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This is a Experimental Study study.

September 17, 2025

Towards Well Placement Automation: Revolutionizing Geo-Steering with Automated Dip Picking and Boundary Mapping from Azimuthal Resistivity Multi-Layer Inversions

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Automation improves well placement precision and efficiency in geosteering using real-time data interpretation.

Automated workflows enhance geosteering efficiency, reducing reliance on manual methods and human error.
Implementation of automated dip picking and deep resistivity inversions significantly improves placement accuracy.
Integration of azimuthal LWD images and correlation algorithms enables real-time adjustments during drilling.
The automation framework reduces wellbore placement deviations, maximizing reservoir contact and achieving time savings.

Elkhamry et al. (2025) studied this question.

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