[Research] Matador expands its Delaware Basin position with $1.48 billion in acquisitions — Read more

Machine Learning in Oil and Gas Blog

07/23/2025
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Dillon Niederhut

Bridging the Data Gap: How Transfer Learning Revolutionizes Production Forecasting in Frontier Basins

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

07/09/2025
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Kiran Sathaye

Revolutionizing Well Spacing Optimization: Advanced Analytics Reveal Formation-Specific Strategies for Maximum Recovery

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

Machine Learning in Oil and Gas Blog

07/07/2025
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Kiran Sathaye

Exposing Critical Data Reliability Issues: How Public Water Production Records Fail to Capture Reality in Tight Oil Wells

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

Machine Learning in Oil and Gas Blog

06/30/2025
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Dillon Niederhut, Ben Davis

Can 100,000 Wells Reveal What Single-Basin Analysis Misses? The Hidden Biases Undermining Unconventional Production Models

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

Blog Post

06/24/2025
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Maria Pesantez

The State of AI Adoption in Reservoir Engineering: 2024–2025 Comparative Analysis

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

Blog Post

03/11/2025
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Mohamed El Hannaoui

From SaaS to Intelligence: Why Upstream Data Is the New Black Gold

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

Blog Post

02/17/2025
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Mohamed El Hannaoui

Artificial Intelligence in Oil and Gas: How AI is Transforming Reservoir Engineering

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

Blog Post

01/27/2025
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Mohamed El Hannaoui

Generic vs Domain-Specific AI in Oil & Gas: What Really Works?

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

Machine Learning in Oil and Gas Blog

11/13/2024
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Kiran Sathaye

Expanding Machine Learning Models for Better Production Forecasting in Emerging Shale Basins

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

Machine Learning in Oil and Gas Blog

11/07/2024
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Kiran Sathaye

How Do We Inform a Model About a Well’s Surroundings?

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

Novi Intelligence

April 2026 Gas Hedging Profiles

This report examines how U.S. natural gas producers are structuring 2026 hedges as the Henry Hub forward curve pulls back from winter highs. Novi breaks down coverage levels, hedge structures, and collar usage across the peer group.

Machine Learning in Oil and Gas Blog

April 2026 Gas Hedging Profiles

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