Estimation and modeling of the TOC using hybrid neural network and geostatistical approaches in the one of the Iranian fields

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Sefidari E.; DASHTI A.; ZAMANZADEH S.M.; Tavakkol M.H.; YASAMI S.

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Journal: Researches in Earth Sciences Year:2018 | Volume:9 | Issue:35 Page(s): 94-109

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Title

Estimation and modeling of the TOC using hybrid neural network and geostatistical approaches in the one of the Iranian fields

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Keywords

PyrolysisQ2

GeostatisticsQ2

Neural NetworkQ2

Total Organic CarbonQ1

Abstract

The amount of the Total Organic Carbon (TOC) is one of the most important parameters in geochemical evaluation of hydrocarbon source rocksand subsequent petroleum system modeling. We proposed a three-step approach in predicting and modeling TOC content from well log data. Initially, TOC is determined in 92 core and cutting samples using Rock-Eval Pyrolysis method. In the next step, the TOC values were predicted from well log data using intelligent Neural Network applying back propagation algorithm. Correlation coefficients between the network output and target data in the training, validation and testing steps for the optimized model are 0. 9, 0. 88 and 0. 91, respectively confirming the reliability of the approach exerted in predicting TOC. Finally, geostatistical methods were used to build a 3D model of this parameter in the field scale. The proposed methodology is illustrated using a case study from the world's largest non-associated gas reservoir, the South Pars Gas Field, in the Persian Gulf basin.

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APA: Copy

Sefidari, E., DASHTI, A., ZAMANZADEH, S.M., Tavakkol, M.H., & YASAMI, S.. (2018). Estimation and modeling of the TOC using hybrid neural network and geostatistical approaches in the one of the Iranian fields. RESEARCHES IN EARTH SCIENCES, 9(35 ), 94-109. SID. https://sid.ir/paper/207375/en

Vancouver: Copy

Sefidari E., DASHTI A., ZAMANZADEH S.M., Tavakkol M.H., YASAMI S.. Estimation and modeling of the TOC using hybrid neural network and geostatistical approaches in the one of the Iranian fields. RESEARCHES IN EARTH SCIENCES[Internet]. 2018;9(35 ):94-109. Available from: https://sid.ir/paper/207375/en

IEEE: Copy

E. Sefidari, A. DASHTI, S.M. ZAMANZADEH, M.H. Tavakkol, and S. YASAMI, “Estimation and modeling of the TOC using hybrid neural network and geostatistical approaches in the one of the Iranian fields,” RESEARCHES IN EARTH SCIENCES, vol. 9, no. 35 , pp. 94–109, 2018, [Online]. Available: https://sid.ir/paper/207375/en

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