Scaling Well Log Interpretation for Faster Results with AI

We present a case study of applying machine learning for well log interpretation. The project started with a pilot phase using a selection of 30 wells, then expanding to 126 wells. The developed workflow empowered by machine learning provided excellent interpretation results with higher than expected quality and significant reduction in turnaround time. The workflow is cheaper, faster, unbiased (being data-driven), and able to capture uncertainty – overall, able to produce a higher quality outcome. We project cost reductions of more than 40% compared to conventional workflows, making a good business case to implement this technology routinely. The technology will now be extended to further field studies, allowing further understanding of the technology and a growing financial benefit from the advantages it delivers today.