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Prediction Of Missing Well Logs Using AI And ML
Predicting missing well logs in the oil and gas industry is crucial for reservoir characterization and decision-making processes. However incomplete or missing well log datapose significant challenges in accurately assessing subsurface formations.
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Raster Well Log Digitization using AI
Raster well log digitization using AI involves converting scanned images of well logs into digital data formats that can be used for analysis in the petroleum industry. Well logs are essential tools in oil and gas exploration and production, providing detailed records.
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Automated Well Log Splicing to Streamline Exploration and Production Operational Efficiency
In the fast-paced world of oil and gas exploration and production (E&P), the quest for efficient, accurate, and scalable well log analysis is more critical than ever. This paper provides an in-depth look at AutoSpliceTM innovative methodology.
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Unlocking Subsurface Value from Legacy Data Using AI & Gen AI – Granite Wash wells from OK
We would like to share how Drake AI is helping operators unlock actionable subsurface insight from legacy well logs and regulatory data using a combination of Artificial Intelligence (AI) and Generative AI (GenAI). As a recent demonstration, our team completed an AI-driven subsurface intelligence study of the Granite Wash reservoirs in the Anadarko Basin, Oklahoma, focused on wells across Beckham and Roger Mills Counties. The objective was to show how modern AI workflows can rapidly convert fragmented, scanned, and incomplete historical datasets into structured, interpretation-ready subsurface intelligence.
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