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Title

DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD

Pages

  165-177

Abstract

 Porosity and PERMEABILITY are the most important hydrocarbon reservoir parameters. In the present study, intelligent soft computing NEURAL NETWORKs that nowadays are widely used in petroleum industry were are used for prediction of POROSITY and PERMEABILITY in Asmari formation the Asmari Formation. In this study MATLAB software are is used to handle NEURAL NETWORKs core and well logs data, including POROSITY and PERMEABILITY. These networks were developed by using error-back propagation algorithm within feed-forward networks. After comparing the measured and network predicted results, the parameters of the ANN (Artificial NEURAL NETWORKs) were adjusted for a desired network.Correlation obtained between core results and ANN predicted POROSITY and PERMEABILITY are 0.92 and 0.82, respectively.These results show that intelligent NEURAL NETWORK models have predicted POROSITY and PERMEABILITY successfully.Finally, the above mentioned network was generalized to the third well which had no core data.

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    APA: Copy

    AKHUNDI, H., KAMALI, M.R., KADKHODAIE, A., & RAHDARI, M.. (2009). DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD. JOURNAL OF GEOTECHNICAL GEOLOGY (APPLIED GEOLOGY), 5(3), 165-177. SID. https://sid.ir/paper/127141/en

    Vancouver: Copy

    AKHUNDI H., KAMALI M.R., KADKHODAIE A., RAHDARI M.. DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD. JOURNAL OF GEOTECHNICAL GEOLOGY (APPLIED GEOLOGY)[Internet]. 2009;5(3):165-177. Available from: https://sid.ir/paper/127141/en

    IEEE: Copy

    H. AKHUNDI, M.R. KAMALI, A. KADKHODAIE, and M. RAHDARI, “DISCRETION INTELLIGENT OF PETROPHYSICAL PARAMETERS IN THE ASMARI RESERVOIR, AHWAZ OIL FIELD,” JOURNAL OF GEOTECHNICAL GEOLOGY (APPLIED GEOLOGY), vol. 5, no. 3, pp. 165–177, 2009, [Online]. Available: https://sid.ir/paper/127141/en

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