Generative AI: Prospects and Applications in Geothermal Energy

Abstract

Generative AI, a specialized branch of artificial intelligence, focuses on creating fresh and significant content like text, images, or audio from unstructured data. Its popularity has surged across diverse sectors recently due to its expanding range of applications. Notable examples encompass resilient conversational agents enhancing customer satisfaction in business domains, code synthesis aiding software developers, and the generation of audio and video content for the advertising and entertainment sectors. These fast-improving applications show huge prospects for the application of generative AI in various fields. Hence, this study presents achievable and innovative applications of generative artificial intelligence in the geothermal energy. To showcase the prospects and feasibility of this technology, three case studies were considered in this work, namely; geothermal drilling operation, seismic imaging and interpretation, and field management. By clearly leveraging instances of technology in various fields, the case studies were properly discussed. Consequently, this research seeks to inspire and provide valuable insights into the potential domains where this technology can be applied. With efficient and ethical implementation, it holds the promise of streamlining processes, reducing costs, enhancing safety, and allowing researchers and the industry to capitalize on the value it offers.