GAIA: Geothermal Analytics and Intelligent Agent

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 domain-specific subroutines and visualization tools, enable predictive modeling of geothermal systems. Lastly, GAIA Chat serves as a web-based interface for users, featuring a ChatGPT-like layout with additional functionalities such as interactive visualizations, parameter controls, and in-context document retrieval. To ensure GAIA's specialized capability for handling complex geothermal-related tasks, we curate a benchmark test set comprising various geothermal-related use cases, and we rigorously and continuously evaluate the system's performance. We envision GAIA as a pioneering step toward intelligent geothermal field development, capable of assisting human experts in decision-making, accelerating project workflows, and ultimately enabling automation of the development process.