巴晶,,
钱卫
河海大学地球科学与工程学院地球探测研究所, 南京 211100
基金项目: 国家自然科学基金项目（41504038），江苏省自然科学基金项目（BK20150799），江苏省双创计划，中央高校基本科研业务费专项资金项目（2017B12014），地震动力学国家重点实验室开放基金项目（LED2017B01）资助
详细信息
作者简介: 黄国娇, 女, 1987年4月生于湖北省随州市, 副教授, 主要从事地震正、反演方法及应用研究.E-mail:jiaojiao.1986520@163.com
通讯作者: 巴晶, 男, 1980年生, 博士, 河海大学教授, 主要从事孔隙介质波传播理论、岩石物理学、储层流体地震检测方法研究.E-mail:jba@hhu.edu.cn
中图分类号: P631收稿日期:2019-01-02
修回日期:2019-07-28
上线日期:2020-07-25
Simultaneous inversion for anisotropic velocity structure and microseismic location in layered TI media
HUANG GuoJiao,BA Jing,,
QIAN Wei
School of Earth Science and Engineering, Hohai University, Nanjing 211100, China
More Information
Corresponding author: BA Jing,E-mail:jba@hhu.edu.cn
MSC: P631--> Received Date: 02 January 2019
Revised Date: 28 July 2019
Available Online: 25 July 2020
摘要
摘要:微地震监测被广泛应用于非常规油气资源的水力压裂作业、油藏描绘和水驱前缘监测工程中.微地震定位采用的初始速度模型一般是基于地震测井记录和射孔数据建立，该速度模型的不准确性易引起定位误差.为降低这种定位误差，本文发展了一种微地震定位和各向异性速度结构同时反演的方法.研究对象为1-D的层状TI介质，其中对称轴方向任意.利用改进的分区多步最短路径算法计算qP、qSV和qSH波的到达时间和射线路径，结合共轭梯度法求解带约束的阻尼最小二乘问题.数值模拟结果表明，该算法能同时进行各向异性速度结构模型（每层的Thomsen参数和界面深度）和微震震源参数（空间坐标和发震时刻）的反演，并且对随机噪声不敏感，有利于实际工程应用.
关键词: 微地震定位/
同时反演/
层状TI介质/
层析成像/
各向异性
Abstract:Microseismic monitoring is widely applied in the engineering of fracturing operations, reservoir delineation and water front monitoring in unconventional oil/gas resources. Microseismic inversion generally makes use of an initial velocity model based on well logs and seismic data from perforation shots. The problem of precision in the model will cause errors in microseismic sources locating. To reduce errors, this paper has developed a method that simultaneously updates the velocity model and locates events in space and time. The 1-D layered anisotropy with a transversely-isotropic (TI) symmetry is assumed, where the symmetry axis can be arbitrarily oriented. The arrival times and ray paths of the qP, qSV and qSH waves are calculated with a modified multistage shortest-path algorithm. Combined with the conjugate gradient method, a damped, minimum-norm, least-squares and constrained problem is solved. The numerical examples show that the proposed algorithm can be used to invert the anisotropic velocity model (Thomsen parameters and interface depth for each layer) and locate the microseismic sources and their onset times, simultaneously. And it is not so sensitive to random noise, which is beneficial for the actual engineering applications.
Key words:Microseismic location/
Simultaneous inversion/
Layered TI media/
Seismic tomography/
Anisotropic
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