Development and sea trial investigation for deepwater drilling riser specialized soft hang-off system during transit

Xu, Li; Wang, Jinlong; Li, Yanwei; Sheng, Leixiang; Li, Chaowei; Liu, Jian; Li, Mengbo; Liu, Xiuquan

doi:10.1016/j.oceaneng.2021.110310

Cited by 14 publications

(4 citation statements)

References 10 publications

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“…with u M being the constant bound. Clearly, P H (x 1 (t)) and P L (x 1 (t)) in model (1) and the saturated control input u(q(t)) cause the nonlinear dynamics.…”

Section: Tensioner Model With Saturated Control Inputmentioning

confidence: 99%

“…Remark 2. In the existing works, [5][6][7]12,14,17,27,28 the model ( 7) is a well-used universal model of DDRSs, where the tension force F(t) is described by (1). In practice, F(t) is produced by the top tensioner and it is essentially nonlinear with respect to the displacement x 1 (t).…”

Section: Riser-tensioner Modelmentioning

confidence: 99%

“…In ocean engineering, deepwater drilling riser systems (DDRSs) are prevalent marine equipments for exploring and transporting the gas and oil resources. [1][2][3][4] To ensure the operational safety of risers in several harsh conditions such as earthquake, ocean current, and storm surge, the emergency disconnection between the riser and the wellhead on seabed must be implemented. 5 In this situation, the fluids in the riser can produce an accelerated spring back and forth motion, which is called recoil response.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive finite‐time recoil control of deepwater drilling riser systems with nonlinear forces and saturation input using switched event‐triggered scheme

Cheng,

Zhang,

Zhu

2024

Intl J Robust & Nonlinear

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This article investigates the finite‐time recoil control problem of deepwater drilling riser systems with nonlinear friction force, tension force and saturation input. For the friction force, a new approximation model based on radial basis function neural networks is presented, which not only can ensure a better approximation effect than the sine‐function type and exponential‐polynomial‐function type computational models, but also can be easily used for control design. Different from the existing linear optimal control methods, a neural‐network‐based adaptive backstepping control method is proposed to deal with the nonlinear friction and tension forces, which can achieve better recoil control responses. An auxiliary system combining with the change of coordinates is employed to compensate the saturation input effect. To prolong the average release interval of control input while preserving satisfied control performance, a new switched event‐triggered control (ETC) scheme is developed, in which the triggering conditions are switched between the fixed and relative thresholds based on the strength of control signal. With the event‐triggered controller, the practical finite‐time stability condition of recoil control system is derived and the Zeno behavior is avoided. Numerical results are given to show the advantages of the proposed methods in handling the model nonlinearities, finite‐time stability and ETC performance of riser‐tension systems.

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“…with u M being the constant bound. Clearly, P H (x 1 (t)) and P L (x 1 (t)) in model (1) and the saturated control input u(q(t)) cause the nonlinear dynamics.…”

Section: Tensioner Model With Saturated Control Inputmentioning

confidence: 99%

Section: Riser-tensioner Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive finite‐time recoil control of deepwater drilling riser systems with nonlinear forces and saturation input using switched event‐triggered scheme

Cheng,

Zhang,

Zhu

2024

Intl J Robust & Nonlinear

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“…All these activities involve, drilling, sampling, and geognostic investigation of the sea-bottom. There is a wide literature concerning the development of solutions for deep water applications: recent innovative studies are focused on soft hang-off system, 3 survivability, 4 and control 5 of these systems in complex and harsh operational scenarios. All these technologies cannot be used for proposed application: operational conditions are also different in term of desired costs, dimensions, and overall transportability of the desired systems.…”

Section: Introductionmentioning

confidence: 99%

Modeling of an underwater drilling platform for very near shore applications

Pugi

Cocci

Frillici

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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The development of the blue economy involves the construction of marine infrastructures (harbors, marine wind farms, underwater data centers, etc.). All these activities require a geological investigation of the sea bottom. For nearshore and very near-shore applications the most common solution is represented by the adoption of fixed jack-up platforms; however, transportation and deployment of this kind of infrastructure are quite expensive and time-consuming. Also, the adoption of floating drilling technologies that are currently used for offshore applications is often difficult or impossible in shallow waters. In this work, an underwater drilling platform designed for near-shore applications is investigated. The proposed system is designed and optimized for rapid deployment in different operational conditions. This work is focused on the description of this innovative solution including simulation models that have been developed for this activity. Also, simulation models represent an original contribution because they are able to simulate complex interactions of the drilling pod with the surrounding water, with the support ship and with the excavated sea bottom.

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