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. 

Chairs: Ayon Dey, MathWorks; Farzad Sunavala, Microsoft

Chair: Mayank Tyagi, Louisiana State University

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.

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

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.

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