Monitoring program for the first steel catenary riser installed in a moored floating platform in deep water

Machado, R.Z.; Mourelle, Marcio Martins; Franciss, Ricardo; Silva, R.M.; Lima, Camila Silva Cavalcante; Eisemberg, R.; Oliveira, D.

doi:10.1109/oceans.1999.804918

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…This SCR was installed as part of a program conducted by Petrobras to evaluate the use of SCRs connected to moored platforms, as well as to produce design guidelines based on numerical and scale modelling (Machado Filho et al, 2001). In the design of risers, it must be ensured that the risers are capable of sustaining the tensile stress caused by the tensioning systems without distorting their performance.…”

Section: Tensile Load F Tmentioning

confidence: 99%

Finite element analysis (FEA) modelling of fiber-reinforced polymer (FRP) repair in offshore risers

Chan

Tshai

Johnson

et al. 2015

Rehabilitation of Pipelines Using Fiber-Reinforced Polymer (FRP) Composites

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Section: Tensile Load F Tmentioning

confidence: 99%

Finite element analysis (FEA) modelling of fiber-reinforced polymer (FRP) repair in offshore risers

Chan

Tshai

Johnson

et al. 2015

Rehabilitation of Pipelines Using Fiber-Reinforced Polymer (FRP) Composites

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“…The monitored data are random signals over time, discrete and originating from a monitoring process of a semi-submersible oil/gas platform, PXVIII, located in the Campos Basin, in Rio de Janeiro -Brazil [8]. The relevant variables to this study are as follows: Bending moment (NUM0 and NUM90), towards the riser's catenary and perpendicular (0°, 90°); Axial effort (NUT); Relative angle between the riser and the platform as defined in the riser's catenary plain (APR0), and relative angle between the riser and the platform as defined in the perpendicular plain to the catenary (APR90).…”

Section: Monitored Datamentioning

confidence: 99%

“…So, for each sequence, records were made approximately every 30 minutes every 3 hours, 24 hours a day (Figure 2). The sampling frequency was 1 Hz (1s), totalizing around 1800 points per sequence [8]. This period was determined by the capacity of the data acquisition system.…”

Section: Monitored Datamentioning

confidence: 99%

Neural network modeling of the nonlinear dynamic structural offshore system with hysteresis

Rocha¹,

Ebecken

Calôba³

et al. 2008

WIT Transactions on Information and Communication Technologies

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This paper proposes an empirical modeling of the system formed by the riserplatform connection, in deep water. This connection has the objective of minimizing the acting bending moment, possesses high complexity and highcriticity due to economic and environmental consequences from its fault. The main element in the joint is made of elastomeric material, which reveals nonlinear hysteresis. In addition, this whole connection system presents nonlinearities due to the action of dynamic loading and large motions. TDNN and Recurrent Neural Networks (RNN) are being investigated since they possess the ability to model nonlinear hysteretic behaviors and also dynamic systems. Simulation results have confirmed that RNN is the one that presents the best representation of the system studied. Emphasis shall be given to the additional difficulties, which arise from the utilization of real data in the modeling process for this system.

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“…ROVs must keep a safe distance from the riser, giving only a far view of its surface. Sensors can be installed directly over the riser surface to measure strain and motion (Machado et al , 1999; Ordonez et al , 2007), however, these systems present several limitations since most of them are fixed at some specific points and operate connected to data loggers, which are downloaded from time to time. Instrumented pipe inspection gauges (PIGs) can be used for internal riser inspections, but they require oil production reduction or shutdown.…”

Section: Introductionmentioning

confidence: 99%

Development of an underwater riser inspection robot

Santos¹,

Brito²,

Neves³

et al. 2013

Industrial Robot: An International Journal

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PurposeThe purpose of this paper is to describe a new multi‐sensor robotic system designed for riser, mooring lines and umbilical cables in situ underwater inspection. Due to the aggressive operation environment, such structures are susceptible to a broad spectrum of failure causes, such as aging, mechanical, chemical and thermal loads, hydrodynamic stresses, vortex‐induced vibrations and installation or fabrication non‐conformities. Current inspection methods present major risks and inefficiencies, especially as deeper fields are being reached for exploitation.Design/methodology/approachThe SIRIS (In Situ Riser Inspection Robotic System) is designed to reconstruct the actual riser profile and perform non‐destructive tests. The robot is propelled by thrusters to scroll by the outside of the catenary riser. Mechanical, electronic hardware, image acquisition and software/firmware design are described here.FindingsSimulated data from an inertial measurement unit is fused with depth sensor measurements, using a Kalman filter to reconstruct the riser profile, with small localization errors. Laboratory and sheltered waters tests were successfully executed to assess robot subsystems' performance: imaging, leakage, displacement and easiness of operation.Research limitations/implicationsThe robot prototype is designed to operate down to 250 m deep, although the final goal is reaching 3,000 m. Tests offshore, in a real oil production platform, have not been performed up to this moment. In the present version, the robot must be coupled to the riser with the aid of a scuba diver.Practical implicationsThe robot is expected to allow non‐destructive testing in risers that cannot be performed nowadays with the existing tools. The inspecting procedure is easy to operate and does imply any kind of production stopping. More accurate assessment of the riser structural condition can allow extending its life span, thus avoiding early decommissioning.Social implicationsBetter assessment of actual riser facilities status will have great impact on reducing the chance of oil spill episodes and serious environment damage.Originality/valueThe design, construction and evaluation of a robotic tool for non‐destructive riser inspection has been described. A few similar robots exist in literature but none of them is able to reconstruct the actual riser profile.

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Monitoring program for the first steel catenary riser installed in a moored floating platform in deep water

Cited by 5 publications

References 2 publications

Finite element analysis (FEA) modelling of fiber-reinforced polymer (FRP) repair in offshore risers

Finite element analysis (FEA) modelling of fiber-reinforced polymer (FRP) repair in offshore risers

Neural network modeling of the nonlinear dynamic structural offshore system with hysteresis

Development of an underwater riser inspection robot

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