General information

IMO:
9734862
MMSI:
601984000
Callsign:
ZSWL
Width:
0.0 m
Length:
0.0 m
Deadweight:
Gross tonnage:
TEU:
Liquid Capacity:
Year of build:
Class:
AIS type:
Other Ship
Ship type:
Flag:
South Africa
Builder:
Owner:
Operator:
Insurer:

Course/Position

Position:
Navigational status:
Undefined
Course:
115.4° / 0.0
Heading:
103.0° / 0.0
Speed:
Max speed:
Status:
moored
Location:
Naval Base Simon's Town (Naval Base Simon`s Town)
Area:
South Africa
Last seen:
2024-10-14
38 days ago
Source:
T-AIS
Destination:
ETA:
Summer draft:
Current draft:
Last update:
38 days ago
Source:
T-AIS
Calculated ETA:

Not visible with your account? Upgrade here...

Upgrade

Latest ports

Port
Arrival
Departure
Duration
2024-10-07
2024-10-15
7d 18h 51m
2024-10-06
2024-10-07
13h 3m
2024-10-06
2024-10-06
27m
2024-10-06
2024-10-06
59m
2024-10-06
2024-10-06
5h 25m
2024-10-04
2024-10-06
1d 19h 16m
2024-10-04
2024-10-04
34m
2024-10-04
2024-10-04
39m
2024-10-04
2024-10-04
42m
2024-10-04
2024-10-04
40m
Note: All times are in UTC

Latest Waypoints

Waypoints
Time
Direction
-
-
-

Latest news

South African Navy accepts new tugs into the fleet

Sun Apr 24 14:05:02 CEST 2016 arnekiel

The South African Navy has formally accepted the two new Damen ATD 2909 tugs built by Damen Shipyards Cape Town into service.The Acceptance Ceremony, under the watchful eye of Project Officer Commander Hermann van Geems, took place at Simon’s Town Naval Base on Thursday, April 21. The first tug, IMVUBU (Hippo), was delivered to the SA Navy on 9 July 2015, whilst the second, INYATHI (Buffalo), was received on 4 February this year. Acquired under Project Canter, the two tugs will replace the existing harbour and coastal stalwarts DE NEYS and DE MIST, built in 1969 and 1978 respectively. The vessel replacement contract was awarded to Damen Shipyards Cape Town (DSCT) in January 2014.

Upload News

Daily average speed

Not visible with your account? Upgrade here...

Upgrade

Distance travelled

Not visible with your account? Upgrade here...

Upgrade

Ship master data