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Artificial Intelligence Techniques in Oil Industry

Thilak N, Gavina C G

Abstract


This documentary provides an overview of artificial intelligence advances such as artificial neural networks and support vector machines, as well as the primary areas in which they are used in the oil and gas industry. Three major applications of such systems are studied inthis paper: geological data interpretation, price forecasting, and flow regime forecasting. The application of artificial intelligence-based advances improves the efficiency of work in both exploration and production, allowing for better results at a lesser cost. At any activity of the oil production process, data mining technologies are extremely useful. Artificial intelligence technologies provide several benefits over traditional approaches, and they might be a useful gadgets for mining businesses to uplift productivity during an interval of less commodity prices.


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References


Geng, Z., Chen, G., Han, Y., & Wei, Q. Oil Reservoir Classification Based on Convolutional Neural Network. In 2018 Chinese Automation Congress (CAC) (pp. 364-368). IEEE.

Pan, H. Y., & He, H. (2010, August). Evaluation techniques for oil gas reservoir based on artificial neural networks techniques. In 2010 Third International Conference on Business Intelligence and Financial Engineering (pp. 28-31). IEEE.

Abedelrigeeb, A. G., Al-Khudafi, A. M., Baarimah, S. O., & Ba-Jaalah, K. S. (2019, December). Hybrid Artificial Intelligent Approach for Choke Size Estimation in Volatile and Black Oil Reservoirs. In 2019 First International Conference of Intelligent Computing and Engineering (ICOICE) (pp. 1-5). IEEE.

Application of AI in oil well surveillance, 2019, IEEE publications.

Zeng, C. (2011, August). The effects of fluctuation of oil prices on related industries. In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) (pp. 5911-5914). IEEE.

Fauzi, M. F. A. M., Aziz, I. A., & Amiruddin, A. (2019, November). The Prediction of Remaining Useful Life (RUL) in Oil and Gas Industry using Artificial Neural Network (ANN) Algorithm. In 2019 IEEE Conference on Big Data and Analytics (ICBDA) (pp. 7-11). IEEE.

Elder, J., & Serletis, A. (2010). Oil price uncertainty. Journal of Money, Credit and Banking, 42(6), 1137-1159.

Li, Z. (1997). Impact of rural industrialization on intra-household gender division of labor and welfare. The University of Wisconsin-Madison.

Schwab, K. (2017). The fourth industrial revolution. Currency.

McCoy, A. W., Shidel, H. R., & Trager, E. A. (1921). Investigations Concerning Oil-water Emulsion. Transactions of the AIME, 65(01), 430-458.


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