Numerical Mathematics and Advanced Applications 2011

pp 693-701


Forecasting Production in an Oil Reservoir Simulation and Its Challenges

  • V. GintingAffiliated withDepartment of Mathematics, University of Wyoming Email author 
  • , F. PereiraAffiliated withDepartment of Mathematics and School of Energy Resources, University of Wyoming
  • , A. RahunanthanAffiliated withDepartment of Mathematics, University of Wyoming

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A Bayesian approach for uncertainty quantification of oil reservoir parameters in forecasting the production is straightforward in principle. However, the complexity of flow simulators and the nature of the inverse problem at hand present an ongoing practical challenges to addressing uncertainty in all subsurface parameters. In this paper, we focus on two important subsurface parameters, permeability and porosity, and discuss quantifying uncertainty in those parameters.