Browsing by Author "Samir Dawood Dawood, Muhanned"
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Item RISK ASSESSMENT OF CONSTRUCTION PROJECTS FOR OIL AND GAS PROCESSING FACILITIES IN IRAQ(2022-01-17) Samir Dawood Dawood, Muhanned; Aminbakhsh, Saman; Alfatlawi, Thair Jabbar MizhirOil and gas are among of the most important economic resources and are considered the main artery of natural reserves in Iraq. Companies and institutions involved in construction of processing facilities associated with such reserves have a pivotal role in the global economy. On the other hand, Iraq’s capital budget highly depends on the proportion of oil revenues. In this vein, many researchers have attempted to identify and analyze the risks pertinent to construction projects related to oil and gas processing facilities and have proposed various methods and practical plans for eliminating or reducing their effects on the critical success factors of time, cost, and quality. The aim of this study, analogously, is to determine the risks threatening the desired balance between the main objectives of construction projects in oil and gas sector of Iraq. For this purpose, findings of the literature review are used to develop an online questionnaire including 70 risk items widely referred to in the scientific arena in order to collect empirical data from academia, professionals, and decision-making authorities. Participants are chosen from different governmental and non governmental institutions and/or companies, namely, Iraq’s Ministry of Oil, Kuwait Energy, University of Baghdad, Kerbala and Al-Dorra refineries. General information related to 143 experts and their risk ratings are compiled using a five-point Likert scale. Grouped under eight risk categories, the level of likelihood and impact for each of the risk factors are determined. Based on the data collected from the respondents, risk matrices are developed to assess and rank the identified risks, whereof, the associated risk responses are proposed herein for the ten highest-ranked factors. SPSS and Microsoft Excel programs are used for statistical analysis of the collected responses and the consistency of the data is validated by using Cronbach’s Alpha reliability coefficient. Results points out ‘Instability in global oil and gas prices’ and ‘Delay in payments to the workforce’ to be the most significant risk items than can indirectly affect the success of the projects.