A STREAMLINE APPROACH FOR HISTORY-MATCHING PRODUCTION DATA

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Description

This study proposes and develops a streamline approach for inferring field-scale effective permeability distributions based on dynamic production data including producer water-cut curve, well pressures, and rates. The streamline-based inverse approach simplifies the history-matching process significantly. The basic idea is to relate the water-cut curve at a producer to the water breakthrough of individual streamlines. By adjusting the effective permeability along streamlines, the breakthrough time of each streamline is found that reproduces the reference producer fractional-flow curve. Then the permeability modification along each streamline is mapped onto cells of the simulation grid. Modifying effective permeability at the streamline level greatly ... continued below

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42 pages

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Wang, Yuandong & Kovscek, Anthony R. June 1, 2001.

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Description

This study proposes and develops a streamline approach for inferring field-scale effective permeability distributions based on dynamic production data including producer water-cut curve, well pressures, and rates. The streamline-based inverse approach simplifies the history-matching process significantly. The basic idea is to relate the water-cut curve at a producer to the water breakthrough of individual streamlines. By adjusting the effective permeability along streamlines, the breakthrough time of each streamline is found that reproduces the reference producer fractional-flow curve. Then the permeability modification along each streamline is mapped onto cells of the simulation grid. Modifying effective permeability at the streamline level greatly reduces the size of the inverse problem compared to modifications at the grid-block level. The approach outlined here is relatively direct and rapid. Limitations include that the forward flow problem must be solvable with streamlines, streamline locations do not evolve radically during displacement, no new wells are included, and relatively noise-free production data is available. It works well for reservoirs where heterogeneity determines flow patterns. Example cases illustrate computational efficiency, generality, and robustness of the proposed procedure. Advantages and limitations of this work, and the scope of future study, are also discussed.

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42 pages

Notes

OSTI as DE00823161

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  • Other Information: PBD: 1 Jun 2001

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  • Report No.: NONE
  • Grant Number: FC26-00BC15311
  • DOI: 10.2172/823161 | External Link
  • Office of Scientific & Technical Information Report Number: 823161
  • Archival Resource Key: ark:/67531/metadc781839

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

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  • June 1, 2001

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • Jan. 3, 2017, 1:29 p.m.

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Wang, Yuandong & Kovscek, Anthony R. A STREAMLINE APPROACH FOR HISTORY-MATCHING PRODUCTION DATA, report, June 1, 2001; United States. (digital.library.unt.edu/ark:/67531/metadc781839/: accessed July 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.