Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin

Abstract In this paper, the analysis of faults with different scales and orientations reveals that the distribution of fractures always develops toward a higher degree of similarity with faults, and a method for calculating the multiscale areal fracture density is proposed using fault-fracture self-...

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Autores principales: Jing-Shou Liu, Wen-Long Ding, Jun-Sheng Dai, Yang Gu, Hai-Meng Yang, Bo Sun
Formato: article
Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2018
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Acceso en línea:https://doaj.org/article/569ddddb40ed4085aa5d9fc3118656cb
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spelling oai:doaj.org-article:569ddddb40ed4085aa5d9fc3118656cb2021-12-02T08:14:17ZQuantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin10.1007/s12182-018-0240-31672-51071995-8226https://doaj.org/article/569ddddb40ed4085aa5d9fc3118656cb2018-07-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-018-0240-3https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract In this paper, the analysis of faults with different scales and orientations reveals that the distribution of fractures always develops toward a higher degree of similarity with faults, and a method for calculating the multiscale areal fracture density is proposed using fault-fracture self-similarity theory. Based on the fracture parameters observed in cores and thin sections, the initial apertures of multiscale fractures are determined using the constraint method with a skewed distribution. Through calculations and statistical analyses of in situ stresses in combination with physical experiments on rocks, a numerical geomechanical model of the in situ stress field is established. The fracture opening ability under the in situ stress field is subsequently analyzed. Combining the fracture aperture data and areal fracture density at different scales, a calculation model is proposed for the prediction of multiscale and multiperiod fracture parameters, including the fracture porosity, the magnitude and direction of maximum permeability and the flow conductivity. Finally, based on the relationships among fracture aperture, density, and the relative values of fracture porosity and permeability, a fracture development pattern is determined.Jing-Shou LiuWen-Long DingJun-Sheng DaiYang GuHai-Meng YangBo SunKeAi Communications Co., Ltd.articleFault-related fractureQuantitative predictionDevelopment patternMultiscale fractureNumerical simulationJinhu SagScienceQPetrologyQE420-499ENPetroleum Science, Vol 15, Iss 3, Pp 468-483 (2018)
institution DOAJ
collection DOAJ
language EN
topic Fault-related fracture
Quantitative prediction
Development pattern
Multiscale fracture
Numerical simulation
Jinhu Sag
Science
Q
Petrology
QE420-499
spellingShingle Fault-related fracture
Quantitative prediction
Development pattern
Multiscale fracture
Numerical simulation
Jinhu Sag
Science
Q
Petrology
QE420-499
Jing-Shou Liu
Wen-Long Ding
Jun-Sheng Dai
Yang Gu
Hai-Meng Yang
Bo Sun
Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin
description Abstract In this paper, the analysis of faults with different scales and orientations reveals that the distribution of fractures always develops toward a higher degree of similarity with faults, and a method for calculating the multiscale areal fracture density is proposed using fault-fracture self-similarity theory. Based on the fracture parameters observed in cores and thin sections, the initial apertures of multiscale fractures are determined using the constraint method with a skewed distribution. Through calculations and statistical analyses of in situ stresses in combination with physical experiments on rocks, a numerical geomechanical model of the in situ stress field is established. The fracture opening ability under the in situ stress field is subsequently analyzed. Combining the fracture aperture data and areal fracture density at different scales, a calculation model is proposed for the prediction of multiscale and multiperiod fracture parameters, including the fracture porosity, the magnitude and direction of maximum permeability and the flow conductivity. Finally, based on the relationships among fracture aperture, density, and the relative values of fracture porosity and permeability, a fracture development pattern is determined.
format article
author Jing-Shou Liu
Wen-Long Ding
Jun-Sheng Dai
Yang Gu
Hai-Meng Yang
Bo Sun
author_facet Jing-Shou Liu
Wen-Long Ding
Jun-Sheng Dai
Yang Gu
Hai-Meng Yang
Bo Sun
author_sort Jing-Shou Liu
title Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin
title_short Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin
title_full Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin
title_fullStr Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin
title_full_unstemmed Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin
title_sort quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the funing formation in the jinhu sag, subei basin
publisher KeAi Communications Co., Ltd.
publishDate 2018
url https://doaj.org/article/569ddddb40ed4085aa5d9fc3118656cb
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