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Sensor Technology Research to Support Drilling Automation

​Advances in Sensor Technology Research to Support Drilling Automation

Presenter

Dr. Pradeepkumar Ashok
Senior Research Scientist, Rig Automation and Performance Improvement in Drilling (RAPID) Group, UT Austin
Dr. Ashok is a PhD in Mechanical Engineering and a Senior Research Scientist in the Rig Automation and Performance Improvement in Drilling (RAPID) Group at UT Austin. He is also the CTO of a startup Intellicess that was spun out of UT to commercialize a technology that allows one to differentiate between sensor and process faults. Previously he was the Program Manager and Chief Scientist of the Robotics Research Group at U.T., where he managed automation projects funded by ONR, NASA, DARPA, John Deere, Union Pacific and Intuitive Surgical. He has authored many publications on sensor data fusion, decision theory, automation and controls. He directs the drilling data analytics student program at UT.

Date & Time

12/10/2019 at 9:30 AM (EST)

The University of Texas at Austin has been working on advanced sensor technologies over the last 6 years in a bid to improve the safety and efficiency of drilling operations, and to reduce uncertainty with regards to data and situational awareness. The sensor technologies include a cuttings transport sensor, an X-Ray densitometer, an automated rheometer and a bit box sensor. All these sensors are enabled by recent advances in hardware and software technologies. This presentation will introduces all the four technologies, their working principles, the prototypes built and results from field trials. These sensors are expected to play a big role as we move towards drilling automation.

All content contained within this webinar is copyrighted by Dr. Pradeepkumar Ashok and its use and/or reproduction outside the portal requires express permission from Dr. Pradeepkumar Ashok.



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