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Evaluation of hyperspectral images in the thermal infrared for detection and characterization of thermogenic gas Seepages in continental areas

Grant number: 15/19842-7
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): February 01, 2016
Effective date (End): October 05, 2019
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Carlos Roberto de Souza Filho
Grantee:Rebecca Del Papa Moreira Scafutto
Home Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated scholarship(s):18/12969-0 - Hyperspectral remote sensing detection of methane plumes in the VNIR-SWIR range: field experiment and case study, BE.EP.PD

Abstract

The occurrence of thermogenic gas seeps in continental regions is a well-known and important marker for hydrocarbon exploration. Operational methods for direct detection of these gases, however, are rare and mostly based on soil gasometry. Brazilian onshore sedimentary basins have a great potential for the discovery of new gas reserves, mainly in the southeastern and northeastern regions of the country where, recently, new reservoirs were discovered and some are already in production (eg, Gavião fileds, Parnaíba Basin). Methane (CH4) is one of the primary components of thermogenic gas. The identification of plumes of this hydrocarbon at surface can reveal new potential plays, leading oil exploration campaigns. Methane presents diagnostic spectral absorption bands in the longwave infrared (or thermal infrared), centered between 7,4-8 micrometers. Sensors able to detect the thermal infrared radiation emitted from targets along these wavelengths therefore can be used for the remote sensing of gaseous plumes. In this context, the purpose of this research is to evaluate the use of thermal hyperspectral remote sensing data to detect and to semiquantify thermogenic gas plumes in continental regions. In order to achieve this aim, emissivity data yielded from a controlled seepage simulation of natural gas (methane) were sensed with an airborne thermal hyperspectral imager, namely Spatially Enhanced Broadband Array System Spectrograph (SEBASS), which operates between 7.6-13.5 µm. Among the results, we expect to develop a methodology capable of assisting the discovery of new natural gas reserves in the Brazilian continental basins.

Scientific publications (5)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MOREIRA SCAFUTTO, REBECCA DEL'PAPA; DE SOUZA FILHO, CARLOS ROBERTO. Detection of heavy hydrocarbon plumes (Ethane, propane and Butane) using airborne longwave (7.6-13.5 mu m) infrared hyperspectral data. FUEL, v. 242, p. 863-870, APR 15 2019. Web of Science Citations: 0.
MOREIRA SCAFUTTO, REBECCA DEL' PAPA; DE SOUZA FILHO, CARLOS ROBERTO. Detection of Methane Plumes Using Airborne Midwave Infrared (3-5 mu m) Hyperspectral Data. REMOTE SENSING, v. 10, n. 8 AUG 2018. Web of Science Citations: 2.
MOREIRA SCAFUTTO, REBECCA DELPAPA; DE SOUZA FILHO, CARLOS ROBERTO; RILEY, DEAN N.; DE OLIVEIRA, WILSON JOSE. Evaluation of thermal infrared hyperspectral imagery for the detection of onshore methane plumes: Significance for hydrocarbon exploration and monitoring. International Journal of Applied Earth Observation and Geoinformation, v. 64, p. 311-325, FEB 2018. Web of Science Citations: 6.
MOREIRA SCAFUTTO, REBECCA DEL'PAPA; DE SOUZA FILHO, CARLOS ROBERTO; DE OLIVEIRA, WILSON JOSE. Hyperspectral remote sensing detection of petroleum hydrocarbons in mixtures with mineral substrates: Implications for onshore exploration and monitoring. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 128, p. 146-157, JUN 2017. Web of Science Citations: 26.
SCAFUTTO, REBECCA DEL'PAPA MOREIRA; DE SOUZA FILHO, CARLOS ROBERTO; RIVARD, BENOIT. Characterization of mineral substrates impregnated with crude oils using proximal infrared hyperspectral imaging. REMOTE SENSING OF ENVIRONMENT, v. 179, p. 116-130, JUN 15 2016. Web of Science Citations: 21.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.