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Title: Simulation of pore scale porous media flow using lattice gas methods

Conference ·
OSTI ID:6027379
; ; ;  [1];  [2];  [3]
  1. Los Alamos National Lab., NM (USA)
  2. Thinking Machines Corp., Cambridge, MA (USA)
  3. Houston Univ., TX (USA). Inst. for Improved Oil Recovery Research

Carbon dioxide-foam injection is an important technique for improving the recovery of oil from porous rocks. Huh, et. al. (1989) recently presented results of two-dimensional laboratory micromodel studies conducted to better understand this process for improved oil recovery. These experimental results indicate that the introduction of CO{sub 2} foam may be expected to have a substantial effect on the relative permeability curves that would be used to model improved oil recovery in a reservoir. However, in order to determine expected changes in relative permeability a computational technique is require to quantify the experimental results, and to help determine the appropriate relative permeability curves for reservoir scale calculation. Two computational methodologies are needed to utilize the experimental information to improve reservoir simulations. First, a method is needed for quantitatively describing the phenomena observed in the micromodel geometry. Second, a method is needed to extend these effects to the different scales of heterogeneity that may be expected to exist between the laboratory and the field. This paper is focused on the first of these methods, and although it does not yet fully solve the problem of representing these fluid systems in the laboratory, it presents a promising approach to this problem. The paper briefly discusses the application of the lattice gas method for solution of the nondimensional Navier-Stokes equations for flow of fluids through the complex microscopic geometry of porous media. In particular, the approach presented herein allows the simulation not only of single fluids through the media, but of systems of two or more fluids ranging from fully miscible to completely immiscible. 11 refs., 4 figs.

Research Organization:
Los Alamos National Lab., NM (USA)
Sponsoring Organization:
USDOE; National Aeronautic and Space Administration (NASA); USDOE, Washington, DC (USA); National Aeronautics and Space Administration, Washington, DC (USA)
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
6027379
Report Number(s):
LA-UR-90-3782; CONF-910759-1; ON: DE91004829; CNN: NAGW1648
Resource Relation:
Conference: SPE/UA emerging technologies conference, Houston, TX (USA), 5-7 Jul 1991
Country of Publication:
United States
Language:
English