COMPARISON OF ADVANCED GEOLOG SOFTWARE AND ARTIFICIAL NEURAL NETWORK FOR DETERMINING POROSITY AND WATER SATURATION IN PARSI OIL FIELD

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HAMIDI H.; TADAYONI M.; NABI BIDHENDI M.

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Journal: JOURNAL OF THE EARTH Year:2009 | Volume:3 | Issue:4 Page(s): 13-24

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Title

COMPARISON OF ADVANCED GEOLOG SOFTWARE AND ARTIFICIAL NEURAL NETWORK FOR DETERMINING POROSITY AND WATER SATURATION IN PARSI OIL FIELD

Author(s)

HAMIDI H. | TADAYONI M. | NABI BIDHENDI M. | Issue Writer Certificate

Keywords

GEOLOGQ3

BACK PROPAGATION OF ERROR ARTIFICIAL NEURAL NETWORKQ3

POROSTIYQ2

WATER SATURATIONQ2

LOGQ3

ASMARIQ3

TRAININGQ2

GENERALIZATIONQ3

Abstract

In oil industry porosity and WATER SATURATION of oil reservoir rock are usually determined by Core Analysis and Well Test methods. But these methods are expensive and time consuming. Also because of lithology changes, heterogeneity of reservoir rock, and nonexistence of sufficient well cores, determination of the parameters by these usual methods are not accurate. So the best way to decrease cost, increase accuracy, and decrease time is applying advanced software such as GEOLOG and Back-Propagation of Error Artificial Neural Network (BP-ANN). In this paper, a BP-ANN is designed to predict the porosity and WATER SATURATION of formations using the well LOGs data in Parsi field, located in south-west of Iran. The data of two wells (No.33 and No.19) that have core data are used for TRAINING, testing, validation, and GENERALIZATION processes. Then the BP-ANN results are compared to evaluations obtained from GEOLOG Software (GS). With respect to the results, it is concluded that the BP-ANN is more accurate than GS in determining petro physical parameters (porosity and WATER SATURATION). At the end, WATER SATURATION and porosity are simulated in three other wells (No.48, 49, and 64) that lack core data. The BP-ANN is programmed by Matlab software.

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APA: Copy

HAMIDI, H., TADAYONI, M., & NABI BIDHENDI, M.. (2009). COMPARISON OF ADVANCED GEOLOG SOFTWARE AND ARTIFICIAL NEURAL NETWORK FOR DETERMINING POROSITY AND WATER SATURATION IN PARSI OIL FIELD. JOURNAL OF THE EARTH, 3(4), 13-24. SID. https://sid.ir/paper/192959/en

Vancouver: Copy

HAMIDI H., TADAYONI M., NABI BIDHENDI M.. COMPARISON OF ADVANCED GEOLOG SOFTWARE AND ARTIFICIAL NEURAL NETWORK FOR DETERMINING POROSITY AND WATER SATURATION IN PARSI OIL FIELD. JOURNAL OF THE EARTH[Internet]. 2009;3(4):13-24. Available from: https://sid.ir/paper/192959/en

IEEE: Copy

H. HAMIDI, M. TADAYONI, and M. NABI BIDHENDI, “COMPARISON OF ADVANCED GEOLOG SOFTWARE AND ARTIFICIAL NEURAL NETWORK FOR DETERMINING POROSITY AND WATER SATURATION IN PARSI OIL FIELD,” JOURNAL OF THE EARTH, vol. 3, no. 4, pp. 13–24, 2009, [Online]. Available: https://sid.ir/paper/192959/en

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