张冰^1,,
徐嘉亮^1,,,
王维红¹,
石颖¹,
王鹏²
1. 东北石油大学地球科学学院, 大庆 163318
2. 油气资源与勘探技术教育部重点实验室(长江大学), 武汉 430100

基金项目: 国家自然科学基金(41930413，41804133，42004094，42004095)，中国石油科技创新基金(227190002)，东北石油大学培育基金(15071120510)和黑龙江省油气藏形成机理与资源评价重点实验室(11024300418)联合资助


详细信息

作者简介: 张冰, 女, 1989年生, 博士, 讲师, 主要从事储层预测和压力预测研究.E-mail: aaayin0909@126.com

通讯作者: 徐嘉亮, 男, 1985年生, 博士, 讲师, 主要从事偏移成像、速度建模和构造及属性反演研究.E-mail: 84829525@qq.com

中图分类号: P631

收稿日期:2021-05-05
修回日期:2021-06-25
上线日期:2021-08-10

Fault-surface wave enhancement technology based on maximum likelihood attributes and Laplace pyramid

ZHANG Bing^1,,
XU JiaLiang^1,,,
WANG WeiHong¹,
SHI Ying¹,
WANG Peng²
1. School of Earth sciences, Northeast Petroleum University, Daqing 163318, China
2. Key Laboratory of Exploration Technologies for Oil and Gas Resources(Yangtze University), Ministry of Education, Wuhan 430100, China


More Information

Corresponding author: XU JiaLiang,E-mail:84829525@qq.com

MSC: P631

--> Received Date: 05 May 2021
Revised Date: 25 June 2021
Available Online: 10 August 2021


摘要
摘要:针对在绕射波和回转波的干扰下，断面波识别度较低的问题，本文结合最大似然属性方法和拉普拉斯金字塔算法，提出了一种有效提高断面波识别度的方法.首先通过最大似然属性对三维数据体进行扫描，并计算数据体采样点之间的相似性，以获得工区内精确断层的位置，进而利用拉普拉斯金字塔算法进行断面波能量增强，即在构造拉普拉斯金字塔的过程中加入映射函数，使断面波能量得到增强，提高了断面波识别度.由实际工区应用证明，本文提出的方法是合理且可行的，该方法为后续确定断层位置及断层展布特征、断层平面组合关系提供依据，更好地实现断层精细解释和断裂系统的有效识别.
关键词: 断层识别/
最大似然属性/
拉普拉斯金字塔算法/
断面增强

Abstract:This work attempts to solve the problem of low illuminance of fault surface wave imaging under the interference of diffracted waves and rotary waves. Combining the maximum likelihood attribute method and the Laplace pyramid algorithm, an effective method is proposed to enhance the fault surface waves illumination. First, the 3D data volume is scanned by the maximum likelihood attribute, and the similarity between the sampling points of the data volume is calculated to determine the precise fault location in the work area. Then the Laplace pyramid algorithm is used to enhance the fault surface wave illumination, that is, in the process of constructing the Laplace pyramid, a mapping function is added to enhance the sectional fault surface waves and improve the fault surface waves illumination. The application of this method to the actual work area proves that the method proposed in this paper is reasonable and feasible. It provides a basis for the subsequent determination of the fault location, fault distribution characteristics, and fault plane combination relationship, so as to better realize the precise interpretation of faults and the effective identification of fault systems.
Key words:Fault identification/
Maximum likelihood attribute/
Laplace pyramid algorithm/
Section enhancement



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