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? Automated Manual 3 CGG: Automating the NDR – Public

Progress? 4 CGG: Automating the NDR – Public

Automation in the NDR context: Before 5 CGG: Automating the NDR – Public

Automation in the NDR context: After 6 CGG: Automating the NDR – Public

Why bother? � Time & Money 7 CGG: Automating the NDR – Public

Why bother? � Quick & Cheap = Low Quality Quality � Quick & Quality = Expensive � High Quality & Low Cost = Slow Time Cost 8 CGG: Automating the NDR – Public

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 9 CGG: Automating the NDR – Public

Example: Caxton’s printing press 10 CGG: Automating the NDR – Public

How could this apply to an NDR Company Exchange Validation / Data Systems Standard Security Repository 11 CGG: Automating the NDR – Public

Implications: What we are already doing � Automated Orders 12 CGG: Automating the NDR – Public

Implications: What we are already doing � Population of Well Headers 13 CGG: Automating the NDR – Public

Implications: What we are already doing � File Validation 14 CGG: Automating the NDR – Public

Implications: What we are already doing � Automated population of SEGY trace headers with data from validated P190 nav file. 15 CGG: Automating the NDR – Public

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 16 CGG: Automating the NDR – Public

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 17 CGG: Automating the NDR – Public

Can we achieve this? � Yes, we’ve proved it… 18 CGG: Automating the NDR – Public

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 19 CGG: Automating the NDR – Public