Reduced Order Modelling for Estimating CO2 Storage and Enhanced Coalbed Methane of Unconventional Coal Seam Reservoirs

10 Pages Posted: 15 Apr 2019 Last revised: 14 May 2019

See all articles by Ryan Kammer

Ryan Kammer

Indiana University

Kevin Ellett

affiliation not provided to SSRN

Richard Middleton

Government of the United States of America - Los Alamos National Laboratory

Date Written: October 21, 2018

Abstract

Carbon capture, utilization, and storage (CCUS) is a promising technology for mitigating climate change while providing opportunities for the continued use of traditional fuel sources. While difficulties remain for employing carbon capture technologies at a competitive cost, the injection of carbon dioxide (CO2) into underground storage reservoirs is a well-understood process. Still, continuing the development of resource storage estimates for methane (CH4) production and CO2 storage in hydrocarbon reservoirs at a regional scale is an important aspect for incentivizing industrial-scale implementation of CCUS technologies.

There are multiple methods for developing CO2 storage and utilization resource estimates with varying degrees of uncertainty. Although static volumetric models can provide quick reservoir estimates, they necessarily include high levels of uncertainty. On the other side of the spectrum, dynamic reservoir simulations can reduce the uncertainty but require significant resources of time and data that may not be available. The Sequestration of CO2 Tool for Enhanced Coalbed Methane (SCO2T-ECBM), a reduced-order model developed in this study, utilizes sensitivity and uncertainty analyses of dynamic reservoir simulations to generate proxy models for estimating both CO2 storage and enhanced coalbed methane (ECBM) resources in unconventional coal seam reservoirs.

We compare CO2 storage and utilization resource estimates from SCO2T-ECBM with regional estimates from static, volumetric models. The results indicate that static models may be overly optimistic, particularly in the mid- and high-range estimates. This result is consistent with other studies that have compared static estimates with dynamic simulations, and may suggest a re-evaluation of CO2 storage and utilization resource estimates is needed. SCO2T-ECBM has promise as a useful tool in generating CO2 storage and utilization resource estimates to aid in the deployment of CCUS technology.

Keywords: Carbon capture utilization and storage, enhanced coalbed methane, resource storage estimates, CO2 for enhanced hydrocarbon recovery, GHGT-14

Suggested Citation

Kammer, Ryan and Ellett, Kevin and Middleton, Richard, Reduced Order Modelling for Estimating CO2 Storage and Enhanced Coalbed Methane of Unconventional Coal Seam Reservoirs (October 21, 2018). 14th Greenhouse Gas Control Technologies Conference Melbourne 21-26 October 2018 (GHGT-14) . Available at SSRN: https://ssrn.com/abstract=3366355

Ryan Kammer (Contact Author)

Indiana University ( email )

107 S Indiana Ave
100 South Woodlawn
Bloomington, IN 47405
United States

Kevin Ellett

affiliation not provided to SSRN

No Address Available

Richard Middleton

Government of the United States of America - Los Alamos National Laboratory ( email )

Los Alamos, NM 87545
United States

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