Skip to main content

Advertisement

Log in

Knowledge-Driven Fuzzy AHP Model for Orogenic Gold Prospecting in a Typical Schist Belt Environment: A Mineral System Approach

  • Original Article
  • Published:
Earth Systems and Environment Aims and scope Submit manuscript

Abstract

In this paper, the knowledge-driven fuzzy AHP (FAHP) model was applied in the predictive prospectivity mapping of orogenic gold deposits using the mineral system approach. The main criteria of the mineral system of orogenic gold mineralization considered were heat source, gold/ligand source, structural control, and hydrothermal alteration. The proxies and alternatives of the main criteria of the mineral system of orogenic gold mineralization were derived from geological, geophysical, and remote sensing datasets. Assignment of weights using the FAHP model indicates that heat source with weight of 0.4318 has the highest contribution to orogenic gold mineralization in the study area. This was closely followed by gold/ligand source (0.3669), structural control (0.1659) and hydrothermal alteration (0.0355). The integration of these criteria using the multi-index overlay method produced the predictive mineral potential map (MPM) which was further classified into six classes (background, very low, low, moderate, high, and very high potentials) using the concentration area (C–A) fractal model. New major prospects of orogenic gold mineralization were delineated in the western and eastern flanks of the study area. The validation of the produced MPM using 10 geochemical sampling points via the prediction area (P–A) plot yielded 77% success rate indicating the model is suitable for predictive prospecting of orogenic gold mineralization. The study concluded that the mineral system approach should be adopted in further research in similar geologic environments for reliable potential mapping of any mineral deposits because it considers every “player” involved in mineralization.

Graphical Abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27

Similar content being viewed by others

Availability of Data and Materials

Data for this research project will be made available by the corresponding author upon request.

References

  • Abd El Nabi SH (2013) Role of γ–ray spectrometry in detecting potassic alteration associated with Um Ba’anib granitic gneiss and metasediments, G. Meatiq area, Central Eastern Desert Egypt. Arab J Geosci 6:1249–1261

    Article  CAS  Google Scholar 

  • Abedi M, Norouzi GH (2012) Integration of various geophysical data with geological and geochemical data to determine additional drilling for copper exploration. J Appl Geophys 83:35–45

    Article  Google Scholar 

  • Abedi M, Norouzi GH, Fathianpour N (2013) Fuzzy Outranking Approach: a knowledge-driven method for mineral prospectivity mapping. Int J Appl Earth Obs Geoinf 21:556–567

    Google Scholar 

  • Abedi M, Mohammadi R, Norouzi G, Mohammadi M (2016) A comprehensive VIKOR method for integration of various exploratory data in mineral potential mapping. Arab J Geosci 2016(9):1–21

    Google Scholar 

  • Abubakar YI (2012) An integrated technique in delineating structures: a case study of the Kushaka schist belt Northwestern Nigeria. Int J Appl Sci Technol 2(5):164–173

    MathSciNet  Google Scholar 

  • Ademeso OA, Adekoya JA, Adetunji A (2013) Further evidences of cataclasis in the Ife-Ilesha Schist Belt, Southwestern Nigeria. J Nat Sci Res 3(11):50–59

    Google Scholar 

  • Adeoti B, Okonkwo CT (2017) Structural evolution of Iwaraja shear zone, southwestern Nigeria. J Afr Earth Sci 131:117–127

    Article  Google Scholar 

  • Adesiyan TA, Adekoya JA (2008) Prospect of metallic mineralization in Gbongan Area of Southwestern, Nigeria. Ife J Sci 10(1):1–19

    Google Scholar 

  • Adiat KAN, Osifila AJ, Akinlalu AA, Alagbe OA (2018) Mining of geophysical data to predict groundwater prospect in a basement complex terrain of southwestern Nigeria. Int J Sci Technol Res 7(5):2277–8616

    Google Scholar 

  • Agangi A, Hofmann A, Eickmann B, Marin-Carbonne J, Reddy SM (2016) An atmospheric source of S in Mesoarchaean structurally-controlled gold mineralization of the Barberton Greenstone Belt. Precambr Res 285:10–20

    Article  CAS  Google Scholar 

  • Agterberg FP, Bonham-Carter GF (1999) Logistic regression and weights of evidence modeling in mineral exploration. In: Proceedings of the 28th international symposium on applications of computer in the mineral industry (APCOM), Golden, Colorado, pp. 483–490.

  • Airo ML (2002) Aeromagnetic and aeroradiometric responses to hydrothermal alteration. Surv Geophys 23:273–302

    Article  Google Scholar 

  • Airo ML (2007) Application of aerogeophysical data for gold exploration: implications for the central Lapland greenstone belt. Geol Surv Finl Spec Pap 44:187–208

    Google Scholar 

  • Airo ML, Mertanen S (2008) Magnetic signatures related to orogenic gold mineralization, Central Lapland Greenstone Belt, Finland. J Appl Geophys 64:14–24

    Article  Google Scholar 

  • Ajakaiye DE, Hall DH, Ashiekaa JA, Udensi EE (1991) Magnetic anomalies in the Nigerian continental mass based on aeromagnetic surveys. Tectonophysics 192(1):211–230

    Article  Google Scholar 

  • Akande SO, Fakorede O (1988) Gold mineralization in the Nigerian Schist Belts, vol. 88. Bicentennial Gold, Melbourne, pp. 140–142.

  • Akanmu T, Oshin OO, Ayodele OS (2019) Mineralogical characterization of the gold-bearing rocks around okemesi-ijero area, Southwestern Nigeria. Glob Sci J (GSJ) 7(1):34–78

    Google Scholar 

  • Akinlalu AA, Adelusi AO, Mamukuyomi EA, Akeredolu BE (2016) Ground magnetic and 2-D resistivity mapping of basement structures around Iwaraja area southwestern Nigeria. J Basic Appl Res Int 18(4):206–221

    Google Scholar 

  • Akinlalu AA, Adegbuyiro A, Adiat KAN, Akeredolu BE, Lateef WY (2017) Application of multi-criteria decision analysis in prediction of groundwater resources potential: a case of Oke-Ana, Ilesa Area, Southwestern Nigeria. NRIAG J Astron Geophys 6:182–200

    Article  Google Scholar 

  • Akinlalu AA, Adelusi AO, Olayanju GM, Adaiat KAN, Omosuyi GO (2018) Aeromagnetic mapping of basement structures and mineralization characterization of Ilesa Schist Belt Southwestern Nigeria. J Afr Earth Sci 138:383–391

    Article  Google Scholar 

  • Akinlalu AA, Olayanju GM, Adiat KAN, Omosuyi GO (2021) Mineralization potential assessment using analytical hierarchy process (AHP) modeling technique: a case study of Ilesha schist belt, southwestern Nigeria. Result Geophys Sci 7:1–18

    Google Scholar 

  • Akintola AI, Olorunfemi AO, Bankole SI, Omotoye SJ, Ajayi BO (2013) Petrography and geochemical evaluation of major and trace element concentrations in stream sediments of Itagunmodi and its environs, Southwestern Nigeria. J Earth Sci Geotech Eng 3(4):1–24

    Google Scholar 

  • Albayrak E, Erensal Y (2004) Using analytic hierarchy process (AHP) to improve human performance: an application of multiple criteria decision making problem. J Intell Manuf 15:491–503

    Article  Google Scholar 

  • Ali A, Pour A (2014) Lithological mapping and hydrothermal alteration using Landsat 8 data: a case study in ariab mining district, red sea hills, Sudan. Int J Basic Appl Sci. https://doi.org/10.14419/ijbas.v3i3.2821

    Article  Google Scholar 

  • Almasi A, Jafarirad A, Afzal P, Rahimi M (2015) Orogenic gold prospectivity mapping using geospatial data integration, Region of Saquez, NW of Iran. Bull Miner Res Explor 150:65–76

    Google Scholar 

  • Almasi A, Yousefi M, Carranza EM (2017) Potential analysis of orogenic gold deposits in Saqez-Sardasht, Goldfield Zagros Orogen, Iran. Ore Geol Rev. https://doi.org/10.1016/j.oregeorev.2017.11.001

    Article  Google Scholar 

  • Amigun JO, Sanusi SO, Audu L (2022) Geophysical characterisation of rare earth element and gemstone mineralisation in the Ijero-Aramoko pegmatite field, southwestern Nigeria. J Afr Earth Sci 188:104494. https://doi.org/10.1016/j.jafrearsci.2022.104494

    Article  CAS  Google Scholar 

  • An P, Moon WM, Rencz AN (1991) Application of fuzzy theory for integration of geological, geophysical and remotely sensed data. Can J Explor Geophys 27:1–11

    Google Scholar 

  • Andongma WT, Gajere JN, Amuda AK, Edmond RRD, Faisal M, Yusuf YD (2021) Mapping of hydrothermal alterations related to gold mineralization within parts of the Malumfashi Schist Belt, North-Western Nigeria. Egypt J Remote Sens Space Sci 65(3):1–17

    Google Scholar 

  • Anifowose AYB, Borode AM (2007) A photogeological study of the fold structure in Okemesi area, Nigeria. J Min Geol 43(2):125–130

    Google Scholar 

  • Augustin J, Gaboury D (2019) Multi-stage and multisourced fluid and gold in the formation of orogenic gold deposits in the world-class Mana district of Burkina Faso—Revealed by LA-ICP-MS analysis of pyrites and arsenopyrites. Ore Geol Rev 104:495–521

    Article  Google Scholar 

  • Awoyemi MO, Hammed OS, Falade SC, Arogundade AB, Ajama OD, Iwalehin PO (2017) Geophysical investigation of the possible extension of Ifewara fault zone beyond Ilesa area, southwestern Nigeria, Arab. J Geosci. https://doi.org/10.1007/s12517-016-2813-z

    Article  Google Scholar 

  • Bai H, Cao Y, Zhang H, Zhang C, Hou S, Wang W (2021) Combining fuzzy analytic hierarchy process with concentration–area fractal for mineral prospectivity mapping: a case study involving Qinling orogenic belt in central China. Appl Geochem 126:104894. https://doi.org/10.1016/j.apgeochem.2021.104894

    Article  CAS  Google Scholar 

  • Bayode S, Adeboye JO, Sanusi SO, Akinlalu AA (2023) Orogenic gold mineralization targeting of alagbede goldfield southwestern Nigeria using an integrated geophysical approach. Min Metall Explor 40(3):955–983. https://doi.org/10.1007/s42461-023-00763-9

    Article  Google Scholar 

  • Behera S, Panigrahi MK, Pradhan A (2019) Identification of geochemical anomaly and gold potential mapping in the Sonakhan Greenstone belt, Central India: an integrated concentration-area fractal and fuzzy-AHP approach. Appl Geochem 107:45–57

    Article  CAS  Google Scholar 

  • Boadi B, Raju PVS, Wegemah DD (2022) Analysing multi-index overlay and fuzzy logic models for lode–gold prospectivity mapping in the Ahafo gold district–Southwestern Ghana. Ore Geol Rev 148(105059):1–19

    Google Scholar 

  • Bonham-Carter GF, Agterberg FP, Wright DF (1989) Weights-of-evidence modelling: a new approach to mapping mineral potential. In: Agterberg, FP, Bonham-Carter GF (Eds) Statistical applications in the earth sciences. Geological Survey of Canada, pp. 171–183, paper 89–99.

  • Carranza EJM (2008) Geochemical anomaly and mineral prospectivity mapping in GIS. Handbook of exploration and environmental geochemistry, vol 11. Elsevier, Amsterdam, p 351

    Google Scholar 

  • Carranza EJM (2010) Improved wildcat modelling of mineral prospectivity. Resour Geol 60:129–149

    Article  CAS  Google Scholar 

  • Carranza EJM (2014) Data-driven evidential belief modeling of mineral potential using few prospects and evidence with missing values. Nat Resour Res. https://doi.org/10.1007/s11053-014-9250-z

    Article  Google Scholar 

  • Carranza EJM, Hale M (2002) Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines. Ore Geol Rev 22:117–132

    Article  Google Scholar 

  • Chang DY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95:649–655

    Article  Google Scholar 

  • Chattoraj SL, Prasad G, Sharma RU, Champati Ray PK, van der Meer FD (2020) Integration of remote sensing, gravity and geochemical data for exploration of Cu-mineralization in Alwar Basin, Rajasthan, India. Int J Appl Earth Obs Geo Inf 91:102–162

    Google Scholar 

  • Chen Z, Chen J, Tian S (2018) Application of the content– area (C– A) fractal model and prediction– area (P– A) plot for mineral prospectivity modeling in the Luchun area of Yunnan Province, China. Arab J Geosci 11(206):1–14

    Google Scholar 

  • Cheng Q (1995) The perimeter-area fractal model and its application to geology. Math Geol 27(1):69–82

    Article  Google Scholar 

  • Cheng Q, Agterberg FP, Ballantyne SB (1994) The separation of geochemical anomalies from background by fractal methods. J Geochem Explor 51:109–130

    Article  CAS  Google Scholar 

  • Cunha LO, Dutra AC, Costa AB (2017) Use of radiogenic heat for demarcation of hydrothermal alteration zones in the Pernambuco-Brazil. J Appl Geophys 145:111–123. https://doi.org/10.1016/j.jappgeo.2017.08.004

    Article  Google Scholar 

  • Davis JC (2002) Statistics and data analyses in geology. Wiley, New York

    Google Scholar 

  • de Quadros TP, Koppe JC, Strieder AJ, Costa JL (2003) Gamma-ray data processing and integration for lodeAu deposits exploration. Nat Resour Res 12(1):57–65

    Article  Google Scholar 

  • Du X, Zhou K, Cui Y, Wang J, Zhang N, Sun W (2016) Application of fuzzy analytical hierarchy process (FAHP) and prediction-area (pa) plot for mineral prospectivity mapping: a case study from the dananhu metallogenic belt, Xinjiang, nw China. Arab J Geosci 9(4):298

    Article  Google Scholar 

  • Dufrechou G, Harris LB, Corriveau L, Antonoff V (2015) Regional and local controls on mineralization and pluton emplacement in the Bondy gneiss complex, Grenville Province, Canada interpreted from aeromagnetic and gravity data. J Appl Geophys 116:192–205

    Article  Google Scholar 

  • Efimov AV (1978) Multiplikativnyj pokazatel dlja vydelenija endogennych rud po aerogammaspektrometriceskim dannym, In Metody Rudnoj Geofiziki, edited by Naucno-proizvodstven Ojeobjedinenie "Geofizika" Leningrad

  • Eleraki M, Ghieth B, Abd-El Rahman N, Zamzam S (2017) Hydrothermal zones detection using airborne magnetic and gamma ray spectrometric data of mafic/ultramafic rocks at Gabal El–Rubshi area, Central Eastern Desert (CED), Egypt. Adv Nat Appl Sci 11(9):182–196

    CAS  Google Scholar 

  • El-Sadek MA (2009) Radiospectrometric and magnetic signatures of a gold mine in Egypt. J Appl Geophys 67:34–43

    Article  Google Scholar 

  • Feizi F, KarbalaeiRamezanali A, Mansouri E (2017) Calcic iron skarn prospectivity mapping based on fuzzy AHP method, a case study in varan area, Markazi province, Iran. Geosci J 21(1):123–136

    Article  CAS  Google Scholar 

  • Ford A, Peters KJ, Partington GA, Blevin PL, Downes PM, Fitzherbert JA (2019) Translating expressions of intrusion-related mineral systems into mappable spatial proxies for mineral potential mapping: Case studies from the Southern New England Orogen Australia. Ore Geol Rev. https://doi.org/10.1016/j.oregeorev.2019.102943

    Article  Google Scholar 

  • Forson ED, Menyeh A, Wemegah DD, Danuor SK, Adjovu I, Appiah I (2020) Mesothermal gold prospectivity mapping of the southern Kibi-Winneba belt of Ghana based on Fuzzy analytical hierarchy process, concentration area (C-A) fractal model and prediction-area (P-A) plot. J Appl Geophys 174:1–12

    Article  Google Scholar 

  • Forson ED, Wemegah DD, Hagan GB, Appiah D, Addo-Wuver F, Adjovu I, Otchere FO, Mateso S, Menyeh A, Amponsah T (2022) Data–driven multi-index overlay gold prospectivity mapping using geophysical and remote sensing datasets. J Afr Earth Sci 190:1–13

    Article  Google Scholar 

  • Fraser GL, Huston DL, Gibson GM, Neumann NL, Maidmant D, Kositcin N, Skirrow RG, Jaireth S, Lyons P, Carson C, Cutten H, Lambeck A (2007) Geodynamic and metallogenic evolution of proterozoic Australia from 1870–1550 Ma: a discussion. Technical report submitted to the department of Industry, tourism and resources of Australia. PP. 1–83.

  • Gaafar I (2015) Integration of geophysical and geological data for delimitation of mineralized zones in Um Naggat Area, Central Eastern Desert, Egypt. NRIAG J Astron Geophys 4:86–99

    Article  Google Scholar 

  • Gaboury D (2019) Parameters for the formation of orogenic gold deposits. Appl Earth Sci. https://doi.org/10.1080/25726838.2019.1583310

    Article  Google Scholar 

  • Gabr S, Ghulam A, Kusky T (2010) Detecting areas of high-potential gold mineralization using ASTER data. Ore Geol Rev 38:59–69

    Article  Google Scholar 

  • Gabr SS, Hassan SM, Sadek MF (2015) Prospecting for new gold–bearing alteration zones at El–Hoteib area, south eastern desert, Egypt, using remote sensing data analysis. Ore Geol Rev 71:1–13. https://doi.org/10.1016/j.oregeorev.2015.04.021

    Article  Google Scholar 

  • Garba I (1985) The geology and stream sediment prospecting for gold, Sheet 225, Isanlu, Kwara State. Unpublished M.Sc. Thesis, Ahmadu Bello University, Zaria

  • Garba I (1988) The variety and possible origin of the Nigerian gold mineralization Okolom-Dogonadji and Waya veins as case studies. J Afr E Sci 17(7/8):981–986

    Article  Google Scholar 

  • Garba I (2002) Geochemical characteristics of the gold mineralization near Tsohon Birnin Gwari, Northwestern Nigeria. Chem Erde 62:160–170

    Article  CAS  Google Scholar 

  • Garba I (2003) Geochemical characteristics of mesothermal gold mineralization in the Pan-African (600 ± 150 Ma) basement of Nigeria. Appl Earth Sci (trans Inst Min Metall). https://doi.org/10.1179/037174503225003143

    Article  Google Scholar 

  • Garba I, Akande SO (1992) The origin and significance of non–aqueous CO2 fluid inclusions in the auriferous veins of Bin Yauri, Northwestern Nigeria. Mineral Deposita 27:249–255

    Article  CAS  Google Scholar 

  • Geosoft (2005) Quick start tutorial and user guide applications (electronic version); Oasis Montaj data processing and analysis (DPA) system for earth science applications (Version 5.1.4): Euro Technologies.

  • Gibson HL, Allen RL, Riverin G, Lane TE (2007) The VMS model: advances and application to exploration targeting. Proc Explor 7:713–730

    Google Scholar 

  • Grant NK (1978) Structural distinction between a metasedimentary cover and an underlying basement in the 600 my old Pan-African domain of Northwestern Nigeria. Geol Soc Am Bull 89:50–58

    Article  CAS  Google Scholar 

  • Grant NK, Hickman MH, Burkholder FR, Powell JL (1972) Kibaran metamorphic belt in Pan-African domain of West Africa. Nature 238:90–91

    Google Scholar 

  • Grasty RL, Shives RBK (1997) Applications of gamma ray spectrometry to mineral exploration and geological mapping, workshop presented at exploration 97: fourth decennial conference on mineral exploration

  • Harris J, Grunsky EC, Behnia P, Corrigan D (2015) Data and knowledge driven mineral prospectivity maps for Canada’s North. Ore Geol Rev 71:788–803

    Article  Google Scholar 

  • Herbert S, Woldai T, Carranza EM, Van Ruitenbeek FA (2014) Predictive mapping of potential for orogenic gold in Uganda. J Afr Earth Sc 99:666–693

    Article  CAS  Google Scholar 

  • Herrington, R. (2011). Geological features and genetic models of mineral deposits. USGS Bulletic. 1784.

  • Iwasaki A, Tonooka H (2005) Validation of a crosstalk correction algorithm for ASTER/SWIR. IEEE Trans Geosci Remote Sens 43(12):2747–2751. https://doi.org/10.1109/TGRS.2005.855066

    Article  Google Scholar 

  • Joly A, Porwal A, McCuaig TC (2012) Exploration targeting for orogenic gold deposits in the Granites-Tanami Orogen: Mineral system analysis, targeting model and potential analysis. Ore Geol Rev 48:349–383

    Article  Google Scholar 

  • Kabir G, Hasin MAA (2011) Comparative analysis of AHP and fuzzy-AHP models for multicriteria inventory classifiation. Int J Fuzzy Logic Syst 1(1):1–16

    Google Scholar 

  • Karimi AR, Mehrdadi N, Hashemian SJ, Nabi-Bidhendi GR, Tavakkoli-Moghaddam R (2011) Using of the fuzzy TOPSIS and fuzzy AHP methods for wastewater treatment process selection. Int Acad Res 3:780–786

    Google Scholar 

  • Kearey P, Brooks M (1991) An Introduction to geophysical exploration, 2nd edn. Blackwell Scientific, Oxford, p 201

    Google Scholar 

  • Khajehmiri Z, Shayestehfar MR, Moeinzadeh H (2016) Fuzzy analytical hierarchal process and gis for predictive Cu – Au porphyry in Mokhtarn 1: 100000 sheet, southern Khorasan, east of Iran. J Fundamental & Appl Sci 8(3S):478–500

    Article  Google Scholar 

  • Klynveld Peat Marwick Goerdeler KPMG (2017). Third edition of Nigeria Mining Sector Brief. 1–32.

  • Legault MI, Charbonneau BW (1993) Geophysical, geochemical and petrological study of Contwoyto Batholith, Lupin gold mine area, Northwest Territories. In Current Research Part E, Geological Survey of Canada, Paper 93-1E, 207-218.

  • Lewis P, Downes PM (2008) Mineral systems and processes in New South Wales: a project to enhance understanding and assist exploration. Q Geol Surv New South Wales 128:1–17

    Google Scholar 

  • Maden N, Akaryali E (2015) Gamma ray spectrometry for recognition of hydrothermal alteration zones related to a low sulfidation epithermal gold mineralization (eastern pontides, NE Turkey). J Appl Geophys 122:74–85

    Article  Google Scholar 

  • Mamouch Y, Attou A, Miftah A, Ouchchen M, Dadi B, Achkouch L, ET-tayea Y, Allaoui A, Boualoul M, Randazzo M, Lanza S, Muzirafuti A (2022) Mapping of hydrothermal alteration zones in the Kelaat MGouna region using airborne gamma–ray spectrometry and remote sensing data: mining implications (Eastern Anti-Atlas, Morocco). Appl Sci 12:957. https://doi.org/10.3390/app12030957

    Article  CAS  Google Scholar 

  • Mandelbrot BB (1977) Fractals: form, chance, and dimension. Freeman, San Francisco

    Google Scholar 

  • Mandelbrot BB (1983) The fractal geometry of nature, updated and augmented. Freeman, New York

    Google Scholar 

  • Mars JC, Rowan LC (2011) ASTER spectral analysis and lithologic mapping of the Khanneshin carbonatite volcano, Afghanistan. Geosphere 7:276–289

    Article  Google Scholar 

  • McCuaig TC, Hronsky JMA (2014) The mineral system concept: the key to exploration targeting. App Ear Sci Imm Trans 18:153–175

    Google Scholar 

  • McCuaig TC, Beresford S, Hronsky J (2010) Translating the mineral systems approach into an effective targeting system. Ore Geol Rev 38:128–138

    Article  Google Scholar 

  • McCurry P (1976) The geology of the Precambrian to lower palaeozoic rocks of Northern Nigeria–A Review. In: Kogbe CA (ed) Geology of Nigeria. Elizabethan Publishers, Lagos, pp 15–39

    Google Scholar 

  • Mihalasky MJ, Bonham-Carter GF (2001) Lithodiversity and its spatial association with metallic mineral sites, Great Basin of Nevada. Nat Resour Res 10:209–226

    Article  CAS  Google Scholar 

  • Najafi A, Karimpour MH, Ghaderi M (2014) Application of fuzzy AHP method to IOCG prospectivity mapping: A case study in Taherabad prospecting area, eastern Iran. Inter J Appl Earth Obs Geoinf 33:142–154

    Google Scholar 

  • Ndousa-Mbarga T, Fenmoue AS, Manguelle-Dicoum E, Fairhead JD (2012) Aeromagnetic data interpretation to locate buried faults in south-east Cameroon. Geophysica 48(1–2):49–63

    Google Scholar 

  • Nigerian Geological Survey Agency, (2006). Geological mapping of Ife–Ilesa (Sheet) Area.

  • Nigerian Geological Survey Agency. (2009). Airborne geophysical survey residual magnetic intensity map of Abuja (sheet 186) area.

  • Obaje NG (2009) Geology and mineral resources of Nigeria. Springer, London, Dordrecht, p 222p

    Book  Google Scholar 

  • Odeyemi IB (1981) A review of the orogenic events in the basement complex of Nigeria, West Africa. Geol Rundsch 70(3):897–909

    Article  Google Scholar 

  • Odeyemi IB (1993) A Comparative study of remote sensing images of the structure of Okemesi Fold Belt. Nigeria ITC J 1:77–81

    Google Scholar 

  • Oke SA, Abimbola AF, Rammlmair D (2014) Mineralogical and geochemical characterization of gold bearing quartz veins and soils in parts of Maru Schist belt area Northwestern Nigeria. J Geol Res. https://doi.org/10.1155/2014/314214

    Article  Google Scholar 

  • Okonkwo CT, Adetunji A, Folorunso IO (2014) Microstructural and mineralogical evolution of the Oke awon shear zone in the jebba area, southwestern Nigeria. Pac J Sci Technol 15:335–344

    Google Scholar 

  • Olade MA, Elueze AA (1979) Petrochemistry of the Ilesha amphibolite and Precambrian crustal evolution in the Pan-African domain of SW Nigeria. Precambrian Res 8:303–318

    Article  CAS  Google Scholar 

  • Olajide-Kayode JO, Mustapha SO, Olatunji AS, Okunlola OA (2020) Assessment of gold mineralization in Osu–Amuta–Itagunmodi areas, Southwestern Nigeria. Arab J Geosci 13(573):1–19. https://doi.org/10.1007/s12517-020-05619-w

    Article  CAS  Google Scholar 

  • Osinowo OO, Gomy A, Isseini M (2021) Mapping hydrothermal alteration mineral deposits from Landsat 8 satellite data in Pala, Mayo Kebbi Region, Southwestern Chad. Sci Afr 11:1–14

    Google Scholar 

  • Oyawoye MO (1972) The basement complex of Nigeria. In: Dessauvagie TFJ, Whiteman AJ (eds) African geology. Ibadan University Press, Cham, pp 66–102

    Google Scholar 

  • Oyeniyi TO, Salami AA, Ojo SB (2016) Magnetic surveying as an aid to geological mapping: a case study from Obafemi Awolowo University campus in Ile-Ife, southwest Nigeria. IFE J Sci 18(2):331–343

    Google Scholar 

  • Pan G, Harris D (2000) Information synthesis for mineral exploration. Oxford University Press, New York, NY, USA

    Google Scholar 

  • Parsa M, Maghsoudi A, Yousefi M, Sadeghi M (2016) Multifractal analysis of drainage sediment geochemical data: implications for hydrothermal nickel prospection in an arid terrain, eastern Iran. J Geochem Explor. https://doi.org/10.1016/j.gexplo.2016.11.013

    Article  Google Scholar 

  • Pazand K, Hezarkhani A, Ghanbari Y (2014) Fuzzy analytical hierarchy process and GIS for predictive Cu porphyry potential mapping: a case study in Ahar-Arasbaran Zone (NW, Iran). Arab J Geosci 7:241–251

    Article  CAS  Google Scholar 

  • Phillips GN, Powell R (2010) Formation of gold deposits: a metamorphic devolatilization model. J Metamorph Geol 28:689–718

    Article  CAS  Google Scholar 

  • Pirajno F (1992) Hydrothermal mineral deposits, principles and fundamental concepts for the exploration geologists. Springer, Berlin

    Book  Google Scholar 

  • Pires AB (1995) Identfcacao Geofsica de areas de alteracao hidrotermal, Crixas-Guarinos. Goias Rev Bras Geoci 25(1):61–68

    Article  Google Scholar 

  • Porwal A, Carranza EJM, Hale M (2006) Bayesian network classifiers for mineral potential mapping. Comput Geosci 32:1–16

    Article  Google Scholar 

  • Pour AB, Hashim M (2012) The application of ASTER remote sensing data to porphyry copper and epithermal gold deposits. Ore Geol Rev 44:1–9. https://doi.org/10.1016/j.oregeorev.2011.09.009

    Article  Google Scholar 

  • Pour AB, Park Y, Park TYS, Hong JK, Hashim M, Woo J, Ayoobi I (2018) Regional geology mapping using satellite-based remote sensing approach in Northern Victoria Land, Antarctica. Polar Sci 16:23–46

    Article  Google Scholar 

  • Rahaman MA (1988) Recent advances in the study of the basement complex of Nigeria. In: Geological Survey of Nigeria (ed) Precambrian Geol Nigeria, pp 11–43.

  • Rahimi H, Abedi M, Yousefi M, Bahroudi A, Elyasi GR (2021) Supervised mineral exploration targeting and the challenges with the selection of deposit and non-deposit sites thereof. Appl Geochem 128:104940. https://doi.org/10.1016/j.apgeochem.2021.104940

    Article  CAS  Google Scholar 

  • Ramezanali A, Mansouri E, Feizi F (2017) Integration of aeromagnetic geophysical data with other exploration data layers based on fuzzy AHP and C-A fractal model for Cu porphyry potential mapping: a case study in the fordo area, Central Iran. Boll Geo Fis Teor Appl 58(1):55–73

    Google Scholar 

  • Ranjbar H, Masoumi F, Carranza EJM (2011) Evaluation of geophysics and spaceborne multispectral data for alteration mapping in the Sar Cheshmeh mining area. Iran. Int J Remote Sens 32(12):3309–3327. https://doi.org/10.1080/01431161003745665

    Article  Google Scholar 

  • Riahi S, Bahroudi A, Abedi M, Aslani S, Lentz DR (2021) Evidential data integration to produce porphyry Cu prospectivity map, using a combination of knowledge and data–driven methods. Geophys Prospect. https://doi.org/10.1111/1365-2478.13169

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New York, p 281

    Google Scholar 

  • Safari M, Maghsoudi A, Pour AB (2018) Application of Landsat-8 and ASTER satellite remote sensing data for porphyry copper exploration: a case study from Shahr-e-Babak, Kerman, south of Iran. Geocarto Int 33:1186–1201

    Article  Google Scholar 

  • Salawu NB (2021) Aeromagnetic and digital elevation model constraints on the structural framework of southern margin of the Middle Niger Basin. Nigeria. Sci Rep 11(1):21646. https://doi.org/10.1038/s41598-021-00829-y

    Article  CAS  Google Scholar 

  • Salawu NB, Fatoba JO, Adebiyi LS, Orosun MM, Dada SS (2021) New insights on the Ife-Ilesa schist belt using integrated satellite, aeromagnetic and radiometric data. Sci Rep 11:15314

    Article  CAS  PubMed Central  Google Scholar 

  • Sanusi SO, Amigun JO (2020a) Logistic-based translation of orogenic gold forming processes into mappable exploration criteria for fuzzy logic mineral exploration targeting in the Kushaka schist belt, North-central Nigeria. Nat Resour Res 29:3505–3526. https://doi.org/10.1007/s11053-020-09689-1

    Article  CAS  Google Scholar 

  • Sanusi SO, Amigun JO (2020b) Structural and hydrothermal alteration mapping related to orogenic gold mineralization in part of Kushaka schist belt, North-central Nigeria, using airborne magnetic and gamma-ray spectrometry data. SN Appl Sci. https://doi.org/10.1007/s42452-020-03435-1

    Article  Google Scholar 

  • Saunders DF, Terry SA, Thompson CK (1987) Test of national uranium resource evaluation gamma-ray spectral data in petroleum reconnaissance. Geophysics 52(11):1547–1556

    Article  Google Scholar 

  • Selvaraja V, Caruso S, Fiorentini ML, LaFlamme CK, Bui TH (2017) Atmospheric sulfur in the orogenic gold deposits of the Archaean Yilgarn Craton, Australia. Geology 45:691–694

    Google Scholar 

  • Sheikhrahimi A, Pour AB, Pradhan B, Zoheir B (2019) Mapping hydrothermal alteration zones and lineaments associated with orogenic gold mineralization using ASTER data: a case study from the Sanandaj-Sirjan Zone. Iran Adv Sp Res 63:3315–3332

    Article  CAS  Google Scholar 

  • Shives RK, Charbonneau BW, Ford KL (1997) The detection of potassic alteration by gamma-ray spectrometry: Recognition of alteration related to mineralization. In A. G. Gubins (Eds), Proceedings of exploration 97: Fourth decennial international conference on mineral exploration. Toronto, Canada. pp. 741– 752

  • Sillitoe RH (2010) Porphyry copper systems. Econ Geol 105:3–41

    Article  CAS  Google Scholar 

  • Sun T, Li H, Wu K, Chen F, Zhu Z, Hu Z (2020) Data-driven predictive modelling of mineral prospectivity using machine learning and deep learning methods: a case study from Southern Jiangxi Province China. Minerals 10:102. https://doi.org/10.3390/min10020102

    Article  CAS  Google Scholar 

  • Tawey MD, Adetona AA, Alhassan UD, Rafiu AA, Salako KA, Udensi EE (2021) Aeroradiometric data assessment of hydrothermal alteration zones in parts of Northcentral Nigeria. AJOGER 4(2):1–16

    Google Scholar 

  • Telford WM, Geldart LP, Sheriff RE (1990) Applied geophysics, 2nd edn. Cambridge University Press, Cambridge U.K., p 770

    Book  Google Scholar 

  • Tomkins AG (2010) Windows of metamorphic sulfur liberation in the crust: implications for gold deposit genesis. Geochim Cosmochim Acta 74:3246–3259. https://doi.org/10.1016/j.gca.2010.03.003

    Article  CAS  Google Scholar 

  • Van Laarhoven PJM, Pedrycz W (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst 11(1–3):229–241

    Article  MathSciNet  Google Scholar 

  • Wegemah DD, Preko K, Noye RM, Boradi B, Menyeh A, Danuor SK, Amenyoh T (2015) Geophysical interpretation of possible gold mineralization zones in Kyerano, southwestern Ghana using aeromagnetic and radiometric datasets. J Geosci Environ Prot 3:67–82

    Google Scholar 

  • Woakes M, Rahaman MA, Ajibade AC (1987) Some metallogenetic features of the Nigerian basement. J Afr Earth Sci 6:54–64

    Google Scholar 

  • Wu J, Huang H, Cao Q (2013) Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems. Appl Math Modell 37:9898–9909

    Article  MathSciNet  Google Scholar 

  • Wyborn LI, Heinrich CA, Jaques AL (1994) Australian proterozoic mineral systems: essential ingredients and mappable criteria (pp. 109–116). Darwin, Australia: Proceedings of the Australasian institute of mining and metallurgy annual conference

  • Yousefi M, Carranza EJM (2015) Geometric average of spatial evidence data layers: a GIS-based multi-criteria decision-making approach to mineral prospectivity mapping. Comput Geosci 83:72–79

    Article  Google Scholar 

  • Yousefi M, Carranza EJM (2016) Data – driven index overlay and Boolean logic mineral prospectivity modeling in green fields exploration. Nat Reso 25:3–18

    Article  CAS  Google Scholar 

  • Yousefi M, Kreuzer OP, Nykänen V, Hronsky JMA (2019) Exploration information systems—a proposal for the future use of GIS in mineral exploration targeting. Ore Geol Rev 111:103005. https://doi.org/10.1016/j.oregeorev.2019.10

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  Google Scholar 

  • Zoheir B, Emam A (2012) Integrating geologic and satellite imagery data for high resolution mapping and gold exploration targets in the South Eastern Desert. Egypt J Afr Earth Sci 66–67:22–34

    Article  Google Scholar 

  • Zuo R, Carranza EJM (2011) Support vector machine: a tool for mapping mineral prospectivity. Comput Geosci 37:1967–1975

    Article  CAS  Google Scholar 

  • Zuo R, Wang J (2016) Fractal/multifractal modeling of geochemical data: a review. J Geochem Explor 164:33–41

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge Messrs Akeredolu B.E. and Adebayo S. for their inputs especially in the processing and analysis of the remote sensing dataset.

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this paper.

Author information

Authors and Affiliations

Authors

Contributions

The conceptualization and design of this study were done by [Akinlalu, AA] and [Sanusi SO]. Data analysis was performed by [Afolabi, DO]. The first draft of this manuscript was written by [Afolabi, DO] and [Akinlalu, AA]. The review and editing of the first draft of the manuscript were performed by [Akinlalu, AA] and [Sanusi SO]. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Sherif Olumide Sanusi.

Ethics declarations

Conflict of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Akinlalu, A.A., Afolabi, D.O. & Sanusi, S.O. Knowledge-Driven Fuzzy AHP Model for Orogenic Gold Prospecting in a Typical Schist Belt Environment: A Mineral System Approach. Earth Syst Environ (2024). https://doi.org/10.1007/s41748-024-00382-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s41748-024-00382-4

Keywords

Navigation