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

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 acou...

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Main Authors: Zhangqing Sun, Songlin Yang, Fengjiao Zhang, Jipu Lu, Ruihu Wang, Xiyang Ou, Anguai Lei, Fuxing Han, Wenpan Cen, Da Wei, Mingchen Liu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/5/1260
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author Zhangqing Sun
Songlin Yang
Fengjiao Zhang
Jipu Lu
Ruihu Wang
Xiyang Ou
Anguai Lei
Fuxing Han
Wenpan Cen
Da Wei
Mingchen Liu
author_facet Zhangqing Sun
Songlin Yang
Fengjiao Zhang
Jipu Lu
Ruihu Wang
Xiyang Ou
Anguai Lei
Fuxing Han
Wenpan Cen
Da Wei
Mingchen Liu
author_sort Zhangqing Sun
collection DOAJ
description 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.
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spelling doaj.art-c748d59080aa49dda8abd72028ebf4cb2023-11-17T08:30:38ZengMDPI AGRemote Sensing2072-42922023-02-01155126010.3390/rs15051260A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium ReservoirZhangqing Sun0Songlin Yang1Fengjiao Zhang2Jipu Lu3Ruihu Wang4Xiyang Ou5Anguai Lei6Fuxing Han7Wenpan Cen8Da Wei9Mingchen Liu10College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaLiaohe Oilfield Company, CNPC, Panjin 124010, ChinaCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaGuangxi Bureau of Geology and Mineral Prospecting and Exploitation, Nanning 530023, ChinaGuangxi Zhuang Autonomous Region Geological Survey Institute, Nanning 530031, ChinaDaqing Geophysical Research Institute of BGP, CNPC, Daqing 163357, ChinaLiaohe Oilfield Company, CNPC, Panjin 124010, ChinaCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaGuangxi Zhuang Autonomous Region Geological Survey Institute, Nanning 530031, ChinaLiaohe Oilfield Company, CNPC, Panjin 124010, ChinaCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaAs 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.https://www.mdpi.com/2072-4292/15/5/1260reconstructed method of acoustic logging dataseismic lithological inversionsandstone type uranium deposituranium reservoirpetroliferous basins
spellingShingle Zhangqing Sun
Songlin Yang
Fengjiao Zhang
Jipu Lu
Ruihu Wang
Xiyang Ou
Anguai Lei
Fuxing Han
Wenpan Cen
Da Wei
Mingchen Liu
A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium Reservoir
Remote Sensing
reconstructed method of acoustic logging data
seismic lithological inversion
sandstone type uranium deposit
uranium reservoir
petroliferous basins
title A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium Reservoir
title_full A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium Reservoir
title_fullStr A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium Reservoir
title_full_unstemmed A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium Reservoir
title_short A Reconstructed Method of Acoustic Logging Data and Its Application in Seismic Lithological Inversion for Uranium Reservoir
title_sort reconstructed method of acoustic logging data and its application in seismic lithological inversion for uranium reservoir
topic reconstructed method of acoustic logging data
seismic lithological inversion
sandstone type uranium deposit
uranium reservoir
petroliferous basins
url https://www.mdpi.com/2072-4292/15/5/1260
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