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

Author:

Sun Zhangqing1,Yang Songlin2,Zhang Fengjiao1ORCID,Lu Jipu3,Wang Ruihu4,Ou Xiyang5,Lei Anguai2,Han Fuxing1,Cen Wenpan4,Wei Da2,Liu Mingchen1

Affiliation:

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

2. Liaohe Oilfield Company, CNPC, Panjin 124010, China

3. Guangxi Bureau of Geology and Mineral Prospecting and Exploitation, Nanning 530023, China

4. Guangxi Zhuang Autonomous Region Geological Survey Institute, Nanning 530031, China

5. Daqing Geophysical Research Institute of BGP, CNPC, Daqing 163357, China

Abstract

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.

Funder

Key R&D Program of Guangxi Province

Scientific Research and Technology R&D Project of CNPC

Scientific Research and Technology R&D sub-project

National Key R&D Program of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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4. Sun, Z.Q., Liu, Y.G., Han, F.X., Zhang, F.J., Ou, X.Y., Cao, M.Q., Lei, A.G., Yang, S.L., Liu, M.C., and Gao, Z.H. (2021). Study on the 3D sedimentary characteristics of sandstone type uranium reservoir based on 3D seismic attribute. Minerals, 11.

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