印兴耀^1,2,,,
杨亚明^1,2,
李坤^1,2,
满建^1,2,
李红梅³,
冯德永³
1. 中国石油大学(华东)地球科学与技术学院, 山东青岛 266580
2. 海洋国家实验室海洋矿产资源评价与探测技术功能实验室, 山东青岛 266071
3. 中国石化胜利油田物探研究院, 山东东营 257022

基金项目: 国家科技重大专项（2017ZX05009-001），中石化科技项目（P18026）和中国博士后科学基金（2020M672170）共同资助


详细信息

作者简介: 印兴耀, 男, 1962年生, 博士, 教授, 博士生导师, 主要从事地球物理理论、方法与应用研究

通讯作者: 印兴耀, E-mail:xyyin@upc.edu.cn

中图分类号: P631

收稿日期:2020-03-03
修回日期:2020-07-21
上线日期:2020-10-05

Multitrace inversion driven by cross-correlation of seismic data

YIN XingYao^1,2,,,
YANG YaMing^1,2,
LI Kun^1,2,
MAN Jian^1,2,
LI HongMei³,
FENG DeYong³
1. School of Geosciences, China University of Petroleum, Qingdao Shandong 266580, China
2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao Shandong 266071, China
3. Shengli Geophysical Research Institute of SINOPEC, Dongying Shandong 257022, China


More Information

Corresponding author: YIN XingYao,E-mail:xyyin@upc.edu.cn

MSC: P631

--> Received Date: 03 March 2020
Revised Date: 21 July 2020
Available Online: 05 October 2020


摘要
摘要:地震反演是储层定量描述和地震油气识别的关键技术，反演结果在复杂构造区域的横向连续性和保真性是影响地震资料定量解释精度的重要因素.基于此，本文发展了地震数据互相关驱动的多道反演方法.考虑地层反射系数与地震数据在结构上具有相似性的特点，基于地震数据互相关描述地层反射系数的结构特征，并将其作为多道地震反演的横向约束条件；此外，为改善地震数据本身横向连续性差对反演结果的影响，在目标泛函的惩罚项中引入局部优化算子，构建了一个易于求解的多道地震反演目标泛函.与常规多道地震反演方法相比，本文方法能够设计更合理、更符合实际情况的横向约束算子，提高反演结果的横向连续性，并且能有效降低地震资料质量对反演结果的影响.模型测试和实际应用验证了本方法的可靠性和稳定性.
关键词: 多道反演/
横向连续性/
互相关/
结构特征/
横向约束/
局部优化

Abstract:Seismic inversion is an important technology for quantitative reservoir description and seismic oil and gas identification. The lateral continuity and fidelity of inversion results in complex geological structure are the key factors affecting the seismic quantitative interpretation. So, we have developed a multitrace inversion method which is driven by seismic cross-correlation. Reflection structural characteristics can be described by such seismic cross-correlation because of the structural similarity between the reflection coefficient and seismic data, and the structural characteristics can be used as a lateral constraint. In addition, a local optimization operator is introduced into the penalty term of the objective function to reduce the influence of poor lateral continuity of seismic data itself on inversion results. Then, we construct a computationally well-behaved objective function for multitrace seismic inversion. Compared with the conventional multitrace inversion method, the proposed approach can design a more reasonable and more realistic lateral constraint operator to improve the lateral continuity of inversion results, and effectively reduce the influence of seismic data quality on the inversion results. Finally, numerical experiments and application to field data verify the reliability and stability of the proposed method.
Key words:Multitrace inversion/
Lateral continuity/
Cross-correlation/
Structural characteristics/
Lateral constraint/
Local optimization



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