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Mathematical modeling of microbial induced processes in oil reservoirs

Abstract

A new MEOR mobilization mechanism has been investigated; bacteria attach to the interface between the water and a capillary trapped body of oil, and reproduce. 'This results in a local reduction of the interfacial tension, which perturbs the trapped oil equilibrium, and induces a pressure drop in the body of trapped oil. This generates a pressure pulse, which may, depending on its strength, provide the necessary 'kick' for the oil to be mobilized into the pore throat by which it is trapped. A two-phase pore-scale model has been developed, which describes the basic dynamics of the MEOR mechanism, within a simplified geometrical setup. Analysis based on perturbation solutions of the model equations, has been presented. Further, a computational model has been developed, for numerical simulations of the dominating dynamics of the mechanism. It involves a new algorithm in which the novelty lies in the introduction of a necessary additional step to the conventional fractional step algorithm for numerical solutions of the unsteady, incompressible Navier-Stokes equations. The discretization methods for the model equations have been discussed. Finally, several numerical simulations for sensitivity study on the most important parameters involved, have been presented. A model for transport of Hydrogen Sulfide in oil  More>>
Authors:
Publication Date:
Jul 01, 2010
Product Type:
Book
Resource Relation:
Other Information: Thesis or Dissertation; TH: Thesis (Ph.D); refs., figs., tabs
Subject:
02 PETROLEUM; RESERVOIR ROCK; OIL FIELDS; MICROBIAL EOR; MATHEMATICAL MODELS; SIMULATION; TWO-PHASE FLOW; HYDROGEN SULFIDES; RESIDUAL PETROLEUM
OSTI ID:
1010759
Research Organizations:
Bergen Univ. (Norway)
Country of Origin:
Norway
Language:
English
Other Identifying Numbers:
Other: ISBN 978-82-308-1532-8; TRN: NO1105126
Availability:
Available through interlibrary loan from www.bibsys.no
Submitting Site:
NW
Size:
vp.
Announcement Date:
Apr 11, 2011

Citation Formats

Skjaelaaen, Inge. Mathematical modeling of microbial induced processes in oil reservoirs. Norway: N. p., 2010. Web.
Skjaelaaen, Inge. Mathematical modeling of microbial induced processes in oil reservoirs. Norway.
Skjaelaaen, Inge. 2010. "Mathematical modeling of microbial induced processes in oil reservoirs." Norway.
@misc{etde_1010759,
title = {Mathematical modeling of microbial induced processes in oil reservoirs}
author = {Skjaelaaen, Inge}
abstractNote = {A new MEOR mobilization mechanism has been investigated; bacteria attach to the interface between the water and a capillary trapped body of oil, and reproduce. 'This results in a local reduction of the interfacial tension, which perturbs the trapped oil equilibrium, and induces a pressure drop in the body of trapped oil. This generates a pressure pulse, which may, depending on its strength, provide the necessary 'kick' for the oil to be mobilized into the pore throat by which it is trapped. A two-phase pore-scale model has been developed, which describes the basic dynamics of the MEOR mechanism, within a simplified geometrical setup. Analysis based on perturbation solutions of the model equations, has been presented. Further, a computational model has been developed, for numerical simulations of the dominating dynamics of the mechanism. It involves a new algorithm in which the novelty lies in the introduction of a necessary additional step to the conventional fractional step algorithm for numerical solutions of the unsteady, incompressible Navier-Stokes equations. The discretization methods for the model equations have been discussed. Finally, several numerical simulations for sensitivity study on the most important parameters involved, have been presented. A model for transport of Hydrogen Sulfide in oil and water-saturated porous media, has been presented. Retardation mechanisms for Hydrogen Sulfide, such as mixing with residual oil and adsorption to the rock surface, are included in the model, and adsorption capacity of the rock surface is related to permeability and porosity. Various simulations are presented, in order to give insight into the qualitative nature of the model. (AG)}
place = {Norway}
year = {2010}
month = {Jul}
}