Speaker
Description
Geothermal energy is a key renewable resource driving the shift to a zero-emissions global energy industry thanks to its reliable baseload power. While geothermal resources are abundant and unaffected by climate, utilizing them efficiently still requires a great deal of technological development for their expanded technical and economic feasibility at a larger scale. eDrilling has been developing and leveraging software that supports decision-making in drilling operations for O&G, and more recently CCS, for over 15 years. Our core technologies such as digital twins, dynamic modeling, machine learning and AI have resulted in safer and more economically and environmentally efficient drilling operations over the years. This presentation will explore the potential and key challenges for applying eDrilling’s core technologies in deep geothermal drilling operations.
Throughout an ongoing market research mainly based on collecting data through semi-structured interviews to engineers and other drilling professionals from the geothermal field in Asia, Europe and the U.S, we will present our key findings about the most common issues in geothermal drilling, that either we are already addressing with our current software, or with the potential to be tackled by a new tailor-made solution. In addition, we will also present the shortcomings that are currently hindering such potential for software development and application in the field due to a variety of factors including budget constraints, lack of proper hardware, and even the personal views of engineers regarding software use and overall digitalization.
