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Cross-Domain Feature learning and data augmentation for few-shot proxy development in oil industry

Applied soft computing, 2023-12, Vol.149, p.110972, Article 110972

2023

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Deep hierarchical distillation proxy-oil modeling for heterogeneous carbonate reservoirs

Engineering applications of artificial intelligence, 2023-11, Vol.126, p.107076, Article 107076

2023

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End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations

Applied soft computing, 2024-09, Vol.162, p.111799, Article 111799

2024

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A new parameterization method for data assimilation and uncertainty assessment for complex carbonate reservoir models based on cumulative distribution function

Journal of petroleum science & engineering, 2019-12, Vol.183 (C), p.106400, Article 106400

2019

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Quantitative integration of 3D and 4D seismic impedance into reservoir simulation model updating in the Norne Field

Geophysical Prospecting, 2019-01, Vol.67 (1), p.167-187

2019

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A machine‐learning framework to estimate saturation changes from 4D seismic data using reservoir models

Geophysical Prospecting, 2022-10, Vol.70 (8), p.1388-1409

2022

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Model-based decision analysis applied to petroleum field development and management

Oil & gas science and technology, 2019, Vol.74, p.46

2019

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Integration of geostatistical realizations in data assimilation and reduction of uncertainty process using genetic algorithm combined with multi-start simulated annealing

Oil & gas science and technology, 2019, Vol.74, p.73

2019

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A new procedure for well productivity and injectivity calibration to improve short-term production forecast

Geoenergy Science and Engineering, 2023-10, Vol.229, p.212105, Article 212105

2023

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Qualitative time-lapse seismic interpretation of Norne Field to assess challenges of 4D seismic attributes

Leading edge (Tulsa, Okla.), 2018-10, Vol.37 (10), p.754-762

2018

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Selection of Representative Models for Decision Analysis Under Uncertainty

Computers & geosciences, 2016-03, Vol.88, p.67-82

2016

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Binary well placement optimization using a decomposition-based multi-objective evolutionary algorithm with diversity preservation

Computational geosciences, 2023-10, Vol.27 (5), p.765-782

2023

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Flow Simulation Using Local Grid Refinements to Model Laminated Reservoirs

Oil & gas science and technology, 2018, Vol.73, p.5

2018

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A new methodology for Bayesian history matching using parallel interacting Markov chain Monte Carlo

Applied mathematics in science and engineering, 2018-04, Vol.26 (4), p.498-529

2018

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Cluster-based learning and evolution algorithm for optimization

Geoenergy Science and Engineering, 2023-08, Vol.227, p.211801, Article 211801

2023

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Developing a workflow to represent fractured carbonate reservoirs for simulation models under uncertainties based on flow unit concept

Oil & gas science and technology, 2019, Vol.74, p.15

2019

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A methodology to constrain pressure and saturation estimation from 4D seismic using multiple simulation models and observed data

Journal of petroleum science & engineering, 2013-05, Vol.105, p.51-61

2013

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Influence of well management in the development of multiple reservoir sharing production facilities

Oil & gas science and technology, 2020, Vol.75, p.70

2020

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A new procedure to reduce uncertainties in reservoir models using statistical inference and observed data

Journal of petroleum science & engineering, 2013-10, Vol.110, p.7-21

2013

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Water alternative gas (WAG) optimization for a heterogeneous Brazilian pre-salt carbonate reservoir

Journal of geophysics and engineering, 2023-09, Vol.20 (5), p.978-992

2023

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Time series causal relationships discovery through feature importance and ensemble models

Scientific reports, 2023-07, Vol.13 (1), p.11402-11402, Article 11402

2023

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A new approach with multiple realizations for image perturbation using co-simulation and probability perturbation method

Oil & gas science and technology, 2018, Vol.73, p.68

2018

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A new optimization framework using genetic algorithm and artificial neural network to reduce uncertainties in petroleum reservoir models

Engineering optimization, 2015-01, Vol.47 (1), p.72-86

2015

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Analysis of time-lapse seismic and production data for reservoir model classification and assessment

Journal of geophysics and engineering, 2018-08, Vol.15 (4), p.1561-1587

2018

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Evaluation of an uncertainty reduction methodology based on Iterative Sensitivity Analysis (ISA) applied to naturally fractured reservoirs

Oil & gas science and technology, 2019, Vol.74, p.40

2019

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Cross-Domain Feature learning and data augmentation for few-shot proxy development in oil industry

Deep hierarchical distillation proxy-oil modeling for heterogeneous carbonate reservoirs

End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations

A new parameterization method for data assimilation and uncertainty assessment for complex carbonate reservoir models based on cumulative distribution function

Quantitative integration of 3D and 4D seismic impedance into reservoir simulation model updating in the Norne Field

A machine‐learning framework to estimate saturation changes from 4D seismic data using reservoir models

Model-based decision analysis applied to petroleum field development and management

Integration of geostatistical realizations in data assimilation and reduction of uncertainty process using genetic algorithm combined with multi-start simulated annealing

A new procedure for well productivity and injectivity calibration to improve short-term production forecast

Qualitative time-lapse seismic interpretation of Norne Field to assess challenges of 4D seismic attributes

Selection of Representative Models for Decision Analysis Under Uncertainty

Binary well placement optimization using a decomposition-based multi-objective evolutionary algorithm with diversity preservation

Flow Simulation Using Local Grid Refinements to Model Laminated Reservoirs

A new methodology for Bayesian history matching using parallel interacting Markov chain Monte Carlo

Cluster-based learning and evolution algorithm for optimization

Developing a workflow to represent fractured carbonate reservoirs for simulation models under uncertainties based on flow unit concept

A methodology to constrain pressure and saturation estimation from 4D seismic using multiple simulation models and observed data

Influence of well management in the development of multiple reservoir sharing production facilities

A new procedure to reduce uncertainties in reservoir models using statistical inference and observed data

Water alternative gas (WAG) optimization for a heterogeneous Brazilian pre-salt carbonate reservoir

Time series causal relationships discovery through feature importance and ensemble models

A new approach with multiple realizations for image perturbation using co-simulation and probability perturbation method

A new optimization framework using genetic algorithm and artificial neural network to reduce uncertainties in petroleum reservoir models

Analysis of time-lapse seismic and production data for reservoir model classification and assessment

Evaluation of an uncertainty reduction methodology based on Iterative Sensitivity Analysis (ISA) applied to naturally fractured reservoirs

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