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Information Journal Paper

Title

PETROPHYSICAL ANALYSIS AND PREDICTION OF POROSITY FUNCTION IN ONE OF THE SOUTHWEST RESERVOIRS OF IRAN

Pages

  311-316

Abstract

 Artificial NEURAL NETWORK methods (ANN) are computational methods, which capable to predict a specific log or classify different data. Unlike the digital computers, which require the completely definite and distinguished rules, the ANN methods do not need a pure mathematical model; rather like the human brain has the ability to learn by recognized and determined examples. The target of the present paper is to establish and prove the PETRO PHYSICAL ANALYSIS as powerful approach in prediction and diagnosis of rock reservoir POROSITY by use of petro physical logs, in which by a high accuracy suggested PETRO PHYSICAL ANALYSIS based solution the POROSITY can be estimated using conventional LOGGING DATA. On the basis of the available petro physical data, the proposed method was examined in one of the southwest oil field of Iran. The obtained results of network analysis conditioning to reliability to data with different tests such as regression, root mean square and SPLine showed that the amount of network error in terms of available data in engineering range with a high acceptable safety factor could be used to predict and estimate POROSITY. This method with ability of cost reduction and viability can help and provide a large variety in this field for further extended research.

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    APA: Copy

    ABBASZADEH SHAHRI, A., HOSSEINI, R., REZAEI, F., MEHDIZADEH, K., & PANAEI, N.. (2015). PETROPHYSICAL ANALYSIS AND PREDICTION OF POROSITY FUNCTION IN ONE OF THE SOUTHWEST RESERVOIRS OF IRAN. GEOSCIENCES, 24(94 (STRATIGRAPHY & SEDIMENTOLOGY)), 311-316. SID. https://sid.ir/paper/32179/en

    Vancouver: Copy

    ABBASZADEH SHAHRI A., HOSSEINI R., REZAEI F., MEHDIZADEH K., PANAEI N.. PETROPHYSICAL ANALYSIS AND PREDICTION OF POROSITY FUNCTION IN ONE OF THE SOUTHWEST RESERVOIRS OF IRAN. GEOSCIENCES[Internet]. 2015;24(94 (STRATIGRAPHY & SEDIMENTOLOGY)):311-316. Available from: https://sid.ir/paper/32179/en

    IEEE: Copy

    A. ABBASZADEH SHAHRI, R. HOSSEINI, F. REZAEI, K. MEHDIZADEH, and N. PANAEI, “PETROPHYSICAL ANALYSIS AND PREDICTION OF POROSITY FUNCTION IN ONE OF THE SOUTHWEST RESERVOIRS OF IRAN,” GEOSCIENCES, vol. 24, no. 94 (STRATIGRAPHY & SEDIMENTOLOGY), pp. 311–316, 2015, [Online]. Available: https://sid.ir/paper/32179/en

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