RIVER STORM

General Cargo Ship, IMO 8833881

Buque llamado RIVER STORM, registrado con el número IMO 8833881, MMSI 370881000 es General Cargo Ship. Actualmente navegando bajo bandera Panama. Se construyó en 1990.

RIVER STORM photo
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Datos AIS

Rostov-on-Don, Russia
ETA: Apr 17, 01:00
Predicted ETA-
Distance / Time-
Rumbo / Velocidad 
Calado actual3.0 m
Navigation Status -
Position received
15 days ago
IMO / MMSI8833881 / 370881000
Señal de llamada3ENJ9
BanderaPanama
Eslora / Manga140 / 16 m
Istanbul Anch., Turkey
ATD: Apr 1, 03:59 UTC (18 days ago)

Ultimo puerto de recalada

Vessel Utilization

Datos maestros

Numero IMO8833881
Nombre del buqueRIVER STORM
Tipo de barcoGeneral Cargo Ship
BanderaPanama
Puerto de origen
GT4966
DWT (t)6277
Eslora (m)140
Manga (m)17
Calado (m)
Año de construccion1990
Constructor
Lugar de construccion
Astillero
TEU
Crudo (bbl)-
Gas (m3)-
Grano
Fardo
Classification Society
Armador registrado
Owner Address
Owner Website-
Owner Email-
Gerente
Manager Address
Manager Website-
Manager Email-

Historia

Nombre del buqueArmador registradoAño
BALTIMOREJuno Sg Ltd2018
SYBERIAJuno Sg Ltd2018
BALTIMOREBaltimore Sg Ltd2016
CLIOClio Sg Ltd2011
STROPUSPassat JS Co2007
FREEDOM IIIClark Sg Inc2003
FREEDOM IIIPrelude Sg Co Ltd1998
GEO PRELUDEPrelude Sg Co Ltd1996
GEO PRELUDEBalance Reefer Services1993
GEO PRELUDEPrelude Sg Co Ltd1993
FRUZHIIntership Maritime Services Inc1990

Similar vessels

Buque Construido GTDWT Tamaño (m)
KRILYON
19904966 5985140 / 16
NORTH-MOON
19904966 5985140 / 17
ELGA-1
19914966 6277140 / 17
SALMI-STREAM
19894966 5984140 / 17
QUEEN-B-II
19894966 6277140 / 17
VOLGA-4011
19914966 6277140 / 17
VOLGOGRAD
19914966 6277140 / 17
XIANG-YING
19854966 6700107 / 18
XIANG-LIAN
19854966 6700107 / 18
HAVELLAND
20124966 6052111 / 17

Descargo

RIVER STORM current position and history of port calls are received by AIS. Technical specifications, tonnages and management details are derived from VesselFinder database. The data is for informational purposes only and VesselFinder is not responsible for the accuracy and reliability of RIVER STORM data.