Closed-loop field development with multipoint geostatistics and statistical performance assessment-Reference-Cited by-同舟云学术

Closed-loop field development with multipoint geostatistics and statistical performance assessment

Published:2019-08 Issue: Volume:390 Page:249-264
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Shirangi Mehrdad G.^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modelling and Simulation,Numerical Analysis

Reference49 articles.

1. Value of information in closed-loop reservoir management;Barros;Comput. Geosci.,2016

2. Optimization of concentration control by evolution strategies: formulation, application, and assessment of remedial solutions;Bayer;Water Resour. Res.,2007

3. Computationally efficient stochastic optimization using multiple realizations;Bayer;Adv. Water Resour.,2008

4. Optimization of high-reliability-based hydrological design problems by robust automatic sampling of critical model realizations;Bayer;Water Resour. Res.,2010

5. Joint optimization of oil well placement and controls;Bellout;Comput. Geosci.,2012

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Well Control Strategies with IDLHC-MLR: A Machine Learning Approach to Address Geological Uncertainties and Reduce Simulations;Day 2 Wed, October 25, 2023;2023-10-17

2. Reducing the Geological Uncertainty by History Matching;Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization;2023

3. Uncertainty Management in Reservoir Engineering;Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization;2023

4. 3-D tight sandstone gas outcrop simulation based on unmanned aerial vehicle oblique photography data— A case study from the Pingtouxiang outcrop in North Shanxi, China;Unconventional Resources;2023

5. Machine learning and data mining assisted petroleum reservoir engineering: a comprehensive review;International Journal of Oil, Gas and Coal Technology;2022