Research output

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2008
Published
Real -time Well Condition Monitoring in Extended Reach Wells
Thonhauser, G., 2008, Real -time Well Condition Monitoring in Extended Reach Wells. p. 33-38
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Real-time activity detection helps identifying and minimizing hidden lost time
Thonhauser, G., 2008, In: World Oil. p. 39-39
Research output: Contribution to journal › Article › Research › peer-review
2007
Published
Mastering Real-Time Data Quality Control - How to Measure and Manage the Quality of (Rig) Sensor Data
Thonhauser, G., 2007, SPE/IADC Middle East Drilling Technology Conference & Exhibition
. p. 1-10
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2006
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
Hybrid Simulation using Neural Networks to Predict Drilling Hydraulics in real Time
Fruhwirth, R. K., Thonhauser, G. & Mathis, W., 2006, 2006 SPE Annual Technical Conference and exhibition. p. 0-0
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Time Dependent Behavior of Drilling Fluids under Cyclic Temperature and Pressure Loads
Thonhauser, G., 2006, In: Proceedings of the Institution of Mechanical Engineers / B (Part B, Journal of engineering manufacture). p. 0-0
Research output: Contribution to journal › Article › Research › peer-review
Published
Use of Real-Time Rig Sensor Data to Improve Daily Drilling reporting, Benchmarking and Planning - A Case Study
Thonhauser, G., 2006, In: Proceedings of the Institution of Mechanical Engineers / B (Part B, Journal of engineering manufacture). p. 0-0
Research output: Contribution to journal › Article › Research › peer-review

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Research Portal

Research output

Real -time Well Condition Monitoring in Extended Reach Wells

Real-time activity detection helps identifying and minimizing hidden lost time

Mastering Real-Time Data Quality Control - How to Measure and Manage the Quality of (Rig) Sensor Data

Automated Reporting Using Rig Sensor Data Enables Superior Drilling Project Management

Hybrid Simulation using Neural Networks to Predict Drilling Hydraulics in real Time

Time Dependent Behavior of Drilling Fluids under Cyclic Temperature and Pressure Loads

Use of Real-Time Rig Sensor Data to Improve Daily Drilling reporting, Benchmarking and Planning - A Case Study

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