EnABLE software

This article is about software used by the oil and gas industry. For the office automation developer, see Enable Software, Inc.

ENABLE is a history matching and uncertainty assessment software designed to be used in the oil and gas industry. It optimizes plans and reduces costs by accelerating history matching process and improving reservoir understanding. ENABLE is also used to quantify production estimates under reservoir uncertainty. As oil and gas resources are increasingly recovered from reservoirs whose behavior has considerable uncertainty the need to measure the uncertainty is increasing[1] .[2] Existing reservoir simulation projects accelerate significantly and ENABLE provides assisted history matching and uncertainty forecasts.

History

ENABLE was developed by Energy Scitech Limited, a UK-based independent consultancy and software development company founded in 1999. Energy Scitech was acquired by Roxar ASA in 2006.

See also

External links

References

[3] [4] [5] [6]

  1. J.G. Hamman, R.E. Buettner, D.H. Caldwell, "A Case Study of a Fine Scale Integrated Geological, Geophysical, Petrophysical, and Reservoir Simulation Reservoir Characterization With Uncertainty Estimation", http://www.spe.org/elibrary/servlet/spepreview?id=00084274&speCommonAppContext=ELIBRARY
  2. Neil Dunlop, "Predicting Field Performance - Thriving on Uncertainty", http://www.spe.org/elibrary/servlet/spepreview?id=SPE-120497-DL&speCommonAppContext=ELIBRARY
  3. Stephen J. Webb, Jeffrey S. Bayless, and K. Neil B. Dunlop, "Enabling the “Big Loop” – Ensuring Consistency of Geological and Reservoir Simulation Models", http://aapg.confex.com/aapg/2007am/preliminaryprogram/abstract_110155.htm
  4. Jonathan Cumming and Michael Goldstein, "Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments",http://mucm.group.shef.ac.uk/Pages/Downloads/Technical%20Reports/08-09.pdf
  5. Shamsuddin H. Shenawi, Jerry P. White, Emad A. Elrafie, and Khaled A. Kilany, "Permeability and Water Saturation Distribution by Lithologic Facies and Hydraulic Units: A Reservoir Simulation Case Study",http://www.spe.org/elibrary/servlet/spepreview?id=SPE-105273-MS&speCommonAppContext=ELIBRARY
  6. Emad Elrafie, Jerry White, SPE, and Fatema Awami,"The Event Solution--A New Approach for Fully Integrated Studies Covering Uncertainty Analysis and Risk Assessment",http://www.spe.org/elibrary/servlet/spepreview?id=SPE-105276-PA&speCommonAppContext=ELIBRARY
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