Skip to main navigation Skip to search Skip to main content

The quantification of energy consumption and gaseous emissions associated with decommissioning offshore oil and gas installations

    Research output: Contribution to journal › Article › peer-review

    Abstract

    Following the failure to implement the proposed deep-sea disposal of the North Sea Brent Spar oil installation the UK oil industry has identified energy consumption and gaseous emission as a key determinant of environmental impact associated with the abandonment of offshore facilities. In the absence of a standardized methodology this paper describes the approach adopted and results achieved using the North Sea Heather platform as a case study. The study develops and then applies a set of rules for conducting such analyses. Results show that in terms of energy consumption and greenhouse gas emissions there is little to choose between most partial and complete removal options. The energy cost advantages of recycling are largely offset by increased transport costs returning materials to shore. The study also highlights the importance of case specific variables, in particular, marine vessel fuel consumption.

    Original languageEnglish
    Pages (from-to)251-273
    Number of pages23
    JournalCivil Engineering and Environmental Systems
    Volume15
    Issue number4
    DOIs
    Publication statusPublished - 1998

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy
    2. SDG 14 - Life Below Water
      SDG 14 Life Below Water

    Keywords

    • Abandonment
    • Decommissioning
    • Energy analysis
    • Energy consumption
    • Environmental impact
    • Gaseous emissions
    • North Sea oil gas

    Fingerprint

    Dive into the research topics of 'The quantification of energy consumption and gaseous emissions associated with decommissioning offshore oil and gas installations'. Together they form a unique fingerprint.

    Cite this