Mapping of Reservoir Properties and Facies through Integration of Static and Dynamic Data.

Reynolds, A. C. ; Oliver, D. S. ; Zhang, F. ; Dong, Y. ; Skjervheim, J. A. ; Liu, N.

Technical Information Center Oak Ridge Tennessee

关键词: Reservoir engineering;    Petroleum;    Production;    Optimization;    Permeability;   

RP-ID  :  DE2004820625

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

Knowledge of the distribution of permeability and porosity in a reservoir is necessary for the prediction of future oil production, estimation of the location of bypassed oil, and optimization of reservoir management. But while the volume of data that can potentially provide information on reservoir architecture and fluid distributions has increased enormously in the past decade, it is not yet possible to make use of all the available data in an integrated fashion. While it is relatively easy to generate plausible reservoir models that honor static data such as core, log, and seismic data, it is far more difficult to generate plausible reservoir models that honor dynamic data such as transient pressures, saturations, and flow rates. As a result, the uncertainty in reservoir properties is higher than it could be and reservoir management can not be optimized. The goal of this project is to develop computationally efficient automatic history matching techniques for generating geologically plausible reservoir models which honor both static and dynamic data.