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Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen
American Journal of Remote Sensing
Volume 5, Issue 1, February 2017, Pages: 1-9
Received: Feb. 12, 2017; Accepted: Mar. 6, 2017; Published: Mar. 21, 2017
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Arafat Mohammed Bin Mohammed, Department of Oil & Gas, Faculty of Oil and Minerals, Aden University, Shabwa, Yemen
Akram Javed, Department of Geology, Faculty of Science, Aligarh Muslim University, Aligarh, India
Mohammed Sultan Alshayef, Department of Geology, Faculty of Science, Aligarh Muslim University, Aligarh, India
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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.
Petroleum Exploration, Spatial Modeling, MCE, Fuzzy Logic, Favorability Zones
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Arafat Mohammed Bin Mohammed, Akram Javed, Mohammed Sultan Alshayef, Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen, American Journal of Remote Sensing. Vol. 5, No. 1, 2017, pp. 1-9. doi: 10.11648/j.ajrs.20170501.11
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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