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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Detection of heavy hydrocarbon plumes (Ethane, propane and Butane) using airborne longwave (7.6-13.5 mu m) infrared hyperspectral data

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Autor(es):
Moreira Scafutto, Rebecca Del'Papa [1] ; de Souza Filho, Carlos Roberto [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, UNICAMP, Inst Geosci, POB 6152, BR-13083855 Campinas, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: FUEL; v. 242, p. 863-870, APR 15 2019.
Citações Web of Science: 0
Resumo

Recent developments in the detection of gaseous hydrocarbons (HCs) through remote sensing are focused on the characterization of methane (CH4). Basically, there is no research related to remote sensing of other heavier HC gases (ethane: C2H6, propane: C3H8, butane: C4H10), whether derived from natural seeps or from leaks at various stages of production, transportation and storage of petroleum resources. Just as methane; ethane, propane and butane have typical spectral signatures in the longwave infrared region (7.6-13.5 mu m), which potentiates their detection by means of airborne hyperspectral sensors (nadir or oblique measurements) or by fixed, ground-based hyperspectral and ultraspectral sensors (horizontal/profile measurements). In this context, the aim of this work is to evaluate the detection limits of the Spatially-Enhanced Broadband Array Spectrograph System (SEBASS) for the identification of ethane, propane and butane in gaseous emissions under controlled leaks. Due to the low content of heavy HCs (C2-C4) in the tested mixtures, they were only identified in plumes derived from sources with emission rates equal to or greater than 1000 standard cubic feet per hour (scf/h). Despite the complex mixture comprised in the plume, the spectral absorption features of each HC allowed their individualization in the SEBASS imagery. The methodology introduced here demonstrates that airborne hyperspectral thermal sensors can identify the different types of HC gases composing the plume, strengthening the possibilities for the evaluation of gas leaks from petroleum installations and natural seeps, assisting in exploration campaigns and diminishing the risk for technological accidents in industrial plants. (AU)

Processo FAPESP: 15/19842-7 - Avaliação de Imagens Hiperespectrais no Infravermelho Termal para a Detecção e Caracterização de Exsudações de Gás Termogênico em Sítios Continentais
Beneficiário:Rebecca Del Papa Moreira Scafutto
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado