Maylands, Australia

Stanislav Glubokovskikh


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Stanislav Glubokovskikh: Innovator in Geological Machine Learning

Introduction

Stanislav Glubokovskikh is a notable inventor based in Maylands, Australia. He has made significant contributions to the field of geology through his innovative use of machine learning techniques. His work focuses on the determination of elastic properties of geological formations, which is crucial for various applications in the oil and gas industry.

Latest Patents

Stanislav holds a patent for a method titled "Determination of elastic properties of a geological formation using machine learning applied to data acquired while drilling." This patent outlines a process that involves extracting a first feature vector from drilling data, which includes drilling parameters. The first feature vector helps classify the drilling environment. A machine learning classification algorithm is then employed to determine this classification. Following this, a machine learning regression algorithm is selected based on the classification, allowing for the extraction of a second feature vector that indicates the elastic properties of the geological formation. Ultimately, the selected algorithm determines these properties based on the second feature vector.

Career Highlights

Stanislav is currently employed at the Saudi Arabian Oil Company, where he applies his expertise in machine learning and geology. His work is instrumental in enhancing the efficiency and accuracy of drilling operations.

Collaborations

He has collaborated with notable colleagues, including Andrey Bakulin and Robert Smith, who share his passion for advancing geological research through innovative technologies.

Conclusion

Stanislav Glubokovskikh's contributions to the field of geology through machine learning are noteworthy. His patent reflects a significant advancement in understanding geological formations, which can lead to improved drilling practices. His work continues to influence the industry positively.

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