Sugar Land, TX, United States of America

Pratik Halani

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 39(Granted Patents)


Company Filing History:


Years Active: 2016-2021

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2 patents (USPTO):Explore Patents

Title: Pratik Halani: Innovator in Fluid Sampling and Electrical Connectors

Introduction

Pratik Halani is a notable inventor based in Sugar Land, TX (US). He has made significant contributions to the fields of fluid sampling and electrical connector technology. With a total of 2 patents, Halani's work showcases his innovative approach to solving complex engineering challenges.

Latest Patents

Halani's latest patents include a method for minimizing immiscible fluid sample contamination. This method involves setting a dual packer tool in a wellbore to isolate an interval between an upper packer and a lower packer. The process includes drawing fluid from the interval until an oil fraction increases over a baseline reading and pumping oil at a low rate with an upper inlet. His second patent is for a multi-contact electrical connector assembly, which features a first connector housing that electrically couples to a second connector housing. This assembly includes a moveable piston and a moveable annular piston that work together to expose and engage electrical contacts.

Career Highlights

Halani is currently employed at Schlumberger Technology Corporation, where he applies his expertise in engineering and innovation. His work at Schlumberger has allowed him to develop cutting-edge technologies that enhance the efficiency and reliability of fluid sampling and electrical connections.

Collaborations

Some of Halani's coworkers include Haoming Li and Srinand Sreedharan Karuppoor. Their collaborative efforts contribute to the innovative environment at Schlumberger Technology Corporation.

Conclusion

Pratik Halani's contributions to the fields of fluid sampling and electrical connectors demonstrate his commitment to innovation and engineering excellence. His patents reflect a deep understanding of complex systems and a drive to improve existing technologies.

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