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DYNAMIC POSITIONING BASED ON RISER RESPONSE CRITERIA: ILLUSTRATION
 
General
A simulation study of a dynamic positioned semi-submersible conduction offshore drilling is carried out to demonstrate the effect of intoducing criteria related to the riser response. The floater is a semi-submersible which is equipped with 4 azimuthing thrusters each able to produce 1000 kN located at the four corners at the two pontoons.
The operational draught is equal to 24 m, vessel mass at operational draught is 45000 ton. the length is 110 m. and the breadth is 75 m. Radius of gyration in roll is 30 m, in pitch equal to 33 m and in yaw 38 m. The undamped resonance periods in roll and pitch are found to be equal to 55 s and 60 s. respectively.
The riser properties are the same as applied throughout the present example study. The current profile and the current surface velocity as a function of time are assumed to be known. The latter is shown in Figure 6. A time window of 4000 seconds is applied in the simulation. Here, the mean values and variances (and possibly higher moments if relevant) of the top and bottom angle response processes are taken as known based on the measurements. However, the estimation of these values based on measurements is a topic on its own. This applies in particular to cases where prediction of the mean value and variance into the near future is relevant, see e.g. Leira (1998).
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Figure 6. Surface current velocity as a function of time
The following variance is assumed to apply for the top angle: It is constant and equal to 0.2 (degrees)2 until 500 seconds. and is then increased linearly to 0.55 (degrees)2 at 4000 seconds. The variance of the bottom angle is taken as one fourth of the variance for the top angle.
 
Dynamic positioning based on fixed set-point
The simplest dynamic position scheme is based on a fixed set point which is typically just above the wellhead. For (his case, the reliability indices for the top and bottom angles can be computed as a function of time. The reliability index is defined by the relationship Pf = Φ(-β) where Pf is the probability of failure for a given time interval, and Φ() is the standard normal cumulative distribution function. The probability of failure is computed based on a Gumbel extreme value distribution as referred to a 20 minute stationary period. The probability is obtained from the corresponding cumulative distribution function by inserting the critical values of the respective angles. The reliability index is subsequently obtained from the inverse standard normal distribution function. Presently, the critical value for the top angle is set to 5 degrees. and to 3 degrees for the bottom angle.
The reliability indices as functions of time are shown in Figure 7. It is seen that the reliability index for the bottom angle becomes zero and negative in the time interval from 1100 to 2000 seconds. This implies that the failure probability exceeds 50%. Typically, a much smaller probability would be permitted. in particular for the bottom angle. If a "reliability index monitoring" is performed, some kind of action should hence be undertaken. Such an action could e.g. correspond to moving the surface floater.
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Figure 7. Reliability indices as functions of time for fixed set-point above well-head
Dynamic positioning based on fixed weighting
The most direct way of taking the riser angle criteria into account in the dynamic positioning algorithm is by application of equations (12) to (15). This algorithm is based on the instantaneous mean values of the riser angles. and its application is illustrated in Sorensen et al.(2000a). For such a positioning algorithm, the dynamic response components are excluded from the control loop. However, "reliability index monitoring" (or monitoring of maximum dynamic measured angles) can still be performed to decide when counteracting measures need to be applied.
Application of regression curves was investigated for this control scheme, and was found to give identical results to an algorithm based on a complete Finite Element Model.
 
Dynamic positioning based on criteria involving reliability indices
Considering the variation in reliability indices as a function of time for both the lower and upper angle, it seems natural to consider dynamic position control schemes that are more or less based on safety index target levels. It is possible to establish a control scheme completely based on reliability-index criteria. However, here we consider criteria based on a linear combination of fixed weights and running weights. The latter are computed on-line as functions of the instantaneous values of the reliability indices.
The basic version of this scheme is based on making the weight factors for the top and bottom angles become linear combinations of a fixed term plus a function of the instantaneous reliability index. Leira et al. (2001):
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where βT is the estimated reliability index for the top angle, βB is the estimated reliability index for the bottom angle, βCRt andβCR_b are the critical reliability indices for the top and bottom angles. and C1, C2 are constants. The critical index is taken as 2.0 for the bottom angle and 1.0 for the top angle. The incremental index Δβ is a "smoothing increment" for the reliability index to avoid singularities in the expression.
The reliability indices corresponding to this strategy are shown in Figure 8.
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Figure 8. Reliability indices as functions of time for varying setpoint applying reliability-based weighting factors.
SUMMARY AND CONCLUSIONS Based on the above parametric studies and numerical simulation of different control algorithms. the following observations were made:
・ Application of linear regression curves for the riser angles versus the vessel offset. within the control loop, yields satisfactory results as compared to a FEM response analysis.
・ For the upper riser angle. there exists the possibility of significant low-frequency amplification if the vessel motion coincides with one of the lowermost riser natural frequencies. This is most relevant for deep-water risers.
. For wave-induced dynamics the amplification of the upper angle is less than for the low-frequency response. However. this response depends strongly on the phase angle of the floater and the wave height. This dynamic component must accordingly also be taken into consideration.
・ Positioning schemes based solely on mean values are not able to capture dynamic effects properly
・ The applied reliability indices are able to reflect the dynamic response. The simplest approach for incorporation or these effects corresponds to "reliability index monitoring".
・ As a next step, the reliability indices can also be taken into account for evaluation of relative weights as part of an online process. This was found to provide adequate values of the reliability indices for the example riser configuration.
Generalization of the algorithm for optimal positioning of the floater can easily be extended to cover other types of riser configurations. Examples are risers which are restricted at the lower end. which is frequently achieved by introducing a taper-joint to make the rotation angle zero. The design criteria entering the control loop will then be based on allowable stresses rather than allowable angles.
 
ACKNOWLEDGEMENT
ABB Industry AS is gratefully acknowledged for fruitful cooperation.
 
REFERENCES
Balchen, J. G., N. A. Jenssen. E. Mathisen and S. Saelid (1980). A Dynamic Positioning System Based on Kalman Filtering and Optimal Control. Modelnig, Identification and Control, Vol.(1). No. (3),pp. 135-163.
Chen, Qiaofeng (2001): "Analysis and Control of Riser Angles", Master Thesis. Dept. of Marine Structures, Faculty of Marine Technology, NTNU, Trondheim. Norway.
Engseth, A., Bech, A. and Larsen,C. (1988):"Efficient Method for Analysis of. Flexible Risers". BOSS'88. Behaviour of Offshore Structures, Trondheim.
Fossen, T. I. (1994): "Guidance and Control of Ocean Vehicles", John Wiley & Sons, Chichester, UK.
Imakita, A., S. Tanaka. Y. Amitani and S. Takagawa (2000). Intelligent Riser Angle Control DPS. In proc of ETCE/OMAE2000 Joint Conf., OMAE2000/OSU OFT-30001. New Orleans, US.
Leira, B.J. (1998). On-line Control Algorithm based on Reliability Methods. Proc. OMAE, Lisbon, Portugal. Leira. B. J.: Sorensen,A.j., Strand,J.P and Larsen, C.M.(2001):"A Reliability-Based On-line Dynamic Positioning Control Algorithm". to be presented at ICOSSAR 2001 , Newport Beach, USA.
Sorensen, A. J., S. I. Sagatun and T. I. Fossen (1996). Design of a Dynamic Positioning System Using Model-Based Control. J. of Control Eng. Practice, Vol. (4), No. (3), pp. 359-368.
Sorensen, A.J.. B. Leira, J.P. Strand and C.M.Larsen (2000a)Modelling and Control of Riser Angles and Stresses in Dynamic Positioning. Proc. 5ht IFAC Conf. On Manoeuvring and Control of Marine Craft -MCMC'2000. pp. 275-280. Aalborg. Denmark
Sorensen. A. J., and J. P. Strand (2000b). Positioning of Small-Waterplane-Area Marine Constructions with Roll and Pitch Damping.J. of Control Eng. Practice, Vol- (8), No. (2), pp. 205-213.








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