Reservoir Fluid Properties - State of the Art and Outlook for Future Development
- Muhammad Al-Marhoun (King Fahd University of Petroleum & Minerals)
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- Society of Petroleum Engineers
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- 2002. Copyright retained by the author. This document is distributed by SPE with the permission of the author. Contact the author for permission to use any material from this documnet.
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This presentation was an SPE Distinguished Lecture during 2001-2002.
Knowledge of reservoir fluid properties is a fundamental requirement for all types of petroleum calculations such as determination of hydrocarbon flowing properties, and design of fluid handling equipment.
This presentation provides a review of the state of the art of the reservoir fluid properties and outlines the outlook for future development. The review provides an over-all look into the current status of how these properties are obtained, related shortcomings of these methods and the overlooked aspects of current fluid propertie measurements and calculations. The future development must tackle the shortcomings and address the over-looked aspects.
This lecture addresses the title subject though the discussion of the following issues:
- The reservoir process is not yet represented in our laboratory tests. Is it flash, differential, combination or something else?
- There is no direct experimental procedure to measure Bo, Pb, Pd, etc.
- The smoothing method uses only part of the data. This is clear in the Y-function.
- Laboratory reports should include the raw data to check the accuracy of the smoothed ones.
- The correction of the differential data to separator conditions does not honor the reservoir conditions.
- Oil compressibility correlation does not observe physical trend. Some oil compressibility correlations are based on wrong pressure and volume data.
- The regression methods used in obtaining correlations assume that data for the independent variables are exact while they are not.
- The fluid composition could not be explained by gross properties.
- The errors in some PVT properties calculations are not acceptable.
- Water properties are not well studied.
- Is the neural network the ultimate solution?
- The calibration of EOS is localized.
There are challenges in addressing these problems, certainly, but there are untapped scientific tools as well. The discussion will explore these challenges, examine the possible solutions and suggest a course of action.
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