COMPARISON OF ARTIFICIAL NEURAL NETWORK, ΔLOGR AND CLUSTER ANALYSIS FOR THE ASSESSMENT OF ORGANIC CARBON IN HYDROCARBON-BEARING FORMATIONS

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GHOLIPOUR S.; KADKHODAIE A.; MAKKIPOUR M.; ABADI CHALAKSARAEE A.R.

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Journal: GEOSCIENCES Year:2016 | Volume:25 | Issue:98 Page(s): 147-158

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Title

COMPARISON OF ARTIFICIAL NEURAL NETWORK, ΔLOGR AND CLUSTER ANALYSIS FOR THE ASSESSMENT OF ORGANIC CARBON IN HYDROCARBON-BEARING FORMATIONS

Author(s)

GHOLIPOUR S. | KADKHODAIE A. | MAKKIPOUR M. | ABADI CHALAKSARAEE A.R. | Issue Writer Certificate

Keywords

TOTAL ORGANIC CARBONQ2

ARTIFICIAL NEURAL NETWORKQ2

CLUSTER ANALYSISQ2

ΔLOGRQ2

PETRO PHYSICAL DATAQ2

Abstract

TOTAL ORGANIC CARBON content is one of the important parameters to evaluate the geochemical properties of oil- and gas-producing layers. In this study, TOTAL ORGANIC CARBON content in the hydrocarbon-bearing formations was evaluated using log data in three stages. In the first stage, we used ARTIFICIAL NEURAL NETWORK to calculate the organic carbon content. In the second stage, TOTAL ORGANIC CARBON was calculated by using DLogR computational method. Finally in the last stage, well log data were classified into a set of electrofacies, which were performed using the most efficient clustering analysis method, i.e. MRGC method. Based on cluster validity tests, this method is the best to cluster PETRO PHYSICAL DATA in certain electrofacies. CLUSTER ANALYSIS was employed for classification of data from both neural network and DLogR methods. The results showed that intelligent systems are more appropriate than traditional techniques which are based on DLogR approaches, and also have higher accuracy. The proposed method has been presented with a case study from the Azadegan oilfield.

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APA: Copy

GHOLIPOUR, S., KADKHODAIE, A., MAKKIPOUR, M., & ABADI CHALAKSARAEE, A.R.. (2016). COMPARISON OF ARTIFICIAL NEURAL NETWORK, ΔLOGR AND CLUSTER ANALYSIS FOR THE ASSESSMENT OF ORGANIC CARBON IN HYDROCARBON-BEARING FORMATIONS. GEOSCIENCES, 25(98), 147-158. SID. https://sid.ir/paper/32238/en

Vancouver: Copy

GHOLIPOUR S., KADKHODAIE A., MAKKIPOUR M., ABADI CHALAKSARAEE A.R.. COMPARISON OF ARTIFICIAL NEURAL NETWORK, ΔLOGR AND CLUSTER ANALYSIS FOR THE ASSESSMENT OF ORGANIC CARBON IN HYDROCARBON-BEARING FORMATIONS. GEOSCIENCES[Internet]. 2016;25(98):147-158. Available from: https://sid.ir/paper/32238/en

IEEE: Copy

S. GHOLIPOUR, A. KADKHODAIE, M. MAKKIPOUR, and A.R. ABADI CHALAKSARAEE, “COMPARISON OF ARTIFICIAL NEURAL NETWORK, ΔLOGR AND CLUSTER ANALYSIS FOR THE ASSESSMENT OF ORGANIC CARBON IN HYDROCARBON-BEARING FORMATIONS,” GEOSCIENCES, vol. 25, no. 98, pp. 147–158, 2016, [Online]. Available: https://sid.ir/paper/32238/en

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