A. Emerick

发表

Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications

A. Reynolds, A. Emerick, 2011 .

History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations

A. Reynolds, A. Emerick, 2012, Computational Geosciences.

Analysis of geometric selection of the data-error covariance inflation for ES-MDA

A. Emerick, 2018, Journal of Petroleum Science and Engineering.

An improved TSVD-based Levenberg–Marquardt algorithm for history matching and comparison with Gauss–Newton

Alexandre A. Emerick, Mehrdad G. Shirangi, A. Emerick, 2016 .

Data assimilation of a legacy 4D seismic in a brown field

A. Emerick, F. Moraes, Diego Vale da Nóbrega, 2018, Journal of Geophysics and Engineering.

Towards a hierarchical parametrization to address prior uncertainty in ensemble-based data assimilation

A. Emerick, 2016, Computational Geosciences.

Multi-Scale Ensemble-Based Data Assimilation for Reservoir Characterization and Production Forecast: Application to a Real Field

Alessandra Silva Anyzewski, A. Emerick, Théophile Gentilhomme, 2017 .

Proactive and Reactive Strategies for Optimal Operational Design: An Application in Smart Wells

Marco Aurélio Cavalcanti Pacheco, William J. Bailey, André Carlos Bertolini, 2015 .

The Marlim Field: Incorporating Time-Lapse Seismic in the Assisted History Matching

Alexandre A. Emerick, Rafael Moraes, A. Emerick, 2010 .

Estimation of pressure and saturation fields from time-lapse impedance data using the ensemble smoother

Alexandre A. Emerick, A. Emerick, 2014 .

History Matching a Field Case Using the Ensemble Kalman Filter with Covariance Localization

Albert C. Reynolds, Alexandre A. Emerick, A. Reynolds, 2011, ANSS 2011.

Investigation of the sampling performance of ensemble-based methods with a simple reservoir model

Albert C. Reynolds, Alexandre A. Emerick, A. Reynolds, 2013, Computational Geosciences.

Overview Of The Olympus Field Development Optimization Challenge

J. Jansen, A. Emerick, E. D. Rossa, 2018, ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery.

Ensemble smoother with multiple data assimilation

Albert C. Reynolds, Alexandre A. Emerick, A. Reynolds, 2013, Comput. Geosci..

Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother

Marco Aurélio Cavalcanti Pacheco, Alexandre A. Emerick, Smith W. A. Canchumuni, 2018, Comput. Geosci..

Uncertainty quantification in reservoir simulation models with polynomial chaos expansions: Smolyak quadrature and regression method approach

Marco Aurélio Cavalcanti Pacheco, Alvaro Talavera, Alexandre A. Emerick, 2017 .

Methods to mitigate loss of variance due to sampling errors in ensemble data assimilation with non-local model parameters

Alexandre A. Emerick, Adolfo Puime Pires, Johann M. Lacerda, 2019, Journal of Petroleum Science and Engineering.

Data-space inversion with ensemble smoother

Alexandre A. Emerick, Mateus M. Lima, Carlos E. P. Ortiz, 2019, Computational Geosciences.

History matching geological facies models based on ensemble smoother and deep generative models

Marco Aurélio Cavalcanti Pacheco, Alexandre A. Emerick, Smith W. A. Canchumuni, 2019, Journal of Petroleum Science and Engineering.

History matching and production optimization under uncertainties – Application of closed-loop reservoir management

Paulo Couto, Alexandre A. Emerick, Vinícius Luiz Santos Silva, 2017 .

Estimating uncertainty bounds in field production using ensemble-based methods

Alexandre A. Emerick, A. Emerick, 2016 .

Well Placement Optimization Using a Genetic Algorithm With Nonlinear Constraints

Dilza Szwarcman, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, 2009 .

A decision support approach to value flexibility considering uncertainty and future information

Richard Booth, Marco Aurélio Cavalcanti Pacheco, William J. Bailey, 2018, Journal of Petroleum Science and Engineering.

Recent developments combining ensemble smoother and deep generative networks for facies history matching

J. D. B. Castro, A. Emerick, M. Pacheco, 2020, Computational Geosciences.

History Matching Channelized Facies Models Using Ensemble Smoother With A Deep Learning Parameterization

Marco Aurélio Cavalcanti Pacheco, Alexandre A. Emerick, Smith W. A. Canchumuni, 2018, ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery.

Integration of Ensemble Data Assimilation and Deep Learning for History Matching Facies Models

Marco Aurélio Cavalcanti Pacheco, Alexandre A. Emerick, A. Emerick, 2017 .

History-Matching Production and Seismic Data in a Real Field Case Using the Ensemble Smoother With Multiple Data Assimilation

Albert C. Reynolds, Albert C. Reynolds, Alexandre A. Emerick, 2013, ANSS 2013.

Deep Feature Extraction for Data Assimilation with Ensemble Smoother

A. Emerick, M. Roisenberg, G. M. S. Neto, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Investigation on Principal Component Analysis Parameterizations for History Matching Channelized Facies Models with Ensemble-Based Data Assimilation

Alexandre A. Emerick, A. Emerick, 2016, Mathematical Geosciences.

An Adaptive Ensemble Smoother with Multiple Data Assimilation for Assisted History Matching

Duc H. Le, Albert C. Reynolds, Alexandre A. Emerick, 2015, ANSS 2015.

Deterministic ensemble smoother with multiple data assimilation as an alternative for history-matching seismic data

Alexandre A. Emerick, A. Emerick, 2018, Computational Geosciences.