Numerical Simulations of Carbon Dioxide Storage Efficiency in Heterogeneous Reservoir Models

Journal Article · Fri Jun 02 00:00:00 EDT 2023 · Geofluids

DOI:https://doi.org/10.1155/2023/5089508· OSTI ID:1983520

Myshakin, Evgeniy M.  ^[1]; Haeri, Foad  ^[1]; Moore, Johnathan  ^[2]; Crandall, Dustin  ^[2]; Goodman, Angela L.  ^[2]; Cinti, ed., Daniele

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1. National Energy Technology Laboratory, 626 Cochran Mill Road, Pittsburgh, PA 15236, USA, NETL Support Contractor, 626 Cochran Mill Road, Pittsburgh, PA 15236, USA
2. National Energy Technology Laboratory, 626 Cochran Mill Road, Pittsburgh, PA 15236, USA

The U.S. Department of Energy’s National Energy Technology Laboratory (DOE-NETL) has been developing methods and tools (the online Carbon Dioxide Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) tool) to estimate carbon dioxide (CO2) storage potential in subsurface reservoirs. The CO2 storage efficiency terms are input in the tool to calculate storage potential in targeted reservoirs. In this effort, two CO2 storage efficiency terms were evaluated: volumetric displacement ( $E_V$ ) and microscopic displacement ( $E_d$ ). The first term deals with efficiency of CO2 propagation into an accessible reservoir volume, while the second term evaluates effectiveness of native fluid displacement with CO2. The interpreted well logs and core sample measurements were applied to create the heterogeneous reservoir models including geostatistical realizations of porosity and intrinsic permeability fields. Supercritical CO2 was injected over the course of 30 years into brine-saturated reservoir models for clastics, limestone, and dolomite lithologies and deltaic fluvial, aeolian, shallow marine, and reef depositional environments by means of varying reservoir parameters and injection scenarios. The reservoir models providing vertically heterogeneous petrophysical properties and designated as “layered reservoir models” (with homogeneous parameters along each layer of the model) were not determined to be a transition between the homogeneous and heterogeneous models in respect to storage efficiency. Another finding shows that high-efficiency factors do not necessarily mean increased CO2 storage; they rather indicate that the available volume and pore space are more fully utilized. The CO2 storage efficiency factors were evaluated dynamically at the select time points using $P_{10}‐P_{50}‐P_{90}$ percentiles. The results of this study show that the $P_{10}‐P_{90}$ distribution for volumetric efficiency is wider when compared to the microscopic efficiency. It was found that where dominant buoyancy forces drive the plume to the top of a target formation, the volumetric efficiency is low. Tighter sandstone and carbonate formations show prevalence of capillary forces and better utilization of reservoir volume.

• Sponsoring Organization: USDOE
• OSTI ID: 1983520
• Journal Information: Geofluids, Journal Name: Geofluids Vol. 2023; ISSN 1468-8115
• Publisher: Hindawi Publishing Corporation
• Country of Publication: Canada
• Language: English