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Keywords: Bayesian Inference
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044312-MS
... bayesian inference reservoir surveillance energy economics arp bayesian 60 1 estimation evaluator URTeC: 4044312 Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves Doug McMaster*1, David S. Fulford2, Stephen Krughoff1, Zidong...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3856826-MS
... that incorporates variable BHP conditions into DCA models with Bayesian inference to improve the accuracy of production history-matches while quantifying the uncertainty of the model s parameters and its future production prediction. We present the application of this workflow for shale gas wells. This work uses...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5020-MS
... single-phase and scaled two-phase (oil and gas) solutions of the diffusivity equation. First, we perform Bayesian inference to generate probabilistic production forecasts for each model using a Bayesian workflow in which we assess the convergence of our Markov chain Monte Carlo algorithm, calibrate...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5676-MS
... on our new analysis, we report that the HnP results in an average of 76% improvement in oil recovery compared to natural depletion. artificial intelligence thermal method modeling & simulation enhanced recovery machine learning bayesian inference steam-assisted gravity drainage...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-1023-MS
... surveillance flow in porous media hydraulic fracturing reservoir simulation fluid modeling production monitoring bayesian inference shale gas complex reservoir history matching upstream oil & gas drillstem/well testing simulation model unconventional resource economics match point emulator...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-517-MS
... hydraulic fracturing posterior distribution lamination factor hydraulic fracture geometry Bayesian Inference bayesian methodology Metropolis algorithm frac design model Artificial Intelligence Upstream Oil & Gas fracture height application machine learning Quantify Uncertainty...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2902792-MS
... Reservoir Surveillance normal score transform geological modeling production monitoring Upstream Oil & Gas Reservoir Characterization Artificial Intelligence information geologic modeling production control Bayesian Inference spatial continuity production forecast quantile horizontal...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2902561-MS
... and studying complex fluid flow behavior such as well interference. machine learning Artificial Intelligence complex reservoir Simulation simulator subsurface uncertainty Bayesian Inference hydraulic fracturing fracture geometry concentration geomechanics simulation calibration Upstream Oil...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2902891-MS
... Drilling Bayesian Inference information trajectory design well planning drilling operation optimization Well position URTeC directional survey well path Wellbore Position Wolfcamp probability distribution geology horizontal well pilot well cloud Bayesian network interpretation formation...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2900625-MS
... the most probable model given the data, and we demonstrate the value of using this approach to consider multiple models in probabilistic DCA for unconventional plays. machine learning Artificial Intelligence production control Bayesian Inference Reservoir Surveillance complex reservoir...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2697318-MS
... control Bayesian Inference machine learning Artificial Intelligence Reservoir Surveillance accuracy prediction Midland Basin Upstream Oil & Gas well performance production data drilling operation production forecast allocation production monitoring algorithm public data Directional...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2652022-MS
... of perforation shots, limited ray coverage, and identifying / classifying different phase arrivals in the perforation data, building a reasonable velocity model is very challenging. In this paper, we present a field case study, in which we apply the Bayesian inference algorithm to simultaneously invert...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2668390-MS
... Artificial Intelligence event distribution information Reservoir Characterization Upstream Oil & Gas posterior machine learning hydraulic fracturing accuracy Bayesian Inference bayes theorem uncertain input parameter microseismic data probability input parameter assumption...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2448463-MS
.... Numerous working hypotheses have been proposed in order to explain the causes of such behavior; for example loss of fracture conductivity and fracture pressure interaction (Hamed et al. 2013). machine learning Bayesian Inference complex reservoir shale gas Fluid Dynamics flow in porous media...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2459399-MS
... the limitations of incomplete or imprecise data and offers a very accurate prediction of where failures may occur. machine learning Artificial Intelligence complex reservoir information Bayesian Inference unconventional resource economics Upstream Oil & Gas likelihood Bayesian network...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2429986-MS
... to define how to drill wells and determine fracture stages spacing or the number of wells. There are mainly three categories of Estimated Ultimate Recovery (EUR) prediction methodologies for unconventionals: flow in porous media Artificial Intelligence Bayesian Inference machine learning...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2153641-MS
... Reservoir Characterization spe-178548-m urtec microseismic event location perforation shot estimation Artificial Intelligence Maxwell velocity model contractor waveform Bayesian Inference information arrival time head wave source receiver distance Upstream Oil & Gas p-wave...

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