Fatma Mahfoudh

Title: Fatma Mahfoudh: Innovator in Drilling Technology

Introduction

Fatma Mahfoudh is a prominent inventor based in Cambridge, GB. She has made significant contributions to the field of drilling technology, holding 2 patents that showcase her innovative approach to solving complex problems in the industry.

Latest Patents

Her latest patents include a "Hybrid Neural Network for Drilling Anomaly Detection." This invention relates to systems and methods for detecting anomalies in a wellbore, utilizing various measurements such as flow rate, weight on a drill bit, depth, and pressure. The system estimates parameters of a physical model to determine the likelihood of anomaly events occurring.

Another notable patent is the "Well Construction Equipment Framework." This method involves generating offset drilling operations using historical feature data and assessing them based on similarity to the current drilling operation. The outcome is a set of recommendations for selecting components of the bottom hole assembly and drilling fluid.

Career Highlights

Fatma works at Schlumberger Technology Corporation, a leading company in oilfield services. Her role involves leveraging her expertise to enhance drilling operations and improve safety and efficiency in the field.

Collaborations

She collaborates with talented individuals such as Yingwei Yu and Gregory Michael Skoff, contributing to a dynamic team focused on innovation in drilling technology.

Conclusion

Fatma Mahfoudh's work exemplifies the intersection of technology and engineering in the drilling industry. Her patents reflect her commitment to advancing the field and addressing critical challenges.