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Keywords: algorithm
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Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198018-MS
...) algorithms were tested. Features were primarily grouped based on clustering. The predicted results are compared to history. The resulting models are further extended to generate type curves for future water cut prediction for different combinations of the operating parameters. MLR and ACE based predictive...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198074-MS
... using an integrated machine learning workflow that combines the nonlinear feature selection capability of functional networks (FNs) with the traditional feed-forward back-propagation algorithm of artificial neural networks (ANNs) to build an FN-ANN hybrid machine learning approach. Datasets collected...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198123-MS
... algorithms such as Random Forest, Decision Tree and Neural Network were applied next to the sand prediction problem, focusing on identifying root causes for repetitive sand failures in wells and if possible to predict initial or subsequent sand failures. The study indicated that integrated visualizations...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198044-MS
... become uncertain. The multi-propagation-resistivity (MPR) responses show so called polarization horn effects at bed boundaries when beds with a high resistivity contrast are encountered. During the process of inverting these resistivities to obtain true formation resistivity (Rt), inversion algorithms...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187625-MS
... fuzzy logic Artificial Intelligence failure parameter strength well log Anfis inference system geomechanical failure parameter regression plot algorithm estimation equation prediction compressive strength correlation coefficient society of petroleum engineers Introduction Any...
Proceedings Papers

Paper presented at the SPE Kuwait Oil and Gas Show and Conference, October 11–14, 2015
Paper Number: SPE-175238-MS
... 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 society of petroleum engineers...
Proceedings Papers

Paper presented at the SPE Kuwait Oil and Gas Show and Conference, October 11–14, 2015
Paper Number: SPE-175366-MS
... offered by these monitoring techniques in reservoir management and recovery optimization. Reservoir Characterization enhanced recovery Upstream Oil & Gas surface displacement SAGD interferogram information operation algorithm Oil Recovery thermal method Interferometry variation...
Proceedings Papers

Paper presented at the SPE Kuwait Oil and Gas Show and Conference, October 8–10, 2013
Paper Number: SPE-167339-MS
.... Although the basic idea is quite simple, the development of reliable InSAR algorithms was a long process as significant noise effects due to atmospheric phase delay and decorrelation phenomena had to be resolved. In 1999, the first results of the so- called Permanent Scatterer technique (PSInSAR), enabling...
Proceedings Papers

Paper presented at the SPE Kuwait Oil and Gas Show and Conference, October 8–10, 2013
Paper Number: SPE-167341-MS
..., and a commercial optimizing tool to determine the optimal field operating variables. enhanced recovery steam-assisted gravity drainage Simulation Artificial Intelligence Upstream Oil & Gas Efficiency SAGD steam zone steamflood operation oil production algorithm Injection Rate steam quality...

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