To date, no integrated characterization and predictive modeling workflow has been proposed to optimize Geothermal Battery Energy Storage (GBES) systems in sedimentary formations. Of particular concern is the near wellbore formation integrity of GBES systems that are subject to Thermal-Hydraulic-Mechanical-Chemical (THMC) loading conditions: during injection, storage, and production cycles. If operational parameters of GBES Systems are not optimized with data unique to sedimentary formations, near wellbore formation integrity issues can lead to reduced heat output and significantly delay commercialization targets. Formation integrity issues can cause wellbore instabilities, flow anomalies, injection/production problems, excessive horse-power requirements and even equipment breakdown. To optimize GBES systems in sedimentary formations and to avoid near wellbore formation integrity issues, this project proposes to develop an integrated characterization and coupled modeling workflow. The workflow will consider key THMC characteristics of sedimentary formations within the framework of coupled analytical and numerical models. Results will identify impact of formation and operational parameters on near wellbore formation integrity and wellbore operability limits. Based on the modeling results, we will demonstrate the feasibility of optimizing operational parameters while minimizing potential formation damage to maximize the heat output from GBES systems. The growth of the global thermal energy storage market is backed by increasing demand for electricity during peak hours, increasing commercialization of Concentrated Solar Power (CSP) plants, and demand for heating & cooling applications for residential, industrial and infrastructure structures. The economic viability of GBES systems still depends heavily on operational constraints, including the number and frequency of storage cycles while maintaining the formation integrity and a healthy energy output. This project will result in a new, marketable, integrated characterization and modeling workflow to optimize GBES operations in sedimentary formations. Optimized GBES systems represent a flexible and in-demand energy storage asset class that, when paired with grid-scale intermittent renewable facilities, have the potential to disrupt current renewable energy markets and empower a rapid shift to net-zero in our energy generation infrastructure. This proposal targets optimization of operational parameters (including characteristics of storage cycles) to minimize and mitigate near wellbore risks associated with GBES system operations. Phase-II involves a collaboration with our commercial partner EarthBridge Energy LLC to further advance Phase I characterization and modeling workflows during and after a field demonstration of their GeoBatteryTM. Phase-III involves developing a commercial software product which allows non-specialists to run coupled THMC models, democratizing the use of high-end modeling technology within a wider user base. The software will be marketed to address the needs of GBES as well as other subsurface storge industries e.g., carbon and hydrogen storage.
