Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach
暂无分享,去创建一个
Rajesh J. Pawar | Elizabeth H. Keating | Dylan R. Harp | Bailian Chen | Youzuo Lin | Youzuo Lin | E. Keating | R. Pawar | Bailian Chen | D. Harp
[1] Heng Li,et al. Efficient data‐worth analysis for the selection of surveillance operation in a geologic CO 2 sequestration system , 2015 .
[2] Changbing Yang,et al. Integrated Framework for Assessing Impacts of CO₂ Leakage on Groundwater Quality and Monitoring-Network Efficiency: Case Study at a CO₂ Enhanced Oil Recovery Site. , 2015, Environmental science & technology.
[3] Dean S. Oliver,et al. Evaluation of Monte Carlo Methods for Assessing Uncertainty , 2003 .
[4] Dongxiao Zhang,et al. Comprehensive review of caprock-sealing mechanisms for geologic carbon sequestration. , 2013, Environmental science & technology.
[5] Xinwei Liao,et al. The evaluation methods for CO2 storage in coal beds, in China , 2016 .
[6] Robert Balch,et al. Optimum design of CO 2 storage and oil recovery under geological uncertainty , 2017 .
[7] C. J. Seto,et al. Reducing risk in basin scale CO2 sequestration: a framework for integrated monitoring design. , 2011, Environmental science & technology.
[8] Bing Zhu,et al. Scenario analysis of CO2 emissions from China’s civil aviation industry through 2030 , 2016 .
[9] Duc Hung Le,et al. Optimal choice of a surveillance operation using information theory , 2014, Computational Geosciences.
[10] Mitchell J. Small,et al. Effectiveness of subsurface pressure monitoring for brine leakage detection in an uncertain CO2 sequestration system , 2014, Stochastic Environmental Research and Risk Assessment.
[11] Jason E. Heath,et al. Evaluation of CO2 Storage Mechanisms in CO2 Enhanced Oil Recovery Sites: Application to Morrow Sandstone Reservoir , 2016 .
[12] Rajesh J. Pawar,et al. Reduced order models for assessing CO 2 impacts in shallow unconfined aquifers , 2016 .
[13] Vasilije Manovic,et al. A review of developments in carbon dioxide storage , 2017 .
[14] J. Friedman. Multivariate adaptive regression splines , 1990 .
[15] Robin Petrusak,et al. Enhanced Gas Recovery and CO2 Storage in Gas Shales: A Summary Review of its Status and Potential , 2014 .
[16] Toby Aiken,et al. Geological storage of CO2 in saline aquifers—A review of the experience from existing storage operations , 2010 .
[17] Rajesh J. Pawar,et al. Effective detection of CO2 leakage: a comparison of groundwater sampling and pressure monitoring , 2014 .
[18] Hari S. Viswanathan,et al. An Integrated Framework for Optimizing CO2 Sequestration and Enhanced Oil Recovery , 2014 .
[19] Yunwei Sun,et al. Applicability of aquifer impact models to support decisions at CO2 sequestration sites , 2016 .
[20] Alberto Guadagnini,et al. Data-worth analysis through probabilistic collocation-based Ensemble Kalman Filter , 2016 .
[21] S. Sharma. Determinants of carbon dioxide emissions: Empirical evidence from 69 countries , 2011 .
[22] Albert C. Reynolds,et al. Combining the Ensemble Kalman Filter With Markov-Chain Monte Carlo for Improved History Matching and Uncertainty Characterization , 2012 .
[23] Jun Yao,et al. PARAMETER PREDICTION OF HYDRAULIC FRACTURE FOR TIGHT RESERVOIR BASED ON MICRO-SEISMIC AND HISTORY MATCHING , 2018 .
[24] Babak Shabani,et al. A fast and robust TOUGH2 module to simulate geological CO2 storage in saline aquifers , 2018, Comput. Geosci..
[25] Jui-Yuan Lee,et al. Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations , 2016 .
[26] H. Herzog,et al. Feasibility, modeling and economics of sequestering power plant CO2 emissions in the deep ocean , 1991 .
[27] James A. Sorensen,et al. Advancing CO2 enhanced oil recovery and storage in unconventional oil play—Experimental studies on Bakken shales , 2017 .
[28] Mitchell J. Small,et al. A Bayesian belief network (BBN) for combining evidence from multiple CO2 leak detection technologies , 2012 .
[29] Carl W. Gable,et al. Reduced order models of transient CO 2 and brine leakage along abandoned wellbores from geologic carbon sequestration reservoirs , 2016 .
[30] V. Hladik,et al. 3D geological model of potential CO2 storage: Abandoned oil and gas field LBr-1in the Vienna basin , 2017 .
[31] Albert C. Reynolds,et al. Ensemble smoother with multiple data assimilation , 2013, Comput. Geosci..
[32] Liang Zhang,et al. CO2 EOR and storage in Jilin oilfield China: Monitoring program and preliminary results , 2015 .
[33] Bo Ren,et al. Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China , 2016 .
[34] Jef Caers,et al. Modeling Uncertainty in the Earth Sciences , 2011 .
[35] Reza Barati,et al. Role of molecular diffusion in heterogeneous, naturally fractured shale reservoirs during CO2 huff-n-puff , 2018 .
[36] Xian-Huan Wen,et al. Uncertainty quantification and value of information assessment using proxies and Markov chain Monte Carlo method for a pilot project , 2017 .
[37] Jun Yao,et al. Assisted history matching for the inversion of fractures based on discrete fracture-matrix model with different combinations of inversion parameters , 2017, Computational Geosciences.
[38] Ning Liu,et al. Inverse Theory for Petroleum Reservoir Characterization and History Matching , 2008 .
[39] Albert C. Reynolds,et al. A Physics-Based Data-Driven Model for History Matching, Prediction, and Characterization of Waterflooding Performance , 2017 .
[40] Albert C. Reynolds,et al. Optimal control of ICV's and well operating conditions for the water-alternating-gas injection process , 2017 .
[41] R. Wilkin,et al. Geochemical impacts to groundwater from geologic carbon sequestration: controls on pH and inorganic carbon concentrations from reaction path and kinetic modeling. , 2010, Environmental science & technology.
[42] G. Evensen. Data Assimilation: The Ensemble Kalman Filter , 2006 .
[43] Curt Oldenburg,et al. Quantification of Key Long-term Risks at CO2 Sequestration Sites: Latest Results from US DOE's National Risk Assessment Partnership (NRAP) Project☆ , 2014 .
[44] Mitchell J. Small,et al. A Bayesian approach to CO2 leakage detection at saline sequestration sites using pressure measurements , 2014 .
[45] Zhenxue Dai,et al. Probabilistic evaluation of shallow groundwater resources at a hypothetical carbon sequestration site , 2014, Scientific Reports.
[46] Bailian Chen,et al. CO2 water-alternating-gas injection for enhanced oil recovery: Optimal well controls and half-cycle lengths , 2018, Comput. Chem. Eng..
[47] Alexander Y. Sun,et al. Optimal design of pressure-based, leakage detection monitoring networks for geologic carbon sequestration repositories , 2013 .
[48] Peter Viebahn,et al. Prospects of carbon capture and storage (CCS) in India’s power sector – An integrated assessment , 2014 .
[49] Curtis M. Oldenburg,et al. Quantification of Risk Profiles and Impacts of Uncertainties as part of US DOE's National Risk Assessment Partnership (NRAP) , 2013 .
[50] Ronald L. Iman. Latin Hypercube Sampling , 2008 .
[51] Anna Korre,et al. Recent advances in risk assessment and risk management of geologic CO2 storage , 2015 .
[52] Mitchell J. Small,et al. Probabilistic design of a near-surface CO2 leak detection system. , 2011, Environmental science & technology.
[53] C. J. Seto,et al. Reducing Risk in Basin Scale Sequestration: A Bayesian Model Selection Framework for Improving Detection , 2011 .
[54] Rajesh J. Pawar,et al. A response surface model to predict CO 2 and brine leakage along cemented wellbores , 2015 .
[55] K. Pearson. VII. Note on regression and inheritance in the case of two parents , 1895, Proceedings of the Royal Society of London.
[56] T. Compernolle,et al. Considering economic and geological uncertainty in the simulation of realistic investment decisions for CO2-EOR projects in the North Sea , 2017 .