Skip to Main Content
Skip Nav Destination
GEOREF RECORD

3D spatial characterization of sand body for uranium reservoirs based on geostatistical resistivity inversion

Sun Zhangqing, Huang Xingguo, Li Hongliang, Lei Anguai, Nuno Vieira da Silva, Han Fuxing, Cao Minqiang and Da Wei
3D spatial characterization of sand body for uranium reservoirs based on geostatistical resistivity inversion
Interpretation (Tulsa) (August 2021) 9 (3): T809-T819

Abstract

The concern over climate change and a transition away from fossil fuels has reinvigorated interest in using nuclear energy in producing electricity. Uranium is the principal fuel used in nuclear power plants, and mineral deposits containing this element are of strategic importance. The successful development of sandstone uranium deposits benefits from 3D geophysical characterization of sand bodies in uranium reservoirs. In view of this, we have evaluated a method based on 3D geostatistical resistivity inversion. First, we analyze the application of that method to the problem at hand and introduce a workflow for analyzing the data. Second, through petrophysical sensitivity analysis, we identify the logging parameters that can characterize sandstone in this context and geostatistical inversion to estimate those parameters. We then use 3D geostatistical resistivity inversion to map a sandstone uranium reservoir and find it to provide accurate results. Finally, the 3D data of inversion are applied to 3D spatial characterization of a sand body in the Sifangtai uranium reservoir inverting a field data set in the western of Songliao Basin in China. We believe this geostatistical inversion method to be useful in determining the location of drilling wells for exploration and development of sandstone uranium deposits.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 9
Serial Issue: 3
Title: 3D spatial characterization of sand body for uranium reservoirs based on geostatistical resistivity inversion
Affiliation: Jilin University, College of Geoexploration Science and Technology, Changchun, China
Pages: T809-T819
Published: 202108
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 27
Accession Number: 2021-051965
Categories: Economic geology, geology of ore deposits
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sects., chart
Secondary Affiliation: Liaohe Petroleum Exploration Bureau, CHN, ChinaChina National Petroleum Corporation, CHN, ChinaTotal E&P UK, GBR, United Kingdom
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 2021
Close Modal

or Create an Account

Close Modal
Close Modal