AI·May 2026·8 min
AI for reservoir engineering: where physics meets data
How hybrid physics-ML models cut history-matching time by an order of magnitude.
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Long-form articles on reservoir simulation workflow, production technology software, AI for reservoir engineering, and the practice of modern oilfield engineering.
How hybrid physics-ML models cut history-matching time by an order of magnitude.
Ranking CO₂, polymer, ASP and steam under reservoir and commercial constraints.
Diversion strategies and wormhole modelling in dual-porosity reservoirs.
Decision drivers and analogue field database evidence from 60 wells.
Adsorption modelling, inhibitor return prediction and field validation.
From single-well to asset-wide rate allocation under constraints.