Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Jianwei, Li, Li, Jin, Jianli, Dai, Junsheng, Luo, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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
_version_ 1783368987386576896
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
work_keys_str_mv AT fengjianwei animprovedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT lili animprovedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT jinjianli animprovedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT daijunsheng animprovedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT luopeng animprovedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT fengjianwei improvedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT lili improvedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT jinjianli improvedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT daijunsheng improvedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs
AT luopeng improvedgeomechanicalmodelforthepredictionoffracturegenerationanddistributioninbrittlereservoirs