GIS Provides spatial and analytical support to assess multicriteria (MCE) methods, which are used to combine data to show areas best fulfilling specific criteria. Petroleum explorations would benefit from an MCE method that is spatial, is flexible for combining heterogeneous data, considers the interpretive nature of the data, is geologically applicable, and is applicable for frontier areas or where little information exists regarding probabilities of the presence of petroleum .This study proposes a GIS-based MCE method for petroleum exploration based on fuzzy logic, which fulfills the previously stated requirements using 9 subcriteria combined to produce a favorability map of potential exploration areas. A case study applied to Sayun Almasilah Basin East Yemen. We conclude that the method can be applied in an exploration setting and, as such, is applicable for other regions of the world.
Exploration of hydrocarbon resources is a highly complicated and costly process where different geological, geochemical and geophysical element are improved then combined together. It is highly important how to plan the seismic data acquisition survey and locate the exploratory wells since inaccurate or imprecise locations lead to waste of time and money during the operation. The goal of this study is to locate high-potentially oil and gas province in Ayad Area to reduce both time and costs in exploration and development processes. In this observe, 8 maps were developed using GIS functions for factors including: basement structure (BDM), Bouguer gravity anomalies (GAM), pre rift isopach map (PRIM), syn rift isopach map (SRIM), salt depth map (SDM),subsurface faults system(SFS), Lower pre rift Isopach map (LPRI),and Upper pre rift Isopach map (UPRI). To model and to integrate maps, this study employed Weighted Liner Composition(WLC) and Analytic Hierarchy Process (AHP) methods to locate high-potential zones of hydrocarbon prospects. the hydrocarbon potential map was classified to five classes from very low to very high potential. The classes of hydrocarbon potential map were checked against the distribution of the exploration wells and oil fields in Ayad area. The final favorable potential map suggested new promising areas for hydrocarbon accumulations which were found in agreement to the validated ground truth data.
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