Forecasting Production in an Oil Reservoir Simulation and Its Challenges

Conference paper

DOI: 10.1007/978-3-642-33134-3_73

Cite this paper as:
Ginting V., Pereira F., Rahunanthan A. (2013) Forecasting Production in an Oil Reservoir Simulation and Its Challenges. In: Cangiani A., Davidchack R., Georgoulis E., Gorban A., Levesley J., Tretyakov M. (eds) Numerical Mathematics and Advanced Applications 2011. Springer, Berlin, Heidelberg

Abstract

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.

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of MathematicsUniversity of WyomingLaramieUSA
  2. 2.Department of Mathematics and School of Energy ResourcesUniversity of WyomingLaramieUSA