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Keywords: input parameter
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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
... models performed better than ANN and SVM. The two ANFIS models had correlation coefficients of 0.99 and Average Absolute Percentage Errors (AAPE) of 4.9% and 3.7% respectively. machine learning Upstream Oil & Gas Elkatatny artificial neural network neural network input parameter porosity...
Proceedings Papers

Paper presented at the SPE Kuwait Oil and Gas Show and Conference, October 11–14, 2015
Paper Number: SPE-175238-MS
... intelligent fluid design and considerably reduces the cost. machine learning regression input parameter neural network regression function training data covariance function Artificial Intelligence GPR rheological property algorithm artificial neural network Gaussian process regression...

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