Integration Based GIS Weighted Linear Combination (WLC) model for Delineation Hydrocarbon Potential Zones in Ayad Area (Yemen) Using Analytic Hierarchy Process (AHP) Technique
International Journal of Geoinformatics and Geological Science |
© 2017 by SSRG - IJGGS Journal |
Volume 4 Issue 2 |
Year of Publication : 2017 |
Authors : Arafat Mohammed Bin Mohammed |
How to Cite?
Arafat Mohammed Bin Mohammed, "Integration Based GIS Weighted Linear Combination (WLC) model for Delineation Hydrocarbon Potential Zones in Ayad Area (Yemen) Using Analytic Hierarchy Process (AHP) Technique," SSRG International Journal of Geoinformatics and Geological Science, vol. 4, no. 2, pp. 1-5, 2017. Crossref, https://doi.org/10.14445/23939206/IJGGS-V4I4P101
Abstract:
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 LinerComposition(WLC) and Analytic Hierarchy Process (AHP) methods to locatehigh-potential zones of hydrocarbon prospects.the hydrocarbon potential map was classified tofive classes from very low to very high potential. Theclasses of hydrocarbon potential map were checked againstthe 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.
Keywords:
GIS, WLC, AHP, Hydrocarbon Potential, Ayad area.
References:
[1] Carranza, E. M.,Ruitenbeek, F. A., Hecker, C.,Meijde, M. V. &Meer, F.D., 2008- Knowledgeguided data-driven evidential belief modeling of mineral prospectively in Cabo de gata, SE Spain International Journal of applied Earth Observation and Geoinformation, 10:374-387
[2] Malczewski, J. (1999). GIS and multicriteria decision analysis. John Wiley & Sons
[3] Bonham-Carter G.F. 1994: Geographic information systems forgeoscientists: modeling with GIS Pergamon Press, Ontario, Canada
[4] Nikravesh, Masoud, Lotfi Asker Zadeh, and Fred Aminzadeh, eds. Soft computing and intelligentdata analysis in oil exploration. Vol. 51. Elsevier, 2003.
[5] Bonham-Carter G.F. 1994: Geographic information systems for geoscientists: modeling with GIS, Pergamon Press, Ontario, Canada.
[6] Islam R., Abdullah N.A., Management decision-making by the analytic hierarchy process: a proposed modification for large-scale problems, Journal for International Business and Entrepreneurship Development, 2006, 3, 18-40
[7] Saaty T.L., The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, McGraw Hill International, New York, United States, 1980
[8] Saaty T.L., Axiomatic Foundations of the Analytic Hierarchy Process, Management Science, 1986, 32, 841-855
[9] Saaty T.L., Vargas L.G. Decision Making in Economic, Social and Technological Environāments, RWS Publications, Pittsburgh, United States, 2006
[10] Hopkins L 1977Methods for generating land suitability maps: a comparative evaluation. Journal for American Institute of Planners 34: 19±29
[11] Tomlin C D 1990 Geographical Information Systems and Cartographic Modeling. Englewood Cliffs, NJ, Prentice-Hall
[12] Carver S J 1991 Integrating multi-criteria evaluation with geographical information systems International Journal of Geographical Information Systems 5: 321±339 [13] Eastman J R, Kyem P A K, Toledano J, and Jin W 1993 GIS and Decision Making. Geneva UNITAR
[14] Heywood I, Oliver J and Tomlinson S 1995 Building an exploratory multi-criteria modeling environment for spatial decision support. In Fisher P (ed) Innovations in GIS 2. London, Taylor and Francis: 127±36
[15] Hopkins L 1977Methods for generating land suitability maps: a comparative evaluation. Journal for American Institute of Planners 34: 19±29
[16] Herzfeld U C and Merriam D F 1995 Optimization techniques for integrating spatial data Mathematical Geology 27: 559±86
[17] Lowry Jr. J H, Miller H J and Hepner G F 1995 A GIS-based sensitivity analysis of community vulnerability to hazardous contaminations on the Mexico/U.S. Border. Photogrammetric Engineering and Remote Sensing 61: 1347±59
[18] Berry J K 1993 Cartographic modeling: The analytical capabilities of GIS. In: GoodchildM, Parks B and Stewart L (eds) Environmental Modeling with GIS. Oxford, Oxford University Press: 58±74
[19] Hwang C-L and Yoon K 1981 Multiple Attribute Decision Making: Methods and Applications Berlin, Springer-Verlag [20] Massam B H 1988 Multi-criteria decision making (MCDM) techniques in planning. Progress in Planning 30: 1±84.
[21] Greenwood, W.R., R.E. Anderson, R.J. Fleck and R.J. Roberts 1980. Precambrian Geologic History and Plate Tectonic Evolution of the Arabian Shield. Saudi Arabian Directorate General Mineral Resources Bulletin 24, 35 p.
[22] Husseini, M.I. 1989. Tectonic and Deposition Model of Late Precambrian-Cambrian Arabian and Adjoining Plates. American Association of Petroleum Geologists Bulletin, no. 73, p. 1117-1131
[23] Beydoun, Z.R. 1991. Arabian Plate Hydrocarbon Geology and Potential - A Plate Tectonic Approach. American Association of Petroleum Geologists Studies in Geology No. 33, 77 p
[24] Seabourne, T.R. 1996. The Influence of the SabataynEvaporites on the Hydrocarbon Prospectivity of the Eastern Shabwa Basin, Onshore Yemen. Marine and Petroleum Geology, no. 13, p. 963-972
[25] Integrated geophysics corporation. “Footnotes on interpretation”. IGC Foodnotes series
[26] J. Brannan,G. Saota , Keith D. Gerdes, Jonathan A.L. Berry,1999. Geological Evolution of the Central Marib- Shabwa Basin, Yemen. GeoArabia, Vol. 4, No. 1, 1999 .Gulf PetroLink, Bahrain
[27] Ellis, A.C., H.M. Kerr, C.P. Cornwell and D.O. Williams 1996. A Tectono-Stratigraphic Framework for Yemen and Its Implications for Hydrocarbon Potential. Petroleum Geoscience, no. 2, p. 29-42
[28] GenliangGuo, Stephen A. George, 1999. An analysis of surface and subsurface lineaments andfractures for oil and gas exploration in the mid-continent region. Topical Report, PetroleumTechnologies, Inc. Tulsa, Oklahoma
[29] Tran Tuan Dung et al, 2006. Some features on fault tectonics from interpretation of gravity anomaliesin Vietnam southeast continental shelf. Vietnam Journal of Marine Science and Technology vol. 2, 124-133
[30] Saaty, T. (1977). A scaling method for priorities in hierarchicalstructures. Journal of Mathematical Psychology, 15, 234-281.
[31] Saaty, T. L., (1980), The Analytic Hierarchy Process, McGraw-Hill.
[32] Mustafa AA, Man S, Sahoo RN, Nayan A, Manoj K, Sarangi A, Mishra AK (2011Land suitability analysis for different crops. A multi criteria decision making approach using remote sensing and GIS. Indian Agricultural Research Institute, New Delhi-110 012.
[33] Saaty T L (2004), Fundamentals of the analytic networkprocess–multiple networks with benefits, costs opportunities and risks; J. Systems Science and SystemsEngineering 13(3) 348–379