Abstract

Recently, the oil and gas industry started to experience a major evolution that could impact the geophysical community for decades. The effort to reduce greenhouse gas emissions will lead to more renewable energy and less fossil fuel consumption. In parallel, the carbon capture, utilization, and storage (CCUS) business is expected to develop rapidly. However, reliably injecting massive amounts of CO2 underground is more challenging than producing hydrocarbons from a known reservoir. Site integrity monitoring and CO2 leak detection are among the biggest challenges. Capabilities to address these challenges will be requested by regulators and the public for acceptance. This surveillance requires technologies such as microseismic monitoring either from the surface or borehole. Each CCUS project will need a preinjection feasibility study in order to design the best sensor network architecture and to set performance expectancies. Acquisition will be performed over long periods of time. Data harvesting and processing will be performed permanently in automated workflows. For these objectives, site operators must demonstrate their expertise through permanent benchmarks based on a common modeling and simulating platform. Microseismic monitoring is not fully mature and presents additional unsolved challenges for large-scale projects such as CCUS. Using a common and public geologic model to generate synthetic data is a solution to gain more credibility. Limitations can be mitigated after analyzing and quantifying gaps such as localization uncertainties. The model is complex due to the nature of CO2 injection and will evolve over time. A public consortium, such as the SEG Advanced Modeling (SEAM) Corporation, that gathers expertise to generate a common model and synthetic data sets will give the credibility and openness necessary to progress in scientific knowledge. It will also provide the necessary transparency for regulatory approval and public acceptance. A new common CCUS modeling platform offers opportunities to work more efficiently within different disciplines.

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