Why Choose this Training Course

Many organizations are looking to re-task and up-skill their data management personnel to focus on important data types, fill roles in projects that are critical to success, and position staff for changes in the energy industry. In addition, the competitive pricing regime means that many assets will be examined internally for divestiture, joint venture, mergers, or acquisition and will require auditable, coherent and well curated data sets available for evaluation. This course teaches the processes that capture and transform raw data into actionable insight to improve asset value and reduce risk for the petroleum industry. One of the challenges the industry faces is making validated data available to decision-makers across several departments, functions or disciplines in a timeframe that supports critical business decisions. This course gives participants hands-on techniques for breaking down barriers and making data available to decision makers. The course draws on case studies and examples from upstream and subsurface technical data.

Recent work with petroleum data analysts has highlighted the areas of best practice from field validated data management methodologies that will be most important in the next 18 months of a rapidly changing energy and resource sector. This course has been customized based on those industry priorities and is a highly interactive and hands on practical course for technical workers who deal with oil and gas data in subsurface operations domains.

The procedures and high level enterprise processes can be applied to reduce risk and to develop lessons learned for critical legacy data. There is a continued push for programs and initiatives that will deliver efficiencies and benefits in a short time frame with demonstrable value and metrics.

This petroleum data analysis training will equip data managers and technicians with the competencies and skill sets needed to deliver value from all types of data, using industry best practices and proof points from an established data management body of knowledge. The petroleum data analysis training content is aligned with competency definitions, indicators and resources in the Professional Petroleum Data Management Association’s Certified Petroleum Data Analyst (CPDA) Exam.

Who Should Attend

This petroleum data analysis training works best with professionals whose role is linked to data management and could include:

• Data managers
• Data analysts
• Data technicians
• Document managers
• Facilities data managers and technicians
• Engineering records managers
• Data architects
• Technical librarians for asset teams
• Surface data content managers
• Operational information managers
• End users of operational, facilities and engineering data
• Asset team data managers
• Industry content provider
• Technical assistants working with operational data

Key Learning Objectives

• Manage data as an asset through exploration and production lifecycle processes
• Learn how an organization analyses and oversees maintenance of data and information stores
• Examine how organizations apply quality management methods to assess, improve and assure data fitness for business use
• Communicate value of data in a clear and timely manner to align with business strategy
• Apply policies, practices, and procedures to assure compliance with company and regulatory data governance business rules •
• Execute strategies for data security management
• Optimize the use of critical geospatial data for petroleum analysis
• Select and prioritize the scope of data types to be managed in master data stores

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