Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in the part Say'un-Masilah Basin of Yemen

Abstract

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.