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Dive into the research topics where Michael Behounek is active.

Publication


Featured researches published by Michael Behounek.


SPE Annual Technical Conference and Exhibition | 2015

A Framework for Transparency in Drilling Mechanics and Dynamics Measurements

John D. Macpherson; Pastusek Paul; Michael Behounek; Richard Harmer


Distributed Computing | 2013

Drilling Systems Automation - Preparing for the Big Jump Forward

John P. de Wardt; Michael Behounek; Clinton Dane Chapman; Devi Putra


Archive | 2015

Plug the value leak: Fix your drilling data

Pradeepkumar Ashok; Adrian Ambrus; Eric van Oort; Nathan Zenero; Michael Behounek


Distributed Computing | 2017

Taking a Different Approach to Drilling Data Aggregation to Improve Drilling Performance

Michael Behounek; Evan Hofer; Taylor Thetford; Matthew White; Lisa Yang; Marcos Taccolini


Archive | 2012

Well Construction Automation - Preparing for the Big Jump

John P. de Wardt; Clinton Dane Chapman; Michael Behounek


SPE Liquids-Rich Basins Conference - North America | 2018

Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics

Mojtaba Shahri; Bahri Kutlu; Taylor Thetford; Brian Nelson; Timothy Wilson; Michael Behounek; Adrian Ambrus; Pradeepkumar Ashok


SPE Annual Technical Conference and Exhibition | 2018

Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study

Mojtaba Shahri; Timothy Wilson; Taylor Thetford; Brian Nelson; Michael Behounek; Adrian Ambrus; John D’Angelo; Pradeepkumar Ashok


Proceedings of the 6th Unconventional Resources Technology Conference | 2018

Spider Bots: Database Enhancing and Indexing Scripts to Efficiently Convert Raw Well Data Into Valuable Knowledge

Gurtej S. Saini; Hong-Chih Chan; Pradeepkumar Ashok; Eric van Oort; Michael Behounek; Taylor Thetford; Mojtaba Shahri


Proceedings of the 6th Unconventional Resources Technology Conference | 2018

Monitoring Wellbore Quality in Real-Time Using a Geometrically Derived Tortuosity Metric

John D’Angelo; Pradeepkumar Ashok; Eric van Oort; Mojtaba Shahri; Brian Nelson; Taylor Thetford; Michael Behounek


IADC/SPE Drilling Conference and Exhibition | 2018

Self-Learning Probabilistic Detection and Alerting of Drillstring Washout and Pump Failure Incidents During Drilling Operations

A. Ambrus; P. Ashok; D. Ramos; A. Chintapalli; A. Susich; Taylor Thetford; Brian Nelson; Mojtaba Shahri; J. McNab; Michael Behounek

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Pradeepkumar Ashok

University of Texas at Austin

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Adrian Ambrus

University of Texas at Austin

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Eric van Oort

University of Texas System

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