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 operations are leveraging vertical AI to optimize decision-making, automate workflows, and unlock new efficiencies. The post From SaaS to Intelligence: Why Upstream Data Is the New Black Gold appeared first on Novi Labs ..read more

Generic AI is costing oil & gas operators millions. Learn why domain-specific AI delivers better forecasts, smarter decisions, and a competitive edge. The post Generic vs Domain-Specific AI in Oil & Gas: What Really Works? appeared first on Novi Labs ..read more

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 can reduce forecasting bias and enhance decision-making in underexplored areas. The post Expanding Machine Learning Models for Better Production Forecasting in Emerging Shale Basins appeared first on Novi Labs ..read more

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 forecasting. The post How Do We Inform a Model About a Well’s Surroundings? appeared first on Novi Labs ..read more

In this post, we dive into how Double Machine Learning (DML) can help create more physically sensible models in a world of biased data. The post How to Build a Physically Sensible Model in a World of Biased Data: Double Machine Learning appeared first on Novi Labs ..read more

Get faster insights from industry-leading datasets with unparalleled detail and visualization. The post Introducing Novi’s Insight Engine appeared first on Novi Labs ..read more

Note: This is the 1st of a multi-part series on Novi’s approach to creating forecasting models which respond accurately and sensibly to downspacing and parent-child depletion. How dense is too dense? As an operator decides between 440, 660, or 880 foot spacing, what are the production impacts in each scenario? What about varying completions alongside […] The post When Numbers Lie: What Permian Basin Spacing Trends Don’t Tell Us About Well Performance appeared first on Novi Labs ..read more

Another URTeC is wrapped up! This year’s Unconventional Resources Technology Conference (URTeC) was a whirlwind for the Novi team, filled with insightful talks, technical discussions, and exciting new developments in the oil and gas industry. Here’s a recap of our team members’ highlights and key takeaways.   Connecting with the Community Our team relished meeting existing customers and connecting with new people interested in Novi’s innovations. Engaging directly with the community and sharing our work was a significant highlight, reinforcing the value of face-to-face interactions in fos ..read more

Aethon has agreed to purchase Tellurian’s upstream assets for (US) $260MM below street estimates, which ranged from $270MM to $500MM. As part of the agreement, Aethon has signed a preliminary agreement to purchase two million tons per annum (Mtpa) of LNG from Tellurian’s ~28 Mtpa Driftwood project in Lake Charles, Louisiana. The deal is good for the company despite the market reacting poorly to the sale price. It will allow it to focus on more impactful projects and pay down $224 MM in debt, with the remainder going towards general purposes or construction. Below, we reflect on the deal and ..read more

  A few weeks ago, we partnered with over 150 reservoir engineers from top operators to provide you with comprehensive perspectives, with the goal of exploring how AI is reshaping reservoir engineering workflows. In case you haven’t downloaded the full report, we’re sharing some enlightening insights from “The State of AI Adoption in Reservoir Engineering” in this blog post. Whether you’re a seasoned pro or new to the field, this report provides valuable insights into the transformative impact of AI in E&P strategies, shedding light on current trends, challenges, and opportunities i ..read more