Field/project development

AI‑driven data center growth is straining US power grids and accelerating interest in enhanced geothermal systems as a scalable, low‑carbon solution.
Formerly titled E&P Notes, this monthly snapshot of global E&P activity highlights ongoing developments worldwide.
In this paper a case study is described in which a software solution enabled prescriptive optimization of well delivery using a physics-informed machine-learning approach for predictive identification and characterization of well-construction risks.

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