HXMX’s AI Matches Expert Geoscientists in Williston Basin Case Study with Devon Energy Published Tuesday, Aug. 4, 2026 | 9:32 a.m. Updated Tuesday, Aug. 4, 2026 | 9:32 a.m. OKLAHOMA CITY & GOLDEN, Colo.--(BUSINESS WIRE)--Aug 4, 2026-- Devon Energy and HXMX will present joint research at IMAGE 2026 showing that an automated interpretation platform can pick formation tops as reliably as expert geoscientists across a large Williston Basin dataset. The study also introduces a new method for measuring how far a single reference well can carry an accurate correlation. The presentation is scheduled for August 19, 2026, at 8:00 a.m. in Room 372A of the George R. Brown Convention Center in Houston. Authored by Drew Kreman and Kevin Pelton of Devon Energy and Alan Lindsey of HXMX, the study benchmarks HXMX’s automated formation-top picking against traditional manual correlation. The team calibrated the platform on a multi-well calibration set with interpreter-verified tops, then deployed it on an extensive multi-county test set. Automated picks matched expert picks with strong accuracy across most intervals. At the center of the work is Triangulated Cross-Validation (TCV), a method that checks each automated pick against every other well in a set and reports consistency in feet. Across both large and tightly spaced study areas, key formations picked with sub-foot spreads from a single reference well. TCV gives geoscientists a direct, quantitative measure of uncertainty — and defines the practical range over which a verified reference well can be trusted to guide automated picking. Manual well-log correlation is accurate but slow, and it scales poorly across the thousands of wells required for basin-wide analysis. The HXMX platform lets geoscientists calibrate the system on a small set of verified wells, then extend consistent picks across a basin while staying in the role of reviewer and decision-maker. Because the