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1
Real-Time Monitoring
and
Integrated Forecasting
of
Arctic Ice Floes
P. AnnoK. Soofi
C. Yetsko D. Glover
J. Santosuosso B. Cobb
2
above the Arctic Circle
• ~ 25% of world’s
undiscovered reserves
• no production to date
in ice congested waters
3
Limited Infrastructure
 emergency evacuation
 search & rescue
 firefighting
 towing
 salvage operations
 costly mobilization
Dangerous Working Conditions
 low temperatures
 icing on equipment
 darkness
 moving ice on ocean surface
the Arctic Challenge
4
iceberg
5
ice location,
speed,
geometry
Russia
United States
Canada
satellite-based Tracking
6
ice-hardened mobile drilling concepts
7
ice floe Tracking & Forecasting
move the rig
8
ice floe Tracking & Forecasting
stay put
9
Arctic Cost Drivers & Projected Savings
extended drilling season
 1 well
 ↕ $300 MM savings ↕
 2 wells
production platform construction
 mechanical design (max ice load)
 ↕ $1,000 MM savings ↕
 ice management operations
10
satellite
imagery
sonar
radar
video
currents
temps
wind
structural
load cell
data
Continuous Ingestion Continuous Analytics
Stream Computing for ice floe tracking
11
ice movie 1 – Tracking & Forecasting
km
12
Project Objective
 Prototype automatic & continual tracking/forecasting of all individual ice
floes
Real-Time Analysis & Modeling
 Ice detection / classification from SAR
 Ice floe tracking from SAR
 Ice floe trajectory forecasting
 Trajectory uncertainty quantification
Deliverable
 Real-time visualization of ice floe positions, tracks, & trajectory cone
forecasts
ice floe Tracking & Forecasting
14
ice floe Detection
km
15
ice floe Model
km
18
Forecasting Equations
 
 
2 2
2
conservation of linear momentum
( ) is velocity of the ice floe.
is m
ˆ+
wh
ass of the ice floe,
is area of the ice floe,
ere
is force o i
.
f ce
add i w w w a a a
w
i
w w
d
m m C A C
unkno
A mf
d
n
t
w
m
A
     
 
v
F V V k v
V v v v v
v
F pack acting on floe,
, are velocities of the water & air currents.w av v
19
metocean Data Stream
0900 09 March 2011
22
ice floe forecasting – Data Constraints
km
23
ice floe forecasting – Data Constraints & Solutions
km
24
Project Objective
 Prototype automatic & continual tracking/forecasting of all individual ice
floes
Real-Time Analysis & Modeling
 Ice detection / classification from SAR
 Ice floe tracking from SAR
 Ice floe trajectory forecasting
 Trajectory uncertainty quantification
Deliverable
 Real-time visualization of ice floe positions, tracks, & trajectory cone
forecasts
ice floe Tracking & Forecasting
25
ice movie 2 – Forecast Uncertainty Cones
km
26
a BiG Data problem
 volume, variety, velocity
favors the Stream Computing paradigm
 real-time decision support
 natural, continuous data integration
 effective high-end analytics
computationally feasible
 shifts burden to engineering of data acquisition systems
near-real-time ice floe Tracking & Forecasting
27
Real-Time Monitoring
and
Integrated Forecasting
of
Arctic Ice Floes
P. AnnoK. Soofi
C. Yetsko D. Glover
J. Santosuosso B. Cobb

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