Capillary Pressure Considerations in Numerical Reservoir Simulation Studies-Conclusion Maps

2015 ◽  
Author(s):  
M. Shams ◽  
A. H. El-Banbi ◽  
M. Khairy
Keyword(s):  
Capillary Pressure ◽  
Reservoir Simulation ◽  
Simulation Studies ◽  
Numerical Reservoir Simulation

Use of Transient Data To Calculate Absolute Permeability and Average Fluid Saturations

2010 ◽  
Vol 13 (02) ◽  
pp. 306-312 ◽  
Author(s):  
Medhat M. Kamal ◽  
Yan Pan
Keyword(s):  
Relative Permeability ◽  
Reservoir Simulation ◽  
Surface Flow ◽  
Absolute Permeability ◽  
Phase Flow ◽  
Simulation Studies ◽  
Flow Rates ◽  
Reservoir Performance ◽  
Transient Data ◽  
Relative Permeability Curves

Summary A new well-testing-analysis method is presented. The method allows for calculating the absolute permeability of the formation in the area influenced by the test and the average saturations in this area. Traditional pressure-transient-analysis methods have been developed and are completely adequate for single-phase flow in the reservoir. The proposed method is not intended for these conditions. The method applies to two-phase flow in the reservoir (oil and water or oil and gas). Future expansion to three-phase flow is possible. Current analysis methods yield only the effective permeability for the dominant flowing phase and the "total mobility" of all phases. The new method uses the surface-flow rates and fluid properties of the flowing phases and the same relative permeability relations used in characterizing the reservoir and predicting its future performance. The method has been verified by comparing the results from analyzing several synthetic tests that were produced by a numerical simulator with the input values. Use of the method with field data is also described. The new method could be applied wherever values of absolute permeability or fluid saturations are used in predicting well and reservoir performance. Probably, the major impact would be in reservoir simulation studies in which the need to transform welltesting permeability to simulator input values is eliminated and additional parameters (fluids saturations) become available to help history match the reservoir performance. This work will also help in predicting well flow rates and in situations in which absolute permeability changes with time (e.g., from compaction). Results showed that the values of absolute permeability in water/oil cases could be reproduced within 3% of the correct values and within 5% of the correct values in gas/oil cases. Errors in calculating the fluid saturations were even lower. One of the main advantages of this method is that the relative permeability curves used in calculating the absolute permeability and average saturations, and later on in numerical reservoir simulation studies, are the same, ensuring a consistent process. The proposed method does not address the question of which set of relative permeability curves should be used. This question should be answered by the engineer performing the reservoir engineering/simulation study. The proposed method mainly is meant to provide consistent results for predicting the reservoir performance using whatever relative permeability relations that are being used in the reservoir simulation model. The method does not induce any additional errors in determining the average saturation or absolute permeability over what may result from using these specific relative permeability curves in the reservoir simulation study. The impact of this study will be to expand the use of information already contained in transient data and surface flow rates of all phases. The results will provide engineers with additional parameters to improve and speed up history matching and the prediction of well and reservoir performances in just about all studies.

A Comparison Study on Algorithms in Reservoir Automatic History Matching

2012 ◽  
Vol 518-523 ◽  
pp. 4376-4379
Author(s):  
Bao Yi Jiang ◽  
Zhi Ping Li
Keyword(s):  
Objective Function ◽  
Reservoir Simulation ◽  
History Matching ◽  
Optimization Algorithms ◽  
Reservoir Engineering ◽  
Comparison Study ◽  
Automatic History Matching ◽  
Numerical Reservoir Simulation ◽  
Computational Capability ◽  
Matching Procedure

With the increase in computational capability, numerical reservoir simulation has become an essential tool for reservoir engineering. To minimize the objective function involved in the history matching procedure, we need to apply the optimization algorithms. This paper is based on the optimization algorithms used in automatic history matching.

Linear Solver Performance Optimization in Reservoir Simulation Studies

2009 ◽  
Author(s):  
Ilya D. Mishev ◽  
Bret Loneil Beckner ◽  
Serge A. Terekhov ◽  
Nelli Fedorova
Keyword(s):  
Reservoir Simulation ◽  
Performance Optimization ◽  
Simulation Studies ◽  
Linear Solver ◽  
Solver Performance

scholarly journals The Impact of Uncertain Centrifuge Capillary Pressure on Reservoir Simulation

2004 ◽  
Vol 26 (2) ◽  
pp. 537-557 ◽  
Author(s):  
Sam Subbey ◽  
Mike Christie ◽  
Malcolm Sambridge
Keyword(s):  
Capillary Pressure ◽  
Reservoir Simulation ◽  
The Impact
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