GSA Annual Meeting in Indianapolis, Indiana, USA - 2018

Paper No. 205-5
Presentation Time: 2:35 PM


KAMMER, Ryan, Indiana Geological and Water Survey, Indiana University, 611 N Walnut Grove St, Bloomington, IN 47405, ELLETT, Kevin, Indiana Geological and Water Survey, Indiana University, 611 North Walnut Grove Street, Bloomington, IN 47405, MIDDLETON, Richard S., Earth and Environmental Sciences, Los Alamos National Laboratory, PO Box 1663, MS D452, Los Alamos, NM 87545 and KOROSE, Chris, Illinois State Geological Survey, 615 E Peabody Drive, Champaign, IL 61820

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 process of injecting CO2 into underground storage reservoirs is well understood. Still, the development of resource storage estimates for CH4 production and CO2 storage in hydrocarbon reservoirs at a regional scale is important for incentivizing industrial-scale implementation of CCUS technologies.

There are multiple methods for developing resource storage estimates with varying degrees of uncertainty. While static volumetric models can provide quick reservoir estimates, they necessarily include high uncertainty. Alternatively, dynamic reservoir simulations can reduce uncertainty, but require large amounts of time and data that may not be available. The reduced-order model developed in this study, SCO2T-ECBM, utilizes sensitivity and uncertainty analyses of dynamic reservoir simulations to generate proxy models for enhanced coalbed methane (ECBM) resource storage estimates. The parameters used in SCO2T-ECBM have been limited to those most likely available at a regional scale: depth, thickness, fracture porosity, fracture permeability, fracture water saturation, and injection rate.

Storage and utilization resource estimates from SCO2T-ECBM indicate that static volumetric models may be overly optimistic, particularly in mid- and high-estimates provided by static models. This result is consistent with other studies that have compared static estimates with dynamic simulations and may suggest a reevaluation of regional CO2 storage and utilization resource estimates, particularly when considering ECBM opportunities. Moving forward, SCO2T-ECBM can be a useful tool in generating CO2 storage and utilization resource estimates in unconventional reservoirs to aid in the deployment of CCUS technology.