CodeDateVenueEarly Bird FeeFee
PE132205 - 08 Oct 2020Kuala Lumpur, Malaysia or Virtual Instructor Led Training (VILT) SGD 5495 SGD 5695 Remind me of Course Dates
PE132205 - 08 Oct 2020Kuala Lumpur, Malaysia or Virtual Instructor Led Training (VILT) RM 16485 RM 17085 Remind me of Course Dates

Code

PE1322

Date

05 - 08 Oct 2020

Venue

Kuala Lumpur, Malaysia or Virtual Instructor Led Training (VILT)

Early Bird Fee

SGD 5,495

Fee

SGD 5,695

Code

PE1322

Date

05 - 08 Oct 2020

Venue

Kuala Lumpur, Malaysia or Virtual Instructor Led Training (VILT)

Early Bird Fee

RM 16,485

Fee

RM 17,085

About this Training Course 

Exploration & Production Data Management is a 4-day course under the umbrella course, Exploration & Production Data Management and Physical Asset Management.

Each module in this 4-day course will address separate topics within E & P Data including Value of Effective E & P Data Management, Data Lifecycle, Quality Assurance and Control and Data Governance.

The course is led by a data management specialist who is also a qualified trainer and taught by modern training techniques, combining informative discussions and practical exercises.

By the end of this course, participants will be able to:

  • Understand the value of effective E & P Data Management and the sources and formats of E & P data
  • Recognise the Lifecycle Stages of E & P Data starting with Data receipt
  • Explore accurate cataloguing, recognise significant metadata and learn about compliance to standards
  • Learn about best practices for physical data handling and digital Data Management
  • Appreciate key technology solutions for E & P Data Management
  • Understand the importance of Data Security and Data Quality
  • Learn how to create operational workflows and procedures, and business continuity
  • Learn how to manage data archives effectively, and develop retention and destruction strategies
  • Get equipped on legislative data retention requirements

The course is essential for those with a role, responsibility or interest in E & P data management, including technical managers and administrators as well as geoscientists.