Department Geoenergy

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Research output

Published
Automatic Threshold Tracking of Sensors Data Using Expectation Maximization Algorithm
Arnaout, A., Esmael, B., Thonhauser, G. & Fruhwirth, R., 2011, HIS11, 11th International Conference On Hybrid Intelligent Systems. p. 551-554
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Automatic First Break Detection Using Support Vector Machine Classification
Yalcinoglu, L., Millahn, K. & Fruhwirth, R. K., 2011. 4 p.
Research output: Contribution to conference › Paper › peer-review
Published
Automated System for Drilling Operations Classification Using Statistical Features
Thonhauser, G., 2011, SPE Enhanced Oil Recovery Conference. p. 87-95
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Automated System for Drilling Operations Classification Using Statistical Features
Esmael, B., Arnaout, A., Thonhauser, G. & Fruhwirth, R., 2011, HIS11, 11th International Conference On Hybrid Intelligent Systems. p. 196-199
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Automated Reporting Using Rig Sensor Data Enables Superior Drilling Project Management
Thonhauser, G. & Mathis, W., 2006, 2006 SPE Annual Technical Conference and. p. 0-0
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Automated Real Time Hookload and Torque Monitoring
Thonhauser, G., 2008, IADC/SPE Drilling Conference Orlando. p. 36-40
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Automated Operations Classification using Text Mining Techniques
Esmael, B., Arnaout, A., Fruhwirth, R. K. & Thonhauser, G., 2010. 4 p.
Research output: Contribution to conference › Paper › peer-review
Published
Automated Monitoring of Torque and Drag in Real-time
Zöllner, P., 2009, 87 p.
Research output: Thesis › Master's Thesis
Published
Automated Failure Detection Workflow for Electrical Submersible Pump Surveillance
Hoy, M. G., 2012
Research output: Thesis › Master's Thesis
Published
Automated Drilling The Well on Paper
Veit, S. A., 2010
Research output: Thesis › Master's Thesis

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Research Portal

Department Geoenergy

Research output

Automatic Threshold Tracking of Sensors Data Using Expectation Maximization Algorithm

Automatic First Break Detection Using Support Vector Machine Classification

Automated System for Drilling Operations Classification Using Statistical Features

Automated System for Drilling Operations Classification Using Statistical Features

Automated Reporting Using Rig Sensor Data Enables Superior Drilling Project Management

Automated Real Time Hookload and Torque Monitoring

Automated Operations Classification using Text Mining Techniques

Automated Monitoring of Torque and Drag in Real-time

Automated Failure Detection Workflow for Electrical Submersible Pump Surveillance

Automated Drilling The Well on Paper

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