Moderator:  Camilo Mejia, Enovate

Speaker:  Jack Lewnard , U.S. Department of Energy

Chairs: Ayon Dey, MathWorks; Pejman Omrani, TNO

We are proud to facilitate this gathering of leaders featuring discussions, success stories, and demos highlighting how organizations are using digital technology to accelerate development and optimize geothermal operations in the energy industry. This session provides an opportunity to showcase and discuss state-of-the-art innovations using data analytics, machine learning, and artificial intelligence in the areas of drilling, petroleum engineering and geosciences as applied to digital geothermal innovations. 

Presentations: 

• On the Path to Unlocking the Earth's Heat Energy at Scale: Advances in Using AI and ML for Geothermal Resource Evaluations
  Jon Wallace, Viage
• Applying the Lessons Learnt from Oil & Gas Operations Optimization Powered by AI/ML to Geothermal Operations
  Sunil Garg, dataVediK
• It’s Not Just About the Numbers
  John Boden, i2k Connect

Chairs: Mayank Tyagi, Louisiana State University; Camilo Mejia, Enovate

This session will describe the critical components of the surface plant performance and the data-driven factors for electricity production and heat extraction. Data-driven performance is paramount for higher efficiencies, increased safety and optimization focus. Mechanical designs and performance metrics are the target for this session. IoT infrastructure, machine learning modeling, predictive maintenance, turbine automation, energy optimization, electricity forecasting and edge technologies.

Presentations: 

• Digital Environmental Claims
  Richard Dwelle , Blockchain For Energy 
• 5G Power Plants 
  Rebecca Nye, Enovate

Chairs: Susan Nash, AAPG; Birol Dindoruk, University of Houston

The geology of geothermal reservoirs is critical in the identification and development of all types of geothermal reservoirs, whether traditional hot-rock, sedimentary, or enhanced geothermal systems. In this session, we will discuss geothermal reservoirs, the typical geometries, aspects of heat distribution, and the importance of understanding the lithology, geological history, and the geochemistry of both the fluids and the reservoir rocks.

Presentations:

• Often Overlooked Geological Factors in Developing and Operating Geothermal Reservoirs
  Susan Nash, AAPG

• A Single Wellbore Geothermal Energy Conversion System Using Downhole Heat Exchanger with Zero Mass Withdrawal Concept
  Mayank Tyagi , Louisiana State University

• TBD
  TBD

Chairs: Myank Tyagi, Louisiana State University; Hani Elshahawi, NoviDigiTech

Digital twins, a concept that originated in the aerospace industry, refers to the creation of a digital replica of a physical entity. This digital counterpart can be used to simulate, predict, and optimize the performance of its physical twin, thereby reducing costs, improving efficiency, and mitigating risks. Geothermal presents unique engineering challenges which include pushing the drilling envelope, the corrosive nature of geothermal fluids, and the difficulty of predicting the behavior of geothermal reservoirs. The application of digital twin technology in geothermal power plants allows operators to monitor the plant's performance in real-time, using data collected from sensors installed throughout the plant. The data can include temperature, pressure, flow rates, and other key operational parameters. More generally, the application of digital twins can revolutionize the way geothermal projects are designed, operated, and maintained by providing a virtual platform for testing and optimization.

Presentations:

• Integrated Modelling of a Closed Loop Borehole Heat Exchanger: Addressing Design and Operational Aspects of Repurposing Old Oil and Gas Wells for Geothermal Energy Production
  Stian Engebretsen, Aspen Technology
• A Digital Twin for Decision Support in Production and Operation of Geothermal Assets
  Jonah Poort, TNO
• Electromagnetic, Thermal, and Hydrodynamic Modeling of Wellbores
  Maxim Volkov, TGT Diagnostics