APPLICATION OF FMEA, HHM, AND TREE-BASED ANALYTICAL APPROACHES FOR ENHANCING THE RELIABILITY AND SECURITY OF OFFSHORE OIL AND GAS SCADA SYSTEMS
Abstract
SCADA (Supervisory Control and Data Acquisition) systems play a crucial role in overseeing and managing essential offshore oil and gas operations.However, as these systems become more intricate and interconnected, they face increased vulnerability to malfunctions and cyber threats, potentially leading to substantial safety, economic, and environmental consequences.This study aims to assess and improve the dependability and protection of SCADA systems in offshore oil and gas facilities through a multifaceted analytical strategy.The research begins by conducting a thorough Failure Mode and Effect Analysis (FMEA) to pinpoint possible failure modes, their origins, and their impact on SCADA functionality.This evaluation serves as a basis for identifying high-risk components and developing targeted risk mitigation approaches.To address the complex interdependencies and system-wide vulnerabilities, a Hierarchical Holographic Model (HHM) is created, encompassing the intricate operational and cyber-physical interactions within the SCADA system.Building on these models, the study employs Fault Tree Analysis (FTA) and Attack Tree Analysis (ATA) to methodically evaluate potential fault scenarios and cyberattack pathways.The FTA concentrates on identifying the root causes of system failures, while the ATA offers a structured method for assessing and mitigating cyber threats.Collectively, these proposed methodologies establish a robust framework for enhancing the resilience and security of SCADA systems in offshore environments.The study's findings not only underscore critical vulnerabilities and risk factors but also provide actionable insights for system design, monitoring, and incident response.This research seeks to make a significant contribution to the safe and secure operation of offshore oil and gas facilities, setting a standard for future investigations in the field.
Fields of Study & Subjects
Risk and Safety Analysis
Smart Grid Security and Resilience
Information and Cyber Security
Publication details
- Journal / source
- International journal of engineering science and advanced technology.
- Volume
- 26
- Issue
- 2
- Pages
- 22–32
- Publication date
- 1 February 2026
- Language
- EN