Ms. Precious Via G. Miraballes Profile

Precious Via G. Miraballes

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Proceedings Article | 29 January 2024 Paper

Mapping potential areas for hydrocarbon microseepage in Lower Agusan River Basin, Caraga, Philippines using Sentinel 2 imagery

Jenny Pearl Evangelio, Precious Via Miraballes, Riva Karyl Varela, Jun Love Gesta

Proceedings Volume 12977, 129771H (2024) https://doi.org/10.1117/12.3009576

KEYWORDS: Principal component analysis, Fuzzy logic, Remote sensing, Earth sciences, Resource sensing

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Satellite remote sensing assesses hydrocarbon-rich areas in sedimentary basins by analyzing multi-spectral remote sensing-derived geological data. This study used geospatial datasets and techniques to map potential hydrocarbon microseepage areas in the Lower Agusan River Basin, Caraga, Philippines. The study employed parameters such as clay-carbonate alteration symptoms, ferric iron, ferrous iron minerals, Normalized Difference Vegetation Index (NDVI), and geological characteristics. Principal component analysis (PCA) was conducted on Sentinel 2 multispectral satellite imagery to detect mineral alteration phenomena. The PCA processing resulted in having PCA 3, with a value of -1.31862, to be used to extract the ferric iron mineralization. Moreover, PCA 1 has the highest eigenvector value for the ferrous iron band ratio, with a value of 1.34926. Lastly, PCA 2 extraction reveals clay carbonate mineralization with an eigenvector value of -1.19985. The fuzzy logic method was then applied to each parameter and integrated to determine the distribution of hydrocarbon microseepage areas. The results revealed that 83.3% of the study area exhibits a high potential for hydrocarbon microseepage, while 15.4% and 1.3% indicate moderate and low potential, respectively.

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