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Keywords: neural network
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Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187625-MS
... elastic moduli. Three artificial intelligence techniques; Artificial Neural Networks (ANNs), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Support Vector Machines (SVM) were used to predict three geomechanical failure parameters, namely: the angle of internal friction (friction angle or FANG...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187621-MS
... better that the most accurate correlation (of the currently available ones) in term of AAPE for predicted RF of the tested 38 reservoirs. Reservoir Characterization Upstream Oil & Gas machine learning neural network fuzzy logic Elkatatny AAPE estimation correlation Rock mechanics...
Proceedings Papers

Paper presented at the SPE Kuwait Oil and Gas Show and Conference, October 11–14, 2015
Paper Number: SPE-175238-MS
... comprehensivly offers insights for fluid designs. This paper conducted a thorough study on the application of the machine leaning based methodologies including Artificial Neural Networks (ANN) and Gaussian Process Regression (GPR) to reduce the costs of testing, integrating available experimental data and...
Proceedings Papers

Paper presented at the SPE Kuwait Oil and Gas Show and Conference, October 11–14, 2015
Paper Number: SPE-175340-MS
.... Facies determination were obtained based on porosity spectrum, amount of secondary porosity combined with relevant logging results using neural network technique. This is significant to optimize well placement in the best reservoir rock types (grainstones, rudist build up and packstones). This has been...

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