From the top floor to the drill floor it is frequently said that “data is an asset”. The purpose of this 3 days course is to illustrate:
why data is an asset,
what are the main data types used in the E&P industry,
the data life circle,
various data storing strategies and implementations,
the data quality insurance and governance.
Public :
This training has been designed for all technicians and decision makers of the drilling, construction, production and maintenance domain but out of the data-management discipline.
Level :Awareness
Prerequisite :
Degree holder in a technical field with basic E&P knowledge or experience.
Course Content
INTRODUCTION
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Duration : 0.25 Day
The value of a data asset.
The main data categories for the drilling (FP), construction, reservoir, production, maintenance and HAS discipline.
The data management function as seen by DAMA.
DATA GOVERNANCE
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Duration : 0.25 Day
What is data governance, why it matters.
The asset life cycle/the data life cycle.
The data shareholder, role and responsibility (RACI).
The role of the data stewards, data manager, data scientist…
DATA ARCHITECTURE MANAGEMENT USING THE DATA RELATED TO THE WELL DESCRIPTION
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Duration : 0.25 Day
What is a well (using the PPDM guideline), the importance of using a common vocabulary/semantic.
The CFIHOS IOGP data standard.
The energistic standards (PRODML, WITSML, RESQML).
The OSDU initiative.
DATA DEVELOPMENT
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Duration : 0.25 Day
Develop and maintain logical and physical data models for the production data.
DATA OPERATION MANAGEMENT
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Duration : 0.25 Day
The notion of SLA.
Cloud storage.
The notion of big data and data lake backups and archives.
REFERENCE & MASTER DATA MANAGEMENT
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Duration : 0.25 Day
Definition of both terms:
Reference data: used taxonomy, semantic definition of the drilling data (e.g.: API).
Master data: drilling data values.
Well data integration: the well UWI.
DATA WAREHOUSING
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Duration : 0.25 Day
Descriptive (content description) and transactional data.
Use case based on the management of spare part using SAP-PM and SAP-MM
DOCUMENT & CONTENT MANAGEMENT
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Duration : 0.25 Day
Unstructured data: e.g. the installation PIDs.
Implementing a Document Management Systems (EDMS).
Retention and disposition of document.
DATA QUALITY MANAGEMENT
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Duration : 0.25 Day
The different aspects of “Data Quality”.
Make the data “trustable”.
Lean and 6-sigma methodologies.
Define data quality metrics, measure and control the data quality.
Data audit.
PROFESSIONAL DEVELOPMENT OF DATA MANAGERS
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Duration : 0.25 Day
Data management as a recognized discipline.
How the oil companies digitalization journey impacts the data manager role.
Data managers in others industries.
TAKEAWAYS
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Duration : 0.25 Day
10 key points about data management to remember.
Learning Objectives
Attendees will be able to implement the following skills:
Understand the data architecture of their organization,
Evaluate the quality of the data they consume,
Participate to the data quality improvement.
Ways & Means
Daily lecture and exercises and filed case studies.
More
Coordinator :IFP Training trainers (permanent or contracted) having a good expertise and/or experience of the related topics, trained to adult teaching methods, and whose competencies are kept up-to-date.
To French entities : IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding.
Please contact our disabled persons referent to check the accessibility of this training program : referent.handicap@ifptraining.com
IFPT Account
