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

Arafat Mohammed Bin Mohammed; Akram Javed; Mohammed Sultan Alshayef

doi:doi:10.11648/j.ajrs.20170501.11

| Peer-Reviewed

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

Arafat Mohammed Bin Mohammed, Akram Javed, Mohammed Sultan Alshayef

Published in American Journal of Remote Sensing (Volume 5, Issue 1)

Received: 12 February 2017 Accepted: 6 March 2017 Published: 21 March 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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.

Published in	American Journal of Remote Sensing (Volume 5, Issue 1)
DOI	10.11648/j.ajrs.20170501.11
Page(s)	1-9
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Petroleum Exploration, Spatial Modeling, MCE, Fuzzy Logic, Favorability Zones

References

[1]	Carter, S., 1991, Site search and multicriteria evaluation: Planning Outlook, vol.34, p. 27-36.
[2]	Heywood, I., S. Cornelius, and S. Carver, 2006, An introduction to geographical information systems: Harlow, England, Pearson Prentice Hall, p 426.
[3]	Heywood, I., J. Oliver, and S. Tomlinson, 1995, Building an exploratory multicriteria modeling environment for spatial decision support: Innovations in GIS, vol. 2, p. 127-136.
[4]	Saaty, R., 1987, The analytical hierarchy process: What it is and how it is used: Mathematical Modeling, vol.9, p.161176, doi:10.1016/02700255(87)90473-8.
[5]	Andriantiatsaholiniaina, L., V. S. Kouikoglou, and Y. A. Phillis, 2004, Evaluating strategies for sustainable development: Fuzzy logic reasoning and sensitivity analysis: Ecological Economics, vol. 48, p. 149-172, doi:10.1016/j.ecolecon.2003.08.009.
[6]	Voogd, H., 1983, Multicriteria evaluation for urban and regional planning: London, United Kingdom, Pion Limited, 367 p
[7]	Carver, S. J., 1991, Integrating multicriteria evaluation with geographical information systems: International Journal of Geographical Information Systems, vol.5, p. 321-339, doi:10.1080/02693799108927858.
[8]	Bonham-Carter, G. F., 1994, Geographic information systems for geoscientists modeling with GIS: Computer methods in the geosciences: Oxford, Pergamon, 398 p.
[9]	Aminzadeh, F., 1994, Applications of fuzzy expert systems in integrated oil exploration: Computers and Electrical Engineering, v. 20, p. 89-97, doi:10.1016/0045-7906(94)90023-X.
[10]	Wright, D. F., and G. F. Bonham-Carter, 1996, VHMS favorability mapping with GIS-based integration models, Geological Survey of Canada Bulletin 426, p. 339-376.
[11]	Tounsi, M., 2005, An approximate reasoning-based technique for oil assessment: Expert Systems with Applications, v. 29, p. 485-491, doi:10.1016/j.eswa.2005.05.001.
[12]	Bingham L., Zurita M. R., and Escalona A., Geographic information system–based fuzzy-logic analysis for petroleum exploration with a case study of northern South America, American Association Petroleum Geologists. AAPG Bulletin, vol.96, no.11 (November 2012), p.2121–2142.
[13]	Greenwood, W. R., Anderson, R. E., Fleck, R. J., and Roberts, R. J., 1980, Precambrian geologic history and plate tectonic evolution of the Arabian Shield, Directorate General of Mineral Resources, Ministry of Petroleum and Mineral Resources, Jiddah, Saudi Arabia, Bulletin 24, 35 p.
[14]	Husseini, M. I., 1989, Tectonic and deposition model of Late Precambrian–Cambrian Arabian and adjoining plates, American Association of Petroleum Geologists Bulletin, v. 73, p. 1117–1131.
[15]	Jungwirth, J., and As-Saruri, M., 1990, Structural evolution of the platform cover on southern Arabian Peninsula (P. D. R. Yemen), Zeitschrift fur Geologische Wissenschaft, vol. 18, p. 505–514.
[16]	Schlumberger, 1992, Looking for Yemen’s hidden treasure, Middle East Well Evaluation Review, no.12, p. 12–20.
[17]	Redfern, P., and Jones, J. A., 1995, The interior rifts of Yemen Analysis of basin structure and stratigraphy in a regional plate tectonic context, Basin Research, v. 7, p. 337–356.
[18]	Csato, I., Habib, A., Kiss, K., Kocz, I., Kovacs, Z., Lorincz, K., and Milota, K., 2001, Play concepts of oil exploration in Yemen, Oil and Gas Journal, v. 99, no. 23, p. 68–74.
[19]	Beydoun, Z. R., 1997, Introduction to the revised Mesozoic stratigraphy and nomenclature for Yemen, Marine and Petroleum Geology, v. 14, no. 6, p. 617–629.
[20]	Beydoun, Z. R., A. L. As-Saruri, Mustafa, El-Nakhal, Hamed, Al-Ganad I. N., Baraba, R. S., Nani, A. S. O., and Al-Aawah, M. H., 1998, International lexicon of stratigraphy, Volume III, Republic of Yemen, Second Edition: International Union of Geological Sciences and Ministry of Oil and Mineral Resources, Republic of Yemen Publication 34, 245 p.
[21]	Putnam, P. E., Kendall, G., and Winter, D. A., 1997, Estuarine deposits of the Upper Qishn formation (Lower Cretaceous), Masila region, Yemen, American Association of Petroleum Geologists Bulletin, v. 81, no. 8, p. 1306–1329.
[22]	Lalor, J. H., The Olympic Dam copper-uranium-gold deposit, South Australia, Transactions Fourth Circum-Pacific Energy and Mineral Resources Conference, Singapore. American Association Petroleum Geologists. Tulsa, Oklahoma: 561-567, 1986.
[23]	Woodall, R., 1993, The multidisciplanary team approach to successful mineral exploration, Society of Economic Geologists Newsletter 14: 1-6.
[24]	Woodall, R., 1994, Empiricism and concept in successful mineral exploration, Australian Journal of Earth Sciences 41 (1): 1-10.
[25]	O'Driscoll, E. S. T. & Campbell, I. B., 1997, Mineral deposits related to Australian continental ring and rift structures with some terrestrial and planetary analogies, Global Tectonics and Metallogeny vol. 6: p. 83-101.
[26]	Mostafa, M., Zakir, F., 1996, New enhanced techniques for azimuthal analysis of lineaments for detecting tectonic trends in and around the Afro-Arabian Shield, International Journal of Remote Sensing, vol. 17, p. 2923–2943.
[27]	Arlegui, L. E., Soriano, M. A., 1998, Characterizing lineaments from satellite images and field studies in the central Ebro basin (NE Spain), International Journal of Remote Sensing vol. 19, p. 3169-3185.
[28]	Suzen, M. L., Toprak, V., 1998, Filtering of satellite images in geological lineament analyses: an application to a fault zone in Central Turkey, International Journal of Remote Sensing, vol.19, p. 1101–1114.
[29]	Zakir, F., Qari, M., Mostfa, M., 1999, A new optimising technique for preparing lineament density maps, International Journal of Remote Sensing, vol.20, p. 1073–1085.
[30]	Arafat M. M., Palanivel K, Kumanan C. J, Ramsamy SM, 2010, Significance of surface lineaments for oil and Gas Explorations in part of Sabatayn Basin, Yemen, Journal of Geography and Geology, Vol.2, No.(1), pp.119-228. www.ccsenet.org/jgg.
[31]	Arafat M. M., Palanivel K, C. J. Kumanan, SM Ramsamy, 2011, Spatial Analysis of Geosystem Parameters for Hydrocarbon Prospecting in part of Yemen, Journal of Geomatics, Vol. 5, No. (1), pp25-29.
[32]	Sawatzky, D. L., G. L. Raines, G. F. Bonham-Carter, and C. G. Looney, 2009, Spatial data modeller (SDM): ArcMAP 9.3geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy-logic and neural networks: http://arcscripts.esri.com/details.asp?dbid=15341(accessed January 15, 2011(.
[33]	An, P., W. M. Moon, and A. Rencz, 1991, Application of fuzzy set theory for integration of geological, geophysical and remote sensing data, Canadian Journal of Exploration Geophysics, vol. 27, p. 1–11.

Cite This Article

Plain Text BibTeX RIS

APA Style

Arafat Mohammed Bin Mohammed, Akram Javed, Mohammed Sultan Alshayef. (2017). Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen. American Journal of Remote Sensing, 5(1), 1-9. https://doi.org/10.11648/j.ajrs.20170501.11

Copy | Download

ACS Style

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. Am. J. Remote Sens. 2017, 5(1), 1-9. doi: 10.11648/j.ajrs.20170501.11

Copy | Download

AMA Style

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. Am J Remote Sens. 2017;5(1):1-9. doi: 10.11648/j.ajrs.20170501.11

Copy | Download

@article{10.11648/j.ajrs.20170501.11,
  author = {Arafat Mohammed Bin Mohammed and Akram Javed and Mohammed Sultan Alshayef},
  title = {Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen},
  journal = {American Journal of Remote Sensing},
  volume = {5},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ajrs.20170501.11},
  url = {https://doi.org/10.11648/j.ajrs.20170501.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20170501.11},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen
AU  - Arafat Mohammed Bin Mohammed
AU  - Akram Javed
AU  - Mohammed Sultan Alshayef
Y1  - 2017/03/21
PY  - 2017
N1  - https://doi.org/10.11648/j.ajrs.20170501.11
DO  - 10.11648/j.ajrs.20170501.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20170501.11
AB  - 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.
VL  - 5
IS  - 1
ER  -

Copy | Download

Author Information

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

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Arafat Mohammed Bin Mohammed, Akram Javed, Mohammed Sultan Alshayef. (2017). Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen. American Journal of Remote Sensing, 5(1), 1-9. https://doi.org/10.11648/j.ajrs.20170501.11

Copy | Download

ACS Style

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. Am. J. Remote Sens. 2017, 5(1), 1-9. doi: 10.11648/j.ajrs.20170501.11

Copy | Download

AMA Style

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. Am J Remote Sens. 2017;5(1):1-9. doi: 10.11648/j.ajrs.20170501.11

Copy | Download

@article{10.11648/j.ajrs.20170501.11,
  author = {Arafat Mohammed Bin Mohammed and Akram Javed and Mohammed Sultan Alshayef},
  title = {Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen},
  journal = {American Journal of Remote Sensing},
  volume = {5},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ajrs.20170501.11},
  url = {https://doi.org/10.11648/j.ajrs.20170501.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20170501.11},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen
AU  - Arafat Mohammed Bin Mohammed
AU  - Akram Javed
AU  - Mohammed Sultan Alshayef
Y1  - 2017/03/21
PY  - 2017
N1  - https://doi.org/10.11648/j.ajrs.20170501.11
DO  - 10.11648/j.ajrs.20170501.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20170501.11
AB  - 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.
VL  - 5
IS  - 1
ER  -

Copy | Download