Analyzing the critical risk factors associated with oil and gas pipeline projects in Iraq

Abstract Although Oil and Gas Pipelines (OGPs) are a safe and economical mode of transportation of petroleum products around the world, they face challenges caused by risk factors. These include safety, security, design, construction and operational risks due to Third Party Disruption (TPD) and acts of terrorism, particularly in developing and unstable countries like Iraq. A lack of knowledge about managing such risks and the scarcity of past data about pipeline failures are hindering OGP risk management systems. This paper, therefore, focuses on identifying and analyzing the risks caused by TDP in order to develop a holistic Risk Management Model (RMM). A semi-structured questionnaire was designed, using 30 risk factors identified through a comprehensive literature review, distributed to OGP stakeholders in Iraq, via an online survey tool, to collect the research data. SPSS was used to analyze the data and evaluate risk factors which were ranked in order of likelihood and severity level using a risk index method. A conceptual framework for the RMM is presented, based on the literature review and survey findings. The results reveal that terrorism, sabotage, oleum product transportation, however and theft are the most critical safety risks, official corruption and lawlessness the most influential factors for regulatory risks. Pipeline location “Hot-Zones” also have a serious impact on the failure of pipelines. A computer-based risk management model will be developed at the next stage of the study using the RMM and the results of the numerical risk analysis.

[1]  Fereshteh Jaderi,et al.  Fuzzy risk modeling of process operations in the oil and gas refineries , 2014 .

[2]  Abdolreza Yazdani-Chamzini,et al.  Proposing a new methodology based on fuzzy logic for tunnelling risk assessment , 2014 .

[3]  Rehan Sadiq,et al.  A fuzzy Bayesian belief network for safety assessment of oil and gas pipelines , 2016 .

[4]  Hui Li,et al.  Assessing Risk in Chinese Shale Gas Investments Abroad: Modelling and Policy Recommendations , 2016 .

[5]  John Carlo Bertot Web‐Based Surveys: Not Your Basic Survey Anymore , 2009, The Library Quarterly.

[6]  L. Labaka,et al.  A holistic framework for building critical infrastructure resilience , 2016 .

[7]  Julie F Pallant,et al.  SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS , 2020 .

[8]  Adewumi Rowland,et al.  GIS-based prediction of pipeline third-party interference using hybrid multivariate statistical analysis , 2011 .

[9]  S. Mubin,et al.  Risk Analysis for Construction and Operation of Gas Pipeline Projects in Pakistan , 2016 .

[10]  Xianbo Zhao,et al.  Effects of Firm Characteristics on Enterprise Risk Management: Case Study of Chinese Construction Firms Operating in Singapore , 2016 .

[11]  Nora Balfe,et al.  Safety Risk Registers: Challenges and Guidance , 2014 .

[12]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[13]  Chao Fang,et al.  A simulation-based risk network model for decision support in project risk management , 2012, Decis. Support Syst..

[14]  K. A. Macdonald,et al.  Best practice for the assessment of defects in pipelines ¿ gouges and dents , 2005 .

[15]  Freedom C. Onuoha,et al.  Oil pipeline sabotage in Nigeria: Dimensions, actors and implications for national security , 2008 .

[16]  Wei Liang,et al.  A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model , 2015 .

[17]  Tarek Zayed,et al.  A condition assessment model for oil and gas pipelines using integrated simulation and analytic network process , 2015 .

[18]  Katherine Filippin,et al.  Major hazard risk assessment for existing and new facilities , 2004 .

[19]  Edward H. Haertel,et al.  4 Reliability Coefficients and Generalizability Theory , 2006 .

[20]  Nima Khakzad,et al.  Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches , 2011, Reliab. Eng. Syst. Saf..

[21]  Robin Pitblado,et al.  Applied risk‐based process safety: A consolidated risk register and focus on risk communication , 2009 .

[22]  Nurul Sa’aadah Sulaiman,et al.  Third Party Damages of Offshore Pipeline , 2014 .

[23]  Shuhai Liu,et al.  Comprehensive risk evaluation of long-distance oil and gas transportation pipelines using a fuzzy Petri net model , 2016 .

[24]  Sara Dolnicar,et al.  Online Versus Paper , 2009 .

[25]  W. Kent Muhlbauer Pipeline risk management manual : ideas, techniques, and resources , 2004 .

[26]  Pierre-Alexandre Château,et al.  Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project , 2015, Reliab. Eng. Syst. Saf..

[27]  Ashwani Srivastava,et al.  New methodologies for security risk assessment of oil and gas industry , 2010 .

[28]  D. Horst,et al.  Attacks on oil transport pipelines in Nigeria: A quantitative exploration and possible explanation of observed patterns , 2012 .

[29]  M. Mourshed,et al.  Environmental, social and economic challenges for urban development: stakeholder’s perception in a developing economy , 2016 .

[30]  A. Isaic-Maniu,et al.  Snowball Sampling Completion , 2013 .

[31]  Yanhua Yang,et al.  Reliability analysis of complex dynamic fault trees based on an adapted K.D. Heidtmann algorithm , 2015 .

[32]  He Sha,et al.  Overall reliability analysis on oil/gas pipeline under typical third-party actions based on fragility theory , 2016 .