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  • OTM-037: Identification of road or track for logistics planning

 

 Identification of road or track for logistics planning

 

Challenge ID

OTM:037

1

Title

Identification of road or track for logistics planning

2

Theme ID

ON 5.1: Logistics planning and operations - Baseline mapping of terrain and infrastructure

3

Originator of Challenge

Onshore: OTM

4

Challenge Reviewer / initiator

PEMEX, Ramani, Shell, Eni, Exxon

 

General description

Overview of Challenge

5

What is the nature of the challenge? (What is not adequately addressed at present?)

Planning the logistics arrangement to get plant and equipment such as rigs, drill pipe, topside handling facilities to remote locations is challenging.  Identifying road networks suitable for HGVs and estimating travel time for operations is difficult and often inaccurate.

6

Thematic information requirements

4. Obtain detailed land-use information,  5. Identify location and condition of transport infrastructure,

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Nature of the challenge - What effect does this challenge have on operations?

Planning can be inefficient and overly time consuming.  Planning can be inefficient and overly tie-consuming.  Selected routes could be inappropriate for certain vehicle types.  Route choice may also affect convoy speed and thus have a knock on delay of s

8

What do you currently do to address this challenge?/ How is this challenge conventionally addressed?

Crude satellite imagery data and ground truthing

9

What kind of solution do you envisage could address this challenge?

Very high to high resolution EO data to derive land use information. 

Resolution depends on covered area and size of analysis objective.

10

What is your view on the capability of technology to meet this need? – are you currently using EO tech? If not, why not?

EO could be a useful complimentary technology

 

Challenge classification

 

11

Lifecycle stage

Pre license

Exp.

Dev.

Prod.

Decom.

Score from impact quantification [1]

1

2

4

1

2

12

Climate classification

NOT CLIMATE SPECIFIC

13

Geographic context/restrictions

Generic onshore (Unspecified)

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Topographic classification / Offshore classification

Generic onshore (Unspecified)

15

Seasonal variations

Any season

16

Impact Area

Reduced capital expenditure

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Technology Urgency

(How quickly does the user need the solution)

Immediately (0-2 years)

 

Information requirements

 

18

Update frequency

depending on sensor and application

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Data Currently used

 

20

Spatial resolution

 

21

Thematic accuracy

80-90%

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Example formats

Standardized geo-spatial formats (e.g. shapefile, geotiff or KML)

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Timeliness

Reference data - timeliness not important

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Geographic Extent

 

25

Existing standards

 


 


[1] Impact quantification scores: 4 – Critical/ enabling; 3 – Significant/ competitive advantage; 2 – Important but non-essential; 1 – Nice to have; 0 – No impact, need satisfied with existing technology