Virtual sensor for stress monitoring in shafts using distributed-lumped model
The drilling process is a major part of the hydrocarbon extraction process from the earth. It is a very expensive process where any delay during the drilling process costs a substantial amount of money to the operators. To reduce the unexpected delays due to the shaft failure continuous monitoring of soil cutting forces are desirable. To enable monitoring of cutting forces during drilling operations a virtual sensor based on Distributed-Lumped (D-L) model of shafts is proposed. By measuring the input torque to the drive system drilling shaft the cutting forces at the end of the drilling shaft can be estimated using the D-L model. The measurement of the vibration signals due to the cutting forces are very important as they can be used for the control of the drive system, condition monitoring, the fault diagnosis and the geology of the soil.
This thesis describes the technological challenges for the measurement of the vibration signals from a cutting tool operating at a depth of a few thousand meters (<7000 meters), it proposes a virtual sensor development method using a hybrid modelling technique (Distributed-Lumped model). There are several problems relating to the task of monitoring the drilling operation remotely and under harsh environments.
Generated vibrations are measured from a rotating tool and should be transferred to a stationary point. This process requires electric power to the transducers, which are attached onto the rotating tool, so the required signal can be received and processed for further analysis. This project deals with the development of a monitoring system for drilling systems using a virtual sensor which predicts the status of the torsional vibration at the end of the drill string (shaft). It is based on the frequency analysis of the vibration signal measured by accelerometers on the rotating shaft at the input side of the drill string. The signal from the rotating tool is transferred using a Short Distance Sensor Telemetry (SDST) which is the input to the virtual sensor which is capable of predicting the torsional vibration at cutting tool. Finally, the measured data from the drill rig have been analysed and compared with the results of the virtual sensor where it can be seen that the virtual sensor provides compatible results with the real data.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Rights holder© Panagiotis Athanasiou
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesA Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy of Loughborough University.
Supervisor(s)Antonios Pezouvanis ; Kambiz Ebrahimi
This submission includes a signed certificate in addition to the thesis file(s)
- I have submitted a signed certificate