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August 16, 2025

An Explicit Machine Learning Model for Predicting Sandface Pressure in Complex Shale Reservoirs

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Machine learning models effectively predict sandface pressure in shale reservoirs, highlighting porosity's effectiveness.

Artificial neural network achieved an R² of 0.9626, outperforming other learning models in pressure predictions.
The study used four machine learning techniques to model sandface pressure across five shale reservoirs, simplifying input requirements.
Data from 9,561 points allowed robust model development, with a focus on porosity and critical production parameters.
Understanding sandface pressure dynamics can optimize hydrocarbon recovery and reduce completion costs.

Igbo et al. (2025) studied this question.

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