Application of Integrated Reservoir management and Reservoir Characterization to Optimize Infill Drilling

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Description

Infill drilling if wells on a uniform spacing without regard to reservoir performance and characterization foes not optimize reservoir development because it fails to account for the complex nature of reservoir heterogeneities present in many low permeability reservoirs, and carbonate reservoirs in particular. New and emerging technologies, such as geostatistical modeling, rigorous decline curve analysis, reservoir rock typing, and special core analysis can be used to develop a 3-D simulation model for prediction of infill locations.

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Pregger, B.; Davies, D.; Moore, D.; Freeman, G.; Callard, J.; Nevans, J.W. et al. August 31, 1997.

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Infill drilling if wells on a uniform spacing without regard to reservoir performance and characterization foes not optimize reservoir development because it fails to account for the complex nature of reservoir heterogeneities present in many low permeability reservoirs, and carbonate reservoirs in particular. New and emerging technologies, such as geostatistical modeling, rigorous decline curve analysis, reservoir rock typing, and special core analysis can be used to develop a 3-D simulation model for prediction of infill locations.

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  • Other: DE00001589
  • Report No.: DE-FC22-94BC14989--13
  • Grant Number: FC22-94BC14989
  • DOI: 10.2172/1589 | External Link
  • Office of Scientific & Technical Information Report Number: 1589
  • Archival Resource Key: ark:/67531/metadc627622

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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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  • August 31, 1997

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • Dec. 2, 2016, 8:14 p.m.

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Pregger, B.; Davies, D.; Moore, D.; Freeman, G.; Callard, J.; Nevans, J.W. et al. Application of Integrated Reservoir management and Reservoir Characterization to Optimize Infill Drilling, report, August 31, 1997; Morgantown, West Virginia. (digital.library.unt.edu/ark:/67531/metadc627622/: accessed November 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.