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Keywords: Bayesian Inference
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Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201404-MS
... January 2013. Second, the evaluation of data derivatives by Bayesian inference. The use of Bayesian methods provides two advantages: 1) a distribution of non-unique results enables us to visualize uncertainty due to data quality, and 2) automatic hyperparameter optimization, which in this case...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-195837-MS
... and uncertainty parameters, and number of datapoints (e.g. maturity of the reservoir development). These guidelines will greatly help the decision-making process in selection of best development options. machine learning Bayesian Inference posterior distribution uncertainty parameter workflow algorithm...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-196119-MS
... Bayesian Inference reservoir-pressure data dynamic model Artificial Intelligence Upstream Oil & Gas model parameter application preconditioner permeability field vector grid equation algorithm model maturation realization adjoint method matrix ensemble model maturation adjoint...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191480-MS
.... This includes not only the quality of the simulation model but also the quality of the characterization for reservoir uncertainties. Introduction geologic modeling Artificial Intelligence Reservoir Characterization geological modeling Bayesian Inference machine learning reservoir simulation local...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191516-MS
... Method uncertainty quantification approximation l-gmm approximation Bayesian Inference objective function conditional realization map point reservoir model blue curve realization algorithm posterior PDF Reynolds gaussian component local map point Introduction Reservoir properties...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191627-MS
... the reflection coefficient log with the ricker zero phase wavelet of central frequency 40Hz. machine learning Reservoir Characterization Upstream Oil & Gas Artificial Intelligence data covariance matrix vertical seismic profile optimization problem Bayesian Inference sensitivity matrix model...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 26–28, 2016
Paper Number: SPE-181325-MS
... sector model of a fracture dominated carbonate reservoir. This sector model was ~17 million active grid cells with no application of simulation grid upscaling. The AHM workflow integrates probabilistic Bayesian inference using Ensemble Smoother with Multiple Data Assimilation (ES-MDA), which...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 26–28, 2016
Paper Number: SPE-181639-MS
... as well as the history matching conclusions from the ED-RSM-MCMC workflow. Bayesian Inference reservoir simulation machine learning history matching information uncertainty space posterior distribution Artificial Intelligence Upstream Oil & Gas good match ensemble probabilistic...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-175144-MS
... ≻ X J if: (2) ∀ i ∈ { 1 , 2 , … , m } : f i ( x I ) ≤ f i ( x J ) ∧ ∃ j ∈ { 1 , 2 , … , m } : f j ( x I ) < f j ( x J ) evolutionary algorithm reservoir simulation parameter space Bayesian...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-175121-MS
... is increased in a perfect model with noisy data. machine learning history matching reservoir simulation Bayesian Inference Artificial Intelligence Upstream Oil & Gas data mismatch workflow Forecast Uncertainty field data uncertainty distribution posterior uncertainty distribution Standard...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-175122-MS
... prediction result bayesian inference Introduction Uncertainty quantification using reservoir simulation models is becoming increasingly important for making field development decisions ( Subbey et al. 2004 ; Webb et al. 2008 ; Oliver and Chen 2011 ; Bazargan et al. 2013 ; Goodwin 2015...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-174784-MS
... production forecasting by human evaluators for most unconventional wells with consistent trends of production history. machine learning Artificial Intelligence production control Bayesian Inference production monitoring Reservoir Surveillance Simulation reliable technology linear flow Standard...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-174900-MS
... artificial neural network Bayesian Inference regression model multilinear regression linear regression gas recovery efficiency prediction performance candidate variable sequential feature selection recovery efficiency database linear regression model Introduction Big data loosely refers...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 27–29, 2014
Paper Number: SPE-170636-MS
... matching geological modeling Bayesian Inference reservoir simulation information geologic modeling Artificial Intelligence Upstream Oil & Gas gridblock subfigure facies porosity switching point reservoir model rock property CDF curve hard data permeability unconditional realization...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2013
Paper Number: SPE-166512-MS
... surveillance production control flow in porous media flow rate uncertainty quantification permeability map equation reservoir simulation information permeability distribution temperature data posterior pdf bayesian inference fluid dynamics production logging production temperature upstream oil...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2013
Paper Number: SPE-166387-MS
... artificial intelligence bayesian inference flow rate torque data validation node sensor data validation sensor machine learning upstream oil & gas bayesian network algorithm drilling operation well plan rig belief pattern validation scenario instantiation table sensor...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2013
Paper Number: SPE-166308-MS
... calculation machine learning bayesian inference voi technique assurance activity strategic planning and management test accuracy artificial intelligence new information competency assessment information engineer competency decision tree assessment audit conclusion spe 166308 competency...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 8–10, 2012
Paper Number: SPE-159722-MS
... lucrative prospect tends to be selected first, but the sequential decisions depend on the outcome of the exploration well in this first prospect. artificial intelligence machine learning node mechanism martinelli bayesian inference exploration campaign prospect evaluation structural geology...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 30–November 2, 2011
Paper Number: SPE-147062-MS
... upstream oil & gas geological dependency evaluation bayesian decision network bayesian inference three-well example prospect geologic modeling artificial intelligence spe 147062 influence diagram dependency dependence evaluation correlation coefficient decision tree joint probability...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 19–22, 2010
Paper Number: SPE-134290-MS
... intelligence production monitoring information resolution reservoir characterization production rate temperature distribution porosity field production data permeability machine learning production control assimilation reservoir surveillance ensemble bayesian inference flow in porous media...

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