the iqc™ machine learning systems automates plexus™ · asset. • plexus™ is a ... •...
TRANSCRIPT
November 2016
The iQC™ Machine Learning
Systems automates Plexus™
metadata capture unlocking data
assets
2
•
PETEX – Nov 2016
•The Geoscience partner of choice
•Plexus™, a CGG Data Management Services Solution
•Dedicated to develop Machine Learning Services for Data Management
•A strategic alliance with CGG
• iQC™, first AgileDD product and service
4
•
PETEX – Nov 2016
• Physical and Numerical data are frequently managed independently however the reality is that they are the same subsurface asset.
• Plexus™ is a web application providing a cross the board solution for managing physical and digital data the same way.
• Unique cataloging procedures
• Unique storage
• Unique interface
• Plexus™ is a proven solutions used by IOCs, NOCs and Agencies for enhancing the utilization of what is considered as dormant data
• Plexus™ has a superior value for
•Collecting transactional information for each document ( ordering, transfer logistic, reception)
•Creating a relationship between corporate DBs and external cloud storage storage and/or external warehouses storage
• Plexus™ is flexible
•You don’t adapt your data and processes to Plexus™, Plexus™ adapt itself to your data and access needs
• Plexus™ PPDM data model
•Plexus™ default data model is complete and adaptable to your asset
• Transactional metadata
•Plexus™ collects continuously information about data usage and enrich your data asset
• Plexus™ quality monitoring
• Plexus™ benefits are accessible at the condition documents are indexed and catalogued
•This is true for any RDBMS systems
How to reduce the initial cataloging cost ? How to catalogue additional attributes
using the initial cataloging investment ?
How to extend the Plexus QC to test the coherence btw databases and documents ?
How to ensure all metadata relates back to the source documents?
9
•
PETEX – Nov 2016
80%
unstructured
structured
20%
• 2,500,000 well related documents
• 25,000 wells • 10,000 man days
SAVE
MONEY Avoiding populating
databases manually
GO
FASTER From data to decision
DE-
RISK Using more information
A Machine Learning Systems can help you to
15
•
PETEX – Nov 2016
iQC
iQC flowchart
•Any format, text searchable or not
•User defined taxonomy
•QC and train the machine using a rich interface
• Learning model updated on demand
•Machine Learning developed on Python
•A Map Reduce architecture to offer the scalability you need
•Native on Hadoop cloud environment such as Azure
•Allows a collaborative mode to improve the Machine Learning
•Also possible to install iQC on a private network
•Hybrid version under development
• iQC™ GUI based on Plexus™
iQC™ benefits for data owners •Automatical indexing of large amount of documents
•Automatical population of the Plexus™ metadata using ½ structured and unstructured documents at a fraction of the usual cost
•Existing Plexus™ metadata can be used as seeds to accelerate the iQC™ training
•Additional Plexus™ QC business rules based on documents
A rich and qualified data environment for extensive data analysis and modeling
22
•
PETEX – Nov 2016
iQC™ and Plexus™ together •An integrated solution to extract and store relevant
meta data using best of the class Machine Learning algorithms.
•An open solution adaptable onto your existing environment
•A world class provider to implement, train and support your team
The more advanced way to prepare complete data asset able to de-risk your business decisions
