Ensemble smoother with multiple data assimilation AA Emerick, AC Reynolds Computers & Geosciences 55, 3-15, 2013 | 1004 | 2013 |
History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations AA Emerick, AC Reynolds Computational Geosciences 16, 639-659, 2012 | 272 | 2012 |
Well placement optimization using a genetic algorithm with nonlinear constraints AA Emerick, E Silva, B Messer | 244 | 2009 |
Investigation of the sampling performance of ensemble-based methods with a simple reservoir model AA Emerick, AC Reynolds Computational Geosciences 17, 325-350, 2013 | 211 | 2013 |
Analysis of the performance of ensemble-based assimilation of production and seismic data AA Emerick Journal of Petroleum Science and Engineering 139, 219-239, 2016 | 163 | 2016 |
Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother SWA Canchumuni, AA Emerick, MAC Pacheco Computers & Geosciences 128, 87-102, 2019 | 154 | 2019 |
Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications A Emerick, A Reynolds Computational Geosciences 15, 251-269, 2011 | 133 | 2011 |
History-matching production and seismic data in a real field case using the ensemble smoother with multiple data assimilation AA Emerick, AC Reynolds SPE Reservoir Simulation Conference?, SPE-163675-MS, 2013 | 118 | 2013 |
An adaptive ensemble smoother with multiple data assimilation for assisted history matching DH Le, AA Emerick, AC Reynolds Spe Journal 21 (06), 2195-2207, 2016 | 111 | 2016 |
Combining the ensemble Kalman filter with Markov chain Monte Carlo for improved history matching and uncertainty characterization AA Emerick, AC Reynolds SPE Reservoir Simulation Conference?, SPE-141336-MS, 2011 | 95 | 2011 |
Projeto e execução de lajes protendidas AA Emerick Interciência, 2005 | 83 | 2005 |
History matching a field case using the ensemble Kalman filter with covariance localization AA Emerick, AC Reynolds SPE Reservoir Evaluation & Engineering 14 (04), 443-452, 2011 | 78 | 2011 |
An improved TSVD-based Levenberg–Marquardt algorithm for history matching and comparison with Gauss–Newton MG Shirangi, AA Emerick Journal of Petroleum Science and Engineering 143, 258-271, 2016 | 74 | 2016 |
History matching geological facies models based on ensemble smoother and deep generative models SWA Canchumuni, AA Emerick, MAC Pacheco Journal of Petroleum Science and Engineering 177, 941-958, 2019 | 70 | 2019 |
Recent developments combining ensemble smoother and deep generative networks for facies history matching SWA Canchumuni, JDB Castro, J Potratz, AA Emerick, MAC Pacheco Computational Geosciences 25, 433-466, 2021 | 64 | 2021 |
Overview of the olympus field development optimization challenge RM Fonseca, E Della Rossa, AA Emerick, RG Hanea, JD Jansen ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018 | 64 | 2018 |
Integration of ensemble data assimilation and deep learning for history matching facies models SA Canchumuni, AA Emerick, MA Pacheco Offshore Technology Conference Brasil, D011S006R005, 2017 | 64 | 2017 |
Production optimization with intelligent wells AA Emerick, RCM Portella SPE Latin America and Caribbean Petroleum Engineering Conference, SPE-107261-MS, 2007 | 56 | 2007 |
Investigation on principal component analysis parameterizations for history matching channelized facies models with ensemble-based data assimilation AA Emerick Mathematical Geosciences 49 (1), 85-120, 2017 | 53 | 2017 |
History matching and production optimization under uncertainties–Application of closed-loop reservoir management VLS Silva, AA Emerick, P Couto, JLD Alves Journal of Petroleum Science and Engineering 157, 860-874, 2017 | 50 | 2017 |