Data Integration for the Generation of High Resolution Reservoir Models

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Description

The goal of this three-year project was to develop a theoretical basis and practical technology for the integration of geologic, production and time-lapse seismic data in a way that makes best use of the information for reservoir description and reservoir performance predictions. The methodology and practical tools for data integration that were developed in this research project have been incorporated into computational algorithms that are feasible for large scale reservoir simulation models. As the integration of production and seismic data require calibrating geological/geostatistical models to these data sets, the main computational tool is an automatic history matching algorithm. The following ... continued below

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Reynolds, Albert; Oliver, Dean; Li, Gaoming; Zhao, Yong; Che, Chaohui; Zhang, Kai et al. January 7, 2009.

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Description

The goal of this three-year project was to develop a theoretical basis and practical technology for the integration of geologic, production and time-lapse seismic data in a way that makes best use of the information for reservoir description and reservoir performance predictions. The methodology and practical tools for data integration that were developed in this research project have been incorporated into computational algorithms that are feasible for large scale reservoir simulation models. As the integration of production and seismic data require calibrating geological/geostatistical models to these data sets, the main computational tool is an automatic history matching algorithm. The following specific goals were accomplished during this research. (1) We developed algorithms for calibrating the location of the boundaries of geologic facies and the distribution of rock properties so that production and time-lapse seismic data are honored. (2) We developed and implemented specific procedures for conditioning reservoir models to time-lapse seismic data. (3) We developed and implemented algorithms for the characterization of measurement errors which are needed to determine the relative weights of data when conditioning reservoir models to production and time-lapse seismic data by automatic history matching. (4) We developed and implemented algorithms for the adjustment of relative permeability curves during the history matching process. (5) We developed algorithms for production optimization which accounts for geological uncertainty within the context of closed-loop reservoir management. (6) To ensure the research results will lead to practical public tools for independent oil companies, as part of the project we built a graphical user interface for the reservoir simulator and history matching software using Visual Basic.

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  • Report No.: None
  • Grant Number: FC26-04NT15517
  • DOI: 10.2172/945028 | External Link
  • Office of Scientific & Technical Information Report Number: 945028
  • Archival Resource Key: ark:/67531/metadc897664

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • January 7, 2009

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

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  • Jan. 9, 2018, 12:59 p.m.

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Reynolds, Albert; Oliver, Dean; Li, Gaoming; Zhao, Yong; Che, Chaohui; Zhang, Kai et al. Data Integration for the Generation of High Resolution Reservoir Models, report, January 7, 2009; Tulsa, Oklahoma. (digital.library.unt.edu/ark:/67531/metadc897664/: accessed June 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.