Integrating dynamic data in reservoir models using a parallel computational approach

Sanjay Srinivasan, Steven Bryant

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Conditioning reservoir models to dynamic data is challenging due to the non-linear relationship between the measured flow response data and the model parameters (porosity, permeability etc.). The focus of this paper is to present a methodology for efficiently integrating dynamic production data into reservoir models. In contrast to other methods for production data integration, the proposed methodology attempts to quantify the information in production data pertaining to reservoir heterogeneity in a probabilistic manner. The conditional probability representing the uncertainty in permeability at a location is iteratively updated to account for the additional information contained in the dynamic response data. A localized perturbation procedure is also presented to account for multiple flow regions within the reservoir. The proposed methodology is demonstrated on a realistic case example. The methodology for implementing the proposed algorithm on parallel cpu's is presented. The computational synergies realized through domain decomposition flow simulation are likely to result in significant cpu savings.

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - SPE/DOE Symposium on Improved Oil Recovery 2004, IOR 2004
PublisherSociety of Petroleum Engineers (SPE)
Volume2004-April
ISBN (Print)9781555639884
StatePublished - Jan 1 2004
EventSPE/DOE Symposium on Improved Oil Recovery 2004, IOR 2004 - Tulsa, United States
Duration: Apr 17 2004Apr 21 2004

Other

OtherSPE/DOE Symposium on Improved Oil Recovery 2004, IOR 2004
CountryUnited States
CityTulsa
Period4/17/044/21/04

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Geotechnical Engineering and Engineering Geology

Cite this

Srinivasan, S., & Bryant, S. (2004). Integrating dynamic data in reservoir models using a parallel computational approach. In Society of Petroleum Engineers - SPE/DOE Symposium on Improved Oil Recovery 2004, IOR 2004 (Vol. 2004-April). Society of Petroleum Engineers (SPE).