Keywords and Phrases
Permeability Loss; Sensitivity Analysis; Two-way Coupling
"Currently reservoir simulators model geomechanical effects such as compaction, subsidence, fault reactivation, breach of the seal integrity, etc. using only the rock compressibility to change the pore volume. However, rock compressibility as a scalar quantity is unfit to represent the true rock mechanics in the reservoir. In order to accurately represent geomechanical effects in a reservoir simulation, a two-way coupling simulation of the stress analyzer and the reservoir simulator was done. Based on the poroelasticity theory during the production or depletion of the reservoir the porosity and permeability changed due to the stress or pore pressure changes.
A sensitivity analysis was carried out in order to understand how geomechanical parameters impact reservoir performance under a certain set of assumptions. In the material modeling steps elastic and plastic rocks were created for the simulation. The Mohr-Coulomb failure criterion was implemented for the yield criteria of the materials.
Sensitivity analysis study enabled us to understand why stress changes, rock deformation and rock failure occur during the depletion of the reservoir. Engineers will also be able to prevent disasters because different ranges of rock mechanics were identified as key factors in vertical displacement and stress changes in the reservoir. Overall, geomechanical parameters directly affecting reservoir performance will be identified and therefore improved due to this study"--Abstract, page iii.
Flori, Ralph E.
Geosciences and Geological and Petroleum Engineering
M.S. in Petroleum Engineering
Missouri University of Science and Technology
xii, 65 pages
© Hector Gabriel Donoso Gomez
Thesis - Open Access
Oil reservoir engineering -- Simulation methods
Oil reservoir engineering -- Mathematical models
Porous materials -- Permeability -- Mathematical models
Electronic OCLC #
Donoso, Hector Gabriel, "Sensitivity analysis of geomechanical parameters in a two-way coupling reservoir simulation" (2016). Masters Theses. 7596.