The development of an artificial neural network as a pressure transient analysis tool for applications in double-porosity reservoirs

SPE - Asia Pacific Oil and Gas Conference

Volumn 1, Issue , 2007, Pages 215-226

  Alajmi, M ^a   Ertekin, T ^b  

^a College of Technological Studies ^*

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL MODELS; COMPLEX NETWORKS; ENGINEERS; FRACTURE; GASOLINE; INVERSE PROBLEMS; MATRIX ALGEBRA; NEURAL NETWORKS; PETROLEUM RESERVOIRS; POLYNOMIALS; POROSITY; POROUS MATERIALS;

NATURALLY FRACTURED RESERVOIRS; POLYNOMIAL COEFFICIENTS; PRESSURE TRANSIENT; PRESSURE TRANSIENT ANALYSIS; PRESSURE TRANSIENT DATA; PRESSURE-TRANSIENT MODEL; RESERVOIR FLUID; SOLUTION COMPONENTS;

TRANSIENT ANALYSIS;

EID: 52049100150     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/108604-ms     Document Type: Conference Paper

References (7)

1. Streltsova, T., Well Testing in Heterogeneous Formations, John Wiley & Sons, Inc., New York, 1988.
2. Cinco-Ley, H., "Well-Test Analysis for Naturally Fractured Reservoirs," paper SPE 31162, 1996.
3. Warren, J., and Root, P., "The Behavior of Naturally Fractured Reservoirs," paper SPE 426, 1963.
4. De Swaan, O.A., "Analytic Solutions for Determining Naturally Fractured Reservoir Properties by Well Testing," paper SPE 5346, 1976.
5. Serra, K., Reynolds, A., and Raghavan, R., "New Pressure Transient Analysis Methods for Naturally Fractured Reservoirs," paper SPE 10780, 1983.
6. Hagan, M., Demuth, H., and Beale, M., Neural Network Design, PWS Publishing Co., Boston, 1996.
7. Demuth, H. and Beale, M., Neural Network Toolbox for Use with Matlab®, The Math Works, Inc., 1992-1998.