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In this episode, I sit down with Jaiyesh Chahar, Machine Learning Specialist and Top 5 AI Community Contributor in India (Analytics Vidhya, 2023). On a live screen-share, Jayesh walks us through PetroForecast AI, a Streamlit-based application powered by Machine Learning and LLMs on the back end. What you’ll learn in this session: ✅ How LSTM deep learning models can improve short- and medium-term production forecasts ✅ AI-driven validation of traditional decline curve analysis methods ✅ Using operational data (pressure, injection, choke, etc.) for production optimization ✅ Automated risk assessment & mitigation strategies for field management ✅ Engineering diagnostics with data quality checks and performance metrics With features like exportable forecasts, AI-generated recommendations, and real-time data quality checks, PetroForecast AI provides petroleum engineers with a powerful tool to move beyond traditional models into AI-driven decision making. 📺 Watch the full walkthrough and see how AI can be applied directly to petroleum engineering workflows. Get in touch with Jaiyesh: / jaiyesh-chahar-9b3642107 --- 🔧 Give the CrowdField LinkedIn page a follow. We regularly share tools, insights, and other O&G goodies you won't want to miss: / crowdfield 🌐 Explore the CrowdField site for more tools and products built for subsurface professionals: https://www.crowdfield.net/ 🔔 Give us a hand by subscribing to the channel... you’ll get notified when new episodes drop. Building a cool AI workflow? Want to showcase it on the podcast? Reach out here 👇 / alan-mourgues