PERE-Agent: AI Agent supports to engineering calculation...

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🐙 RE-AGENT

AI Agent supports to engineering calculation

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🛢️ RE-Agent: Professional Reservoir Engineering AI Assistant

RE-Agent is a state-of-the-art AI-powered platform for petroleum engineering tasks, built with Streamlit and powered by the pyResToolbox Model Context Protocol (MCP) server.

Streamlit App Petroleum Engineering

🚀 Overview

RE-Agent provides a conversational interface for complex reservoir engineering calculations, diagnostics, and simulations. By combining the power of Large Language Models (LLMs) via OpenRouter with the technical precision of pyResToolbox, this agent can perform over 100+ specialized engineering functions.

🛠️ Key Capabilities

Category Features
🧪 PVT Analysis Bubble point (Standing/Valko), Z-factor (DAK/BUR), H2-capable gas PVT (SPE-229932-MS).
📈 Production Nodal Analysis, IPR (Vogel/Darcy), VLP curves (Hagedorn-Brown/Beggs-Brill).
💻 Simulation ECLIPSE table generation (PVDO/PVDG/VFP), Rel Perm fitting (Corey/LET).
📉 Analysis DCA (Arps/Duong), EUR forecasting, Material Balance (P/Z & Havlena-Odeh).
⚒️ Geomechanics Pore pressure prediction, mud weight window, stress polygon, fault stability.
🌊 Brine VLE CO2/CH4 solubility, IAPWS-IF97 density, salinity corrections.

🧠 Digital Skills System

RE-Agent includes a Professional Digital Skillset located in /pyrestoolbox-skill/. These skills guide AI agents with technical workflows to ensure: - Consistency: Using appropriate correlations for different fluid types. - Workflow-Driven: Step-by-step logic from characterization to simulation. - Data Integrity: Automated validation and unit conversions.

💻 Tech Stack

  • Frontend: Streamlit (with Plotly visualizations)
  • Engine: pyResToolbox (via MCP Server)
  • AI Backend: OpenRouter (Google Gemini 2.0 Flash)
  • Deployment: Optimized for Streamlit Cloud

📦 Installation & Setup

Local Run

  1. Clone the repository: bash git clone https://github.com/lmvu103/RE-Agent.git cd RE-Agent
  2. Install dependencies: bash pip install -r requirements.txt
  3. Run the app: bash streamlit run app.py

Streamlit Cloud Deployment

  • Connect this repo to Streamlit Cloud.
  • Set your OPENROUTER_API_KEY in the App Secrets dashboard.

📜 License

This project is licensed under the GPL-3.0 License - see the LICENSE file for details.

Developed with ❤️ for the Petroleum Engineering community by lmvu103.

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