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Advanced Data Management for Oil and Gas Experts: Mastering Spatial and Well Data Management | 1st – 5th September 2025

This intensive 5-day course is designed for oil and gas professionals who are responsible for managing and analysing large volumes ... Show more
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Course Overview

This intensive 5-day course is designed for oil and gas professionals who are responsible for managing and analysing large volumes of spatial and well data in upstream operations. It provides an in-depth exploration of Master Data Management (MDM), focusing on spatial data and well data integration, governance, and quality management. Participants will learn best practices for managing data throughout its lifecycle, including metadata, geospatial data architecture, and the application of relevant data models. They will also understand how to implement data management frameworks, and explore tools and technologies for data storage, analysis, and security.

Course Objectives

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

 

  1. Understand the fundamentals of Master Data Management (MDM) and its role in oil and gas data management.

  2. Apply best practices in data lifecycle management, including data retention and governance frameworks.

  3. Manage the gathering and quality control of well and spatial data through professional data models and standards.

  4. Design and manage geospatial data architectures, repositories, and GIS-based systems.

  5. Integrate well data with geospatial data for enhanced exploration and production insights.

  6. Implement data security frameworks, policies, and risk management practices.

  7. Understand and apply data warehouse and Business Intelligence (BI) principles in the context of exploration and production (E&P).

Target Audience

 

  • Data managers and engineers working in oil and gas exploration and production.

  • IT professionals in the energy sector focused on spatial data, well data, and master data systems.

  • Geospatial data specialists, GIS experts, and professionals involved in data analytics.

  • Professionals responsible for implementing data governance, security, and compliance in oil and gas organizations.

  • Business analysts and decision-makers requiring advanced data management skills for operational and strategic decisions.

 

Daily Agenda

Day One: Master Data Management

  • Data Lifecycle Management: Key stages in the lifecycle of oil and gas data, from creation to archiving.

  • The Data as an Enterprise Asset: Treating data as a valuable resource within the organization.

  • Metadata: Understanding metadata, its importance, and how it is managed in the oil and gas industry.

  • Data Retention Requirements: Legal and operational guidelines for data retention in oil and gas.

  • Data Governance Frameworks: The importance of data governance and relevant frameworks (DGI, DAMA).

  • Data Governance Initiatives (DGI) and DAMA: Overview of industry best practices in data management and governance.

Day Two: Data Gathering and Data Quality

  • Data Sources: Identifying and managing the various sources of well and spatial data.

  • Applicable Data Rules for Well Identification and Classification: Key rules and best practices for the accurate classification of well data.

  • Professional Petroleum Data Management (PPDM) Data Model: Understanding the PPDM model and its role in managing well data.

  • Data Management Functions: Core functions involved in managing data, such as data capture, validation, and storage.

Day Three: Geospatial Data

  • Geospatial Data Architecture: Key principles in designing and managing geospatial data systems.

  • Geospatial Data Repositories: Structuring repositories for effective storage and retrieval of spatial data.

  • Software for Geospatial Data Gathering and Analysis: Tools and technologies used for collecting and processing geospatial data.

  • Geographic Information Systems (GIS) Related Databases: Integration of GIS databases into oil and gas data management systems.

  • Geomatics Data Quality: Principles and best practices for ensuring the quality and integrity of geomatics data.

  • Geospatial Data Storage, Analysis, and Retention: Best practices for storing, analysing, and retaining geospatial data in oil and gas operations.

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

  • Exploration & Production (E&P) Terminology: Understanding key E&P terminology related to master data.

  • Master Data: Key concepts of master data in the oil and gas industry and its importance in decision-making.

  • Reference Data: The role of reference data in data management and ensuring consistency across operations.

  • Data Warehouse Architecture and Business Intelligence: Integrating data warehouses and BI tools for better decision-making.

  • Business Conceptual Model, Logical Data Model, and Physical Data Model: Understanding the different types of data models used in MDM.

  • Database Administration: Key concepts in administering databases, ensuring high performance, and optimal data management.

  • Data Warehouse Administration: Management of data warehouses, ensuring effective integration of spatial and well data for analysis.

Day Five: Data Management, Risks, and Security

 

  • The CIA Triad – Confidentiality, Integrity, and Availability of the Data: Ensuring data security and integrity in oil and gas operations.

  • Data Security Policy: Developing and implementing a data security policy for well and spatial data.

  • Data Security Standards and Procedures: Industry standards for maintaining the security of critical data.

  • Data Security Audit: The process of auditing data security measures and ensuring compliance with regulations.

  • Data Security on the Cloud: Challenges and strategies for securing data in cloud environments.

  • Interaction Between Stakeholders, Users, Clients, and Government Agencies: Best practices for managing stakeholder communication and data sharing in compliance with legal and regulatory requirements.

Why Choose this Course?

This course is ideal for oil and gas professionals who want to gain advanced knowledge of managing and integrating well and geospatial data in their organizations. It covers a wide range of topics from data governance frameworks and data quality management to geospatial data storage and security protocols, enabling participants to make informed decisions that enhance operational efficiency. Participants will learn from industry-specific case studies and best practices, helping them manage complex datasets effectively and securely.

Learning Outcome

Upon successful completion of the course, participants will be able to:

 

  1. Apply best practices for managing the lifecycle and governance of spatial and well data.

  2. Use professional data models, including PPDM, for well identification and classification.

  3. Design and manage geospatial data architectures, repositories, and GIS-based systems.

  4. Understand and apply the principles of data security, ensuring data confidentiality, integrity, and availability.

  5. Leverage data warehouse and Business Intelligence (BI) tools to support decision-making in E&P operations.

  6. Integrate well and geospatial data into comprehensive datasets for better analysis and decision-making.

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