一种基于角度域傅里叶变换的逆时偏移生成角道集方法
A method of generating angle gathers by reverse time migration based on angle domain Fourier transform
孙文博 1叶云飞 1王建花 1李飞鹏 2张洪亮 1魏衍雯1
作者信息
- 1. 中海油研究总院有限责任公司 北京 100028;海洋油气勘探国家工程研究中心 北京 100028
- 2. 西安交通大学信息与通信工程学院 陕西西安 710018
- 折叠
摘要
复杂地质构造条件下,介质横向非均匀强,地震波场存在严重交叠,常规方法难以准确识别不同波场分量的传播方向,影响角道集的提取效果.为了克服该问题,提出一种通过上、下行波场分离,同时利用角度域窗口傅里叶变换进行交叠波场分离获得每一个角度的切片,再应用Poynting矢量法计算对应波场分量传播方向的角道集生成方法.该方法无需划分空间窗口,具有较高的计算效率.通过数值模型验证了该方法提取角道集的有效性,相比常规的Poynting矢量法提取结果,地震波的振幅更加保真,信噪比更高.将该方法应用于海上实际资料,获得了理想的角道集数据,为地震属性分析、储层反演提供了高质量的叠前道集.
Abstract
The lateral heterogeneity of media is strong in complex geological conditions,and there exists severe overlap in seismic wave fields.Conventional methods are difficult to accurately identify the propagation direction of different wave-field components,thus af-fecting the extraction effect of angle gathers.To overcome this defect,a method based on upgoing-and-downgoing-wave separation has been proposed to generate angle gathers has been proposed,in which the angle-domain window Fourier transform is used to sepa-rate overlapping wave fields,and the Poynting vector method is then applied to each angle slice obtained from the decomposition to calculate the propagation direction of the corresponding wave field component.The new method does not require spatial-window par-titioning and has relatively high computational efficiency.Angle gathers extracted by this method have been validated through numer-ical models.Compared with conventional Poynting vector method,the new method yields more realistic amplitude and higher signal-to-noise ratio.In the application example of offshore seismic data,ideal angular gathers were obtained,providing high-quality pre-stack gathers for seismic attribute analysis and reservoir inversion.
关键词
逆时偏移/角道集/波场方向分解/角度域窗口傅里叶变换/波传播方向Key words
reverse time migration/angle gather/wave field direction decomposition/Fourier transform in angle domain window/wave propagation direction引用本文复制引用
基金项目
国家自然科学基金企业创新发展联合基金项目(U19B2008)
中国海洋石油集团有限公司科研课题项目(2021-KT-YXKY-04)
中国海洋石油集团有限公司科研课题项目(CNO-OC-KJ GJHXJSGG YF 2022-01)
出版年
2024
NETL
NSTL
万方数据