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Predicting GC-MS Biomarker Ratios from FT-ICR MS Molecular Fingerprints by PLS/OPS Regression
-347472 -
Organic Geochemistry assessments of Brazilian crude oils unveiled by FT-ICR MS
-347439 -
A Deep Learning Framework for Global Alignment of Historical GC-MS Data Toward AI-ready Geochemical Workflows
-346661 -
Geochemical evaluation of crude oils recovered during water-alternating-gas injection using in silico replicas and untargeted analysis
-346588 -
Rapid geochemical screening of light hydrocarbons in pre-salt crude oils using a tile-based Fisher ratio approach and GC×GC-TOFMS
-346558
Publications in other proceedings
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CBGq 2025
OPERATIONAL PROCESS CLASSIFICATION IN PETROLEUM RESERVOIRS BASED ON APPI (+) FT-ICR MS AND CHEMOMETRIC PROFILING
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CBGq 2025
APPI (+) FT-ICR MS AND MACHINE LEARNING FOR THE DIFFERENTIATION OF WEATHERED CRUDE OILS FROM DIFFERENT ORIGINS
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CBGq 2025
CHEMISTRY AS A COMPASS: MULTIVARIATE EXPLORATION OF WELL CONNECTIVITY IN RESERVOIR SYSTEMS
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CBGq 2025
PREDICTIVE MODELING OF PRODUCTION ALLOCATION IN OIL WELLS USING APPI (+) FT-ICR MS AND MULTIVARIATE APPROACHES
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CBGq 2025
Molecular Discrimination of Geological Formations in Reservoir Samples Using ESI(-) FT-ICR MS and Supervised Modeling
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