合反演工作流程中包括对地球物理参数之间关系的概率评估,这些关系分为解析,经验和结构(即模式相似性)参数; -允许用户为参与联合反演的参数定义可变数量的概率权重。

著录项

  • 公开/公告号EP2667224A2

    专利类型

  • 公开/公告日2013-11-27

    原文格式PDF

  • 申请/专利权人 GEOSYSTEM S.R.L.;

    申请/专利号EP20130180923

  • 发明设计人 COLOMBO DANIELE;DE STEFANO MICHELE;

    申请日2006-09-04

  • 分类号G01V11;

  • 国家 EP

  • 入库时间 2022-08-21 15:47:56

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