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Keywords: machine learning
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Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-210559-PA
Published: 20 May 2022
... a predetermined architecture of the model,where some of the weights in their network are fixed during the forward propagation, such that it emulated the seismic wave propagation. While the previous methods focus on augmenting the machine learning models, there exist hybrid physics and machine learning models...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209814-PA
Published: 19 May 2022
..., such as refracturing candidates, infill well development, and operator benchmarking. Further analysis uses multiple benchmarks to evaluate operator performance and assess how underperforming operators can optimize their completion strategies. We use a novel machine learning approach—a combination of XGBoost and Factor...
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 work of Erofeev et al. (2021) . The authors developed the model based on a gradient-boosting machine learning algorithm. The model uses well coordinates, geology, transport and storage properties, depths, and oil/liquid rates before fracturing to the forecast of oil and total liquid production after...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209828-PA
Published: 06 May 2022
... machine learning enhanced recovery project economics waterflooding oil fraction instability reservoir characterization reservoir surveillance project valuation history matching optimization npv fluid dynamics producer production optimization egg model stosag spe9 mnpv stosag realization...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209824-PA
Published: 05 May 2022
... carried out extensive experiments on real-life log data to prove the efficiency of AMEL. 29 11 2021 8 4 2022 21 3 2022 5 5 2022 Copyright © 2022 Society of Petroleum Engineers reservoir characterization upstream oil & gas machine learning structural geology neural...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209804-PA
Published: 27 April 2022
... be applied to other engineering or science problems too. 5 12 2021 15 3 2022 14 3 2022 27 4 2022 Copyright © 2022 Society of Petroleum Engineers machine learning reservoir simulation modeling & simulation fluid dynamics hydraulic fracturing centroid particle...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-203997-PA
Published: 20 April 2022
... Copyright © 2022 Society of Petroleum Engineers neural network model parameter neural network architecture artificial intelligence data latent representation deep learning implementation ensemble machine learning upstream oil & gas lsda model latent production response architecture...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209813-PA
Published: 18 April 2022
... get the highest NPV, and has significantly enhanced convergence speed with excellent stability, proving the effectiveness of transferring historical data. machine learning modeling & simulation upstream oil & gas enhanced recovery reservoir simulation hwtgp optimization task target...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1341–1353.
Paper Number: SPE-205136-PA
Published: 13 April 2022
.... However, the continuous and dense data stream generated live by DAS poses the opportunity for more efficient and accurate real-time data-driven analysis. The objective of this study is to develop a machine learning-based workflow that can identify and locate fracture-hit events in simulated strain rate...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1304–1320.
Paper Number: SPE-206525-PA
Published: 13 April 2022
... ordinary differential equation (Latent ODE) approach is compared with other known machine learning methods, such as linear regression, ensemble-based model, and recurrent neural network (RNN). In addition, the framework of virtual flowmetering (VFM) is analyzed from the point of multiphase measurement...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1160–1175.
Paper Number: SPE-208604-PA
Published: 13 April 2022
... 6 12 2021 13 4 2022 Copyright © 2022 Society of Petroleum Engineers reservoir simulation spatial feature machine learning deep learning objective function neural network upstream oil & gas artificial intelligence history matching spe journal dcml-nn model es-mda-cc...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1354–1366.
Paper Number: SPE-208617-PA
Published: 13 April 2022
... drillstem testing machine learning log analysis modeling & simulation sedimentology production monitoring artificial intelligence hydraulic fracturing structural geology drilling operation reservoir simulation production control reservoir surveillance flow in porous media complex reservoir...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1176–1194.
Paper Number: SPE-208602-PA
Published: 13 April 2022
... stability with the guidance of theories for the considered complex situations. 8 5 2021 21 9 2021 7 9 2021 20 12 2021 13 4 2022 Copyright © 2022 Society of Petroleum Engineers machine learning deep learning collocation point flow in porous media fluid dynamics...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1140–1159.
Paper Number: SPE-204006-PA
Published: 13 April 2022
... Copyright © 2022 Society of Petroleum Engineers machine learning reservoir geomechanics bayesian inference artificial intelligence orientation structural geology calibration case pore pressure perch site calibration region upstream oil & gas material property model parameter reservoir...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1094–1108.
Paper Number: SPE-208613-PA
Published: 13 April 2022
... modeling of a full-scale stage is computationally expensive, which limits its applicability in the completion design optimization. A new approach was developed in this paper to efficiently predict proppant placement along a multicluster stage based on a machine learning (ML) model trained with extensive...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 971–985.
Paper Number: SPE-208606-PA
Published: 13 April 2022
... horizontal well fracture april 2022 wellbore machine learning fluid viscosity pfro fracturing drag force critical pfro perforation diverter transport Staged multicluster fracturing of the horizontal well is widely used to exploit tight reservoirs by creating multiple hydraulic fractures...
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. 27 (02): 1263–1274.
Paper Number: SPE-208616-PA
Published: 13 April 2022
... heavy metal transport in natural aqueous systems. 30 7 2021 4 10 2021 29 9 2021 17 1 2022 13 4 2022 Copyright © 2022 Society of Petroleum Engineers wax remediation workplace hazard machine learning corrosion inhibition hydrate remediation water management wax...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1017–1035.
Paper Number: SPE-209190-PA
Published: 13 April 2022
.... 1 7 2021 7 10 2021 2 10 2021 17 1 2022 13 4 2022 Copyright © 2022 Society of Petroleum Engineers enhanced recovery upstream oil & gas artificial intelligence fluid dynamics modeling & simulation gelant machine learning viscosity water cut gelant...

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