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Keywords: bayesian inference
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Journal Articles
Journal: SPE Journal
SPE J. (2021)
Paper Number: SPE-204008-PA
Published: 18 November 2021
... x ( j ) Θ ( K ) . 5 5 2021 2 8 2021 1 7 2021 18 11 2021 Copyright © 2021 Society of Petroleum Engineers artificial intelligence bayesian inference machine learning reservoir simulation mixture weight optimal solution history...
Journal Articles
Journal: SPE Journal
SPE J. (2021)
Paper Number: SPE-205213-PA
Published: 13 September 2021
... application cev optimization problem exclusion jpd application 1 optimal policy scenario bayesian inference constraint information drilling sequence upstream oil & gas sequence application 2 probability drilling campaign sdm sequence length Drilling campaigns generally demand...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 1914–1945.
Paper Number: SPE-201721-PA
Published: 11 August 2021
... optimization problem cycle length co 2 bayesian inference steam-assisted gravity drainage optimization case machine learning sagd upstream oil & gas computational time artificial intelligence complex reservoir vector hnp process simulation run fraction august 2021 constraint design...
Journal Articles
Journal: SPE Journal
SPE J. 26 (03): 1341–1365.
Paper Number: SPE-203847-PA
Published: 16 June 2021
... characterization upstream oil & gas history matching porosity em data water saturation inversion reservoir simulation model variable workflow machine learning bayesian inference data mismatch iteration realization std june 2021 saturation front day 60 permeability rmse em only initial...
Journal Articles
Journal: SPE Journal
SPE J. 26 (02): 1011–1031.
Paper Number: SPE-205029-PA
Published: 14 April 2021
... 2020 21 12 2020 4 12 2020 10 2 2021 14 4 2021 Copyright © 2021 Society of Petroleum Engineers machine learning flow in porous media bayesian inference reservoir characterization reservoir simulation artificial intelligence history matching fluid dynamics...
Journal Articles
Journal: SPE Journal
SPE J. 25 (06): 3300–3316.
Paper Number: SPE-193838-PA
Published: 17 December 2020
... Copyright © 2020 Society of Petroleum Engineers Artificial Intelligence Upstream Oil & Gas Bayesian Inference model error covariance matrix model discrepancy reservoir simulation error model prediction algorithm 1 physical model water production rate machine learning history matching...
Journal Articles
Journal: SPE Journal
SPE J. 25 (05): 2418–2432.
Paper Number: SPE-201187-PA
Published: 15 October 2020
... & Gas chlorite smectite xwater 0 0 mineralogy algorithm machine learning Artificial Intelligence quartz hdbscan lithological model fraction Reservoir Characterization Bayesian Inference stratum classical inversion inversion hypothesis noise illite structural geology dolomite ankerite...
Journal Articles
Journal: SPE Journal
SPE J. 25 (05): 2401–2417.
Paper Number: SPE-202470-PA
Published: 15 October 2020
... characterization artificial intelligence drilling operation discovery binomial lattice geological dependency oil price decision support system asset and portfolio management forward curve information bayesian inference sequential exploration drill cost spot price october 2020 scenario forward...
Journal Articles
Journal: SPE Journal
SPE J. 25 (04): 2119–2142.
Paper Number: SPE-201209-PA
Published: 13 August 2020
... Society of Petroleum Engineers machine learning artificial intelligence reservoir simulation uncertainty analysis goldstein history matching objective function uncertainty reduction bayesian inference water rate observational error modeling & simulation upstream oil & gas...
Journal Articles
Journal: SPE Journal
SPE J. 25 (03): 1416–1442.
Paper Number: SPE-187286-PA
Published: 11 June 2020
... simulation nanopore Artificial Intelligence Upstream Oil & Gas pore velocity profile Bayesian Inference shale matrix organic matter pressure gradient matrix inorganic matrix slip-corrected poiseuille equation shale nanopore inorganic pore ch 4 equation fluid modeling reservoir...
Journal Articles
Journal: SPE Journal
SPE J. 25 (01): 139–161.
Paper Number: SPE-191480-PA
Published: 17 February 2020
... uncertainty characterization Standard Deviation Bayesian Inference coarse uncertainty characterization objective function correction factor global variation measurement data machine learning history matching omission geologic modeling drillstem/well testing posterior distribution uncertainty...
Journal Articles
Journal: SPE Journal
SPE J. 25 (01): 001–036.
Paper Number: SPE-182684-PA
Published: 17 February 2020
... simulation Bayesian Inference Artificial Intelligence machine learning posterior distribution two-level mcmc method water-production rate MCMC algorithm posterior PDF Bayesian Inference proposal distribution algorithm 3 Markov chain Gaussian water-injection rate Artificial Intelligence...
Journal Articles
Journal: SPE Journal
SPE J. 25 (01): 037–055.
Paper Number: SPE-193916-PA
Published: 17 February 2020
... simulation objective function covariance matrix history-matching problem error function gmm approximation training data uncertain parameter Bayesian Inference gaussian component production control gmm fitting method gmm fitting formulation posterior PDF reservoir characterization actual...
Journal Articles
Journal: SPE Journal
SPE J. 24 (04): 1490–1507.
Paper Number: SPE-194505-PA
Published: 27 March 2019
... 2018 12 11 2018 7 11 2018 27 3 2019 15 8 2019 Copyright 2019, Society of Petroleum Engineers Reservoir Characterization machine learning Upstream Oil & Gas Bayesian Inference Artificial Intelligence reservoir simulation gas thickness number cell number cell...
Journal Articles
Journal: SPE Journal
SPE J. 24 (04): 1468–1489.
Paper Number: SPE-194488-PA
Published: 27 February 2019
...Qinzhuo Liao; Lingzao Zeng; Haibin Chang; Dongxiao Zhang Summary Bayesian inference provides a convenient framework for history matching and prediction. In this framework, prior knowledge, system nonlinearity, and measurement errors can be directly incorporated into the posterior distribution...
Journal Articles
Journal: SPE Journal
SPE J. 23 (01): 172–185.
Paper Number: SPE-186100-PA
Published: 02 August 2017
... machine learning Upstream Oil & Gas Noise level Bayesian Inference fracture growth tiltmeter Peirce Artificial Intelligence fracture footprint tilt data fracture 03 tilt signal fracture geometry footprint injection dip angle intersection time fracture geometry hydraulic fracturing...
Journal Articles
Journal: SPE Journal
SPE J. 22 (03): 767–782.
Paper Number: SPE-184392-PA
Published: 05 October 2016
... from look-ahead are also strongly affected by the measurement accuracy and the flexibility to respond rapidly by making large directional changes. 4 6 2016 10 8 2016 8 8 2016 5 10 2016 15 6 2017 Copyright 2017, Society of Petroleum Engineers Bayesian Inference...
Journal Articles
Journal: SPE Journal
SPE J. 21 (06): 2038–2048.
Paper Number: SPE-183651-PA
Published: 13 September 2016
... 2016 Copyright 2016, Society of Petroleum Engineers Reservoir Surveillance complex reservoir machine learning Artificial Intelligence reservoir simulation production control Arp model december 2016 Bayesian Inference Upstream Oil & Gas posterior distribution production...
Journal Articles
Journal: SPE Journal
SPE J. 19 (06): 1047–1057.
Paper Number: SPE-147588-PA
Published: 15 May 2014
... Reservoir Surveillance production forecasting Upstream Oil & Gas posterior distribution Bayesian method decline-curve parameter production control Bayesian Inference complex reservoir Standard Deviation probability bayesian methodology acceptance ratio decline-curve model iteration...
Journal Articles
Journal: SPE Journal
SPE J. 19 (04): 564–575.
Paper Number: SPE-159722-PA
Published: 06 August 2013
... learning structural geology discovery basin Revenue geological modeling Bayesian Inference Scenario exploration well exploration strategy node prospect evaluation exploration node 2 node 3 When deciding whether to explore and later to produce hydrocarbon (HC) at a prospect...

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