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More than 80% of oil and gas projects around the world experience delays, which may result in huge financial implications to the contractors and the owners. Therefore, it is important to manage delay risks factors to meet the target of project completion dates. The purpose of this study was to map delay risk factors of Engineering, Procurement, Construction (EPC) projects using a case study of a platform and subsea pipeline of an oil and gas project. Data was collected through observations and analysis of project documents, and interviews with respondents in managerial and engineer levels. A total of 28 delay risk factors was identified and quantified in terms of their probabilities and impacts. This research found 1 extreme risk (4%), 15 high risks (54%), 11 medium risks (39%) and 1 low risk (4%). The top five risk factors include, i.e. contractor’s financial capability, delay in delivery of long-lead items, changes in the project scopes, delay of detailed engineering design (DED), lack of experience of contractors. These findings are beneficial for contractors and owners of oil and gas projects to understand delay risks better and to formulate risk mitigation strategies properly.

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Building Information Modeling (BIM) is an interesting study to be explored by technological developments. Especially with the Covid-19 pandemic, construction actors are encouraged to work according to the applicable protocol. BIM as integrated tool for managing projects from the beginning to the end of the work. On one side the classic problems of construction projects are high costs, late time, and quality that is not according to specifications. The purpose of this study is to analyze the effect of the use of BIM in construction projects on time and cost. A case study was carried out on a construction project that had implemented BIM. The results showed the use of BIM could cut time by 50% faster and reduce costs by 52.36%. This time and cost-effectiveness are caused by the number of workers needed and the reduced duration so that it has an impact on fundin.

While most research looks at the client satisfaction in the construction industry, contractor satisfaction towards client performance is also an important issue. The performance of contractors and clients are inter-reliant, and their interactions fundamentally determine the overall project performance. This research aims to analyze the level of contractor satisfaction towards client performance. The objectives are to determine the contractor satisfaction index (CoSI) towards client performance, and to evaluate performance indicators to improve. Data was collected through questionnaire surveys filled out by 163 respondents. Indicators of client performance include client’s understanding of project requirements, financial, decision making, management skills, supports for contractor and client’s attitude. This research found that the CoSI equals to 69.65%, indicating that in general the contractors are satisfied with the clients’ performance. Further, an importance-performance analysis of client performance (IPACP) classifies the client performance based on the importance and performance, resulting in four categories, i.e. excellent work, areas of improvement, low priority, and disproportionate. Excellent work of clients are mainly related to financial and attitude, while areas of improvement include the understanding of project scope and spesification, ease of payment approval on projects, unity of opinion from client’s team, and administration system. These findings are beneficial for clients for self-evaluation on their performance, particularly on attributes they underperform. Policy makers in the construction industry can also learn from these findings to initiate a strategic program to strengthen client performance. As the performance of clients and contractors are inter-reliant, improving client performance also means enhancing contractor performance for a successful project.

Delays have been identified as one of the significant risks in oil and gas projects. A sound risk analysis is, therefore, one of the critical factors for the success of the projects. The aim of this research was to measure the impact of delay risks on the completion time of an oil and gas project in Indonesia as a case study. Data of relevant delay risks were initially collected from literature reviews and observations on project documents and finalized through interviews with key respondents of the project. A monte-carlo based simulation software was used to simulate 28 delay risks identified and applied to the 34 project activities. This research found a probability of less than 1% for on-time project completion according to the baseline schedule (366 days). It was also projected that the project duration could be extended by 10.6% (405 days) and 14.2% (418 days) with 50% and 80% probabilities, respectively. The sensitivity analysis indicated that the most influential activity on project delays was the tubular delivery, and the risk delay with the most significant impact to project delays was the delay of long-lead item delivery. This research showed the mechanism of incorporating delay risks into relevant project activities, and the findings allow a better understanding of stakeholders to develop appropriate risk mitigation strategies.

Delays may occur during pre-construction or construction phases, or both. The aim of this research is to develop a prototype of an early warning system of delay risks for public projects in pre-construction phase (EWaSDRiP). These delays are attributed to owner, consultant, project characteristics, and external factors. Data was collected through literature review, observations on project reports, interview, and questionnaire surveys with 30 respondents from government client teams, contractors and consultants. The respondents were asked to validate the indicators, and estimate their weight and the degree of accuracy. A 1 to 10 Likert scale reflecting worst to excellent is used to score the state of each of the delay indicators within three zones, i.e. red (scale 1-3), yellow (4-6), green (7-10). The delays in red zone indicates that they pose dangerous threats to the project and must be monitored closely, delays within yellow zone indicate moderate threats to the project, while delays in green zone means that they are unlikely to delay the project. EWaSDRiP gives a visual indication of which zone most delays are distributed. This prototype is potentially beneficial for the owner or government client team to prepare strategic actions for the relevant pre-construction delays accordingly.