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Title: Optimized, Budget-constrained Monitoring Well Placement Using DREAM

Abstract

Defining the ideal suite of monitoring technologies to be deployed at a carbon capture and storage (CCS) site presents a challenge to project developers, financers, insurers, regulators and other stakeholders. The monitoring, verification, and accounting (MVA) toolkit offers a suite of technologies to monitor an extensive range of parameters across a wide span of spatial and temporal resolutions, each with their own degree of sensitivity to changes in the parameter being monitored. Understanding how best to optimize MVA budgets to minimize the time to leak detection could help to address issues around project risks, and in turn help support broad CCS deployment. This paper presents a case study demonstrating an application of the Designs for Risk Evaluation and Management (DREAM) tool using an ensemble of CO2 leakage scenarios taken from a previous study on leakage impacts to groundwater. Impacts were assessed and monitored as a function of pH, total dissolved solids (TDS), and trace metal concentrations of arsenic (As), cadmium (Cd), chromium (Cr), and lead (Pb). Using output from the previous study, DREAM was used to optimize monitoring system designs based on variable sampling locations and parameters. The algorithm requires the user to define a finite budget to limit themore » number of monitoring wells and technologies deployed, and then iterates well placement and sensor type and location until it converges on the configuration with the lowest time to first detection of the leak averaged across all scenarios. To facilitate an understanding of the optimal number of sampling wells, DREAM was used to assess the marginal utility of additional sampling locations. Based on assumptions about monitoring costs and replacement costs of degraded water, the incremental cost of each additional sampling well can be compared against its marginal value in terms of avoided aquifer degradation. Applying this method, DREAM identified the most cost-effective ensemble with 14 monitoring locations. Here, while this preliminary study applied relatively simplistic cost and technology assumptions, it provides an exciting proof-of-concept for the application of DREAM to questions of cost-optimized MVA system design that are informed not only by site-specific costs and technology options, but also by reservoir simulation results developed during site characterization and operation.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1390445
Report Number(s):
PNNL-SA-121523
Journal ID: ISSN 1876-6102; AA7020000
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Energy Procedia (Online)
Additional Journal Information:
Journal Name: Energy Procedia (Online); Journal Volume: 114; Journal Issue: C; Journal ID: ISSN 1876-6102
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 47 OTHER INSTRUMENTATION

Citation Formats

Yonkofski, Catherine M. R., Davidson, Casie L., Rodriguez, Luke R., Porter, Ellen A., Bender, Sadie R., and Brown, Christopher F. Optimized, Budget-constrained Monitoring Well Placement Using DREAM. United States: N. p., 2017. Web. doi:10.1016/j.egypro.2017.03.1496.
Yonkofski, Catherine M. R., Davidson, Casie L., Rodriguez, Luke R., Porter, Ellen A., Bender, Sadie R., & Brown, Christopher F. Optimized, Budget-constrained Monitoring Well Placement Using DREAM. United States. https://doi.org/10.1016/j.egypro.2017.03.1496
Yonkofski, Catherine M. R., Davidson, Casie L., Rodriguez, Luke R., Porter, Ellen A., Bender, Sadie R., and Brown, Christopher F. Fri . "Optimized, Budget-constrained Monitoring Well Placement Using DREAM". United States. https://doi.org/10.1016/j.egypro.2017.03.1496. https://www.osti.gov/servlets/purl/1390445.
@article{osti_1390445,
title = {Optimized, Budget-constrained Monitoring Well Placement Using DREAM},
author = {Yonkofski, Catherine M. R. and Davidson, Casie L. and Rodriguez, Luke R. and Porter, Ellen A. and Bender, Sadie R. and Brown, Christopher F.},
abstractNote = {Defining the ideal suite of monitoring technologies to be deployed at a carbon capture and storage (CCS) site presents a challenge to project developers, financers, insurers, regulators and other stakeholders. The monitoring, verification, and accounting (MVA) toolkit offers a suite of technologies to monitor an extensive range of parameters across a wide span of spatial and temporal resolutions, each with their own degree of sensitivity to changes in the parameter being monitored. Understanding how best to optimize MVA budgets to minimize the time to leak detection could help to address issues around project risks, and in turn help support broad CCS deployment. This paper presents a case study demonstrating an application of the Designs for Risk Evaluation and Management (DREAM) tool using an ensemble of CO2 leakage scenarios taken from a previous study on leakage impacts to groundwater. Impacts were assessed and monitored as a function of pH, total dissolved solids (TDS), and trace metal concentrations of arsenic (As), cadmium (Cd), chromium (Cr), and lead (Pb). Using output from the previous study, DREAM was used to optimize monitoring system designs based on variable sampling locations and parameters. The algorithm requires the user to define a finite budget to limit the number of monitoring wells and technologies deployed, and then iterates well placement and sensor type and location until it converges on the configuration with the lowest time to first detection of the leak averaged across all scenarios. To facilitate an understanding of the optimal number of sampling wells, DREAM was used to assess the marginal utility of additional sampling locations. Based on assumptions about monitoring costs and replacement costs of degraded water, the incremental cost of each additional sampling well can be compared against its marginal value in terms of avoided aquifer degradation. Applying this method, DREAM identified the most cost-effective ensemble with 14 monitoring locations. Here, while this preliminary study applied relatively simplistic cost and technology assumptions, it provides an exciting proof-of-concept for the application of DREAM to questions of cost-optimized MVA system design that are informed not only by site-specific costs and technology options, but also by reservoir simulation results developed during site characterization and operation.},
doi = {10.1016/j.egypro.2017.03.1496},
journal = {Energy Procedia (Online)},
number = C,
volume = 114,
place = {United States},
year = {Fri Aug 18 00:00:00 EDT 2017},
month = {Fri Aug 18 00:00:00 EDT 2017}
}

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Works referenced in this record:

Assessing relative importance and mutual influence of barriers for CCS deployment of the ROAD project using AHP and DEMATEL methods
journal, October 2015

  • Sara, Juliana; Stikkelman, Rob M.; Herder, Paulien M.
  • International Journal of Greenhouse Gas Control, Vol. 41
  • DOI: 10.1016/j.ijggc.2015.07.008

Application of a Risk-Based Probabilistic Model (CCSvt Model) to Value Potential Risks Arising from Carbon Capture and Storage
journal, January 2014


The state of the art in monitoring and verification—Ten years on
journal, September 2015

  • Jenkins, Charles; Chadwick, Andy; Hovorka, Susan D.
  • International Journal of Greenhouse Gas Control, Vol. 40
  • DOI: 10.1016/j.ijggc.2015.05.009

An optimization approach to design monitoring schemes for CO2 leakage detection
journal, April 2016

  • Yonkofski, Catherine M. R.; Gastelum, Jason A.; Porter, Ellen A.
  • International Journal of Greenhouse Gas Control, Vol. 47
  • DOI: 10.1016/j.ijggc.2016.01.040

Key factors for determining groundwater impacts due to leakage from geologic carbon sequestration reservoirs
journal, October 2014

  • Carroll, Susan A.; Keating, Elizabeth; Mansoor, Kayyum
  • International Journal of Greenhouse Gas Control, Vol. 29
  • DOI: 10.1016/j.ijggc.2014.07.007