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Keywords: optimization problem
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Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209830-PA
Published: 12 May 2022
... machine learning optimization problem survey point evolutionary algorithm trajectory design endpoint artificial intelligence upstream oil & gas boundary condition continuity condition inclination cubic bezier curve composite bezier curve path design control point well planning bezier...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209829-PA
Published: 10 May 2022
... in the introduction section assume to be fulfilled during the whole exploitation period. By applying the integrating factor technique to the governing equation, the final approximate solution takes the following form: machine learning production control artificial intelligence optimization problem reservoir...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209828-PA
Published: 06 May 2022
... 2021 12 4 2022 8 4 2022 6 5 2022 Copyright © 2022 Society of Petroleum Engineers production monitoring asset and portfolio management reservoir simulation production control artificial intelligence optimization problem upstream oil & gas iteration algorithm...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209813-PA
Published: 18 April 2022
... from historical data and transfer it to the target production-optimization problem, avoiding massive time for “trial and error” and getting superior performance. Besides, HWTGP has a self-adaptive mechanism to avoid harmful and ineffective experience transfer when tasks in historical and current...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1140–1159.
Paper Number: SPE-204006-PA
Published: 13 April 2022
... characterization optimization problem model uncertainty boundary condition calibration procedure chester 16 stress field standard deviation battelle calibration parameter calibration target bulk density april 2022 Whether in the support of safe subsurface engineering operations [hydrocarbon...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1287–1303.
Paper Number: SPE-209206-PA
Published: 13 April 2022
... reservoir characterization machine learning well logging drilling fluid management & disposal equation of state optimization problem structural geology eaton equation upstream oil & gas mwd data distribution characteristic probability density approximate algorithm prediction result log...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209624-PA
Published: 11 April 2022
... & simulation equation of state hydraulic fracturing complex reservoir history matching reservoir simulation node upstream oil & gas spe journal machine learning enhanced recovery flow in porous media optimization problem waterflooding drillstem/well testing physical property reservoir...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209617-PA
Published: 24 March 2022
... complex reservoir plugging material upstream oil & gas ideal packing theory particle size fracture optimization problem experiment lcm leakage different size dissolution percentage psd seam plate particle size distribution Compared with conventional sandstone reservoirs...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209191-PA
Published: 21 March 2022
...Junjie Yu; Behnam Jafarpour Summary Optimization of well controls in waterflooding operations has been established as an effective strategy to increase oil recovery efficiency and to reduce operating costs. Optimization problems, however, entail hundreds of full-scale reservoir simulation runs...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-204004-PA
Published: 11 March 2022
..., it will be calculated from the previous timestep based on the determined rate and timestep size. optimization problem modeling & simulation artificial intelligence upstream oil & gas constraint proxy inflow performance accuracy proxy engine well performance reservoir simulation ipr database...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209611-PA
Published: 08 March 2022
... modeling & simulation neural network optimization problem history matching completion installation and operations steam-assisted gravity drainage injector network model conn hm result optimal case producer flow network sagd reservoir simulation gridblock uncertainty parameter...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209584-PA
Published: 07 March 2022
...). Incorporation of the full set of realizations results in the oil and gas field development optimization problem—where either an algorithm iteratively tries to find the best solution from all the possible alternatives or the best solution must be selected from a set of predefined engineering judgment-driven...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209226-PA
Published: 28 February 2022
...) , applied EnOpt to large-scale waterflooding optimization problems. More recently, the accuracy of the estimated gradients has improved by modifying the covariance and finding an optimal number for the ensemble size of the perturbed vectors ( Fonseca et al. 2014 , Fonseca et al. 2015 ; Sarma and Chen 2014...
Journal Articles
Journal: SPE Journal
SPE J. 27 (01): 226–245.
Paper Number: SPE-203951-PA
Published: 16 February 2022
...) to address the generalizable field development optimization problem, in which the AI could provide optimized FDPs in seconds for new scenarios within the range of applicability. In the proposed approach, the problem of field development optimization is formulated as a Markov decision process (MDP) in terms...
Journal Articles
Journal: SPE Journal
SPE J. 27 (01): 519–531.
Paper Number: SPE-206740-PA
Published: 16 February 2022
... intelligence upstream oil & gas production monitoring optimization problem production control gas injection oil production ipr curve platform glpc uncertainty budget production test data formulation constraint reservoir pressure probability distribution operational point reservoir...
Journal Articles
Journal: SPE Journal
SPE J. 27 (01): 364–380.
Paper Number: SPE-203971-PA
Published: 16 February 2022
...Yixuan Wang; Faruk Alpak; Guohua Gao; Chaohui Chen; Jeroen Vink; Terence Wells; Fredrik Saaf Summary Although it is possible to apply traditional optimization algorithms to determine the Pareto front of a multiobjective optimization problem, the computational cost is extremely high when...
Journal Articles
Journal: SPE Journal
SPE J. 27 (01): 246–273.
Paper Number: SPE-203960-PA
Published: 16 February 2022
...Faruk Alpak; Vivek Jain; Yixuan Wang; Guohua Gao Summary We describe the development and validation of a novel algorithm for field-development optimization problems and document field-testing results. Our algorithm is founded on recent developments in bound-constrained multiobjective optimization...
Includes: Supplementary Content
Journal Articles
Journal: SPE Journal
SPE J. 27 (01): 613–631.
Paper Number: SPE-206749-PA
Published: 16 February 2022
... on the specific problem configuration, our new NTPFA formulation can lead to a system of nonlinear equations that is more difficult to solve. reservoir simulation ntpfa method primary unknown optimization problem flow in porous media fluid dynamics triangular mesh artificial intelligence upstream oil...
Journal Articles
Journal: SPE Journal
SPE J. 27 (01): 329–348.
Paper Number: SPE-204008-PA
Published: 16 February 2022
... Copyright © 2022 Society of Petroleum Engineers artificial intelligence machine learning bayesian inference optimization problem gmm approximation gaussian component gmm sample history matching iteration unknown gmm parameter gmm fitting method realization february 2022 reservoir...
Journal Articles
Journal: SPE Journal
SPE J. 27 (01): 307–328.
Paper Number: SPE-206755-PA
Published: 16 February 2022
... evolutionary algorithm hydraulic fracturing machine learning shale gas artificial intelligence complex reservoir objective function particle upstream oil & gas iteration step nf pattern reservoir characterization optimization problem edfm geological uncertainty hmopso zhang surrogate model...

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