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Keywords: training data
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Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, March 13–14, 2018
Paper Number: SPE-189753-MS
.... Data-driven or AI-based modeling approaches for production analysis have gained much attention over recent years. In most cases, a training data set consisting of many different realizations of reservoir heterogeneity is needed. A key question remains: "how many realizations are needed to span...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170085-MS
... method SAGD Artificial Intelligence machine learning neural network reservoir simulation proxy production rate Radial basis Function simulator Upstream Oil & Gas training data oil production rate proxy model enhanced recovery steam-assisted gravity drainage interpolation parameter...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 10–12, 2014
Paper Number: SPE-170113-MS
..., artificial neural network (ANN) is employed to predict SAGD production in heterogeneous reservoirs, an important application that is lacking in existing literature. Numerical flow simulations are performed to construct a training data set consists of various attributes describing characteristics associated...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 11–13, 2013
Paper Number: SPE-165395-MS
... Intelligence Upstream Oil & Gas interpolation machine learning steam-assisted gravity drainage proxy training data prediction rate sctr operational parameter parameter space variogram enhanced recovery reservoir simulation field oil production rate sctr coefficient proxy model entire field...
Proceedings Papers

Paper presented at the SPE Heavy Oil Conference-Canada, June 11–13, 2013
Paper Number: SPE-165557-MS
... to predict SAGD recovery performance in heterogeneous reservoirs, an important application that is lacking in existing literature. In this study, numerical flow simulations are performed to construct a training data set consists of various attributes describing characteristics associated with reservoir...

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