The objective of this paper is to present an update of various research activities of a multi-year research and development project aiming at developing dynamic positioning (DP) system technologies specifically for ice-rich environments. Since the beginning of the project in 2014, significant progress has been made in various activities that aimed at achieving the primary project objective of improving the safety and efficiency of oil and gas operations in ice infested environments through the enhancement of existing DP system technologies for efficient operations and training of DP operators in simulated realistic ice environments by providing necessary exposure to DP operations in ice. Prototypes of multiple vessel models, ice force models, and other environmental force models have been developed and are being validated. A modularized simulation and validation platform has been developed for the integration, validation, testing of all these prototypes. The research team at the National Research Council's Ocean Coastal and River Engineering (NRC-OCRE) is on the verge of delivering the complete package of the simulation platform to the project lead, the Centre for Marine Simulation (CMS) at the Fisheries and Marine Institute (MI) of Memorial University of Newfoundland, for comprehensive checking and testing of the platform by the project commercial partner Kongsberg Digital Simulation (KDS) Ltd. In this article, an update on various activities regarding the physical model testing, numerical modeling and development of simulation platform is presented. Various modules of the prototype validation platform and their integration are discussed along with their current development status. A brief discussion on various components of the ice force modeling approach, the algorithms and implementation strategies is provided. Finally, the initial results of a number of DP in ice simulation cases and comparison with validation data is presented. A brief outline of the work remaining to be completed for achieving the project objectives, along with the associated limitations are also provided.
The stationkeeping performance prediction of a Dynamic Positioning (DP) vessel greatly depends on the accurate modelling of the ice forces, which in turn depends on managed ice field characteristics (ice concentration, floe thickness, floe size, ice drift speed and direction and inclusion of brash ice and small ice pieces) and the DP system characteristics (DP gain set-ups, control algorithms etc.). Physical model testing is a key tool in understanding and validating the fundamental relationships between the ice environmental parameters and the dynamics of a DP vessel. The National Research Council's Ocean Coastal and River Engineering Research Centre (NRC-OCRE) has conducted two comprehensive series of experiments with one 1/40 scaled and one 1/19 scaled DP vessels, in various realistic managed ice conditions in the ice tank facility in early 2015 and in early 2018, respectively. The primary objective of the model testing programs was to generate a database on managed ice-DP vessel interactions, which was the core to NRC-OCRE's ice force model development and validation activities. This paper describes the model test planning, preparation of managed ice field, the procedure of the model tests and the methodologies of data analysis for the two model testing programs. In both programs, the physical and mechanical characteristics of the ice field were modelled by controlling ice concentration, ice thickness, floe size, ice strength and the ice drift speed and direction. The ice concentration ranged from a light condition (7/10th) to a very heavy condition (9/10th+) with multiple ice floe sizes ranging between 12.5m to 100m. Multiple ice thicknesses ranging between 0.4m to 2m were used for multiple ice drift speeds (0.2 knots, 0.5 knots, and 1.2 knots) with various moderate to extreme ice encroachment angles. Ice forces were not measured directly but estimated based on the thrusters’ response. In addition, model's 6-DOF motions and accelerations were recorded. Multiple high definition cameras were used to capture the global and local ice-structure interactions both placed in above water and underwater locations. For the 2018 testing program, a new ceiling based video system was introduced that captured the images of the ice basin at multiple overlapping locations, which were processed offline to obtain time sequence full image of the ice basin. Model testing results for a few representative cases are presented in this article. The DP system used in the testing demonstrated capabilities of the vessel in maintaining station for majority of test cases. The measurements as well as the videos showed complex and highly stochastic ice-ship-boundary wall interactions, particularly for high oblique cases. The data and video captured provided sufficient information for developing novel ice force models for real time applications.
This paper describes a high-fidelity numerical model that simulates vessel stationkeeping operations in ice-rich waters. The discrete event simulation engine incorporates several novel features, including new ice floe failure models for bow and midships locations; an ice floe creation strategy that facilitates rafting of ice floes; and a vessel thruster model that takes into account physical limitations such as thruster angle slew rates and propeller ramp rates. It accommodates a wide range of ice field specifications and runs in real-time on a standard desktop personal computer (Intel® Core™ i7 Processor or equivalent). The model has been validated using physical measurements of a generic drillship model in several broken ice conditions; it predicted thruster forces and motions that were comparable to those observed during dynamic positioning operations.
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