Cachan, France

Lucas Lima De Carvalho


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):

Title: Innovations of Lucas Lima De Carvalho

Introduction

Lucas Lima De Carvalho is an accomplished inventor based in Cachan, France. 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

Lucas 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 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

Lucas is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas industry. His work there emphasizes the application of machine learning to improve geological predictions, which is crucial for resource exploration and management.

Collaborations

Lucas collaborates with talented professionals, including Nadege Bize-Forest and Laura Lima Angelo Dos Santos. Their combined expertise contributes to the advancement of innovative solutions in their field.

Conclusion

Lucas Lima De Carvalho is a notable inventor whose work in machine learning for sedimentary facies prediction showcases his commitment to innovation. His contributions are paving the way for more accurate geological assessments and resource management.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…