Estimating GHG Emission Level from Oil and Gas Offshore Production Facility
Autor: | Satya Pinem, Mahawan Karuniasa, Chairil Abdini |
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Rok vydání: | 2020 |
Předmět: |
lcsh:GE1-350
business.industry 020209 energy Fossil fuel Environmental engineering Climate change 02 engineering and technology 010501 environmental sciences Combustion 01 natural sciences chemistry.chemical_compound chemistry Greenhouse gas 0202 electrical engineering electronic engineering information engineering Production (economics) Environmental science Petroleum Submarine pipeline business lcsh:Environmental sciences 0105 earth and related environmental sciences |
Zdroj: | E3S Web of Conferences, Vol 202, p 09004 (2020) |
ISSN: | 2267-1242 |
DOI: | 10.1051/e3sconf/202020209004 |
Popis: | Oil and gas (O&G) production activities emits greenhouse gases (GHG) which must be well estimated to improve accountability and formulating efficient mitigation. The Indonesia’s GHG emission reported thru Nationally Determined Contribution (NDC) was estimated by Tier-1 Intergovernmental Panel on Climate Change (IPCC) method, while the O&G company adopts different methodology. This leads to asynchronous GHG emission contribution of this industry to national GHG emission. This paper aims to estimate the GHG inventory from O&G offshore production facility by using American Petroleum Institute (API) Compendium Methodology and compare it with Tier-1 IPCC Methodology. It found that GHG emission estimated by API method is significantly lower than IPCC method. Both methods shown fuel combustion sources are the dominant. GHG emission sources from fuel combustion and flaring have been well identified, but emission sources from venting and fugitive need to be improved. Moreover this study identified that to have more accurate national GHG inventory, the GHG calculation method might be different for each industry segment. This evaluation could improve the future national GHG inventory and as reference for the industry. National emission factors database for O&G industry segment is highly suggested to be developed. |
Databáze: | OpenAIRE |
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