Iterative Integration of Dynamic Data in Reservoir Models

Tarun Kashib, Sanjay Srinivasan

Research output: Contribution to conferencePaper

4 Scopus citations

Abstract

Conditioning reservoir models to dynamic data such as historical production response is challenging because of the complexity of the relationship between the model parameters and the response variable. The focus of this paper is to present a methodology for efficiently integrating dynamic production data into reservoir models. In contrast to some of the other methods, 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. Such an improved scheme utilizes a set of locally varying deformation parameters to guide the iterative updating process in order to obtain a global history match.

Original languageEnglish (US)
Pages5459-5470
Number of pages12
StatePublished - Dec 1 2003
EventSPE Annual Technical Conference and Exhibition, Proceedings-Mile High Meeting of the Minds - Denver, CO, United States
Duration: Oct 5 2003Oct 8 2003

Other

OtherSPE Annual Technical Conference and Exhibition, Proceedings-Mile High Meeting of the Minds
CountryUnited States
CityDenver, CO
Period10/5/0310/8/03

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

Kashib, T., & Srinivasan, S. (2003). Iterative Integration of Dynamic Data in Reservoir Models. 5459-5470. Paper presented at SPE Annual Technical Conference and Exhibition, Proceedings-Mile High Meeting of the Minds, Denver, CO, United States.