Artificial Intelligence For Petroleum Production

By: Phlean, Ryan

Artificial intelligence is changing petroleum production-but turning promising algorithms into dependable field results requires far more than technical hype.

Artificial Intelligence for Petroleum Production gives you a practical foundation for understanding how machine learning, automation, and digital transformation can support decisions throughout the upstream production lifecycle. It connects essential AI concepts with the physical realities, operational constraints, and high-consequence decisions encountered in oil and gas operations.

Inside, you will learn how to:

Prepare sensor, SCADA, historian, well-test, and reservoir data for reliable analysisApply regression, classification, time-series forecasting, and deep learning to petroleum problemsImprove drilling optimization, wellbore stability analysis, formation evaluation, and well placementExplore data-driven production forecasting, reservoir characterization, and history matchingUse AI for artificial-lift optimization, flow assurance, predictive maintenance, and safety monitoringUnderstand digital twins, physics-informed models, model drift, governance, and production-grade deploymentRecognize when engineering judgment should override an algorithmic recommendation

Structured across 28 focused chapters, the book moves from fundamental machine learning concepts to deployment, governance, security, and workforce adoption. Rather than treating artificial intelligence as a replacement for petroleum expertise, it shows how AI can extend engineering judgment across larger datasets, faster response times, and complex operating environments.

Whether you are a petroleum engineer, production specialist, data professional, technical manager, researcher, or student, this guide will help you understand where AI adds genuine value-and where its limitations must be respected.

Build the practical foundation you need to navigate the digital future of petroleum production-get your copy today.

• Format: Paperback
• Language: English
• ISBN: B0HJX6983N
• ISBN13: 9798174548138
• Release Date: September 2026
• Publisher: Independently Published
• Length: 94 Pages
• Weight: 0.53 lbs.
• Dimensions: 0.2" x 8.5" x 11.0"