Risk-based Monitoring Network Design for Geologic Carbon Storage Sites

[1]  M. Small,et al.  Toward an adaptive monitoring design for leakage risk – Closing the loop of monitoring and modeling , 2018, International Journal of Greenhouse Gas Control.

[2]  Wolfgang Nowak,et al.  Optimization for Early-Warning Monitoring Networks in Well Catchments Should Be Multi-objective, Risk-Prioritized and Robust Against Uncertainty , 2016, Transport in Porous Media.

[3]  Anna Korre,et al.  Recent advances in risk assessment and risk management of geologic CO2 storage , 2015 .

[4]  Ow,et al.  Drinking Water Contaminants – Standards and Regulations , 2015 .

[5]  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.

[6]  Mitchell J. Small,et al.  A Bayesian approach to CO2 leakage detection at saline sequestration sites using pressure measurements , 2014 .

[7]  Zhenxue Dai,et al.  Probabilistic evaluation of shallow groundwater resources at a hypothetical carbon sequestration site , 2014, Scientific Reports.

[8]  S. Carroll,et al.  The Role of Wellbore Remediation on the Evolution of Groundwater Quality from CO2 and Brine Leakage , 2014 .

[9]  Rajesh J. Pawar,et al.  Effective detection of CO2 leakage: a comparison of groundwater sampling and pressure monitoring , 2014 .

[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]  Alexander Y. Sun,et al.  Optimal design of pressure-based, leakage detection monitoring networks for geologic carbon sequestration repositories , 2013 .

[12]  Christopher F. Brown,et al.  No-Impact Threshold Values for NRAP's Reduced Order Models , 2013 .

[13]  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 .

[14]  Mitchell J. Small,et al.  A Bayesian belief network (BBN) for combining evidence from multiple CO2 leak detection technologies , 2012 .

[15]  S. Hovorka.  In quest of robust and commercial CO2 monitoring , 2012 .

[16]  Y. Hao,et al.  Overview of NUFT: A Versatile Numerical Model for Simulating Flow and Reactive Transport in Porous Media , 2012 .

[17]  Mitchell J. Small,et al.  Probabilistic design of a near-surface CO2 leak detection system. , 2011, Environmental science & technology.

[18]  C. J. Seto,et al.  Reducing risk in basin scale CO2 sequestration: a framework for integrated monitoring design. , 2011, Environmental science & technology.

[19]  Hari S Viswanathan,et al.  A system model for geologic sequestration of carbon dioxide. , 2009, Environmental science & technology.

[20]  D. J. Brus,et al.  Sampling for Natural Resource Monitoring , 2006 .

[21]  Patrick M. Reed,et al.  Striking the Balance: Long-Term Groundwater Monitoring Design for Conflicting Objectives , 2004 .

[22]  D. Litke.  Historical water-quality data for the High Plains Regional Ground-Water Study Area in Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, 1930-98 , 2001 .

[23]  J. Eheart,et al.  Monitoring network design to provide initial detection of groundwater contamination , 1994 .