Flexible riser monitoring using hybrid magnetic/optical strain gage techniques through RLS adaptive filtering

  • Authors:
  • Daniel Pipa;Sérgio Morikawa;Gustavo Pires;Claudio Camerini;João Márcio Santos

  • Affiliations:
  • Materials, Equipments and Corrosion Department, Petrobras' Research and Development Center, Rio de Janeiro, RJ, Brazil;Materials, Equipments and Corrosion Department, Petrobras' Research and Development Center, Rio de Janeiro, RJ, Brazil;Materials, Equipments and Corrosion Department, Petrobras' Research and Development Center, Rio de Janeiro, RJ, Brazil;Materials, Equipments and Corrosion Department, Petrobras' Research and Development Center, Rio de Janeiro, RJ, Brazil;Materials, Equipments and Corrosion Department, Petrobras' Research and Development Center, Rio de Janeiro, RJ, Brazil

  • Venue:
  • EURASIP Journal on Advances in Signal Processing - Special issue on signal processing in advanced nondestructive materials inspection
  • Year:
  • 2010

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Abstract

Flexible riser is a class of flexible pipes which is used to connect subsea pipelines to floating offshore installations, such as FPSOs (floating production/storage/off-loading unit) and SS (semisubmersible) platforms, in oil and gas production. Flexible risers are multilayered pipes typically comprising an inner flexible metal carcass surrounded by polymer layers and spiral wound steel ligaments, also referred to as armor wires. Since these armor wires are made of steel, their magnetic properties are sensitive to the stress they are subjected to. By measuring their magnetic properties in a nonintrusive manner, it is possible to compare the stress in the armor wires, thus allowing the identification of damaged ones. However, one encounters several sources of noise when measuring electromagnetic properties contactlessly, such as movement between specimen and probe, and magnetic noise. This paper describes the development of a new technique for automatic monitoring of armor layers of flexible risers. The proposed approach aims to minimize these current uncertainties by combining electromagnetic measurements with optical strain gage data through a recursive least squares (RLSs) adaptive filter.