Sign inGet started
Paper · arXiv

Decision-Support and Modeling with Large Language Models for Geothermal Well Arrays

Geothermal well arrays, which organize multiple geothermal wells into carefully planned geometric configurations, provide opportunities to enhance energy production capacity and increase fault tolerance. The development and adoption of these emerging geothermal technologies could be accelerated through the recent advances in large language models (LLMs) and high-level high-performance languages. A challenge in LLM-based applications is the reliability of the generated outputs, as they can be prone to subjective biases and hallucinations. This study assesses the potential of cutting-edge LLMs - such as ChatGPT, Gemini, Claude, Grok, and domain-specific models like AskGDR - as expert assist...

AuthorsEdwin Ouko, Emmanuel Lujan, Alan Edelman et al.
Primary categorycs.AI
Published22 August 2026
Last updated at source22 August 2026
cs.AIcs.CE
Embed this entry
<iframe src="https://silytics.si/embed/item/f805fa6b-b6e0-4de4-bcf0-443e2b92ea60" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.