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      Probabilistic analysis of water-sealed performance in underground oil storage considering spatial variability of hydraulic conductivity

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          Abstract

          For underground water-sealed oil storage, the spatial variability of the surrounding rock has a significant impact on the water-sealed effect of a water curtain system. This study presents a methodology for the probabilistic analysis of water curtain performance in underground oil storage, considering the spatial variability of hydraulic conductivity of the surrounding rock based on field data. Anisotropic random fields representing the spatial variability of hydraulic conductivity were established through spatial statistical analysis of field data and introduced into the finite element model of underground oil storage for water-sealed reliability analysis. The water-sealed performance of different water curtain system schemes was studied using Monte Carlo simulation (MCS). The results showed that the difference between the horizontal spatial correlation and the vertical spatial correlation of the surrounding rock has a significant impact on the water-sealed effect of the water curtain system. An excessively large pressure of water curtain boreholes provided a small contribution to improving water curtain performance. The distance between the water curtain holes and the caverns had the less significant affecting the water-sealed reliability of the storage cavern. Finally, the optimal design of the water curtain system is discussed. This study provides valuable insights and a theoretical basis for the optimisation of water curtain system design parameters for underground water-sealed oil storage.

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          Most cited references39

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          A stochastic-conceptual analysis of one-dimensional groundwater flow in nonuniform homogeneous media

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            Spatial variability of field-measured soil-water properties

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              Stochastic Finite Elements: A Spectral Approach

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                Author and article information

                Contributors
                sc_zhb@cugb.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 August 2022
                12 August 2022
                2022
                : 12
                : 13782
                Affiliations
                [1 ]GRID grid.162107.3, ISNI 0000 0001 2156 409X, School of Engineering and Technology, , China University of Geosciences (Beijing), ; Beijing, 100083 People’s Republic of China
                [2 ]GRID grid.267550.3, ISNI 0000 0001 2298 4918, Department of Civil Engineering, , University of the District of Columbia, ; Washington, DC 20008 USA
                Article
                16960
                10.1038/s41598-022-16960-3
                9374700
                35962004
                2b0dde11-ea44-4e00-976a-4f7c608fc948
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 February 2022
                : 19 July 2022
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: No. 41972300, No. 41572301 and No. 40902086
                Funded by: Fundamental Research Funds for the Central Universities of China
                Award ID: No. 2–65–2019–225, No. 2–65–2019–226
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                energy science and technology,engineering
                Uncategorized
                energy science and technology, engineering

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