An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs

PLoS One. 2018 Nov 7;13(11):e0205958. doi: 10.1371/journal.pone.0205958. eCollection 2018.

Abstract

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 σc 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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Finite Element Analysis
  • Geologic Sediments / analysis
  • Geological Phenomena*
  • Models, Theoretical*
  • Stress, Mechanical*
  • Tomography, X-Ray Computed

Grants and funding

This research was financially supported by the National Oil and Gas Major Project (2016ZX05047-003, 2016ZX05014002-006), the National Natural Science Foundation of China (41572124, 41628201, 51774317) and the Fundamental Research Funds for the Central Universities (17CX05010, 18CX02100A).