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September 5, 2025

Petrophysical Open Hole Log Evaluation Using Artificial Intelligence in a Sandstone Gas Field Offshore UK

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The AI model significantly improved predictions of reservoir properties, achieving a RMSE of 0.2 after dataset augmentation.
Initial model performance was validated against manual evaluations, demonstrating minimal differences in outputs.
Dataset cleaning and optimal selection of logs were crucial for enhanced model accuracy and performance.
Robustness of AI predictions was tested across different offshore fields, underscoring the need for diverse training datasets.

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Observational analysis enhanced accuracy of clay, porosity, and water saturation predictions in gas wells, indicating robust model performance.

Jacob et al. (2025) studied this question.

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Observational analysis enhanced accuracy of clay, porosity, and water saturation predictions in gas wells, indicating robust model performance.