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An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs
It is generally difficult to predict fractures of low-permeability reservoirs under high confining pressures by data statistical method and simplified strain energy density method. In order to establish a series of geomechanical models for the prediction of multi-scale fractures in brittle tight san...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221284/ https://www.ncbi.nlm.nih.gov/pubmed/30403681 http://dx.doi.org/10.1371/journal.pone.0205958 |
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author | Feng, Jianwei Li, Li Jin, Jianli Dai, Junsheng Luo, Peng |
author_facet | Feng, Jianwei Li, Li Jin, Jianli Dai, Junsheng Luo, Peng |
author_sort | Feng, Jianwei |
collection | PubMed |
description | It is generally difficult to predict fractures of low-permeability reservoirs under high confining pressures by data statistical method and simplified strain energy density method. In order to establish a series of geomechanical models for the prediction of multi-scale fractures in brittle tight sandstones, firstly, through a series of rock mechanics experiments and CT scanning, we determined 0.85 σ(c) as the key thresholds for mass release of elastic strain energy and bursting of micro-fractures. A correlation between fracture volume density and strain energy density under uniaxial stress state was developed based on the Theory of Geomechanics. Then using the combined Mohr-Coulomb criterion and Griffith’s criterion and considering the effect of filling degree in fractures, we continued to modify and deduce the mechanical models of fracture parameters under complex stress states. Finally, all the geomechanical equations were loaded into the finite element (FE) platform to quantitatively simulate the present-day 3-D distributions of fracture density, aperture, porosity, permeability and occurrence based on paleostructure restoration of the Keshen anticline. Its predictions agreed well with in-situ core observations and formation micro-imaging (FMI) interpretations. The prediction results of permeability were basically consistent with the unobstructed flow distributions before and after the reservoir reformation. |
format | Online Article Text |
id | pubmed-6221284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62212842018-11-19 An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs Feng, Jianwei Li, Li Jin, Jianli Dai, Junsheng Luo, Peng PLoS One Research Article It is generally difficult to predict fractures of low-permeability reservoirs under high confining pressures by data statistical method and simplified strain energy density method. In order to establish a series of geomechanical models for the prediction of multi-scale fractures in brittle tight sandstones, firstly, through a series of rock mechanics experiments and CT scanning, we determined 0.85 σ(c) as the key thresholds for mass release of elastic strain energy and bursting of micro-fractures. A correlation between fracture volume density and strain energy density under uniaxial stress state was developed based on the Theory of Geomechanics. Then using the combined Mohr-Coulomb criterion and Griffith’s criterion and considering the effect of filling degree in fractures, we continued to modify and deduce the mechanical models of fracture parameters under complex stress states. Finally, all the geomechanical equations were loaded into the finite element (FE) platform to quantitatively simulate the present-day 3-D distributions of fracture density, aperture, porosity, permeability and occurrence based on paleostructure restoration of the Keshen anticline. Its predictions agreed well with in-situ core observations and formation micro-imaging (FMI) interpretations. The prediction results of permeability were basically consistent with the unobstructed flow distributions before and after the reservoir reformation. Public Library of Science 2018-11-07 /pmc/articles/PMC6221284/ /pubmed/30403681 http://dx.doi.org/10.1371/journal.pone.0205958 Text en © 2018 Feng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Feng, Jianwei Li, Li Jin, Jianli Dai, Junsheng Luo, Peng An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs |
title | An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs |
title_full | An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs |
title_fullStr | An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs |
title_full_unstemmed | An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs |
title_short | An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs |
title_sort | improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221284/ https://www.ncbi.nlm.nih.gov/pubmed/30403681 http://dx.doi.org/10.1371/journal.pone.0205958 |
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