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Keywords: artificial neural network
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215260-MS
... is applied to model the optimal recovery practice. Extreme Gradient Boosting (XGBoost) algorithm is utilized and found as a best-fit model for this Kuwaiti reservoir case practice. Moreover, decision tree and Artificial Neural Network (ANN) models could provide acceptable accuracy. Other supervised learning...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202297-MS
.... training Set (80%), and test Set (20%) with feature scaling implemented. The most intuitive classification model among all the tested classification algorithms i.e. multiple classification algorithm, artificial neural network, and KNN search method is stated based on their individual F (1) score...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202326-MS
... hook-load value drilling measurement drilling fluids and materials annular pressure drilling elkatatny data quality gharbi application stuckpipe dataset mechanism objective crisp-dm methodology artificial neural network society of petroleum engineers drilling trouble al gharbi...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202325-MS
... intelligence (AI) method to predict the appropriate control parameters is critical for drilling optimization. The AI approach presented in this paper uses the power of optimized Artificial Neural Networks (ANN) to model the behavior of the non-linear, multi- input/output drilling system. The optimization...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202461-MS
... life. This paper presents a novel method of using the refined finite element analysis (FEA) in combination with Artificial Neural Network (ANN) to develop a riser digital twin that can be utilised as an operational decision-making tool for integrity management and life extension. A digital twin model...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, October 25–27, 2016
Paper Number: SPE-182359-MS
... wells using neural networks. Artificial neural networks have been successfully implemented in many disciplines in the oil and gas industry. The interconnected network between the neurons provides a nonlinear approximation of the data to solve complex models. The "Reynolds number vs. friction factor...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 20–22, 2015
Paper Number: SPE-176330-MS
... of this technology needs strenuously considerable efforts in candidate-well selection. This paper presents a novel approach of candidate-well selection by combining fuzzy logic, gaussian membership function, multi-level grey correlation analysis, imperialist competitive algorithms with artificial neural networks...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 22–24, 2012
Paper Number: SPE-158173-MS
... materials and corrosion upstream oil & gas pipeline corrosion riser corrosion corrosion rate prediction training phase society of petroleum engineers accuracy inhibitor 2 input data spe 158173 flowline corrosion artificial intelligence gas pipeline sensitivity artificial neural network...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 18–20, 2004
Paper Number: SPE-88530-MS
... intelligence information shelley selection artificial neural network flow in porous media society of petroleum engineers completion application oklahoma hydraulic fracturing operator production result prospect opportunity bob shelley fluid dynamics fracturing materials neural network upstream...

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