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Keywords: Bayesian Inference
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Proceedings Papers

Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179980-MS
... a black-box method is instead a natural and automated extension of well-accepted techniques, and the few published studies of the technique suggest that it may be robust, particularly over the scale of years. Artificial Intelligence uncertainty analysis Bayesian Inference variation Upstream Oil...
Proceedings Papers

Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179960-MS
... Economics Bayesian Inference cumulative production Montney formation machine learning Upstream Oil & Gas mean eur production data reliability appraisal strategy lognormal distribution reservoir production period ultimate recovery lognormally appraisal well appraisal programme...
Proceedings Papers

Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179996-MS
... quality decisions. Artificial Intelligence risk management Energy Economics asset and portfolio management Bayesian Inference project valuation complex reservoir machine learning Project economics estimates of resource in place Upstream Oil & Gas well population Bayesian method...
Proceedings Papers

Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, May 19–20, 2014
Paper Number: SPE-169847-MS
... in a new play depends on the break-even frequency of good wells in the play; in the case of no information, this value is a maximum when the break-even frequency is 50 percent. Energy Economics US government Bayesian Inference Upstream Oil & Gas small return-on-investment ratio...
Proceedings Papers

Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, March 8–9, 2010
Paper Number: SPE-130157-MS
..., or ignoring dependencies, can lead to biased probability distribution, which in turn may lead to sub-optimal decisions. maximum entropy dependency machine learning probability distribution uncertain event spe 130157 upstream oil & gas independence marginal probability mep bayesian...
Proceedings Papers

Paper presented at the Hydrocarbon Economics and Evaluation Symposium, April 1–3, 2007
Paper Number: SPE-107704-MS
... investment opportunities. It also allows them to track how the risk level of a project changes through the life of the field. machine learning Artificial Intelligence Bayesian Inference risk management risk assessment drillstem/well testing Drillstem Testing Thickness discovery risk...
Proceedings Papers

Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, April 3–5, 2005
Paper Number: SPE-94886-MS
.... reservoir surveillance production control reserves evaluation artificial intelligence bayesian inference covariance matrix information probabilistic reserve knowledge probability function machine learning production monitoring production trend bayes theorem decline curve analysis probability...
Proceedings Papers

Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, March 29–30, 1993
Paper Number: SPE-25821-MS
... is a necessity. This paper presents a framework for this valuation. reservoir characterization estimation process reserve size maturity hydrocarbon accumulation simulation decision tree bayesian inference society of petroleum engineers resolution drilling operation risk management probability...

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