Mapping the Mineralogical Footprints of Petroleum Microseepage Systems in Redbeds of the Qom Region (Iran) Using EnMAP Hyperspectral Data

This study utilizes EnMAP hyperspectral satellite data to map the mineralogical footprints of hydrocarbon microseepage systems induced in the Upper-Red Formation (URF), a clastic Upper Miocene sedimentary sequence in the Qom region (Iran) affected by petroleum leakage from the underlying Alborz reservoir. The Level 2A surface reflectance product of EnMAP was processed using spectral matching and polynomial fitting techniques to characterize diagnostic absorption features associated with microseepage-induced alteration minerals. The identified mineralogical changes include partial to complete bleaching of hematite from redbeds, the formation of secondary goethite, and the development of montmorillonite, calcite, and Fe2+-bearing chlorite across the affected zones. Compared to previous studies conducted using ASTER and Sentinel-2 multispectral data, EnMAP demonstrated superior performance in identifying mineralogy and delineating petroleum-affected zones, with results aligning closely with field observations and laboratory spectroscopy. This study highlights the advantages of EnMAP hyperspectral data for mapping diagenetic mineralogical alterations induced in sedimentary strata, facilitating remote sensing-based detection of microseepage, and advancing petroleum exploration in exposed terrains.

Authors

Institutions

Publication Details

Journal
Remote Sensing
Published
2025-06-18
DOI
https://doi.org/10.3390/rs17122088
Citations
2
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
4.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping the Mineralogical Footprints of Petroleum Microseepage Systems in Redbeds of the Qom Region (Iran) Using EnMAP Hyperspectral Data

Saeid Asadzadeh, Yasmin Elhaei
2 citations
Remote Sensing
Geochemistry and Geologic Mapping
4.96
article

Mapping the Mineralogical Footprints of Petroleum Microseepage Systems in Redbeds of the Qom Region (Iran) Using EnMAP Hyperspectral Data

Saeid Asadzadeh, Yasmin Elhaei
article en
2 citations

Abstract

This study utilizes EnMAP hyperspectral satellite data to map the mineralogical footprints of hydrocarbon microseepage systems induced in the Upper-Red Formation (URF), a clastic Upper Miocene sedimentary sequence in the Qom region (Iran) affected by petroleum leakage from the underlying Alborz reservoir. The Level 2A surface reflectance product of EnMAP was processed using spectral matching and polynomial fitting techniques to characterize diagnostic absorption features associated with microseepage-induced alteration minerals. The identified mineralogical changes include partial to complete bleaching of hematite from redbeds, the formation of secondary goethite, and the development of montmorillonite, calcite, and Fe2+-bearing chlorite across the affected zones. Compared to previous studies conducted using ASTER and Sentinel-2 multispectral data, EnMAP demonstrated superior performance in identifying mineralogy and delineating petroleum-affected zones, with results aligning closely with field observations and laboratory spectroscopy. This study highlights the advantages of EnMAP hyperspectral data for mapping diagenetic mineralogical alterations induced in sedimentary strata, facilitating remote sensing-based detection of microseepage, and advancing petroleum exploration in exposed terrains.

Remote SensingVol. 17(12)
Shahid Chamran University of Ahvaz (IR), GFZ Helmholtz Centre for Geosciences (DE)
Deutsches Zentrum für Luft- und Raumfahrt
Openalex Percentile: Top 5%
Geochemistry and Geologic Mapping
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mapping the Mineralogical Footprints of Petroleum Microseepage Systems in Redbeds of the Qom Region (Iran) Using EnMAP Hyperspectral Data — Saeid Asadzadeh, Yasmin Elhaei · Remote Sensing (2025) | TGRS Research Map | TGRS