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Risk quantification combining geostatistical realizations and discretized Latin Hypercube

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2017-02, Vol.39 (2), p.575-587

2017

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Production strategy optimization based on iterative discrete Latin hypercube

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016-12, Vol.38 (8), p.2473-2480

2016

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Probabilistic history matching using discrete Latin Hypercube sampling and nonparametric density estimation

Journal of petroleum science & engineering, 2016-11, Vol.147, p.98-115

2016

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Principal component analysis for reservoir uncertainty reduction

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016-04, Vol.38 (4), p.1345-1355

2016

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Development of complex layered and fractured reservoir models for reservoir simulation

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2017, Vol.39 (1), p.219-233

2017

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Bayesian history matching using artificial neural network and Markov Chain Monte Carlo

Journal of petroleum science & engineering, 2014-11, Vol.123, p.62-71

2014

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A comparative study to accelerate field development plan optimization

Journal of petroleum science & engineering, 2022-01, Vol.208, p.109708, Article 109708

2022

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Enhancing vertical resolution with 4D seismic inversion

Journal of petroleum science & engineering, 2022-05, Vol.212, p.110291, Article 110291

2022

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A new methodology for history matching combining iterative discrete Latin Hypercube with multi-start simulated annealing

Journal of petroleum science & engineering, 2018-10, Vol.169, p.560-577

2018

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Developing a workflow to select representative reservoir models combining distance-based clustering and data assimilation for decision making process

Journal of petroleum science & engineering, 2020-07, Vol.190, p.107078, Article 107078

2020

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A Design Process Integrating Human-Data Interaction Guidelines and Semio-Participatory Design

Enterprise Information Systems, 2020, Vol.378, p.334-360

2020

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Advancements towards DFKN modelling: Incorporating fracture enlargement resulting from karstic dissolution in discrete fracture networks

Journal of petroleum science & engineering, 2022-02, Vol.209, p.109944, Article 109944

2022

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Influence of well and gathering systems parameters on integrated petroleum reservoir and production system simulations

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2018-09, Vol.40 (9), p.1-21, Article 435

2018

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Applying a localization technique to Kalman Gain and assessing the influence on the variability of models in history matching

Journal of petroleum science & engineering, 2018-10, Vol.169, p.110-125

2018

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Application of risk-informed closed-loop field development workflow to elucidate the evolution of uncertainties

Journal of petroleum science & engineering, 2021-02, Vol.197 (C), p.107960, Article 107960

2021

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A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data

Journal of petroleum science & engineering, 2021-11, Vol.206, p.108988, Article 108988

2021

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Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

Journal of petroleum science & engineering, 2020-06, Vol.189, p.106993, Article 106993

2020

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An artificial intelligence method for improving upscaling in complex reservoirs

Journal of petroleum science & engineering, 2022-04, Vol.211, p.110071, Article 110071

2022

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Methodology for data assimilation in reservoir and production system to improve short- and medium-term forecast

Journal of petroleum science & engineering, 2021-12, Vol.207, p.109083, Article 109083

2021

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A three-way convolutional network to compare 4D seismic data and reservoir simulation models in different domains

Journal of petroleum science & engineering, 2022-01, Vol.208, p.109260, Article 109260

2022

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Data assimilation for uncertainty reduction using different fidelity numerical models

Journal of petroleum science & engineering, 2022-02, Vol.209, p.109851, Article 109851

2022

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A comparison of machine learning surrogate models for net present value prediction from well placement binary data

Journal of petroleum science & engineering, 2022-01, Vol.208, p.109208, Article 109208

2022

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Modeling subsea gas-liquid separation using proxy for phase separation for pre-salt reservoirs with high GOR

Journal of petroleum science & engineering, 2022-05, Vol.212, p.110267, Article 110267

2022

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Analysis of different objective functions in petroleum field development optimization

Journal of petroleum exploration and production technology, 2024-10, Vol.14 (10), p.2785-2805

2024

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Improving coarse-scale simulation models with a dual-porosity dual-permeability upscaling technique and a near-well approach

Journal of petroleum science & engineering, 2021-03, Vol.198, p.108132, Article 108132

2021

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Risk quantification combining geostatistical realizations and discretized Latin Hypercube

Production strategy optimization based on iterative discrete Latin hypercube

Probabilistic history matching using discrete Latin Hypercube sampling and nonparametric density estimation

Principal component analysis for reservoir uncertainty reduction

Development of complex layered and fractured reservoir models for reservoir simulation

Bayesian history matching using artificial neural network and Markov Chain Monte Carlo

A comparative study to accelerate field development plan optimization

Enhancing vertical resolution with 4D seismic inversion

A new methodology for history matching combining iterative discrete Latin Hypercube with multi-start simulated annealing

Developing a workflow to select representative reservoir models combining distance-based clustering and data assimilation for decision making process

A Design Process Integrating Human-Data Interaction Guidelines and Semio-Participatory Design

Advancements towards DFKN modelling: Incorporating fracture enlargement resulting from karstic dissolution in discrete fracture networks

Influence of well and gathering systems parameters on integrated petroleum reservoir and production system simulations

Applying a localization technique to Kalman Gain and assessing the influence on the variability of models in history matching

Application of risk-informed closed-loop field development workflow to elucidate the evolution of uncertainties

A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data

Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

An artificial intelligence method for improving upscaling in complex reservoirs

Methodology for data assimilation in reservoir and production system to improve short- and medium-term forecast

A three-way convolutional network to compare 4D seismic data and reservoir simulation models in different domains

Data assimilation for uncertainty reduction using different fidelity numerical models

A comparison of machine learning surrogate models for net present value prediction from well placement binary data

Modeling subsea gas-liquid separation using proxy for phase separation for pre-salt reservoirs with high GOR

Analysis of different objective functions in petroleum field development optimization

Improving coarse-scale simulation models with a dual-porosity dual-permeability upscaling technique and a near-well approach

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