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oa Cutting Lithology Percentages Prediction using Artificial Intelligence
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, EAGE Workshop on Data Science - From Fundamentals to Opportunities, Oct 2023, Volume 2023, p.1 - 3
Abstract
Summary
Drill cutting samples are valuable data that cover the major part of drilled well compared to the core samples that cover only a limited depth interval. Therefore, accurate and objective cutting description plays major role in decision making while drilling, in reservoir characterization studies, and in modeling workflows. We developed an Artificial Intelligence workflow to automatically predict cutting lithology percentages using cutting photos. The workflow can be applied in near-real-time as soon as photos are acquired.
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