Extraction of reflected waves from acoustic logging data using variation mode decomposition and curvelet transform  

在线阅读下载全文

作  者:Fan-Tong Kong Yong-Xiang Liu Xi-Hao Gu Li Zhen Cheng-Ming Luo Sheng-Qing Li 

机构地区:[1]Ocean College,Jiangsu University of Science and Technology,Zhenjiang,212100,jiangsu,China [2]School of Geosciences,China University of Petroleum(East China),Qingdao,266580,Shandong.China [3]State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu,610059,Sichuan,China

出  处:《Petroleum Science》2024年第5期3142-3156,共15页石油科学(英文版)

基  金:supported by the National Natural Science Foundation of China (grant No. 42204126, 42174145, 42104132);Laoshan National Laboratory Science and Technology Innovation Project (grant No. LSKJ202203407)。

摘  要:Remote reflection waves, essential for acquiring high-resolution images of geological structures beyond boreholes, often suffer contamination from strong direct mode waves propagating along the borehole.Consequently, the extraction of weak reflected waves becomes pivotal for optimizing migration image quality. This paper introduces a novel approach to extracting reflected waves by sequentially operating in the spatial frequency and curvelet domains. Using variation mode decomposition(VMD), single-channel spatial domain signals within the common offset gather are iteratively decomposed into high-wavenumber and low-wavenumber intrinsic mode functions(IMFs). The low-wavenumber IMF is then subtracted from the overall waveform to attenuate direct mode waves. Subsequently, the curvelet transform is employed to segregate upgoing and downgoing reflected waves within the filtered curvelet domain. As a result, direct mode waves are substantially suppressed, while the integrity of reflected waves is fully preserved. The efficacy of this approach is validated through processing synthetic and field data, underscoring its potential as a robust extraction technique.

关 键 词:Borehole acoustic reflection imaging Variation mode decomposition Curvelet transform Weak signal extraction 

分 类 号:TE151[石油与天然气工程—油气勘探]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象