This inventor holds 1 USPTO granted patent. Top assignee: Exxon Production Research Company. Active years: 1996.
Company Filing History:
Years Active: 1996
Title: Albert T Wang - Innovator in Drilling Technology
Introduction
Albert T Wang is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of drilling technology, particularly in the area of preventing drill string sticking. His innovative approach combines statistical and engineering techniques to enhance drilling efficiency and safety.
Latest Patents
Wang holds a patent for a method to combine statistical and engineering techniques for stuck pipe. This invention focuses on modeling the probability of a drill string becoming stuck within a specified time frame. The method involves performing canonical discriminant analysis on engineering parameters derived from historical well observations. By creating a canonical space with the resulting canonical functions, Wang's model calculates posterior probabilities of sticking and maps them into the canonical space. This allows for a comparison of the current well's sticking probability against historical data, enabling the implementation of remedial measures when necessary.
Career Highlights
Albert T Wang is currently employed at Exxon Production Research Company, where he applies his expertise in drilling technology. His work has been instrumental in developing methods that improve drilling operations and reduce risks associated with stuck pipes. Wang's innovative contributions have positioned him as a key figure in the industry.
Collaborations
Wang has collaborated with notable colleagues, including Eugene A Sikirica and Michele M Thomas. These partnerships have fostered a collaborative environment that enhances the development of innovative solutions in drilling technology.
Conclusion
Albert T Wang's contributions to drilling technology through his innovative patent demonstrate his commitment to improving safety and efficiency in the industry. His work continues to influence practices in drilling operations, showcasing the importance of combining statistical analysis with engineering techniques.
