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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.)

Crude oil spectral signatures and empirical models to derive API gravity

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Autor(es):
Correa Pabon, Rosa Elvira [1] ; de Souza Filho, Carlos Roberto [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Campinas UNICAMP, Inst Geosci, POB 6152, BR-13083855 Campinas, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: FUEL; v. 237, p. 1119-1131, FEB 1 2019.
Citações Web of Science: 1
Resumo

Infrared spectroscopy is presented as a quick alternative method for establishing crude oil properties such as density (degrees API gravity) and content of saturates, aromatics, resins and asphaltenes (SARA). Here, thirty seven (37) samples of crude oils with different degrees API gravities and SARA fractions were measured in the visible, near infrared and short wave infrared (VIS - NIR - SWIR/350-2500 nm), and in the middle and longwave infrared (MWIR-LWIR/3000-15,000 nm) ranges. Main C-H absorption bands and optimal intervals for the discrimination among oil types were identified in all spectral regions. Based on diffuse reflectance spectroscopy and equivalent wavelet spectra, Principal Component Analysis allowed distinguishing between three major groups of crude oils with varied densities. Partial Least Squares Regression analysis yielded sixteen predictive models tailored to estimate the degrees API of crude oils based on their spectral signatures in the NIR - SWIR - MWIR - LWIR intervals. These data and methods are swift and nondestructive ways to estimate the degrees API of crude oils, with latent applications in several chains of the petroleum industry, particularly to assess and manage the environmental impact caused by oil discharge, leakage and spill events. Additionally, considering that airborne and orbital sensor systems currently in operation can sense some of the crude oil absorption bands highlighted in this study, the oil signatures revealed here could be potentially used to map oil contamination in diverse settings and globally using remote sensing. (AU)

Processo FAPESP: 15/05728-8 - Caracterização Espectral de Solos Contaminados com Hidrocarbonetos Líquidos: Aplicações Potenciais no Monitoramento de Vazamentos em Instalações Petrolíferas e Dutos de Transporte Associados
Beneficiário:Rosa Elvira Correa Pabón
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado