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Keywords: Bayesian Inference
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Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200525-MS
... to the time saved, being the decision maker free for choosing the best estimation method. risk management equation of state Artificial Intelligence Bayesian Inference machine learning risk and uncertainty assessment fluid modeling risk assessment selection robust production strategy...
Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200578-MS
... observed data as well. machine learning Bayesian Inference objective function oil production chemical flooding methods optimization problem exponent viscosity Artificial Intelligence Engineering Simulation enhanced recovery Upstream Oil & Gas concentration Chemical Injection...
Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200617-MS
... results; and (3) it allows to quantify parameter uncertainty in a principled way by exploiting the advantages of the Bayesian approach. Drillstem Testing uncertainty analysis Artificial Intelligence drillstem/well testing machine learning Upstream Oil & Gas Bayesian Inference...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195562-MS
... oil and water, while the theoretical curve accounted the oil volume only. enhanced recovery Bayesian Inference Fluid Dynamics coreflood experiment Sohrabi reservoir simulation sensitivity coefficient water saturation experiment saturation Artificial Intelligence Upstream Oil & Gas...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195438-MS
... application of advanced machine learning techniques for optimization under uncertainty, resulting in better decision making. Bayesian Inference gas injection process hamdi Artificial Intelligence gas injection Oil Recovery posterior distribution lower confidence interval cumulative oil...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190778-MS
... performance of the model for the deterministic aspect of the reservoir modelling. In addition, our findings based on different inference of selected error models highlight an enormous failure in prediction by improper models. Bayesian Inference Artificial Intelligence reservoir simulation regression...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190885-MS
... machine learning Upstream Oil & Gas Reservoir Characterization classification facies pore throat size distribution Artificial Intelligence reservoir characterisation characterisation Bayesian Inference elastic space micp-based elastic rock facies model cluster analysis...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185841-MS
... reduced downside risk but did not increase upside potential, meaning that information was more valuable to risk-averse DMs (which was up to 20 times higher), and less valuable to DMs exclusively focused on maximizing upsides. Bayesian Inference machine learning Upstream Oil & Gas flow in...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185800-MS
.... The proposed methodology presents desirable robustness against these prior uncertainties that occur frequently in the practical applications. geological modeling Bayesian Inference uncertain hard data information facies algorithm data assimilation machine learning reservoir simulation...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180189-MS
... with LVM. machine learning history matching Bayesian Inference Artificial Intelligence reservoir simulation Uncertainty Assessment mcmc algorithm society of petroleum engineers Upstream Oil & Gas proposal distribution uncertainty quantification reservoir model Afra production...
Proceedings Papers

Paper presented at the EUROPEC 2015, June 1–4, 2015
Paper Number: SPE-174315-MS
... effectiveness of our approach. enhanced recovery machine learning Bayesian Inference thermal method Artificial Intelligence principal component Upstream Oil & Gas EOR project chemical flooding methods SAGD information steam-assisted gravity drainage viscosity Screening recovery factor...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164828-MS
... simulation decision indicator project valuation Bayesian Inference Simulation Petroleum Exploration Risk analysis valuation probability asset and portfolio management decision tree stochastic simulation exploration infill drilling imperfect information extend infill drilling spe 164828...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164816-MS
... States of America. machine learning shale gas Reservoir Characterization complex reservoir well data well performance eastern part spatial dependency Test area Bayesian Inference gas price variation shale gas play maximum entropy principle Artificial Intelligence Upstream Oil...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164817-MS
... application of CO 2 -EOR attracts much attention, because a natural CO 2 source is located about 200 km north of the field and an industrial CO 2 source is investigated for the additional supply. A pilot test of CO 2 injection was implemented in the reservoir. Bayesian inference ( Sivia, 1996 ) can...
Proceedings Papers

Paper presented at the SPE Europec/EAGE Annual Conference, June 4–7, 2012
Paper Number: SPE-154544-MS
... decisions can be made with more confidence using the proposed approach. machine learning bayesian inference upstream oil & gas radian optimization geological modeling artificial intelligence history matching covariance matrixe likelihood decision variable genetic algorithm geologic...
Proceedings Papers

Paper presented at the SPE Europec/EAGE Annual Conference, June 4–7, 2012
Paper Number: SPE-154157-MS
... characterization reservoir simulation artificial intelligence upstream oil & gas optimization problem objective function well data history workflow realization bayesian inference data only 0 conditional realization model parameter optimization method exhibition production data algorithm map...
Proceedings Papers

Paper presented at the SPE EUROPEC/EAGE Annual Conference and Exhibition, May 23–26, 2011
Paper Number: SPE-142996-MS
... predicted pressures in the EnKF and Langevin-based methods which are both applicable to probabilistic workflows where uncertainty is treated rigorously. However, EnKF seems to be computationally more efficient than the Langevin approach. pressure transient analysis bayesian inference artificial...
Proceedings Papers

Paper presented at the SPE EUROPEC/EAGE Annual Conference and Exhibition, June 14–17, 2010
Paper Number: SPE-131375-MS
... intelligence iteration water rate bayesian inference transition vector upstream oil & gas markov chain localization perturbation Reservoir engineers wish to estimate future production variables and evaluate the uncertainty in the estimate, e.g., estimate cumulative oil recovery over ten...
Proceedings Papers

Paper presented at the EUROPEC/EAGE Conference and Exhibition, June 8–11, 2009
Paper Number: SPE-121274-MS
... the reservoir models and their mismatch with the real reservoirs and to finally obtain more reliable probabilistic forecasts. geological modeling Bayesian Inference Reservoir Characterization machine learning reservoir simulation geologic modeling Artificial Intelligence Upstream Oil...
Proceedings Papers

Paper presented at the Europec/EAGE Conference and Exhibition, June 9–12, 2008
Paper Number: SPE-113390-MS
... Bayesian Inference Uncertainty Assessment spe annual technical conference histogram Artificial Intelligence global objective function objective function value initial ensemble Upstream Oil & Gas proxy function reservoir model final ensemble ensemble posterior PDF SPE 113390 Response...

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