Albert C. Reynolds

Ocean Engineering · 2007–2020

A researcher in the Science corpus: 14 papers; trusts 31 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Ocean Engineering — 28 citations into it; #80 of 3,193 by trust here, #172 by citations
• Atmospheric Science — 24 citations into it
• Mechanical Engineering — 21 citations into it; #227 of 8,300 by trust here, #2,209 by citations
• Global and Planetary Change — 18 citations into it
• Optimization & Training — 13 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Environmental Engineering — 8 citations into it; #3,704 of 5,479 by trust here, #4,694 by citations
• Artificial Intelligence — 6 citations into it

Whom Albert C. Reynolds trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geir Evensen
2. Yan Chen
3. Dean S. Oliver
4. Jeffrey L. Anderson
5. Tim Hesterberg
6. P. Houtekamer
7. L. Y. Hu
8. Gaoming Li
9. James C. Spall
10. Alexandre Anozé Emerick

Who trusts Albert C. Reynolds overall

1. Yan Chen
2. Alexandre Anozé Emerick
3. Dean S. Oliver
4. Thomas Donald Humphries
5. Sy T. Do
6. Louis J. Durlofsky
7. Jan Dirk Jansen
8. Xiaodong Luo
9. Ahmed H. Elsheikh
10. Wenyue Sun

Papers from Albert C. Reynolds's perspective

Ordered by how strongly the researchers Albert C. Reynolds trusts endorse each paper. Same corpus, a different order for every researcher.

1. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
2. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
3. Ensemble Data Assimilation without Perturbed Observations
4. Hydrologic Data Assimilation with the Ensemble Kalman Filter
5. An Ensemble Adjustment Kalman Filter for Data Assimilation
6. Sequential Data Assimilation Techniques in Oceanography
7. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
8. The Ensemble Kalman Filter: theoretical formulation and practical implementation
9. Relation between two common localisation methods for the EnKF
10. Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants

Their papers

• A Sequential-Quadratic-Programming-Filter Algorithm with a Modified Stochastic Gradient for Robust Life-Cycle Optimization Problems with Nonlinear State Constraints (2020) — 53 citations
• Gradient-Enhanced Support Vector Regression for Robust Life-Cycle Production Optimization with Nonlinear-State Constraints (2020) — 47 citations
• A Stochastic Simplex Approximate Gradient (StoSAG) for optimization under uncertainty (2017) — 174 citations
• Gradient-based multi-objective optimization with applications to waterflooding optimization (2016) — 50 citations
• Joint optimization of number of wells, well locations and controls using a gradient-based algorithm (2014) — 63 citations
• Ensemble smoother with multiple data assimilation (2013) — 871 citations
• Theoretical connections between optimization algorithms based on an approximate gradient (2013) — 86 citations
• History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations (2012) — 210 citations
• Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications (2011) — 95 citations
• Uncertainty quantification of reservoir performance predictions using a stochastic optimization algorithm (2011) — 59 citations
• Optimal well placement using an adjoint gradient (2010) — 67 citations
• Closed-loop reservoir management on the Brugge test case (2010) — 113 citations
• Inverse Theory for Petroleum Reservoir Characterization and History Matching (2008) — 737 citations
• Simultaneous Estimation of Relative Permeability and Porosity/Permeability Fields by History Matching Production Data (2007) — 51 citations