Model selection for CO2 sequestration using surface deformation and injection data

Azor Nwachukwu, Baehyun Min, Sanjay Srinivasan

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Incorporating time-lapse observations from sources such as remote sensing and seismic is important for monitoring the migration of CO2 plumes in carbon capture and storage projects. Significant computational costs make it impractical to run coupled flow-geomechanical simulations for all plausible geologic scenarios in a prior ensemble. This study presents a model selection framework that integrates a fast approximator as a proxy to evaluate flow and geomechanical responses of geologic models. The proxy utilizes a particle tracking algorithm to mimic flow paths of injected CO2 within the geologic models. Pressure changes and rock deformation resulting from CO2 injection are estimated using a finite-element algorithm. The reliability of the proposed proxy is tested by comparing simulation and proxy results with regards to the shapes and extents of CO2 plumes, reservoir pressure, and vertical displacement at the top layer of a given reservoir. Models showing similar proxy responses are grouped into clusters by invoking multi-dimensional scaling followed by k-means clustering. A representative model of each cluster is selected, and its dynamic responses are evaluated by running flow-geomechanical simulations. The posterior ensemble consists of the models in the cluster whose representative conforms to given observation data. The proposed model selection approach is applied to history matching of a realistic channelized reservoir and a fractured reservoir inspired from In Salah, Algeria. The two case studies demonstrate that the incorporation of surface deformation data within model selection contributes to reduction in geologic uncertainty by improving the matching quality of well responses.

Original languageEnglish (US)
Pages (from-to)67-92
Number of pages26
JournalInternational Journal of Greenhouse Gas Control
Volume56
DOIs
StatePublished - Jan 1 2017

Fingerprint

carbon sequestration
Geologic models
Flow simulation
Carbon capture
plume
simulation
Dynamic response
Remote sensing
dynamic response
Rocks
Monitoring
remote sensing
Costs
carbon
monitoring
history
cost
rock

All Science Journal Classification (ASJC) codes

  • Pollution
  • Energy(all)
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law

Cite this

@article{ea57b7e8bfa2438e9500a80bbcfa8e1a,
title = "Model selection for CO2 sequestration using surface deformation and injection data",
abstract = "Incorporating time-lapse observations from sources such as remote sensing and seismic is important for monitoring the migration of CO2 plumes in carbon capture and storage projects. Significant computational costs make it impractical to run coupled flow-geomechanical simulations for all plausible geologic scenarios in a prior ensemble. This study presents a model selection framework that integrates a fast approximator as a proxy to evaluate flow and geomechanical responses of geologic models. The proxy utilizes a particle tracking algorithm to mimic flow paths of injected CO2 within the geologic models. Pressure changes and rock deformation resulting from CO2 injection are estimated using a finite-element algorithm. The reliability of the proposed proxy is tested by comparing simulation and proxy results with regards to the shapes and extents of CO2 plumes, reservoir pressure, and vertical displacement at the top layer of a given reservoir. Models showing similar proxy responses are grouped into clusters by invoking multi-dimensional scaling followed by k-means clustering. A representative model of each cluster is selected, and its dynamic responses are evaluated by running flow-geomechanical simulations. The posterior ensemble consists of the models in the cluster whose representative conforms to given observation data. The proposed model selection approach is applied to history matching of a realistic channelized reservoir and a fractured reservoir inspired from In Salah, Algeria. The two case studies demonstrate that the incorporation of surface deformation data within model selection contributes to reduction in geologic uncertainty by improving the matching quality of well responses.",
author = "Azor Nwachukwu and Baehyun Min and Sanjay Srinivasan",
year = "2017",
month = "1",
day = "1",
doi = "10.1016/j.ijggc.2016.11.019",
language = "English (US)",
volume = "56",
pages = "67--92",
journal = "International Journal of Greenhouse Gas Control",
issn = "1750-5836",
publisher = "Elsevier",

}

Model selection for CO2 sequestration using surface deformation and injection data. / Nwachukwu, Azor; Min, Baehyun; Srinivasan, Sanjay.

In: International Journal of Greenhouse Gas Control, Vol. 56, 01.01.2017, p. 67-92.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Model selection for CO2 sequestration using surface deformation and injection data

AU - Nwachukwu, Azor

AU - Min, Baehyun

AU - Srinivasan, Sanjay

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Incorporating time-lapse observations from sources such as remote sensing and seismic is important for monitoring the migration of CO2 plumes in carbon capture and storage projects. Significant computational costs make it impractical to run coupled flow-geomechanical simulations for all plausible geologic scenarios in a prior ensemble. This study presents a model selection framework that integrates a fast approximator as a proxy to evaluate flow and geomechanical responses of geologic models. The proxy utilizes a particle tracking algorithm to mimic flow paths of injected CO2 within the geologic models. Pressure changes and rock deformation resulting from CO2 injection are estimated using a finite-element algorithm. The reliability of the proposed proxy is tested by comparing simulation and proxy results with regards to the shapes and extents of CO2 plumes, reservoir pressure, and vertical displacement at the top layer of a given reservoir. Models showing similar proxy responses are grouped into clusters by invoking multi-dimensional scaling followed by k-means clustering. A representative model of each cluster is selected, and its dynamic responses are evaluated by running flow-geomechanical simulations. The posterior ensemble consists of the models in the cluster whose representative conforms to given observation data. The proposed model selection approach is applied to history matching of a realistic channelized reservoir and a fractured reservoir inspired from In Salah, Algeria. The two case studies demonstrate that the incorporation of surface deformation data within model selection contributes to reduction in geologic uncertainty by improving the matching quality of well responses.

AB - Incorporating time-lapse observations from sources such as remote sensing and seismic is important for monitoring the migration of CO2 plumes in carbon capture and storage projects. Significant computational costs make it impractical to run coupled flow-geomechanical simulations for all plausible geologic scenarios in a prior ensemble. This study presents a model selection framework that integrates a fast approximator as a proxy to evaluate flow and geomechanical responses of geologic models. The proxy utilizes a particle tracking algorithm to mimic flow paths of injected CO2 within the geologic models. Pressure changes and rock deformation resulting from CO2 injection are estimated using a finite-element algorithm. The reliability of the proposed proxy is tested by comparing simulation and proxy results with regards to the shapes and extents of CO2 plumes, reservoir pressure, and vertical displacement at the top layer of a given reservoir. Models showing similar proxy responses are grouped into clusters by invoking multi-dimensional scaling followed by k-means clustering. A representative model of each cluster is selected, and its dynamic responses are evaluated by running flow-geomechanical simulations. The posterior ensemble consists of the models in the cluster whose representative conforms to given observation data. The proposed model selection approach is applied to history matching of a realistic channelized reservoir and a fractured reservoir inspired from In Salah, Algeria. The two case studies demonstrate that the incorporation of surface deformation data within model selection contributes to reduction in geologic uncertainty by improving the matching quality of well responses.

UR - http://www.scopus.com/inward/record.url?scp=84997701834&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84997701834&partnerID=8YFLogxK

U2 - 10.1016/j.ijggc.2016.11.019

DO - 10.1016/j.ijggc.2016.11.019

M3 - Article

AN - SCOPUS:84997701834

VL - 56

SP - 67

EP - 92

JO - International Journal of Greenhouse Gas Control

JF - International Journal of Greenhouse Gas Control

SN - 1750-5836

ER -