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

Year 2017, Volume: 4 Issue: 2, 103 - 115, 15.05.2017

Arafat Mohammed Bin Mohammed Akram Javed Mohammed Sultan Alshayef

https://doi.org/10.30897/ijegeo.312616

Cited By: 2

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.

Keywords

Petroleum Exploration, Spatial Modeling, MCE, Fuzzy Logic, favorability zones

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