Evaluation of rapid performance reservoir models for quantitative risk assessment-Reference-Cited by-同舟云学术

Evaluation of rapid performance reservoir models for quantitative risk assessment

Published:2014 Issue: Volume:63 Page:3425-3431
ISSN:1876-6102
Container-title:Energy Procedia
language:en
Short-container-title:Energy Procedia

Author:

Bromhal G.S.,Birkholzer J.,Mohaghegh S.D.,Sahinidis N.,Wainwright H.,Zhang Y.,Amini S.,Gholami V.,Zhang Yan,Shahkarami A.

Publisher

Elsevier BV

Reference14 articles.

1. US-DOE-NETL, The United States 2012 Carbon Utilization and Storage Atlas, Fourth Edition. 2012, U.S. Deparment of Energy - National Energy Technology Laboratory - Office of Fossil Energy.

2. Zhang, K.; Wu, Y.S.; Pruess, K. User's Guide for TOUGH2-MP – A Massively Parallel Version of the TOUGH2 Code; Report LBNL-315E; Lawrence Berkeley National Laboratory: Berkeley, CA, 2008.

3. A Sensitivity Study on Regional Pressure Buildup from Large-Scale CO2 Storage Projects;Birkholzer;Energy Procedia,2010

4. CO2CRC. 2008. Storage Capacity Estimation, Site Selection and Characterization for CO2 Storage Projects, CO2CRC Report No: RPT08-1001.

5. Amini, S. Surrogate Reservoir Model development for Otway Reservoir, NRAP TRS, in review.

Cited by 13 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. A bootstrap strategy to train, validate and test reduced order models of coupled geomechanical processes;Computers and Geotechnics;2024-03

2. Two‐phase flow behavior in CO₂ geological storage considering spatial parameter heterogeneity;Greenhouse Gases: Science and Technology;2023-12

3. Application of artificial intelligence to computational fluid dynamics;Advances in Subsurface Data Analytics;2022

4. A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO₂ sequestration accelerated with machine learning;APPL ENERG;2021

5. A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO2 sequestration accelerated with machine learning;Applied Energy;2021-04