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Introduction Key Learning Outcomes Training Methodology Organisational Impact Outline

Introduction

The oil and gas industry generates vast amounts of technical, operational, geospatial, and well-related data that support exploration, production, asset management, regulatory reporting, and strategic decision-making. As organisations increasingly rely on data-driven insights, the ability to manage data effectively throughout its lifecycle has become critical for maintaining operational excellence, ensuring regulatory compliance, protecting valuable information assets, and supporting long-term business performance. Poor data quality, inadequate governance, and ineffective retention practices can expose organisations to significant operational, financial, and compliance risks.

This Advanced Data Management for Oil and Gas Professionals training course provides a comprehensive understanding of master data management principles, data governance frameworks, geospatial data management, well data standards, and information security practices within the oil and gas sector. It enables professionals to establish effective data management strategies, improve data quality, strengthen governance controls, and support more informed decision-making across Exploration and Production operations.

Key focus areas of this Advanced Data Management for Oil and Gas Professionals training course include:

Managing data throughout the complete data lifecycle
Implementing master data management and governance frameworks
Enhancing data quality, retention, and regulatory compliance
Managing geospatial, well, and exploration data effectively
Developing enterprise data architecture and repository strategies
Strengthening data security and risk management practices

Key Learning Outcomes

At the end of this Advanced Data Management for Oil and Gas Professionals training course, participants will be able to:

Apply data governance principles to support enterprise objectives
Evaluate data quality, retention, and lifecycle management requirements
Analyse geospatial and well data structures used in E&P operations
Implement master data management frameworks and industry standards
Assess data security risks and develop appropriate mitigation strategies
Design data architectures that improve accessibility, integrity, and business value

Training Methodology

This training course combines expert-led instruction, interactive learning, practical exercises, group discussions, and applied industry examples. Participants explore real-world data management challenges, evaluate governance frameworks, and apply best practices for managing, securing, and utilising petroleum data assets effectively.

Who should Attend?

This Advanced Data Management for Oil and Gas Professionals training course is designed for:

Petroleum data management professionals and analysts
Data governance and information management specialists
Database administrators and data architects
Geospatial and GIS professionals working in E&P environments
Systems analysts and business intelligence professionals
Project managers responsible for data-driven initiatives
Software engineers and technology professionals supporting data platforms
Managers and decision-makers involved in data strategy, compliance, and analytics

Course Outline

Day 1

Master Data Management

Data Lifecycle Management
The Data as Enterprise Asset
Metadata
Data Retention Requirements
Data Governance Frameworks
- DGI
- DAMA

Day 2

Data Gathering and Data Quality

Data Sources
Applicable Data Rules for Well Identification and Classification
Professional Petroleum Data Management (PPDM) Data Model
Data Management Functions

Day 3

Geospatial Data

Geospatial Data Architecture
Geospatial Data Repositories
Software for Geospatial Data Gathering and Analysis
Geographic Information Systems (GIS) Related Databases
Geomatics Data Quality
Geospatial Data Storage, Analysis and Retention

Day 4

Master Data Management and Referencing in Exploration & Production (E&P)

Exploration & Production (E&P) Terminology
Master Data
Reference Data
Data Warehouse Architecture and Business Intelligence
- Business Conceptual Model
- Logical Data Model
- Physical Data Model
Database Administration
Data Warehouse Administration

Day 5

Data Management, Risks and Security

The CIA Triad - Confidentiality, integrity and availability of the data
Data Security Policy
Data Security Standards and Procedures
Data Security Audit
Data Security on the Cloud
Interaction between the Stakeholders, Users, Clients and Government Agencies

International Standards & Professional Alignment

Our training courses are aligned with internationally recognised professional standards and frameworks across leadership, strategy, finance, governance, risk, compliance, and audit. By integrating globally trusted models, we ensure learners develop practical, relevant, and industry-recognised capabilities.

Our trainings draw on leading international standards and professional frameworks, including ISO, ISACA, COSO, OECD, IIA, FATF, Basel, IFRS/ISSB, GRI, NIST, CPD, ILM and the OECD AI Principles. This alignment ensures consistency with global best practices across financial management, risk oversight, digital governance, sustainability, and strategic decision-making..

Designed in alignment with globally recognised professional bodies, our courses support continuous professional development, strengthen organisational capability, and provide clear pathways toward professional certifications valued worldwide.