Integrated Operational Systems

INTRODUCTION

An Integrated Operational System (IOS) is a critical component of modern oil and gas operations, designed to optimise efficiency, safety, and profitability. By integrating various data sources and processes, IOS enables real-time decision-making, enhances asset performance, and mitigates risks.

An Integrated Operational System is essential for oil and gas companies to thrive in today’s competitive and complex environment. By leveraging advanced technologies and data-driven insights, organisations can achieve significant operational improvements, reduce costs, and enhance overall performance.

OBJECTIVES

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

• Production optimisation: Real-time monitoring of well performance, production forecasting, and optimisation.
• Asset integrity management: Predictive maintenance, anomaly detection, and risk assessment.
• Supply chain management: Inventory optimisation, logistics planning, and supplier performance management.
• Health, safety, and environment (HSE): Incident management, compliance monitoring, and emergency response.
• Exploration and production (E&P): Data-driven exploration, reservoir management, and drilling optimisation.
• Digital twin technology for virtual representation of physical assets
• Internet of Things (IOT) for enhanced connectivity and data generation
• Augmented reality (AR) and virtual reality (VR) for improved visualisation and collaboration
• Blockchain for secure and transparent data management
• Edge computing for real-time data processing and analysis

COURSE OUTLINE

DAY 1

Data Acquisition and Management:

• Real-time data collection from diverse sources (sensors, SCADA systems, ERP, etc.)
• Data cleansing, validation, and normalisation
• Data storage and management (data lakes, data warehouses)
• Data security and privacy measures
• ICT and system topology
• Data – integrating heterogeneous data
• Functions – integrating heterogeneous operational control decisions
• Architecture – integrating heterogeneous systems

DAY 2

Advanced Analytics and Visualisation:

• Predictive analytics for asset health, production optimisation, and risk assessment
• Real-time data visualisation for operational monitoring and decision support
• Machine learning and artificial intelligence for pattern recognition and anomaly detection
• Business intelligence tools for performance analysis and reporting

An overview of integrated operations on the major oil operator

• Implementation architecture for Aramco
• Stacked model for Sta toil
• Value loop for Shell

DAY 3

A Method to Assess Value of Integrated Operations

• Preparation phase
• Analysis phase
• Value calculation phase
• Decision analysis

DAY 4

• Intelligent transport systems (ITS)
• Components and applications (ITS)
• Key benefits of (ITS)

DAY 5

• Building project team members
• Basic architectural concepts
• Architectural frameworks
• Dame’s framework for data management functions.