Bubble Pressure Prediction of Reservoir Fluids using Artificial Neural Network and Support Vector Machine

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Dehghani Kiadehi Afshin; Mehdizadeh Bahman; MOVAGHARNEJAD KAMYAR

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Journal Paper

Paper Information

Journal: Journal of Chemical and Petroleum Engineering Year:2019 | Volume:53 | Issue:2 Page(s): 177-189

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Title

Bubble Pressure Prediction of Reservoir Fluids using Artificial Neural Network and Support Vector Machine

Author(s)

Dehghani Kiadehi Afshin | Mehdizadeh Bahman | MOVAGHARNEJAD KAMYAR | Issue Writer Certificate

Keywords

Artificial Neural Network

Bubble Pressure

Empirical Correlations

Genetic Algorithm

Reservoir Fluids

Support Vector Machine

Abstract

Bubble point pressure is an important parameter in equilibrium calculations of Reservoir Fluids and having other applications in reservoir engineering. In this work, an Artificial Neural Network (ANN) and a least square Support Vector Machine (LS-SVM) have been used to predict the bubble point pressure of Reservoir Fluids. Also, the accuracy of the models have been compared to two-equation state-based models, i. e. SRK-EOS and PR-EOS and four empirical equations, i. e. Whitson, Standing, Wilson and Ghafoori et al. Compared to the experimental data, the average relative deviations (ARD) of Bubble Pressure prediction for these equations were obtained to be 14%, 29%, 66%, 30%, 38%, and 11%, respectively. The best semi-empirical equation has an ARD of about 11% while, the ANN and LS-SVM models have an ARD of 8% and 4. 68%, respectively. Thus, it can be concluded that generally, these soft computing models appear to be more accurate than the empirical and EOS based methods for prediction of bubble point pressure of Reservoir Fluids.

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APA: Copy

Dehghani Kiadehi, Afshin, Mehdizadeh, Bahman, & MOVAGHARNEJAD, KAMYAR. (2019). Bubble Pressure Prediction of Reservoir Fluids using Artificial Neural Network and Support Vector Machine. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), 53(2), 177-189. SID. https://sid.ir/paper/742217/en

Vancouver: Copy

Dehghani Kiadehi Afshin, Mehdizadeh Bahman, MOVAGHARNEJAD KAMYAR. Bubble Pressure Prediction of Reservoir Fluids using Artificial Neural Network and Support Vector Machine. JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING)[Internet]. 2019;53(2):177-189. Available from: https://sid.ir/paper/742217/en

IEEE: Copy

Afshin Dehghani Kiadehi, Bahman Mehdizadeh, and KAMYAR MOVAGHARNEJAD, “Bubble Pressure Prediction of Reservoir Fluids using Artificial Neural Network and Support Vector Machine,” JOURNAL OF CHEMICAL AND PETROLEUM ENGINEERING (JOURNAL OF FACULTY OF ENGINEERING), vol. 53, no. 2, pp. 177–189, 2019, [Online]. Available: https://sid.ir/paper/742217/en

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