Introduction to Information Management and Data Governance in E&P Industry (RILS)

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Managing data effectively is crucial for success in the Exploration & Production (E&P) industry. With vast amounts of information generated daily from seismic surveys to production reports, having a structured approach to data governance ensures efficiency, compliance, and better decision-making.

This course provides a clear and practical understanding of how to manage, secure, and utilize E&P data. Participants will learn industry best practices, regulatory requirements, and emerging technologies to enhance data governance and drive digital transformation
Objectives

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

• Understand the role of data in E&P operations and its impact on decision-making.
• Apply industry standards such as PPDM, OSDU, and ISO 15926.
• Develop a data governance framework to enhance efficiency and compliance.
• Implement best practices for data lifecycle management, from acquisition to archiving.
• Ensure regulatory compliance and protect sensitive information.
• Leverage emerging technologies such as AI, cloud computing, and big data analytics.

Who Should Attend?

This course is designed for professionals involved in data management within the E&P industry, including:

• Data managers and IT specialists.
• Geoscientists and reservoir engineers.
• Petroleum and production engineers.
• Compliance officers and risk managers.
• Project managers and business analysts.
• Regulators and government officials.
• Professionals engaged in digital transformation and data-driven decision-making in the oil & gas sector.

Course Outline

Day 1: Understanding E&P Data – The Foundation

• Types of data in the industry: Geophysical, well logs, production, and operational data.
• Importance of data quality and its impact on efficiency and decision-making.
• Overview of industry standards and frameworks (PPDM, OSDU, ISO 15926).
• Common data challenges and solutions in the oil & gas industry.

Day 2: Data Governance & Compliance – Staying in Control

• Definition and key components of data governance.
• Best practices for structuring and governing E&P data.
• Understanding global and industry-specific compliance regulations (GDPR, NIST, ISO).
• Ensuring data security, minimizing risks, and implementing access controls.

Day 3: Managing Data Effectively – From Collection to Archiving

• Data lifecycle management: Acquisition, processing, storage, retrieval, and disposal.
• Strategies for maintaining data integrity and consistency.
• Best practices for structuring and organizing large datasets.
• Data retention policies and determining when to archive or delete data.

Day 4: Digital Transformation & AI in Data Management

• Role of artificial intelligence in data classification, analysis, and automation.
• Machine learning applications for seismic data interpretation and reservoir modeling.
• Impact of cloud computing and blockchain on data security and accessibility.
• Big data analytics and predictive insights in oil & gas operations.

Day 5: Building a Future-Ready Data Strategy

• Designing and implementing a comprehensive data governance plan.
• Improving collaboration between IT, engineering, and business teams.
• Overcoming challenges in digital transformation and data adoption.
• Case study: Developing an information management strategy for an E&P company.