Using 3D seismic data to predict the sweet spots in shale reservoir: A case study of Lower Silurian Longmaxi Formation in W204 block, Sichuan Basin

2017 ◽  
Author(s):  
Sheng Chen ◽  
Wenzhi Zhao ◽  
Qingcai Zeng ◽  
Qing Yang ◽  
Huaxing Hou ◽  
...  
Keyword(s):  
Seismic Data ◽  
Sichuan Basin ◽  
3D Seismic ◽  
Longmaxi Formation ◽  
Lower Silurian ◽  
Shale Reservoir ◽  
3D Seismic Data ◽  
Sweet Spots

scholarly journals Prediction of sweet spots in shale reservoir based on geophysical well logging and 3D seismic data: A case study of Lower Silurian Longmaxi Formation in W4 block, Sichuan Basin, China

2016 ◽  
Vol 35 (2) ◽  
pp. 147-171 ◽  
Author(s):  
Sheng Chen ◽  
Wenzhi Zhao ◽  
Yonglin Ouyang ◽  
Qingcai Zeng ◽  
Qing Yang ◽  
...  
Keyword(s):  
Seismic Data ◽  
Rock Physics ◽  
Gas Content ◽  
3D Seismic ◽  
Elastic Parameters ◽  
Longmaxi Formation ◽  
Shale Reservoir ◽  
3D Seismic Data ◽  
Evaluation Parameters ◽  
Sweet Spots

W4 block of Sichuan Basin is a pioneer in shale gas exploration and development in China. But geophysical prospecting is just at its beginning and thus has not provided enough information about how sweet spots distribute for the deployment of horizontal well. This paper predicted sweet spots based on logging and 3D seismic data. Well logging interpretation method was used to get the key evaluation parameters of shale reservoir and determine the distribution of sweet spots in vertical direction. Rock physics analysis technology was used to define the elastic parameters that were sensitive to the key evaluation parameters, such as TOC and gas content of shale gas reservoir. At the same time the quantitative relationships between them were established. Based on the result of seismic rock physics analysis, prestack inversion was carried out to predict the transverse plane distribution of the key evaluation parameters of shale reservoir. These research results are integrated to determine the distribution of sweet spots. The results show that sweet spots in this area were characterized by high TOC content, high gas content, high GR, high Young’s modulus, low Poisson’s ratio, low density, and low P-wave velocity. Density was the most sensitive elastic parameters to TOC of the reservoir. The optimal combination for predicting the gas content is composed of six parameters include density, Poisson’s ratio, and so on. Sweet spots in this block vertically concentrate within 30 m above the bottom of Longmaxi Formation. Two classes of sweet spots have been predicted in this area, class I sweet spots are recommended to be prioritized for development. This study effectively predicted the spatial distribution of sweet spots, which provide important guidance for the development of the area.

Predicting thin Dolomitized gas reservoirs by integrating outcrop, core, Wireline log and 3d seismic data in Permian-Triassic Sichuan basin, china

2016 ◽  
Author(s):  
Hongliu Zeng ◽  
Xavier Janson ◽  
Anjiang Shen ◽  
Zhanfeng Qiao ◽  
Jianfeng Zheng ◽  
...  
Keyword(s):  
Seismic Data ◽  
Sichuan Basin ◽  
3D Seismic ◽  
Gas Reservoirs ◽  
3D Seismic Data

Analysis of strike-slip fault zone using multiazimuth 3D seismic data: A case study on the western Offshore Bohai Bay

2012 ◽  
Author(s):  
Zhiqiang Zhang ◽  
Donghong Zhou ◽  
Liqun Jiang ◽  
Wenxu Peng ◽  
Deying Wang
Keyword(s):  
Fault Zone ◽  
Seismic Data ◽  
Strike Slip ◽  
Strike Slip Fault ◽  
Bohai Bay ◽  
3D Seismic ◽  
3D Seismic Data
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