About the Course

Data Management is the development, execution, and supervision of plans, policies, programs, and practices that control, protect, deliver, and enhance the value of data and information assets. Within the Oil & Gas industry there is a new paradigm shift-data in the new oil; understanding the details of deriving value from data, as well as the required intention, planning, coordination, and commitment is vital throughout the full data lifecycle of an enterprise. It was created based on the industry’s demand to train the workforce with future skills in light of the emergence of digital field operations in the petroleum industry.

This 5-day interactive Certificate in Data Management in the Petroleum Industry training course is designed with the oil & gas industry in mind, with the focus on using the full potential of the data, with the goal of making business processes more efficient and innovative information technology implementation which allows oil and gas companies to efficiently collect and analyse the data needed to make informed decisions that maximise profits and operate ahead of the curve.

It focuses on tools, methods, and techniques that address how data management services are designed and provided and explore how the management of these valuable business assets is governed. New Interactive Digital Oilfield Technologies will be utilised as facilities for research and training in this programme.

Core Objectives

The delegates will achieve the following objectives:

• Identify sources and formats of data within the oil & gas industry
• Understand the DAMA standard
• Know how and where the data is collected
• Implement enterprise-wide data management system
• Apply evolving digital technology solutions for data management

Training Approach

Delegates will receive thorough training on the topics covered by the training course, utilising various proven adult learning teaching and facilitation techniques. The focus will be hands-on approaches and examples of Oilfield data management systems, methods, and software. The methodology includes theoretical and practical work, with video materials and presentations of systems in use and development, hands-on work on some of the software used, and lab exercises to master practical skills.

The Attendees

In the digital age, data is king. This training course is designed for professionals with increasing data volumes, including Data Management, Operational Technology, and Information Technology Teams in the oil and gas industry. It is also useful for those involved in digitisation, digitalisation, and digital transformation projects.

Likewise, it will be valuable to the disciplines but not limited to the following:

• Engineers in the Petroleum Industry
• Instrumentation Specialists and Operators
• Supply Chain Professionals
• Asset Integrity and Management Teams
• Maintenance and Planning Teams
• Geoscientists
• Anyone within the E&P Business Line who handles the Data Creation, Storage, and Use
• Anyone interested in Data Management

Daily Discussion

DAY ONE: DATA MANAGEMENT WITHIN OIL & GAS INDUSTRY 

• Introduction, Definitions, and Framework of Data Management in Oil & Gas Industry
• Data Sources
• The Business Value for Data Management
• The Data Management Lifecycle
• Data Domains
• Data Facets

DAY TWO: DATA GOVERNANCE, HANDLING, AND QUALITY

• Data Culture
• Business Drivers for Data Governance
• Data Projects and Data Project Management
• Data Governance Implementation Guidelines
• Implementing Data Rules, Data Translation, and Data Transformation

DAY THREE: INFORMATION MANAGEMENT FUNDAMENTALS

• Data Quality Assurance
• Data Sharing Principles
• Data Life Cycle and Data Quality
• Data Model and Reference Data
• Data-Information-Knowledge

DAY FOUR: DATA STORAGE AND SECURITY

• Data Security
• Data Access
• Data Visualisation
• Data Traceability
• Business Intelligence within Oil & Gas Companies

DAY FIVE: EXPLORATION & PRODUCTION DATA MANAGEMENT FOR BUSINESS PROCESS IMPROVEMENT

• E&P Business Process vs E&P Data Management
• E&P Data for Business Process Digital Twin Creation
• E&P Data Governance
• E&P Data for Disaster Recovery and Business Continuity
• Immersive & Interactive Data Environment