Simulation of carbonate rocks elastic properties using 3D X-ray computed tomography images based on discrete element method and finite element method

M. S. Jouini, S. Vega

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Standard analytical models that estimate effective elastic properties of porous media present some limitations in carbonate rocks. Indeed, carbonates can reveal very heterogeneous grains and pores structures produced by diagenesis at several scales. In this paper, we estimate the elastic properties of core plug samples from a Middle East carbonate reservoir using X-ray computed tomography scanner images. First, we simulate the elastic properties by solving the elasticity equation using the finite element method. Then, we use the discrete element method to investigate its ability to predict the elastic properties using a Hertzian and a Hookean contact models. Furthermore, in order to validate the numerical simulations we compared our results with experimental measures at ambient pressure. Simulations results show a relatively good agreement for samples with relatively homogeneous pore spaces distribution for both methods. However, a mismatch is revealed for the highly heterogeneous samples. Finally, we analyze and discuss both numerical simulations methods and provide possible future improvements.

Original languageBritish English
Title of host publication46th US Rock Mechanics / Geomechanics Symposium 2012
Pages1520-1529
Number of pages10
StatePublished - 2012
Event46th US Rock Mechanics / Geomechanics Symposium 2012 - Chicago, IL, United States
Duration: 24 Jun 201227 Jun 2012

Publication series

Name46th US Rock Mechanics / Geomechanics Symposium 2012
Volume3

Conference

Conference46th US Rock Mechanics / Geomechanics Symposium 2012
Country/TerritoryUnited States
CityChicago, IL
Period24/06/1227/06/12

Fingerprint

Dive into the research topics of 'Simulation of carbonate rocks elastic properties using 3D X-ray computed tomography images based on discrete element method and finite element method'. Together they form a unique fingerprint.

Cite this