Delineation of hydrocarbon potential zones in Masila oil field, Yemen

• Published in: Spatial information research (Online) Vol. 27; no. 2; pp. 121 - 135
• Main Authors: Alshayef, Mohammed Sultan, Javed, Akram, Mohammed, Arafat Mohammed Bin
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.04.2019; 대한공간정보학회
• Subjects: Database Management; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Remote Sensing/Photogrammetry; 공학일반; GIS integration; Lineament density and intersection density; Lineament orientation; Hydrocarbon exploration; Masila oil field of Yemen; Lineaments extraction
• ISSN: 2366-3286; 2366-3294
• DOI: 10.1007/s41324-018-0220-0

Hydrocarbon is a powerful contributor to development. The present study makes an attempt to use remote sensing data coupled with geophysical and geological data that has been integrated into Arc GIS to delineate favorable zones for hydrocarbon potential in the Masila oil field. Lineaments have been extracted using satellite data and geological data by their surface spectral signatures, whereas the subsurface lineaments have been inferred using geophysical data. Digital image processing of satellite image using ERDAS IMAGINE-14 have been carried out, sequentially using various techniques (Sobal, Laplacian filters and band composite), lineament digitized as layers, layers were converted to raster (grid) format, classified, analyzed, integrated and visualized using Arc GIS. The resulting lineaments obtained from each data, suggests that most of the lineaments are trended in NW–SE which coincides and are in conformity with the existing trend of the study area. The output potential map was classified into five zones of hydrocarbon potentiality, namely very high, high, moderate, low and very low potential zones. The hydrocarbon evaluation results of the present study reveal that 6.9% of the total area falls under very high potential, 14.2% highly potential, 21.3% moderately potential, 25.7% low potential and 31.9% falls under very low potential zones. The zones were verified with oil fields and existing wells in the area which shows a positive correlation. Such studies are significant for hydrocarbon potential resource planning and management. Further, the methodology used for this study can be, replicated in another similar geological setup elsewhere for mapping hydrocarbon potential zones.