Environmental sustainability issues have led to long-term energy producers’ commitments to lower carbon footprints through net-zero emission. In recent years, its significance and role are being highlighted in regard to the transition from fossil fuels to a net carbon zero and renewable energy. C⓪GEiS mission is to support industry transition toward Net Carbon zero initiative, intelligent and sustainable operation to use subsurface resources in environmentally friendly ways.

C⓪GEiS is established to provide integrated education and research platform to host undergraduate and graduate students, especially women and minorities, to conduct multidisciplinary research in sustainable renewables and net-zero energy, emphasizing data science and digital 4.0 technology development.

C⓪GEiS initiative is organized around seven topical research, development, and deployment (RD&D) pillars that leverage our Physics-inspired (PAI), Explainable (XAI), and Resilient (RAI) AI systems (PXR-AI)© (Patent Pending):

  1. HydroGen 4.0 ©: Hydrogen generation through versatile and flexible environmentally friendly and economically viable AI-enabled processes for converting sour natural gas to blue hydrogen, and useful by-products.
  2. HydroTPT 4.0©: Safe hydrogen transport in pipelines- An integrated smart monitoring system for safe and sustainable H2 transportation.
  3. UhydroS 4.0 ©: Machine Learning-Enhanced Underground H2 Storage Evaluation System for Environmentally Sustainable Use of Depleted Subsurface Resources.
  4. PXR-AI System: Develop algorithms and workflows for Physics-inspired (PAI), Explainable (XAI), and Resilient, ethical/ inclusive /safe (RAI) AI systems for Net Carbon Zero use cases and facilitates intelligent real-time decision-making to help offshore and onshore operators achieve a high standard to ensure human health and environmental protection while safely operating in a challenging environment.
  5. PXR-AI-CCS: Physics-inspired (PAI), Explainable (XAI), and Resilient (RAI) AI systems (PXR-AI) for safe and efficient carbon sequestration: Develop and deploy an AI-enabled, integrated and automated system that enables transformative new capabilities for engineered dynamic CO2 storage systems by significantly enhancing the monitoring process by responding to time-varying CO2 storage conditions in real-time.
  6. i-GeoSensing Fracture Diagnostic (i-GSFD): Enables fast processing of the Smart Microchips and subsurface sensors data to ensure safe storage and minimize carbon footprints.
  7. Geotherm 4.0 ©: High and low energy Geothermal resources evaluation.