Clamart, France

Gurami Keretchashvili

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Schlumberger Technology Corporation. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Gurami Keretchashvili: Innovator in Borehole Sonic Classification

Introduction

Gurami Keretchashvili is a notable inventor based in Clamart, France. He has made significant contributions to the field of borehole sonic data classification. His innovative approach leverages machine learning techniques to enhance the accuracy and efficiency of data evaluation.

Latest Patents

Gurami holds a patent for an "Automatic Borehole Sonic Classification Method and Apparatus." This invention presents a general-purpose workflow for the automatic classification of borehole sonic data. It aims to identify data into various physical categories and logging conditions, which have traditionally been evaluated manually. The workflow utilizes machine learning techniques and physical knowledge for data classification, including pre-processing high-dimensional, high-quality dispersion modes extracted using a recently developed physical-driven machine learning-enabled approach. He has 1 patent to his name.

Career Highlights

Gurami Keretchashvili is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas industry. His work focuses on advancing technologies that improve data analysis and interpretation in borehole environments.

Collaborations

Gurami has collaborated with notable colleagues, including Ting Lei and Daniel Al Choboq. Their combined expertise contributes to the innovative projects at Schlumberger Technology Corporation.

Conclusion

Gurami Keretchashvili is a pioneering inventor whose work in automatic borehole sonic classification is transforming data evaluation processes in the industry. His contributions are paving the way for more efficient and accurate data analysis methods.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
Loading…