Rio de Janeiro, Brazil

Austin Boyd

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: Austin Boyd: Innovator in Machine Learning for Sedimentary Facies Prediction

Introduction

Austin Boyd is a notable inventor based in Rio de Janeiro, Brazil. He has made significant contributions to the field of machine learning, particularly in the area of sedimentary facies prediction. His innovative approach utilizes advanced techniques to enhance the accuracy of geological assessments.

Latest Patents

Austin Boyd holds a patent for a groundbreaking invention titled "Machine-learning for sedimentary facies prediction." This patent focuses on using machine learning algorithms to predict sedimentary facies by analyzing one or more logs acquired from boreholes. The process involves performing petrophysical clustering of borehole depths, where depths are grouped into clusters based on similarities in the logs. Additionally, the invention includes log inclusion optimization, which selects parameters for clustering, such as the number and type of logs considered. The final step involves classifying the clusters into core depositional facies using predetermined rules.

Career Highlights

Austin Boyd is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas industry. His work at Schlumberger allows him to apply his innovative ideas in practical settings, contributing to advancements in geological modeling and analysis.

Collaborations

Austin has collaborated with talented professionals in his field, including Nadege Bize-Forest and Laura Lima Angelo Dos Santos. These collaborations have further enriched his work and fostered a creative environment for innovation.

Conclusion

Austin Boyd is a pioneering inventor whose work in machine learning for sedimentary facies prediction is making waves in the geological community. His contributions are not only advancing technology but also enhancing the understanding of sedimentary processes.

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