Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China

In view of the problems of low signal-to-noise ratio and low resolution of seismic data in shallow-thin reservoir in Chunfeng Oilfield of Junggar Basin, stepped and detailed data processing and interpretation technologies are proposed for shallow-thin reservoir prediction. The overlapping type offse...

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Main Authors: Ningkai SHU, Xinwen WANG, Chaoguang SU, Liang SONG, Xuemin NIU, Qiang LI
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2017-08-01
Series:Petroleum Exploration and Development
Online Access:http://www.sciencedirect.com/science/article/pii/S187638041730068X
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spelling doaj-9e393354e91c4f38a1f51d7a71a4d8752021-02-02T05:49:09ZengKeAi Communications Co., Ltd.Petroleum Exploration and Development1876-38042017-08-01444595602Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW ChinaNingkai SHU0Xinwen WANG1Chaoguang SU2Liang SONG3Xuemin NIU4Qiang LI5China University of Geosciences, Beijing 100083, ChinaChina University of Geosciences, Beijing 100083, China; Corresponding authorGeophysical Research Institute, Sinopec Shengli Oilfield Company, Dongying 257022, ChinaGeophysical Research Institute, Sinopec Shengli Oilfield Company, Dongying 257022, ChinaGeophysical Research Institute, Sinopec Shengli Oilfield Company, Dongying 257022, ChinaGeophysical Research Institute, Sinopec Shengli Oilfield Company, Dongying 257022, ChinaIn view of the problems of low signal-to-noise ratio and low resolution of seismic data in shallow-thin reservoir in Chunfeng Oilfield of Junggar Basin, stepped and detailed data processing and interpretation technologies are proposed for shallow-thin reservoir prediction. The overlapping type offset packet processing technology can increase seismic fold from 8 to 16 times and increase signal to noise ratio by 1.4 times at local low noise ratio area by fine processing including frequency upgrade and de-noise imaging techniques. This study established three-level prediction techniques including pre-stack improving resolution target processing, post-stack wavelet reconstruction frequency extension, pre-stack and post-stack joint inversion, which can increase sand resolution from 12 m to 2 m and improve the identification accuracy of reservoir efficiently. The shallow-thin reservoirs after frequency extension have continuous and defined reflections, which are well coincided with actual exploration. The seismic data have well ability of preserving amplitude, and achieve good application effects. Key words: Junggar Basin, Chunfeng oilfield, Miocene Shawan Formation, reservoir prediction, wavelet reconstruction, pre-stack and post-stack joint inversionhttp://www.sciencedirect.com/science/article/pii/S187638041730068X
collection DOAJ
language English
format Article
sources DOAJ
author Ningkai SHU
Xinwen WANG
Chaoguang SU
Liang SONG
Xuemin NIU
Qiang LI
spellingShingle Ningkai SHU
Xinwen WANG
Chaoguang SU
Liang SONG
Xuemin NIU
Qiang LI
Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China
Petroleum Exploration and Development
author_facet Ningkai SHU
Xinwen WANG
Chaoguang SU
Liang SONG
Xuemin NIU
Qiang LI
author_sort Ningkai SHU
title Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China
title_short Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China
title_full Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China
title_fullStr Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China
title_full_unstemmed Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China
title_sort stepped and detailed seismic prediction of shallow-thin reservoirs in chunfeng oilfield of junggar basin, nw china
publisher KeAi Communications Co., Ltd.
series Petroleum Exploration and Development
issn 1876-3804
publishDate 2017-08-01
description In view of the problems of low signal-to-noise ratio and low resolution of seismic data in shallow-thin reservoir in Chunfeng Oilfield of Junggar Basin, stepped and detailed data processing and interpretation technologies are proposed for shallow-thin reservoir prediction. The overlapping type offset packet processing technology can increase seismic fold from 8 to 16 times and increase signal to noise ratio by 1.4 times at local low noise ratio area by fine processing including frequency upgrade and de-noise imaging techniques. This study established three-level prediction techniques including pre-stack improving resolution target processing, post-stack wavelet reconstruction frequency extension, pre-stack and post-stack joint inversion, which can increase sand resolution from 12 m to 2 m and improve the identification accuracy of reservoir efficiently. The shallow-thin reservoirs after frequency extension have continuous and defined reflections, which are well coincided with actual exploration. The seismic data have well ability of preserving amplitude, and achieve good application effects. Key words: Junggar Basin, Chunfeng oilfield, Miocene Shawan Formation, reservoir prediction, wavelet reconstruction, pre-stack and post-stack joint inversion
url http://www.sciencedirect.com/science/article/pii/S187638041730068X
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