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Advanced Petroleum Data Management – Geophysical & Wells
24th November 2014
This is a highly interactive course with multiple workshops where participants will create deliverables focused on their own company’s data management challenges and priorities. The focus is on subsurface digital data in the geophysical and well domains. It will be aligned with the unique challenges of operating in the Asia Pacific region such as having to liaise with external data stakeholders such as regulators, National Oil Companies, and joint venture partners.
The proof points in this course have been mapped from the Advanced Level of the public domain U.K. Oil and Gas Common Data Access (CDA) Competency Management System at https://www.cdacompetency.com/. The content will also be aligned with the Data Analyst Competency Profile and blueprint in the candidate handbook for the Professional Petroleum Data Management (PPDM) Certified Petroleum Data Analyst (CPDA) Examination. See: http://ppdm.org/certification.
Who Should Attend:
This course is designed for professionals whose role is linked to data management and include job titles such as:
- E&P Data Managers
- Data Executives/Engineers
- Data Management Team Lead
- Heads of Data Management
- Seismic Data Engineers
- Subsurface Data Managers
- Well Data Managers
- Petroleum Data Managers
- Data Application Specialists
- Head of Information Management
- Head of Knowledge Management
- Head of Upstream Systems
- Head of Information Strategy
- Records Manager
- Data/Information/Business/Technical Architect
Key Learning Objectives:
- Put in place systems and procedures for identifying, describing and classifying internal and external digital data according to agreed standards.
- Monitor your organisation’s performance with respect to compliance internally and externally.
- Set-up and configure systems to archive data and ensure adequate metadata is captured for later retrieval.
- Selectively support, monitor and report project activities by identifying the data management activities required.
- Ability to review a backup disaster recovery plan and determine its robustness.
- Identify areas of stress/weakness and allocate resources, implement processes and strategies to manage data asset through the exploit/use phase of the lifecycle.
- Troubleshoot data quality problems related to missing or insufficient standards.