DrillAI’s Lithology Prediction Module delivers continuous, probabilistic maps of subsurface rock types ahead of and around the bit using a hybrid of variogram‑based kriging and deep learning. By fusing wireline and MWD logs, directional surveys, cuttings data, and drilling parameters, it generates high‑resolution forecasts complete with confidence intervals that quantify uncertainty. As new LWD logs or bit‑break data stream in, the model instantly updates its subsurface portrait, ensuring your team always sees the latest lithology. Color‑coded visualizations and automated prompts for RPM, weight‑on‑bit, and mud weight appear on the rig‑floor dashboard, enabling proactive adjustments to avoid hazards like cobbles, washouts, or overpressured zones. This real‑time insight reduces non‑productive time, enhances wellbore stability, and improves operator safety. Over successive wells, adaptive learning tightens prediction accuracy across your entire asset base.

Key Features:

• Probabilistic Mapping: Confidence‑interval lithology forecasts, not just single guesses.

• Hybrid Geostatistics + AI: Co‑kriging blends variogram kriging with neural‑network inference.

• Continuous Updates: Real‑time model refinement as LWD and cuttings data arrive.

• Rig‑Floor Visuals: Color‑coded lithology logs integrated alongside drilling metrics.

• Parameter Suggestion Engine: Automated RPM, WOB, and mud‑weight adjustment prompts.