Optimization of Sensor Placement to Capture Riser VIV Response

Abstract

Riser VIV response due to ocean current loading is a complex phenomenon governed by both the hydrodynamic and structural properties. In order to obtain better understanding of the global riser VIV response and assist in the improvement of riser VIV design, riser monitoring is being increasingly used. An optimization technique to identify the number of sensors required and the sensor locations for monitoring riser VIV fatigue is presented. The optimization technique has been developed using modal decomposition and linear regression. The paper explains why monitoring at selected locations with limited instrumentation is sufficient to capture global riser response. The principles and methods of using multiple measurement quantities in the optimization technique are also presented along with the adopted methodology, limitations and key conclusions.

Vortex-induced vibration (VIV) effects of a drilling riser due to vessel motion

“…Such an arrangement is to capture all the expected modes with a minimum possible number of loggers. An optimum placement of loggers should capture at least the quarter wavelength of the lowest mode expected [11]. The logger contains the sensors, batteries, memory card and all the associated electronics encased within a cylindrical casing [10].…”

Energy-Efficient Heterogeneous Wireless Sensor Deployment with Multiple Objectives for Structural Health Monitoring

“…After receiving the information, the CH node creates a Time Division Multiplexing Access (TDMA) [24] to be sent back to the member nodes, which also consumes energy. If the distance between the CH node and the member node is d toch , the energy consumption in CH is given by: $E_{ch13}=K\times \mathrm{sans-serif\gamma }+K\times {\mathsf{\delta }}_{fs}\times d_{toch}^2,$…”

“…By employing the ratio of Modal Clarity Index ( MCI ) [23] and Mode Shape Expansion ( MSE ) [24], Jalsan et al [25] took the information quality of the measured data collected from a HWSN into account to represent placement quality of strain and acceleration sensors. However, their work did not consider the allocation of data packets along the end-to-end path from a sensor to the base station, and therefore the optimization within HWSNs could be further improved.…”

Tahiti Online Monitoring System for Steel Catenary Risers and Flowlines

“…The sensors placed at the Touchdown Region increases the resolution of VIV characterization. A technique to obtain an optimum instrumentation locations and the number required is discussed in [6], [7] and [8].…”