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Hyperscaler Expansion | From Growth to Grind

Enverus

Research Highlights Long-Term Load Forecast The Data Center Decade : This report encompasses Enverus Intelligence Research’s view on how exponential load drivers will impact our power demand forecasts from 2025-2050. Enverus Intelligence | Research, Inc.

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AI advisor helps exploration geologists make better, faster predictions

IBM: Oil & Gas

We gained these benefits from a recent project to apply artificial intelligence (AI) to early exploration research. This helps them to make better and faster decisions in the intense competition for gas and oil exploration contracts. Interested in solutions for oil and gas?

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IBBC Conference: Iraq Prioritises Gas Investment to Boost Growth

Iraq Business News: Oil & Gas

Iraq's Minister of Oil, Hayan Abdul Ghani, highlighted the government's commitment to gas investment as a key driver for economic and industrial development at the Iraq Britain Business Council (IBBC) Baghdad Conference on Monday. Achieving self-sufficiency in diesel and kerosene production. By John Lee.

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When Numbers Lie: What Permian Basin Spacing Trends Don’t Tell Us About Well Performance

Novi

As an operator decides between 440, 660, or 880 foot spacing, what are the production impacts in each scenario? In this series, we will explore the reasons behind these limitations, and the corrective solutions implemented by Novi algorithms. Figure 3: Spacing and production in the Delaware Basin.

Basin 52
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Introducing Novi’s Insight Engine

Novi

Since then, weve built the industrys highest-quality database, incorporating cutting-edge AI to enhance your understanding of spacing, landing zones , and future production with unprecedented precision. The oil and gas industry has long struggled with clunky interfaces, tedious data prep work, and fragmented datasets.

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URTeC 2024 Recap: Insights and Highlights from the Novi Team

Novi

This years 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. We also explored the possibility of unsupervised clustering of machine learning-derived rock quality as a way of binning curves.

Basin 52
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Unlock and accelerate data up and down the energy value chain with IBM Open Data for Industries

IBM: Oil & Gas

Between turbulent economic market conditions and the transformation of the global energy landscape, upstream oil and gas organizations face increasing pressure to exploit new finds and enhance recovery from existing fields. Data platforms must combine business and technology drivers to be successful and platform choice really matters.

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