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SpaceTech 2018

M A S T E R ‘ S P R O G R A M M E

SpaceTechGraz University of Technology

u SpaceTech.tugraz.at

SpaceTech 2018 – Program

ESTEC, June 2019

LeakSenseSpaceTech Alumni Symposium 2019 Presentation – Central Case Project

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Central Case Project (CCP)--Constraints

TU Graz ESA DLR

• Maximum spacecraft

weight 500 kg (dry

mass)

• Viable business case

• Include space

segment

• Small Satellite(s)

• Earth Observation

based solution

• Explore innovative

solutions to real

problems

• Small Satellite(s)

• Investigate modular

approaches (iBOSS

and other)

• Three organizations provided objectives and

constraints for the CCP effort—DLR, ESA and TU

Graz

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3 The team

Abakunda Joseph

RWANDA AIR

FORCE

Bouzekri Oilid

AIRBUSBurzykowska Anna

ESA

Morawitz Bastian

RHEA SYSTEM

Perczynski Piotr

LUX SPACE

Rubio-Blanes Alberto

ESA

Van der Laan Ludger

TNO

Varewijck George

ATG-EUROPE

Vogel Torsten

AIRBUS

Wolf Nadja

ARIANEGROUP

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February / March 2019SpaceTech 2018

Credit: Reuters

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SpaceTech 2018

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Credit: SmithsonianMag

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6 Current leak detection fails

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7 Solving real industry problems

Globally oil and gas industry spends 32 B€ a year monitoring millions of

kilometers of oil and gas pipelines

Source: Rigzone.com Source: Flowcontrolnetwork.comSource: perthdrone.co.auSource: Appalmad.org

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SpaceTech 2018

8 Oil market analysis

Source: PWC, HIS Economics The Economic Impact of Crude Oil Pipeline Construction and Operation

7% a year past 15 years

Can optimise O&M costs by as

much as 20%

Oil

Industry

Expanding

Infrastructure

Enhanced

Monitoring

Operations &

Maintenance

Stringent

Regulations

Greater

Efficiency

& Digitisation

Damage &

Liability

~3.5 B€ in 2015 in big data-

related projects

15% Growth

by 2020 !

Average O&M = ~150 k€ per annum per mile

Environmental and Safety

regulations

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“Detect, geo-locate and monitor oil leaks in distribution

networks globally”

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10 Technology gap

New dedicated fast revisit EO systems – such

as LeakSense - will be competitive with

current methods due to:

Payload customized to oil detection

Unconstrained global coverage

Unrivalled revisit time

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SpaceTech 2018

Customer needs and objectives

Reduce cost of leaks

• Key performance parameters for pipeline leak detection1:

• Minimize false positives

• Accurate localization

• Short time to detection

• Sensitive to small leak size

• Large coverage

1Pipeline leak detection handbook, M Henrie

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Sensing strategy

1720 nm 1730 nm 1740 nm

Band 4

Hyperspectral Analysis of Oil and Oil-Impacted Soils for Remote Sensing Purposes. G. Andreoli et al. European Commission, Joint

Research Centre

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SpaceTech 2018

Sensing strategy

Selected bands for LeakSense space segment payload

Band 1 Band 2 Band 3 Band 4 Band 5 Band 6

Near infrared Short wave and mid wave infrared

Spectral range

[nm]

850 - 880 945 -975 1635 –

1665

1715 -

1745

2335 -

2365

3395 -

3425

Spectral

resolution [nm]

10 10 10 10 10 10

Use Normalized vegetation

index (NDVI) and

vapour correction

Hydrocarbon (HC) detection

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Concept of operations

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15 Top level design features (orbit and ground stations)

Sun Synchronous Orbit

(SSO) 97.5°

Altitude 523 km

Local Time Ascending

Node (LTAN) 14:00

Period 95 min

2-week ground track

repeat time

KSAT stations at

Svalbard

Launcher availibility

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16 System performance

3.5 days

500 m

external data

8 years

6 liters/min

4 satellites Φ=90°

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17 Payload

• Key characteristics

Near Infrared, Short Wavelength Infrared and Mid Wavelength Infrared

Aperture: ~ 240 mm

Focal length: ~ 520 mm

Pixel resolution: 20 m for a

Ground Sample Distance of 40 m

Detector: Indium antimonide

photodiode (cryogenically cooled)

Compact design based on 3 mirrors

Mass: 105 kg

Power: 165 W

Volume: 260 liters

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Subsystem Mass [kg]

Payload 100

AOCS 44

Command and Data Handling 19

Power 111

Propulsion 34

Structure 69

Platform thermal heater 10

Communications 11

Preliminary mass 398

Subsystem maturity margin 5%

Design mass 418

System margin 30%

Dry Mass 543

Propellant 86

Wet mass 629

Mass budget

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19 Satellite validation plan

Qualification

Production

2021 2022 2023 2024 20252020

Launch

LeakSense

1

Launch

LeakSense

2

Launch

LeakSense

3 and 4

Phase 1

System

deployment

and validation

Phase 2

System deployment and

validation

Phase 3

Full operations and Expansion

First View Insight

Development

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20 Delivering the solution

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21 Business model

Source: www.flaticon.com

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22 Product offering

Coverage Predefined geographical

coverage Predefined geographical coverage

Entire network

Revisit period

single scan 2 – 4 weeks less than 3.5 days

Primary data source

Commercially available or LeakSense data

Commercially available data

LeakSense data

Price (oil) 500k€ single payment

(Freemium for first time users)

800k€ per month 800k€ to 1,600k€ per month, depending on revisit requested

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23 Revenues distribution

Oil Water

Revisit

time

Price per

customer

Customer

ShareRevenue

Price per

customer

Customer

ShareRevenue

[days] [€ p.a.] [%] [€ p.a.] [€ p.a.] [%] [€ p.a.]

0.5 M€ 2% 0.6 M€ 0.05 M€ 1% 0.83 M€

14.00 10.6 M€ 3% 18.4 M€ 0.05 M€ 2% 1.7 M€

7.00 12.7 M€ 5% 36.8 M€ 0.05 M€ 2% 1.7 M€

3.50 19.0 M€ 10% 105.5 M€ 0.05 M€ 5% 4.2 M€

1.75 25.3 M€ 15% 214.2 M€

1.17 29.0 M€ 25% 421.2 M€

0.88 31.7 M€ 40% 735.0 M€

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24 Investor value proposition

• Proposed Exit Strategy: Initial Public Offering in 2030

• Incremental funding based on delivery milestones

• Maturity gates for further investment

• Limited up-front commitment

• Sensitivity assessment for market growth performed

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Time-to-market and

first revenue

-50 M€

0 M€

50 M€

100 M€

150 M€

200 M€

250 M€

2020 2021 2022 2023 2024 2025 2026

Fast growth and

return

Growth and scaling

opportunities

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End-to-end solution

Unique global coverage for

complete pipeline networks

High revisit time

Cost effective

Continuous leak detection

Value Added Service for leak detection in oil pipelines

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LeakSense makes sense