Abstract
Unlike carbon footprint in fossil fuel usage, few studies have investigated carbon footprint in the upstream petroleum industry. Currently, there is no published offshore carbon footprint study, and the carbon footprint of unmanned offshore platforms in Indonesia remains unclear. This study aims to identify the potential carbon footprint of offshore platforms in the Madura Field during offshore production based on the data activity using the life cycle approach. The data inventory had been monitored for a one-year natural gas production cycle from four unmanned platforms and one processing platform in Madura Field. The results show that the unmanned offshore platforms generated an average of 98.77 kg CO2eq/GJ with a high deviation (± 3.34). The processing platform’s average carbon footprint is 1232 kg CO2eq/GJ, which indicates the wide carbon footprint range between production platforms. Carbon footprint in the offshore platform is essential for completing the cradle to grave footprint identification since it is one of the important environmental sustainable indicators used as environmental evaluation tools. Understanding the footprint level in the upstream petroleum industry is significant for studying climate change’s impact on offshore activity, potential carbon generation released to the environment, and the key step of establishing a carbon reduction plan for the petroleum industry. Therefore, climate sustainability evaluation in the upstream petroleum industry can be assessed continuously.
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API contributed to conceptualization, methodology, formal analysis, writing, validation, original draft, and interpretation. AUF was involved in review, writing, and discussion. RB performed review and supervision. AR contributed to software analysis and data inventory. SP contributed to data resource, manuscript revision, and data verification. L-HCH performed supervision, data curation, visualization, writing, and review.
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Iswara, A.P., Farahdiba, A.U., Boedisantoso, R. et al. Carbon footprint of offshore platform in Indonesia using life cycle approach. Environ Dev Sustain 25, 11263–11284 (2023). https://doi.org/10.1007/s10668-022-02526-w
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DOI: https://doi.org/10.1007/s10668-022-02526-w