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Title: Recovery Act: Multi-Objective Optimization Approaches for the Design of Carbon Geological Sequestration Systems

Abstract

The main objective of this project is to provide training opportunities for two graduate students in order to improve the human capital and skills required for implementing and deploying carbon capture and sequestration (CCS) technologies. The graduate student effort will be geared towards the formulation and implementation of an integrated simulation-optimization framework to provide a rigorous scientific support to the design CCS systems that, for any given site: (a) maximize the amount of carbon storage; (b) minimize the total cost associated with the CCS project; (c) minimize the risk of CO2 upward leakage from injected formations. The framework will stem from a combination of data obtained from geophysical investigations, a multiphase flow model, and a stochastic multi-objective optimization algorithm. The methodology will rely on a geostatistical approach to generate ensembles of scenarios of the parameters that are expected to have large sensitivities and uncertainties on the model response and thus on the risk assessment, in particular the permeability properties of the injected formation and its cap rock. The safety theme will be addressed quantitatively by including the risk of CO2 upward leakage from the injected formations as one the objectives that should be minimized in the optimization problem. The researchmore » performed under this grant is significant to academic researchers and professionals weighing the benefits, costs, and risks of CO2 sequestration. Project managers in initial planning stages of CCS projects will be able to generate optimal tradeoff surfaces and with corresponding injection plans for potential sequestration sites leading to cost efficient preliminary project planning. In addition, uncertainties concerning CCS have been researched. Uncertainty topics included Uncertainty Analysis of Continuity of Geological Confining Units using Categorical Indicator Kriging (CIK) and the Influence of Uncertain Parameters on the Leakage of CO2 to Overlying Formations. Reductions in uncertainty will lead to safer CCS projects.« less

Authors:
Publication Date:
Research Org.:
Colorado State Univ., Fort Collins, CO (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1097612
DOE Contract Number:  
FE0001830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Bau, Domenico. Recovery Act: Multi-Objective Optimization Approaches for the Design of Carbon Geological Sequestration Systems. United States: N. p., 2013. Web. doi:10.2172/1097612.
Bau, Domenico. Recovery Act: Multi-Objective Optimization Approaches for the Design of Carbon Geological Sequestration Systems. United States. https://doi.org/10.2172/1097612
Bau, Domenico. 2013. "Recovery Act: Multi-Objective Optimization Approaches for the Design of Carbon Geological Sequestration Systems". United States. https://doi.org/10.2172/1097612. https://www.osti.gov/servlets/purl/1097612.
@article{osti_1097612,
title = {Recovery Act: Multi-Objective Optimization Approaches for the Design of Carbon Geological Sequestration Systems},
author = {Bau, Domenico},
abstractNote = {The main objective of this project is to provide training opportunities for two graduate students in order to improve the human capital and skills required for implementing and deploying carbon capture and sequestration (CCS) technologies. The graduate student effort will be geared towards the formulation and implementation of an integrated simulation-optimization framework to provide a rigorous scientific support to the design CCS systems that, for any given site: (a) maximize the amount of carbon storage; (b) minimize the total cost associated with the CCS project; (c) minimize the risk of CO2 upward leakage from injected formations. The framework will stem from a combination of data obtained from geophysical investigations, a multiphase flow model, and a stochastic multi-objective optimization algorithm. The methodology will rely on a geostatistical approach to generate ensembles of scenarios of the parameters that are expected to have large sensitivities and uncertainties on the model response and thus on the risk assessment, in particular the permeability properties of the injected formation and its cap rock. The safety theme will be addressed quantitatively by including the risk of CO2 upward leakage from the injected formations as one the objectives that should be minimized in the optimization problem. The research performed under this grant is significant to academic researchers and professionals weighing the benefits, costs, and risks of CO2 sequestration. Project managers in initial planning stages of CCS projects will be able to generate optimal tradeoff surfaces and with corresponding injection plans for potential sequestration sites leading to cost efficient preliminary project planning. In addition, uncertainties concerning CCS have been researched. Uncertainty topics included Uncertainty Analysis of Continuity of Geological Confining Units using Categorical Indicator Kriging (CIK) and the Influence of Uncertain Parameters on the Leakage of CO2 to Overlying Formations. Reductions in uncertainty will lead to safer CCS projects.},
doi = {10.2172/1097612},
url = {https://www.osti.gov/biblio/1097612}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 31 00:00:00 EDT 2013},
month = {Fri May 31 00:00:00 EDT 2013}
}