Gislaine Costa in Book of abstracts of the 17th Latin American Congress on Organic Geochemistry

Federal University of Rio de Janeiro

Gislaine Costa

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Papers 4

Stepwise pyrolysis-GC-MS for the geochemical characterization of potential source rocks
Poly P ¹
Kartnaller V ²
Siqueira CYDS ¹
Costa G ²
Binotto R ³
¹ Federal University of Rio de Janeiro
² Universidade Federal do Rio de Janeiro
³ CENPES/PETROBRAS
-
346965

Advanced Analytical Techniques in Organic Geochemistry

Poster presentation
Whole-Rock Molecular and Biomarker Characterization of Tremembé Formation Outcrop Samples by Stepwise Analytical Pyrolysis (Py-GC/MS)
Barbanti S ¹
Kartnaller V ¹
Costa G ¹
Siqueira CYDS ²
Binotto R ³
¹ Universidade Federal do Rio de Janeiro
² Federal University of Rio de Janeiro (UFRJ)
³ Leopoldo Américo Miguez de Mello Research Center (CENPES/Petrobras)
-
346932

Source Rock, Oil, and Gas Characterization

Poster presentation
An integrated approach using stepwise Py-GC-MS and Rock-Eval pyrolysis for oil generation prediction
Costa G ¹
Reis TDO ¹
Oliveira MD ¹
Barbanti S ¹
Siqueira CYDS ²
Binotto R ³
Kartnaller V ¹
¹ Universidade Federal do Rio de Janeiro
² Federal University of Rio de Janeiro
³ CENPES/PETROBRAS
-
346677

Source Rock, Oil, and Gas Characterization

Poster presentation
Source Rock Py-GC-MS Data Deconvolution via an Open-Source Python GUI for MCR-ALS
Oliveira MMD ¹
Costa G ¹
Siqueira CYDS ²
Binotto R ³
Kartnaller V ²
¹ Universidade Federal do Rio de Janeiro
² Federal University of Rio de Janeiro
³ CENPES/PETROBRAS
-
346589

Data Mining & Artificial Intelligence in Organic Geochemistry

Poster presentation

Co-authors (9)

Publications in other proceedings

CBGq 2025
CHEMOMETRICS AND DSI-GC-MS METHOD FOR PETROLEUM SOURCE-ROCKS ANALYSIS

ALAGO 2026

Book of abstracts of the 17th Latin American Congress on Organic Geochemistry

Gislaine Costa

Stepwise pyrolysis-GC-MS for the geochemical characterization of potential source rocks

Whole-Rock Molecular and Biomarker Characterization of Tremembé Formation Outcrop Samples by Stepwise Analytical Pyrolysis (Py-GC/MS)

An integrated approach using stepwise Py-GC-MS and Rock-Eval pyrolysis for oil generation prediction

Source Rock Py-GC-MS Data Deconvolution via an Open-Source Python GUI for MCR-ALS

Co-authors (9)

Celeste Yara dos Santos Siqueira

Vinicius Kartnaller

Regina Binotto

Silvana Barbanti

Mateus Mauricio de Oliveira

Polyana Poly

Regina Binotto

Taís de Oliveira Reis

Mateus de Oliveira

Publications in other proceedings

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