Location History:
- Stamford, CT (US) (2004 - 2011)
- Houston, TX (US) (2006 - 2014)
- Katy, TX (US) (2022)
Company Filing History:
4 out of 164,197 
1 out of 607 
1 out of 572 
Years Active: 2004-2022
Title: The Innovative Contributions of Ricardo Vilalta
Introduction
Ricardo Vilalta is a notable inventor based in Houston, TX, who has made significant contributions to the field of machine learning and drilling technology. With a total of 6 patents to his name, Vilalta's work focuses on enhancing the efficiency and safety of drilling operations through innovative techniques.
Latest Patents
One of Vilalta's latest patents is titled "Real-time breakover detection during pickup weight step for friction test using machine learning techniques." This invention involves detecting a breakover event during a friction test by obtaining hookload measurements over a series of time windows. The process includes generating both linear and nonlinear models from these measurements to identify inflection points and determine when a breakover event occurs.
Another significant patent is the "Method and system for predicting a drill string stuck pipe event." This invention utilizes an ensemble prediction model that incorporates multiple machine-learning algorithms to predict the likelihood of a future stuck pipe event based on various drilling parameters. The model provides drilling operators with crucial information to mitigate risks during operations.
Career Highlights
Throughout his career, Ricardo Vilalta has worked with prominent companies such as IBM and Landmark Graphics Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in drilling technology.
Collaborations
Vilalta has collaborated with talented professionals in his field, including Youssef Drissi and Irina Rish. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
Ricardo Vilalta's contributions to the field of drilling technology and machine learning are noteworthy. His innovative patents and collaborations reflect his commitment to enhancing operational efficiency and safety in the industry.