Paul Cazali

Title: Paul Cazali and AI-Assisted Subsurface Modeling

Introduction

Paul Cazali is an inventor associated with Sugar Land, Texas, and Schlumberger Technology Corporation. His patent work focuses on applying artificial intelligence to stratigraphic modeling and geosteering using gamma ray measurements.

Latest Patents

Cazali is named on 1 patent: “AI-Assisted Stratigraphic Modeling and Geosteering Utilizing Gamma Ray Measurements.” The invention describes a method for modeling a subsurface region by drilling reference and additional wells, initializing stratigraphic and gamma ray models, and collecting gamma ray measurements while drilling. When the difference between the model and the measurements exceeds an error threshold, the method updates both models and outputs the revised results. This approach is designed to refine subsurface models as new drilling data becomes available.

Career Highlights

Cazali’s listed patent reflects work at the intersection of artificial intelligence, drilling operations, and subsurface interpretation. The method uses measurements from a gamma ray sensor coupled to a drill string to inform updates to geological models during drilling.

Collaborations

Cazali’s listed coworker is Cheolkyun Jeong. The patent’s technical subject also reflects collaboration within the broader engineering and research environment at Schlumberger Technology Corporation.

Conclusion

Paul Cazali’s patent highlights an AI-assisted approach to updating stratigraphic and gamma ray models with measurements gathered during drilling, connecting real-time data with subsurface interpretation.