GAIA: Geothermal Analytics and Intelligent Agent
Randy Harsuko, Zhengfa Bi, Nori Nakata

TL;DR
GAIA is an AI-driven system integrating multiple components like a large language model, digital twin, and user interface to automate and assist in geothermal field development, enhancing decision-making and workflow efficiency.
Contribution
The paper introduces GAIA, a novel AI-based platform combining retrieval-augmented generation, physics modeling, and interactive tools for geothermal development automation.
Findings
GAIA effectively manages complex geothermal analysis tasks.
The system demonstrates high accuracy on curated geothermal benchmarks.
GAIA accelerates decision-making processes in geothermal projects.
Abstract
Geothermal field development typically involves complex processes that require multi-disciplinary expertise in each process. Thus, decision-making often demands the integration of geological, geophysical, reservoir engineering, and operational data under tight time constraints. We present Geothermal Analytics and Intelligent Agent, or GAIA, an AI-based system for automation and assistance in geothermal field development. GAIA consists of three core components: GAIA Agent, GAIA Chat, and GAIA Digital Twin, or DT, which together constitute an agentic retrieval-augmented generation (RAG) workflow. Specifically, GAIA Agent, powered by a pre-trained large language model (LLM), designs and manages task pipelines by autonomously querying knowledge bases and orchestrating multi-step analyses. GAIA DT encapsulates classical and surrogate physics models, which, combined with built-in…
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Taxonomy
TopicsMachine Learning in Materials Science · Scientific Computing and Data Management · AI-based Problem Solving and Planning
