Pideya Learning Academy

Data Management Strategies in Oil and Gas Assets

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
24 Feb - 28 Feb 2025 Live Online 5 Day 2750
17 Mar - 21 Mar 2025 Live Online 5 Day 2750
07 Apr - 11 Apr 2025 Live Online 5 Day 2750
09 Jun - 13 Jun 2025 Live Online 5 Day 2750
07 Jul - 11 Jul 2025 Live Online 5 Day 2750
08 Sep - 12 Sep 2025 Live Online 5 Day 2750
20 Oct - 24 Oct 2025 Live Online 5 Day 2750
24 Nov - 28 Nov 2025 Live Online 5 Day 2750

Course Overview

Information is the backbone of effective asset management across all phases of an asset’s lifecycle—design, construction, maintenance, operation, life extension, and eventual disposal. Each stage generates, modifies, or removes critical asset data. A clear understanding of this process is pivotal for successful project realization, seamless transition to operational phases, and efficient execution of operations and maintenance.
Organizations often face challenges such as wasting time searching for accurate information, conducting maintenance without reliable as-built data, or making decisions based on incomplete or erroneous information. Additionally, changes to asset configurations are sometimes delayed or poorly documented, further compounding inefficiencies. These issues can lead to costly operational disruptions, regulatory non-compliance, and reduced asset lifespan.
To address these challenges, more organizations are embracing robust asset data management systems that ensure accurate, timely, and well-organized information throughout the asset lifecycle. The Paideia Learning Academy Data Management Strategies in Oil and Gas Assets empowers participants with the knowledge and tools to excel in collecting, capturing, sharing, managing, and analyzing asset data. This training demonstrates how effective asset data management maximizes performance, ensures regulatory compliance, and minimizes risk.
This comprehensive course will cover:
The critical role of asset data management across the asset lifecycle
Integration of asset data management within a broader asset management framework
The distinction between project-phase and operational-phase data management
Key components and functionalities of an Asset Management Information System (AMIS)
Building foundational asset data using Systems Engineering and RAMS (Reliability, Availability, Maintainability, and Safety)
Developing and applying a risk-based maintenance reference plan
Techniques for monitoring, analyzing, and learning from asset data
By attending this training, participants will acquire actionable insights and strategies to ensure their organizations maintain a competitive edge in today’s data-driven industrial landscape.

Course Objectives

After completing this Paideia Learning Academy training, participants will learn to:
Understand the role of asset data management during projects and operational phases.
Navigate the broader context of asset data management within an AMIS framework.
Develop a robust asset information strategy.
Utilize Systems Engineering and RAMS methodologies to build reliable asset data.
Implement a risk-based maintenance reference plan and understand its implications on asset data.
Apply industry best practices to optimize asset data management processes.
Create actionable improvement plans for asset information systems.

Personal Benefits

Participants attending this course will:
Gain a comprehensive understanding of asset data management concepts.
Acquire practical skills to design and implement asset information strategies.
Enhance their effectiveness by adopting risk-based approaches to asset data.
Improve their technical knowledge and confidence in handling complex asset data.
Build a competitive edge in their career through advanced expertise in asset management.
Contribute significantly to their organizations’ success and operational excellence.

Organisational Benefits

Organizations participating in this training will:
Gain a thorough understanding of asset data management principles.
Develop and implement a cohesive asset information strategy.
Learn to apply Systems Engineering and RAMS methodologies effectively.
Build and optimize an Asset Management Information System (AMIS).
Identify and mitigate common pitfalls in asset data management.
Enhance operational efficiency, safety, and regulatory compliance through better data management.
Position themselves as industry leaders by adopting best practices in asset management.

Who Should Attend

This course is ideal for professionals seeking a deeper understanding of asset data management. It is particularly beneficial for:
Asset managers
Maintenance and reliability engineers
Project engineers and managers
Maintenance managers
Asset and maintenance professionals
Whether you are new to asset data management or looking to refine your existing skills, this training will provide invaluable insights and tools to advance your expertise and career.

Course Outline

Module 1: Strategic Asset Management
Impact of Asset Management on Business Outcomes Asset Management Framework and Hierarchies Scope and Definitions in Asset Management Overview of ISO 55000 Series Standards Best Practices in Asset Management Reference Models Informed Decision-Making Using Asset Data Integration of Asset Data Management into Strategic Planning
Module 2: Asset Information Management Systems (AIMS)
Role of Information Management Across the Asset Life Cycle Comparing Asset Information in Project Phases vs Operations Enterprise Functional Requirements for Asset Management System Architecture, Dataflow, and Interface Management Overlay of IT Systems in Asset Management Developing an Asset Information Strategy Tools for Asset Data Collection and Management Overview of CMMS and EAMS
Module 3: Advanced Systems Engineering and Performance Optimization
Key Steps in Systems Engineering Process Applying the V-Model in Asset Management Defining Asset Information Requirements Across Phases RAMS (Reliability, Availability, Maintainability, Safety) Analysis Transfer of Asset Information from Design to Maintenance Incorporating Digital Twins and BIM in Asset Management Leveraging CMMS/EAMS for Performance Management
Module 4: Risk-Informed Maintenance Strategies
Fundamentals of Risk Management in Maintenance Creating and Using a Maintenance Reference Plan Steps to Develop a Risk-Informed Maintenance Strategy Selecting Optimal Maintenance Tasks for Asset Reliability Condition-Based Maintenance (CBM) and Predictive Techniques Optimizing Spare Parts Management Decision Support Tools for Maintenance Optimization Feeding Data to CMMS/EAMS for Risk Mitigation
Module 5: Monitoring, Analysis, and Continuous Improvement
Principles of Configuration Management Change Management and Control Processes Analyzing and Monitoring Asset Data for Insights Root Cause Analysis (RCA) Techniques Identifying and Using Asset Health Indicators Building Effective Dashboards for Decision Support Developing and Implementing Asset Improvement Plans
Module 6: Digital Transformation in Asset Management
Emerging Trends in Asset Management Technology Role of IoT in Asset Monitoring Big Data and Analytics for Asset Optimization Artificial Intelligence Applications in Asset Management Cybersecurity in Asset Information Systems
Module 7: Lifecycle Cost Management
Total Cost of Ownership (TCO) in Asset Planning Cost-Benefit Analysis for Maintenance Strategies Budgeting for Asset Lifecycle Phases Evaluating Financial Impacts of Maintenance Decisions
Module 8: Sustainable Asset Management
Environmental Considerations in Asset Management Sustainability Metrics for Assets Integration of Circular Economy Principles ESG (Environmental, Social, Governance) Compliance in Asset Planning
Module 9: Leadership and Governance in Asset Management
Defining Governance Structures for Asset Management Stakeholder Engagement Strategies Performance Measurement and Reporting Strategic Alignment of Asset Goals with Organizational Objectives
Module 10: Training and Competency Development
Skill Assessment for Asset Management Teams Building Competency Frameworks Training Programs for Asset Management Professionals Knowledge Transfer and Retention Strategies

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