A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium Reservoir

被引:1
|
作者
Sun, Zhangqing [1 ]
Yang, Songlin [2 ]
Zhang, Fengjiao [1 ]
Lu, Jipu [3 ]
Wang, Ruihu [4 ]
Ou, Xiyang [5 ]
Lei, Anguai [2 ]
Han, Fuxing [1 ]
Cen, Wenpan [4 ]
Wei, Da [2 ]
Liu, Mingchen [1 ]
机构
[1] Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130026, Peoples R China
[2] CNPC, Liaohe Oilfield Co, Panjin 124010, Peoples R China
[3] Guangxi Bur Geol & Mineral Prospecting & Exploitat, Nanning 530023, Peoples R China
[4] Guangxi Zhuang Autonomous Reg Geol Survey Inst, Nanning 530031, Peoples R China
[5] CNPC, Daqing Geophys Res Inst BGP, Daqing 163357, Peoples R China
基金
国家重点研发计划;
关键词
reconstructed method of acoustic logging data; seismic lithological inversion; sandstone type uranium deposit; uranium reservoir; petroliferous basins; DEPOSIT; SASKATCHEWAN;
D O I
10.3390/rs15051260
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a sedimentary mineral, most sandstone type uranium deposits are formed in petroliferous basins. Therefore, we can fully tap the residual economic value of historical logging and 3D seismic data measured for oil and gas to search for sandstone type uranium deposits. However, a large amount of acoustic logging data are missing in the target stratum of the uranium reservoir in that it is not the main stratum of oil and gas. A reconstructed method of acoustic logging data based on clustering analysis and with the low-frequency compensation of deterministic inversion is proposed to solve this problem. Secondly, we can use these logging data with seismic data to obtain the 3D inversion data volume representing the sand body of the uranium reservoir based on seismic lithological inversion. Then, we can also delimit the 3D spatial range of sandstone type uranium deposits in petroliferous basins based on the calibration of uranium anomaly and sub-body detection. Finally, a 3D field data example is given to test and analyze the effectiveness of the above research schemes.
引用
收藏
页数:20
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