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ERGS offers stakeholder engagement and risk communication research to examine how communities and stakeholders perceive societal risk, project impacts, and energy-related technologies. This transdisciplinary approach studies stakeholder concerns, public understanding, and responses to communication to identify effective engagement strategies and improve decision-making. By analyzing how different stakeholders interpret risk, uncertainty, and potential benefits, this work helps craft clear, responsive, and evidence-based messaging that strengthens public trust and supports meaningful community engagement. The research also generates insights that inform communication practice and policy decisions, helping organizations and decision-makers advance more responsible, transparent, and socially responsive project development and governance
ERGS offers an integrated risk assessment and management approach that introduces the identification, analysis, and prioritization of potential natural and anthropogenic threats, system vulnerabilities, and impacts, with the development and implementation of strategies to minimize or control these risks. In the context of effective risk communication, ERGS offers to ensure that all relevant scientific data, operational experiences, and stakeholder concerns are systematically evaluated and incorporated into resource evaluation. By providing a clear risk framework for understanding both the likelihood and impact of various risks, integrated risk assessment and recommended management fosters transparency and trust in prospective projects, empowering organizations to communicate risks and mitigation measures clearly to stakeholders, regulators, and the public. This proactive, holistic approach supports informed choices, enhances safety, and strengthens community confidence in project operations.
ERGS offers methane loss quantification to develop methods to measure and analyze where methane loss occurs by examining the relationship between detected leakage and wellbore density, age, and completion methods. This transdisciplinary approach involves using advanced monitoring technologies, such as static and airborne sensors, satellite imagery, and data modeling, to detect and estimate methane emissions with high accuracy and develop models to forecast leakage based on wellbore information that can be used to estimate leakage risk of other buoyant fluids stored in the geologic subusurface in areas with existing wellbores. Accurate quantification of geologic methane loss is crucial for ensuring site safety, protecting the environment, as well as for managing methane supply meets demand.
ERGS offers advanced data analytics by harnessing cutting-edge computational tools and techniques to enhance understanding and decision-making in energy-related geologic applications. For energy-related geologic storage resource assessment, advanced analytics integrate geophysical, geological, and engineering data to identify storage resources, leverage monitoring data to predict storage performance, and forecast capacity. In the realm of geologic leakage and seismic forecasting, analytics leverage machine learning algorithms and real-time sensor data acquired from active projects combined with geologic structure styles to model fault reactivation scenarios, and develop seismic hazard potentials. For geologic methane loss quantification, satellite imagery, continuous ground sensors, and statistical modeling are combined to accurately measure and track methane emissions from subsurface storage and develop methods to quantify leakage associated with different reservoir scenarios.
ERGS offers research in storage integrity and seismic forecasting to evaluate and predict the potential for stored energy resources to unintentionally migrate or escape from geologic subsurface formations, as well as assessing the likelihood of induced or natural seismic (earthquake) activity associated with these storage operations. This transdisciplinary approach involves analyzing subsurface geology and structure, monitoring geophysical signals, and employing advanced modeling tools to ensure the safety, reliability, and long-term viability of subsurface storage projects.
ERGS offers research on storage resource assessment by following a systematic evaluation of underground rock formations to determine their capacity and suitability for safely storing resources such as methane, hydrogen, compressed air, carbon dioxide, nuclear, and thermal energy. This transdisciplinary approach involves leveraging geological data and rock characteristics from known geologic formations to estimate ultimate storage potential of the entire basin, and to develop analogs to assess storage potential in data-poor basins with unidentified storage.