Machine Learning in Oil and Gas Blog

What if you could forecast production in a frontier basin with almost no historical data? In this blog, adapted from our URTeC 2025 paper, we

How close is too close when spacing horizontal wells? In this blog post, based on our URTeC 2025 paper, we explore how spacing strategies across

Is public water production data reliable enough to support critical decisions in tight oil development? Not always. In this blog post, we explore findings from

What if the data you rely on for production modeling is steering you wrong? In this blog post, we break down the insights from our

How has AI adoption evolved in reservoir engineering over the past year? This blog post summarizes key insights from our 2025 report, highlighting major shifts

The energy industry is entering a new era where AI-driven insights and proprietary data are more valuable than ever. Discover how upstream oil & gas

From manual calculations to AI-driven decision-making, reservoir engineering is evolving rapidly. Discover how artificial intelligence is optimizing resource extraction, predictive modeling, and reservoir management while

Generic AI is costing oil & gas operators millions. Learn why domain-specific AI delivers better forecasts, smarter decisions, and a competitive edge.

In this blog post, we use machine learning to test a data-limited model in the Northwest Shelf of the Delaware Basin. Learn how these models

In this blog post, we explore three methods for conveying well spacing to machine learning models—linear, nonlinear, and Voronoi polygons—and their unique impacts on production