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You searched for +publisher:"University of Texas – Austin" +contributor:("Ashok, Pradeepkumar"). Showing records 1 – 6 of 6 total matches.

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University of Texas – Austin

1. -9820-4620. Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation.

Degree: MSin Engineering, Mechanical Engineering, 2015, University of Texas – Austin

 This thesis introduces a standard framework for evaluating and planning for desired autonomous (or semi-autonomous) operations, then applies the framework, in detail, to the task… (more)

Subjects/Keywords: Machine vision; Computer vision; Automation; Robot; Robots; Robotics; Automate; Automated; Railroad; 3d; Camera; Point cloud; Algorithm; Design; Standardization; Standardized; Data mining; Neural network; Real-time; Real time; Performance map; Performance maps; Mobile robot; Mobile robotics

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APA (6th Edition):

-9820-4620. (2015). Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31986

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-9820-4620. “Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation.” 2015. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/31986.

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Author name may be incomplete

MLA Handbook (7th Edition):

-9820-4620. “Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation.” 2015. Web. 20 Sep 2020.

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Author name may be incomplete

Vancouver:

-9820-4620. Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/31986.

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Author name may be incomplete

Council of Science Editors:

-9820-4620. Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31986

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Author name may be incomplete


University of Texas – Austin

2. -7480-6152. Improved CBM of top drives using advanced sensors and novel analysis techniques.

Degree: MSin Engineering, Mechanical engineering, 2015, University of Texas – Austin

 Although technology in the oil and gas industry is always advancing, there are still numerous tools, sensors, and analysis techniques used regularly in the field… (more)

Subjects/Keywords: CBM; Top drives; Condition based monitoring; Condition based maintenance; Monitoring analysis; Vibration analysis; Oil analysis; Thermal analysis

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APA (6th Edition):

-7480-6152. (2015). Improved CBM of top drives using advanced sensors and novel analysis techniques. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41243

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7480-6152. “Improved CBM of top drives using advanced sensors and novel analysis techniques.” 2015. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/41243.

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Author name may be incomplete

MLA Handbook (7th Edition):

-7480-6152. “Improved CBM of top drives using advanced sensors and novel analysis techniques.” 2015. Web. 20 Sep 2020.

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Author name may be incomplete

Vancouver:

-7480-6152. Improved CBM of top drives using advanced sensors and novel analysis techniques. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/41243.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7480-6152. Improved CBM of top drives using advanced sensors and novel analysis techniques. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/41243

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Author name may be incomplete


University of Texas – Austin

3. -2117-3800. An automated methodology for rapid information extraction from large drilling datasets.

Degree: MSin Engineering, Civil Engineering, 2019, University of Texas – Austin

 Extracting information and knowledge from large datasets often takes a significant amount of time in collecting, cleaning and processing the data. This process, from data… (more)

Subjects/Keywords: Big data; Data analytics; Storyboarding; MongoDB; NoSQL; Machine learning; Spider bots; Automation

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APA (6th Edition):

-2117-3800. (2019). An automated methodology for rapid information extraction from large drilling datasets. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2045

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-2117-3800. “An automated methodology for rapid information extraction from large drilling datasets.” 2019. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://dx.doi.org/10.26153/tsw/2045.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-2117-3800. “An automated methodology for rapid information extraction from large drilling datasets.” 2019. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-2117-3800. An automated methodology for rapid information extraction from large drilling datasets. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Sep 20]. Available from: http://dx.doi.org/10.26153/tsw/2045.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-2117-3800. An automated methodology for rapid information extraction from large drilling datasets. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2045

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

4. Ambruș, Adrian Marius. Modeling and control of managed pressure drilling operations.

Degree: PhD, Mechanical Engineering, 2017, University of Texas – Austin

 The upstream oil and gas industry has witnessed a marked increase in the number of wells drilled in areas with elevated subsurface formation pressures and… (more)

Subjects/Keywords: Managed pressure drilling; Multi-phase hydraulic modeling; Robust control; Event detection

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APA (6th Edition):

Ambruș, A. M. (2017). Modeling and control of managed pressure drilling operations. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/54113

Chicago Manual of Style (16th Edition):

Ambruș, Adrian Marius. “Modeling and control of managed pressure drilling operations.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/54113.

MLA Handbook (7th Edition):

Ambruș, Adrian Marius. “Modeling and control of managed pressure drilling operations.” 2017. Web. 20 Sep 2020.

Vancouver:

Ambruș AM. Modeling and control of managed pressure drilling operations. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/54113.

Council of Science Editors:

Ambruș AM. Modeling and control of managed pressure drilling operations. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/54113

5. -7489-3292. Path optimization advisory and analytical tools for directional drilling.

Degree: MSin Engineering, Petroleum Engineering, 2017, University of Texas – Austin

 In directional drilling, well positioning and drilling instructions are planned based on human experiences and may require excessive computation and drilling times. Directional drilling process… (more)

Subjects/Keywords: Directional drilling; Path optimization; Path correction; Drilling efficiency

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APA (6th Edition):

-7489-3292. (2017). Path optimization advisory and analytical tools for directional drilling. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62949

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7489-3292. “Path optimization advisory and analytical tools for directional drilling.” 2017. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/62949.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-7489-3292. “Path optimization advisory and analytical tools for directional drilling.” 2017. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7489-3292. Path optimization advisory and analytical tools for directional drilling. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/62949.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7489-3292. Path optimization advisory and analytical tools for directional drilling. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62949

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

6. -8542-1274. Automated computer vision system for real-time drilling cuttings monitoring.

Degree: MSin Engineering, Petroleum Engineering, 2019, University of Texas – Austin

 In rotary drilling operations, cuttings are continuously transported to the surface by drilling fluid. Real-time monitoring of cuttings and cavings is crucial for early detection… (more)

Subjects/Keywords: Automation; Cuttings; Real-time monitoring; Cuttings transport; 3D scanning

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APA (6th Edition):

-8542-1274. (2019). Automated computer vision system for real-time drilling cuttings monitoring. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/72723

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-8542-1274. “Automated computer vision system for real-time drilling cuttings monitoring.” 2019. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/72723.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-8542-1274. “Automated computer vision system for real-time drilling cuttings monitoring.” 2019. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8542-1274. Automated computer vision system for real-time drilling cuttings monitoring. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/72723.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8542-1274. Automated computer vision system for real-time drilling cuttings monitoring. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://hdl.handle.net/2152/72723

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

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