SLIDE 1
Introduction
What is automation? Why bother? Implications for the NDR
community
How do we address them?
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CGG: Automating the NDR – Public
Automating the NDR Kerry Blinston: Global Commercial Director - - PowerPoint PPT Presentation
Automating the NDR Kerry Blinston: Global Commercial Director - - PowerPoint PPT Presentation
Automating the NDR Kerry Blinston: Global Commercial Director Introduction What is automation? Why bother? Implications for the NDR community How do we address them? 2 CGG: Automating the NDR Public What is automation?
SLIDE 2
SLIDE 3
What is automation?
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CGG: Automating the NDR – Public
Manual Automated
SLIDE 4
Progress?
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CGG: Automating the NDR – Public
SLIDE 5
Automation in the NDR context: Before
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CGG: Automating the NDR – Public
SLIDE 6
Automation in the NDR context: After
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CGG: Automating the NDR – Public
SLIDE 7
Why bother?
Time & Money
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CGG: Automating the NDR – Public
SLIDE 8
Why bother?
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CGG: Automating the NDR – Public
Time Quality Cost
Quick & Cheap
= Low Quality
Quick & Quality
= Expensive
High Quality & Low Cost
= Slow
SLIDE 9
Example: The problem of time, cost and quality
Each manuscript
Book of Hours is unique in one way or another
Although they are
high quality by many measures they are not consistent
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CGG: Automating the NDR – Public
SLIDE 10
Example: Caxton’s printing press
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CGG: Automating the NDR – Public
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How could this apply to an NDR
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CGG: Automating the NDR – Public
Company Systems Exchange Standard Validation / Security Data Repository
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Implications: What we are already doing
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CGG: Automating the NDR – Public
Automated Orders
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Implications: What we are already doing
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CGG: Automating the NDR – Public
Population of Well Headers
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Implications: What we are already doing
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CGG: Automating the NDR – Public
File Validation
SLIDE 15
Implications: What we are already doing
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CGG: Automating the NDR – Public
Automated population of SEGY trace headers with data from validated P190 nav
file.
SLIDE 16
Implications: What we need to do
Standards – Automation requires standardisation
– Naming conventions – Classification schema – Explicit, descriptive data types – Business and data rules – Tools that classify and validate
Is this is not a one time event
– Continually evolving, requires maintaining – Industry participation – Governance
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CGG: Automating the NDR – Public
SLIDE 17
Implications: What we need to do
Exchange Standards
– Aligned with submission standards – Covers all of the required data types – Accepted as an industry standard – Open, public and maintained
Technologies that use these exchange
standards
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CGG: Automating the NDR – Public
SLIDE 18
Can we achieve this?
Yes, we’ve proved it…
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CGG: Automating the NDR – Public
SLIDE 19
Summary & Conclusions
The case for automation is
compelling
CGG has already made
progress
To achieve more needs a
combined effort
In our approach to the
breakouts lets remember the success of MPRML
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CGG: Automating the NDR – Public