ANN-Based Decision Making in Station Keeping for Geotechnical Drilling Vessel
نویسندگان
چکیده
Offshore vessels (OVs) often require precise station-keeping and some vessels, for example, involved in geotechnical drilling, generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these are equipped with both systems to cover all ranges water depths. However, determining which system a particular operational scenario depends on many factors requires significant balancing terms cost-benefit. Therefore, this research aims develop platform that will determine the cost SM DP Operational information data collected several field operations, Artificial Neural Networks (ANN) trained using those samples. After that, ANN is used predict components any given environmental situation, fieldwork duration depth. Later, total investigated against depth most cost-effective option. The results validated two scenarios specific vessel. This decision-making algorithm can be further developed by adding up more various applied development sustainable business models OVs operators.
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ژورنال
عنوان ژورنال: Journal of Marine Science and Engineering
سال: 2021
ISSN: ['2077-1312']
DOI: https://doi.org/10.3390/jmse9060596