An Assessment of Risks in Oil and Gas Construction Projects in Pakistan: A Quantitative Approach Using Failure Modes and Effects Analysis

Journal Title: Journal of Engineering Management and Systems Engineering - Year 2023, Vol 2, Issue 3

Abstract

Effective risk management remains pivotal to the success of any project, especially in the oil and gas industry. This study seeks to identify and quantify the potential risks in Oil and Gas Construction Projects (OGCP) within Pakistan. An exhaustive literature review is undertaken to elucidate various risk classifications and factors. Nine risk classifications emerge from this scrutiny: Health, Safety and Environment (HSE), political, legal, regulatory and bureaucratic, labor and human resources, logistics, economic and financial, technological and technical, and security and management. The novelty of this research lies in the adoption of a quantitative approach, a questionnaire rooted in Failure Modes and Effects Analysis (FMEA), asking respondents to quantify risk factors based on severity, occurrence, and detection. The results obtained from the modified FMEA questionnaire indicate that the highest average risks are associated with logistics, health, environment and safety, and legal, regulatory and bureaucratic factors. Meanwhile, political, human resource, management, and technical and technological factors register as the second-highest risks. Security risk records the least average Risk Priority Number (RPN). The most significant risk factors identified include the lack of a disaster management system, depletion of hydrocarbon resources, corruption, contractual breaches, delays in customs clearance, logistic provider complications, design flaws, technical limitations, and contractor incompetence. This research endeavors to provide academia and industry with expansive knowledge related to the risks inherent in these complex projects.

Authors and Affiliations

Osama Durrani, Qasim Zeeshan

Keywords

Related Articles

Isogeometric Finite Element Analysis with Machine Learning Integration for Piezoelectric Laminated Shells

Innovative lightweight smart structures incorporating piezoelectric material-based active elements, both as sensors and actuators, have been identified to present manifold advantages over traditional passive systems. Suc...

Geometrical Precision and Surface Topography of mSLA-Produced Surgical Guides for the Knee Joint

In this study, the precision of anatomical models and surgical guides pertaining to the knee joint, fabricated using the mSLA technique, was critically examined. The ITK-SNAP program was employed for the segmentation and...

Applications of Machine Learning in Aircraft Maintenance

Aircraft maintenance is an expansive multidisciplinary field which entails robust design and optimization of extensive maintenance operations and procedures; encompassing the fault identification, detection and rectifica...

Risk Assessment in Construction Projects Using the Grey Theory

Construction projects are of a particular nature and are affected by many factors, which exposes them to risks due to the long implementation period and the multiplicity of phases from the project idea phase through the...

From “How to Model a Painting” to the Digital Twin Design of Canvas Paintings

Preventive conservation is conductive to the long-term preservation of works of art. In order to realize the avoidance of damages in advance, risk management as well as foresighted thinking is required. The application o...

Download PDF file
  • EP ID EP731802
  • DOI 10.56578/jemse020305
  • Views 91
  • Downloads 0

How To Cite

Osama Durrani, Qasim Zeeshan (2023). An Assessment of Risks in Oil and Gas Construction Projects in Pakistan: A Quantitative Approach Using Failure Modes and Effects Analysis. Journal of Engineering Management and Systems Engineering, 2(3), -. https://europub.co.uk/articles/-A-731802