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Keywords: machine learning
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Journal Articles
SPE Res Eval & Eng (2023)
Paper Number: SPE-214288-PA
Published: 01 February 2023
... of Petroleum Engineers upstream oil & gas reservoir simulation norway government machine learning reservoir simulator pinn united states government neural network modeling & simulation prediction experiment rom asia government spe reservoir evaluation artificial intelligence...
Journal Articles
SPE Res Eval & Eng (2023)
Paper Number: SPE-210102-PA
Published: 10 January 2023
... simulation artificial intelligence production monitoring production control node spe reservoir evaluation evolutionary algorithm perforation upstream oil & gas optimization problem reservoir surveillance machine learning information reynolds imaginary node paper prediction model aquifer...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-210287-PA
Published: 21 November 2022
... reservoir characterization log analysis energy economics susceptibility artificial intelligence reservoir geomechanics seismicity upstream oil & gas shale gas earthquake machine learning magnitude crooked lake hfinduced earthquake spe reservoir evaluation geomechanical susceptibility...
Journal Articles
SPE Res Eval & Eng 25 (04): 730–750.
Paper Number: SPE-209234-PA
Published: 16 November 2022
... to forecast hydrocarbon production. 30 7 2021 8 12 2021 28 11 2021 7 4 2022 16 11 2022 Copyright © 2022 Society of Petroleum Engineers machine learning complex reservoir bayesian inference upstream oil & gas production forecasting reserves evaluation waic...
Journal Articles
SPE Res Eval & Eng 25 (04): 832–848.
Paper Number: SPE-209811-PA
Published: 16 November 2022
... characterization drilling fluid management & disposal drilling operation log analysis drilling fluids and materials machine learning well control artificial intelligence reservoir geomechanics well logging upstream oil & gas structural geology drilling parameter reservoir evaluation pore...
Journal Articles
SPE Res Eval & Eng 25 (04): 849–865.
Paper Number: SPE-210576-PA
Published: 16 November 2022
... machine learning reservoir characterization reservoir simulation log analysis structural geology rock composition artificial intelligence upstream oil & gas well logging history matching precision constant mcmce model parameter fraction standard deviation pdf endpoint matrix gamma ray...
Journal Articles
SPE Res Eval & Eng 25 (04): 751–773.
Paper Number: SPE-206126-PA
Published: 16 November 2022
..., geared toward improving reservoir management. The method was able to predict the performance of new wells in previously undrilled locations, potentially without using a reservoir simulator. machine learning reservoir surveillance reservoir simulation production control production monitoring...
Journal Articles
SPE Res Eval & Eng 25 (04): 794–814.
Paper Number: SPE-210577-PA
Published: 16 November 2022
...Toluwalase Olukoga; Micheal Totaro; Yin Feng Summary This paper investigates the computational behaviors of simple-to-use, relatively fast, and versatile machine learning (ML) methods to predict apparent viscosity, a key rheological property of nanoparticle-surfactant-stabilized CO 2 foam...
Includes: Supplementary Content
Journal Articles
SPE Res Eval & Eng 25 (04): 815–831.
Paper Number: SPE-210575-PA
Published: 16 November 2022
... to consider the water injection direction and form a weighted directed graph. upstream oil & gas deep learning interwell connectivity spe reservoir evaluation neural network reservoir prediction machine learning matrix ag-gru wavelet coefficient permeability engineering numerical...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-212833-PA
Published: 09 November 2022
... of these methods over three different routine core analysis data sets. upstream oil & gas machine learning artificial intelligence scenario number reservoir characterization hfus algorithm correlation coefficient spe reservoir evaluation dbscan epsilon optic epsilon epsilon hydraulic flow...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-212837-PA
Published: 07 November 2022
... forecasting artificial intelligence oil shale shale oil reservoir surveillance spe reservoir evaluation bayesian algorithm application production control hindcast gibb sampler engineer production monitoring shale basin decline curve analysis paper machine learning bakken shale unconventional...
Includes: Supplementary Content
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-212301-PA
Published: 12 October 2022
... the features in terms of their importance. Wrapper methods are the third primary feature selection strategy. These methods are computationally greedy and employ a search strategy that attempts to find the globally optimal feature subset based on the performance of the machine learning algorithm used. Due...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-212305-PA
Published: 12 October 2022
...-variance optimization well placement optimization decision-making waterflooding asset and portfolio management enhanced recovery machine learning realization criterion variance spe reservoir evaluation volatility downside volatility reservoir characterization placement optimization investor...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-212299-PA
Published: 04 October 2022
... investigated 18 methods of DR commonly applied in the literature. The proposed workflow accomplished (1) definition of the adequate number of dimensions; (2) evaluation of the time spent for each data set generated using the elapsed computational time; (3) training using the automated machine learning (AutoML...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-212300-PA
Published: 03 October 2022
... in porous media is ( Brownstein and Tarr 1979 ) as follows: upstream oil & gas well logging artificial intelligence gradient log analysis spe reservoir evaluation machine learning mineralogy kaolinite nontronite eff structural geology reservoir characterization bead porosity...
Journal Articles
SPE Res Eval & Eng 25 (03): 568–582.
Paper Number: SPE-209616-PA
Published: 11 August 2022
...Amine Tadjer; Aojie Hong; Reidar Bratvold Summary Following the rapid growth of unconventional resources, many models and methods have been proposed for forecasting the performances of unconventional wells. Several studies have attempted to use machine learning (ML) for improving the forecasting...
Journal Articles
SPE Res Eval & Eng 25 (03): 641–654.
Paper Number: SPE-209790-PA
Published: 11 August 2022
... to better understand the current state of the reservoir being targeted, including zones that are likely highly drained relative to others, and how the planned hydraulic fracturing of child wells can be improved. reservoir characterization machine learning energy economics artificial intelligence...
Journal Articles
SPE Res Eval & Eng 25 (03): 486–508.
Paper Number: SPE-209203-PA
Published: 11 August 2022
... instead of forecasting the production of large sets of wells as is the case here. production control production logging complex reservoir reserves evaluation machine learning reservoir surveillance production forecasting history matching reservoir characterization artificial intelligence...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-206109-PA
Published: 01 August 2022
... characterization tortuosity log analysis reservoir simulation artificial intelligence diagnostic medicine hydraulic tortuosity algorithm conductivity sample 1 spe reservoir evaluation anisotropy pore diffusional tortuosity machine learning estimation geometrical tortuosity sample 2 image...
Journal Articles
SPE Res Eval & Eng (2022)
Paper Number: SPE-206010-PA
Published: 01 August 2022
... the polymer mechanical degradation at ultimate shear rates primarily observed near wellbores. Moreover, the fitting parameters used in the model were correlated to rock and polymer properties using machine learning technique, significantly reducing the need for time-consuming coreflooding tests for future...
Includes: Supplementary Content

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