Using hyperion hyperspectral data and field spectrometry for identification of hydrocarbon leakagesvia VISA - SCM combined methodology and spatial data mining

The hydrocarbon seepages theory puts forward a cause and effect relationship between the oil and gas reservoirs and the specific surface anomalies which are basically related to hydrocarbon leakages as well as their related alterations. Hence, the spectral reflectance of the hydrocarbons and their linked mineral alterations produce credible pieces of evidence for oil and gas exploration. Hyperion images of EO-1satellite was used in this study for identifying the oil seepages and their relevant alterations. After collecting the required data, the images underwent the needed preprocessing. In order to recognize the oil seepages, these corrected data along with field-sampled spectrometric ones were employed. Then, VISA and SCM combined model was applied to indirectly identify the hydrocarbon seepages. Moreover, two hydrocarbon indexes were developed for direct recognition of the hydrocarbon seeps using Hyperion images. The findings indicate that the two mentioned techniques are efficacious for the purpose of the study at hand.