A Bayesian Integration of Volumetric and Material Balance Analyses to Quantify Uncertainty in Original Hydrocarbons in Place Academic Article uri icon

abstract

  • Copyright Taylor & Francis Group, LLC. The authors use a Bayesian formulation to integrate volumetric and material balance analyses. Specifically, they apply Bayes's rule to the Havlena and Odeh material balance equation to estimate original oil in place, N, and relative gas-cap size, m, for a gas-cap drive oil reservoir. The authors consider uncertainty and correlation in the volumetric estimates of N and m, as well as uncertainty in the pressure data. They then quantify uncertainty in the estimates of N and m resulting from the combined volumetric and material balance analyses. By combining the analyses, each reduces the uncertainty of the other, resulting in more accurate in-place estimates than from the separate analyses.

published proceedings

  • PETROLEUM SCIENCE AND TECHNOLOGY

author list (cited authors)

  • Ogele, C., Daoud, A. M., McVay, D. A., & Lee, W. J.

citation count

  • 4

complete list of authors

  • Ogele, C||Daoud, AM||McVay, DA||Lee, WJ

publication date

  • January 2012