Real-time Monitoring of Subsea Gas Pipelines, Offshore Platforms, and Ship Inspection Scores Using an Automatic Identification System

Artana, Ketut Buda; Pitana, Trika; Dinariyana, D. P.; Ariana, I Made; Kristianto, Dwi; Pratiwi, Emmy

doi:10.1007/s11804-018-0003-y

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…The weighted distance defined in (9) does not consider the geo-distance between two waymark points. This is due to the fact that the refined candidate set Q n ⊆ Q n contains waymark points that are sufficiently close to the current reference point, as shown in (4).…”

Section: Waymark Point Selectionmentioning

confidence: 99%

“…For instance, the Automatic Identification System (AIS), a global autonomous tracking system that has been made compulsory for ships exceeding 300 tons, provides abundant and near real-time information about ships. Apart from static information such as MMSI, ship name and ship type, the AIS messages also contain the location information of the ship (longitude (Lon) and latitude (Lat)) and information about its traveling (e.g., speed over ground (SOG), course over ground (COG) and heading) [9]. This information, when gathered in large scale, can be used to characterize the voyage patterns in a corresponding area and can further be exploited to predict vessel trajectory.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Long-Term Trajectory Prediction for Oil Tankers via Grid-Based Clustering

Liu

et al. 2023

JMSE

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Vessel trajectory prediction is an important step in route planning, which could help improve the efficiency of maritime transportation. In this article, a high-accuracy long-term trajectory prediction algorithm is proposed for oil tankers. The proposed algorithm extracts a set of waymark points that are representative of the key traveling patterns in an area of interest by applying DBSCAN clustering to historical AIS data. A novel path-finding algorithm is then developed to sequentially identify a subset of waymark points, from which the predicted trajectory to a fixed destination is produced. The proposed algorithm is tested using real data offered by the Danish Maritime Authority. Numerical results demonstrate that the proposed algorithm outperforms state-of-the-art vessel trajectory prediction algorithms and is able to make high-accuracy long-term trajectory predictions.

show abstract

Section: Waymark Point Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long-Term Trajectory Prediction for Oil Tankers via Grid-Based Clustering

Liu

et al. 2023

JMSE

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“…AISITS has 3 main features e.g. Pipeline Early Warning System (PEWS), Ship Inspection, and Ship Movement Recording [7].…”

Section: Aisits As a Platform For E-navigationmentioning

confidence: 99%

Milestone For E-Navigation: A Concept for Navigational Safety Platform by Means of AISITS

Artana

Dinariyana

Ariana

et al. 2020

prc

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The implementation of Automatic Identification System (AIS) was based on IMO Resolution MSC.74 (69) Annex III. This has changed the pattern of communication between ships as well as the pattern of communication of ships to the shore. At the same time, this has also encouraged a variety of new research and innovations, which are mainly due to the extremely valuable data transmitted by AIS. AIS's static and dynamic data when combined with various other data such as environmental data, geographical data, ship databases, territorial data will provide opportunities for the emergence of various IT-based applications that can be utilized not only to ensure the safety of ships, but also can be used for environmental protection and guarantee safety of offshore facilities. Various research and innovations have been developed by various educational and research institutions, including ITS in the context of utilizing AIS data as a basis for producing applications in the platform to support e-navigation with the main objectives are to increase the safety of ships at sea and environmental protection. Several applications developed by ITS have also been utilized by the oil and gas industry. This paper presents the implementation of AIS in Indonesia and explain the effort of adopting AISITS as the platform for e- navigation to ensure the safety of navigation in TSS Sunda Strait and Lombok Strait.

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“…In submarine pipeline transport [4], the pipeline is the main component of the system. Based on the type of freight, pipeline transport methods can be divided into slurry pipelines [5], gas pipelines [6], oil pipelines [7], and capsule pipelines [8,9]. The efficiency and safety of these methods both have a close relationship with the dynamic process of transport, especially the hydrodynamic forces and corresponding responses [10].…”

Section: Introductionmentioning

confidence: 99%

Modal Analysis of the Hydrodynamic Force of a Capsule in a Hydraulic Capsule Pipeline

Zhao,

Li,

Sun

2023

JMSE

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Hydrodynamic forces influence the efficiency and safety of pipeline transport in ocean engineering. A capsule pipeline is an example of pipeline transportation. In this work, a dynamic model is proposed to explain the oscillating motion of a capsule in a hydraulic capsule pipeline (HCP). The main study was conducted using a modal analysis of hydrodynamic forces acting on a capsule, which could be divided into frictional drag and pressure drag forces. The results indicated the presence of independent modes with different contributions to the hydrodynamic forces. Ultimately, the first to fiftieth modes represented 94~97.3% of the hydrodynamic force contributions. These modes had their own frequency ranges and power spectrum density (PSD) functions, and the frictional drag and pressure drag were both found to coincide with the narrow-band characteristics of the lower-order modes. However, the PSD functions of the frictional drag were found to fulfill the wide-band characteristics corresponding to the higher-order modes. Then, coherent structures were extracted. As the mode order increased, the vortices became more fragile and the frequency became higher. This phenomenon coincided with an increase in the frequency of the time coefficient peak, which became larger. This work could provide new perspectives on the hydrodynamic forces of pipeline transport, especially its dynamic analysis of the interaction between a rigid capsule and fluid flow.

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Real-time Monitoring of Subsea Gas Pipelines, Offshore Platforms, and Ship Inspection Scores Using an Automatic Identification System

Cited by 8 publications

References 5 publications

Long-Term Trajectory Prediction for Oil Tankers via Grid-Based Clustering

Long-Term Trajectory Prediction for Oil Tankers via Grid-Based Clustering

Milestone For E-Navigation: A Concept for Navigational Safety Platform by Means of AISITS

Modal Analysis of the Hydrodynamic Force of a Capsule in a Hydraulic Capsule Pipeline

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