RISK ANALYSIS OF OFFSHORE TRANSPORTATION ACCIDENT IN ARCTIC WATERS

A methodology for risk analysis applicable to shipping in arctic waters is introduced. This methodology uses the Bowtie relationship to represent an accident causes and consequences. It is further used to quantify the probability of a ship accident and also the related accident consequences during navigation in arctic waters. Detailed fault trees for three possible ship accident scenarios in arctic transits are developed and represented as bowties. Factors related to cold and harsh conditions and their effects on grounding, foundering, and collision are considered as part of this study. To illustrate the application of the methodology, it is applied to a case of an oil-tanker navigating on the Northern Sea Route (NSR). The methodology is implemented in a Markov Chain Monte Carlo framework to assess the uncertainties arisen from historical data and expert judgments involved in the risk analysis.

INVESTIGATION OF OIL TANKER ACCIDENTS BY USING GIS

This study focuses on marine accident data regarding accidents that occurred between the years 1998-2010 for ships within the oil tanker category. Data in the study include accident reports, which are recorded in the Global Integrated Shipping Information System (GISIS) and country reports. Textual accident data in the GISIS database were tabulated, thus creating a systematic database. By using accident data from this database, a marine accidents map for oil tankers was developed via the ArcGIS 10 program, the areas with the highest accident incident rates were determined, and reasons for oil tanker accidents were revealed through the assessment of factors such as accident type, accident incident number, accident scope, ship tonnage, navigational sea area type, and accident’s impacts on the environment, economy and personnel. The study showed that very high risk areas for oil tanker marine accidents include the Singapore Strait and Oresund, and high risk areas are the Bristol Channel, Suez Channel, Strait of Hormuz, Great Belt, Piraeus, Hull, İstanbul Strait, and Amsterdam, respectively. The study also established that oil tanker accidents are related to ship tonnage and navigational sea area type.

VIABILITY OF USING ENGINE ROOM SIMULATORS FOR EVALUATION MACHINERY PERFORMANCE AND ENERGY MANAGEMENT ONBOARD SHIPS

The maritime institutions aim at contributing to reducing the adverse effects arising from the ships, machinery operation through the possibilities exit in the engine room simulators. The current paper explains the importance of engine room simulators in maritime education in general and focuses on their use in the field of evaluation and management of machinery within the engine room space. As a case study, an electric powered passenger ship and an oil tanker ship are investigated regarding applying ship energy management onboard. This investigation could be achieved using the possibilities available in TRANSIS ERS 5000. With reference to passenger ships, the results show the possibility of saving energy with a reduction of CO, SOx, CO2 and C emissions by about 7.97, 10.54, 12.36, and 20.11%, respectively. However, regarding tanker ships, the results reveal that a reduction of speed by 10% will achieve fuel saving by about 25%.

Bulk Cargo Marine Transportation Industry

Bulk cargo is being transported in large parcels to reduce transportation cost calculated per unit of cargo. Its main categories are: liquid cargo, dry bulk cargo and special bulk cargo. The deadweight of the fleet of ships carrying bulk cargo by sea increased 3.4 times in 1990-2020. Dry carriers account for 55% of the fleet and their deadweight increased 4.4 times during the same period. The Oil and oil products tankers account for 37% of the deadweights which has been increased by 2.4 times. The majority of the oil tanker tonnage (over 98%) comes from VLCC, Suezmax and Aframax type vessels. 60% of this is 200 thousands tankers sized more than dwt. The oil tanker freight market in 2002-2019 was characterized by a high level of volatility. VLCC tanker time-charter equivalent ranged from $ 8.7-95.2 thousand in 2002-2019. The variability of time-charter rates in other oil tanker categories was similar. The major part of the tonnage of product tankers (more than 90%) is derived from from LR2, LR1 and MR2 type of vessels. 43% of these are LR2 tankers. This segment of the freight market was also highly variable. LR2 tanker time-charter equivalent ranged from $ 7.5-28.8 thousand in 2011-2019 years. The main part of the tonnage of dry cargo vessels (over 69%) comes from Capesize, Panamax and Supramax type vessels. This segment of the freight market has been declining and highly volatile in recent years. The capesize-type ship time charter equivalent ranged from $ 3.5-30.8 thousands in 2011-2019. Keywords: bulk cargo, oil tanker, bulk carrier, gas carrier, chemical tanker, time charter equivalent.

Public health impacts of an imminent Red Sea oil spill

The possibility of a massive oil spill in the Red Sea is increasingly likely. The Safer, a deteriorating oil tanker containing 1.1 million barrels of oil, has been deserted near the coast of Yemen since 2015 and threatens environmental catastrophe to a country presently in a humanitarian crisis. Here, we model the immediate public health impacts of a simulated spill. We estimate that all of Yemen’s imported fuel through its key Red Sea ports would be disrupted and that the anticipated spill could disrupt clean-water supply equivalent to the daily use of 9.0–9.9 million people, food supply for 5.7–8.4 million people and 93–100% of Yemen’s Red Sea fisheries. We also estimate an increased risk of cardiovascular hospitalization from pollution ranging from 5.8 to 42.0% over the duration of the spill. The spill and its potentially disastrous impacts remain entirely preventable through offloading the oil. Our results stress the need for urgent action to avert this looming disaster.

The Correlation Between the Operating Conditions of an Oil Tanker and Fuel Consumption

This paper presents a calculation method to determine optimum operating conditions of power plants installations with internal combustion engines used on ships. The scope of this document is to make a minimum fuel consumption calculation using software Engineering Equation Solver. Analysing several operating regimes, the specific consumption of heavy fuel used on the main engine of the oil tanker is calculated. Vessel must operate at the parameters for which it was designed and built, thus satisfying all technical and economic aspects.