Aymeric Lilian Jan

Title: Aymeric Lilian Jan: Innovator in Downhole Technology

Introduction

Aymeric Lilian Jan is a notable inventor based in Clamart, France. He has made significant contributions to the field of drilling technology, particularly in the area of anomaly detection in wellbores. With a total of 2 patents, his work is recognized for its innovative approach to enhancing drilling efficiency and safety.

Latest Patents

One of Aymeric's latest patents is titled "Hybrid Neural Network for Drilling Anomaly Detection." This patent focuses on systems and methods for detecting anomalies such as washouts in wellbores. The system utilizes various measurements, including flow rate, weight on the drill bit, depth, and pressure, to estimate parameters of a physical model. This model helps determine the probability of an anomaly event occurring in the wellbore.

Another significant patent is "Self-Explaining Model for Downhole Characteristics." This invention involves using neural networks to analyze log data from wellbores. By applying a multi-head attention layer, the system generates a zone of interest based on probability-based weights. The neural networks infer downhole characteristics and provide indications for further actions based on these inferences.

Career Highlights

Aymeric is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas industry. His work at Schlumberger has allowed him to apply his innovative ideas in practical settings, contributing to advancements in drilling technology.

Collaborations

Throughout his career, Aymeric has collaborated with talented individuals such as Tianjun Hou and Zoryana Snovida. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies in the field.

Conclusion

Aymeric Lilian Jan is a prominent inventor whose work in drilling technology has the potential to revolutionize the industry. His patents reflect a commitment to innovation and safety in wellbore operations.