IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1613-d214672.html
   My bibliography  Save this article

Onshore Oil and Gas Design Schedule Management Process Through Time-Impact Simulations Analyses

Author

Listed:
  • Daekyoung Yi

    (Dae-Woo Engineering and Construction Co., Project Management Team, 75 Saemunan-Ro, Jongro-Ku, Seoul 03182, Korea)

  • Eul-Bum Lee

    (Graduate Institute of Ferrous Technology (GIFT), Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea
    Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea)

  • Junyong Ahn

    (Florida Institute of Technology, 150 West University Blvd., Melbourne, FL 32901, USA)

Abstract

Korean oil and gas contractors have recently incurred significant losses due to improper engineering performance on EPC (engineering procurement and construction) projects in overseas markets. Several previous studies have verified the significant impact engineering has on EPC construction cost and project lifecycle. However, no literature has studied the time impact engineering has on EPC projects, representing a gap in the existing body of knowledge. To fill this gap, a Monte Carlo simulation was performed with the Pertmaster, Primavera risk analysis software for three sample onshore oil and gas projects. From said simulation of all major EPC critical activities, the authors found that the engineering phase is up to 10 times as impactful as the procurement and construction phases on the overall schedule duration. In assessing the engineering activities, the authors found the piping design activities to have the greatest impact on the overall schedule performance. Using these findings, the authors present a design schedule management process which minimizes the delays of project completion in EPC projects. Said process includes the following six steps: (1) Milestone management, (2) drawing status management, (3) productivity management of engineering, (4) interface management, (5) management of major vendor documents, and (6) work front management. The findings of this paper add to the body of knowledge by confirming the design phase to be the most impactful on the overall project schedule success. Furthermore, the presented design schedule management will aid industry with successfully executing the design phase in a timely manner, including examples from case study projects for a greater understanding.

Suggested Citation

  • Daekyoung Yi & Eul-Bum Lee & Junyong Ahn, 2019. "Onshore Oil and Gas Design Schedule Management Process Through Time-Impact Simulations Analyses," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1613-:d:214672
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1613/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/6/1613/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Myung-Hun Kim & Eul-Bum Lee & Han-Suk Choi, 2018. "Detail Engineering Completion Rating Index System (DECRIS) for Optimal Initiation of Construction Works to Improve Contractors’ Schedule-Cost Performance for Offshore Oil and Gas EPC Projects," Sustainability, MDPI, vol. 10(7), pages 1-31, July.
    2. Hyun-Chul Lee & Eul-Bum Lee & Douglas Alleman, 2018. "Schedule Modeling to Estimate Typical Construction Durations and Areas of Risk for 1000 MW Ultra-Critical Coal-Fired Power Plants," Energies, MDPI, vol. 11(10), pages 1-15, October.
    3. Konstantinos A. Kirytopoulos & Vrassidas N. Leopoulos & Viktor K. Diamantas, 2008. "PERT vs. Monte Carlo Simulation along with the suitable distribution effect," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 24-46.
    4. P E D Love & C-P Sing & X Wang & D J Edwards & H Odeyinka, 2013. "Probability distribution fitting of schedule overruns in construction projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(8), pages 1231-1247, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Georgios K. Koulinas & Alexandros S. Xanthopoulos & Konstantinos A. Sidas & Dimitrios E. Koulouriotis, 2021. "Risks Ranking in a Desalination Plant Construction Project with a Hybrid AHP, Risk Matrix, and Simulation-Based Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3221-3233, August.
    2. Min-Ji Park & Eul-Bum Lee & Seung-Yeab Lee & Jong-Hyun Kim, 2021. "A Digitalized Design Risk Analysis Tool with Machine-Learning Algorithm for EPC Contractor’s Technical Specifications Assessment on Bidding," Energies, MDPI, vol. 14(18), pages 1-31, September.
    3. Ahsan Waqar & Idris Othman & Roberto Alonso González-Lezcano, 2023. "Challenges to the Implementation of BIM for the Risk Management of Oil and Gas Construction Projects: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 15(10), pages 1-28, May.
    4. Carlos Araújo-Rey & Miguel A. Sebastián, 2021. "An Approach to the Analysis of Causes of Delays in Industrial Construction Projects through Planning and Statistical Computing," Sustainability, MDPI, vol. 13(7), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Myung-Hun Kim & Eul-Bum Lee & Han-Suk Choi, 2019. "A Forecast and Mitigation Model of Construction Performance by Assessing Detailed Engineering Maturity at Key Milestones for Offshore EPC Mega-Projects," Sustainability, MDPI, vol. 11(5), pages 1-21, February.
    2. Meng Yue & Guoqian Ma & Yuetao Shi, 2020. "Analysis of Gas Recirculation Influencing Factors of a Double Reheat 1000 MW Unit with the Reheat Steam Temperature under Control," Energies, MDPI, vol. 13(16), pages 1-22, August.
    3. Liu, Wenli & Li, Ang & Fang, Weili & Love, Peter E.D. & Hartmann, Timo & Luo, Hanbin, 2023. "A hybrid data-driven model for geotechnical reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    4. Byung-Yun Son & Eul-Bum Lee, 2019. "Using Text Mining to Estimate Schedule Delay Risk of 13 Offshore Oil and Gas EPC Case Studies During the Bidding Process," Energies, MDPI, vol. 12(10), pages 1-25, May.
    5. Min-Ji Park & Eul-Bum Lee & Seung-Yeab Lee & Jong-Hyun Kim, 2021. "A Digitalized Design Risk Analysis Tool with Machine-Learning Algorithm for EPC Contractor’s Technical Specifications Assessment on Bidding," Energies, MDPI, vol. 14(18), pages 1-31, September.
    6. Andy Lewin & Ekundayo Shittu & Thomas Mazzuchi & Rene Dorp, 2021. "The correlation of cost and schedule variance in satellite programs: level of effort versus discrete cost accounts," Environment Systems and Decisions, Springer, vol. 41(2), pages 248-266, June.
    7. Myung-Hun Kim & Eul-Bum Lee, 2019. "A Forecast Model for the Level of Engineering Maturity Impact on Contractor’s Procurement and Construction Costs for Offshore EPC Megaprojects," Energies, MDPI, vol. 12(12), pages 1-18, June.
    8. Locatelli, Giorgio & Mancini, Mauro, 2011. "Large and small baseload power plants: Drivers to define the optimal portfolios," Energy Policy, Elsevier, vol. 39(12), pages 7762-7775.
    9. Francisco Pinheiro Catalão & Carlos Oliveira Cruz & Joaquim Miranda Sarmento, 2023. "The entanglement of time and cost deviations in public projects," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(1), pages 241-272, March.
    10. Su Jin Choi & So Won Choi & Jong Hyun Kim & Eul-Bum Lee, 2021. "AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects," Energies, MDPI, vol. 14(15), pages 1-28, July.
    11. Kim, Byung-Cheol, 2022. "Multi-factor dependence modelling with specified marginals and structured association in large-scale project risk assessment," European Journal of Operational Research, Elsevier, vol. 296(2), pages 679-695.
    12. Barbara Tchórzewska-Cieślak & Katarzyna Pietrucha-Urbanik, 2018. "Approaches to Methods of Risk Analysis and Assessment Regarding the Gas Supply to a City," Energies, MDPI, vol. 11(12), pages 1-13, November.
    13. So-Won Choi & Eul-Bum Lee & Jong-Hyun Kim, 2021. "The Engineering Machine-Learning Automation Platform ( EMAP ): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects," Sustainability, MDPI, vol. 13(18), pages 1-33, September.
    14. Georgios K. Koulinas & Alexandros S. Xanthopoulos & Konstantinos A. Sidas & Dimitrios E. Koulouriotis, 2021. "Risks Ranking in a Desalination Plant Construction Project with a Hybrid AHP, Risk Matrix, and Simulation-Based Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3221-3233, August.
    15. Giuseppe F Gori & Patrizia Lattarulo & Marco Mariani, 2017. "Understanding the procurement performance of local governments: A duration analysis of public works," Environment and Planning C, , vol. 35(5), pages 809-827, August.
    16. Jesus Javier Losada-Maseda & Laura Castro-Santos & Manuel Ángel Graña-López & Ana Isabel García-Diez & Almudena Filgueira-Vizoso, 2020. "Analysis of Contracts to Build Energy Infrastructures to Optimize the OPEX," Sustainability, MDPI, vol. 12(17), pages 1-17, September.
    17. Yun-Ju Chen & Sheng Ming Hsu & Shu-Yi Liao & Tsung-Chi Chen & Wei-Chun Tseng, 2019. "Natural Gas or Algal Reef: Survey-Based Valuations of Pro-Gas and Pro-Reef Groups Specifically for Policy Advising," Energies, MDPI, vol. 12(24), pages 1-18, December.
    18. Ahsan Waqar & Idris Othman & Roberto Alonso González-Lezcano, 2023. "Challenges to the Implementation of BIM for the Risk Management of Oil and Gas Construction Projects: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 15(10), pages 1-28, May.
    19. Dong-Jin Cho & Eul-Bum Lee & Jae-Min Cho & Douglas Alleman, 2019. "Reducing the Superheating of Extraction Stream on Advanced-Ultra Super Critical Power Plants with Regenerative Turbines in South Korea: An Economic Analysis," Energies, MDPI, vol. 12(9), pages 1-22, May.
    20. He, Chusu & Milne, Alistair & Ataullah, Ali, 2023. "What explains delays in public procurement decisions?," Economic Modelling, Elsevier, vol. 121(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1613-:d:214672. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.