Research article

Density investigation and implications for exploring iron-ore deposits using gravity method in the Hamersley Province, Western Australia

  • Received: 14 November 2022 Revised: 22 November 2022 Accepted: 28 November 2022 Published: 05 December 2022
  • The Hamersley Province in the northwest of Western Australia contains extensive banded iron formations (BIFs) and large hematite-goethite deposits. Density information of rocks and ores in this region has been scarce. This study reports the results of a systematic density investigations based on more than eight hundred density datasets in the province. This study not only provides a better understanding of density distribution of the rocks and ores in the province, but also allows forward gravity modeling over the known iron-ore deposits to be conducted for exploring the usefulness and effectiveness of gravity surveys for detecting concealed iron-ore deposits in the region. This should have a significant impact on iron-ore mining in the province as the outcropped ores have been mined for over 40 years in the province and the future targets are likely the concealed deposits below the surface. The analysis shows a clear density contrast around 1.0 g/cm3 between the Brockman iron ores and the host BIFs, which should generate clear positive net gravity anomalies over buried large iron-ore deposits. However, porous goethite ores hosted in the Marra Mamba BIFs have an average density of about 2.8 g/cm3 due to porosity about 30–40% in the ores. A density contrast of −0.5 g/cm3 may exist between the goethite ores and BIFs, which would produce net negative gravity anomalies over the deposits. Since most goethite deposits are layered consistently with the host rocks and associated with broad folds, the net gravity anomaly of an orebody itself may generally have the similar shape to the corresponding BIF bedrock. This implies that gravity surveys may be able to detect paleochannels which host the goethite ores, rather than directly detecting the orebody.

    Citation: William Guo. Density investigation and implications for exploring iron-ore deposits using gravity method in the Hamersley Province, Western Australia[J]. AIMS Geosciences, 2023, 9(1): 34-48. doi: 10.3934/geosci.2023003

    Related Papers:

  • The Hamersley Province in the northwest of Western Australia contains extensive banded iron formations (BIFs) and large hematite-goethite deposits. Density information of rocks and ores in this region has been scarce. This study reports the results of a systematic density investigations based on more than eight hundred density datasets in the province. This study not only provides a better understanding of density distribution of the rocks and ores in the province, but also allows forward gravity modeling over the known iron-ore deposits to be conducted for exploring the usefulness and effectiveness of gravity surveys for detecting concealed iron-ore deposits in the region. This should have a significant impact on iron-ore mining in the province as the outcropped ores have been mined for over 40 years in the province and the future targets are likely the concealed deposits below the surface. The analysis shows a clear density contrast around 1.0 g/cm3 between the Brockman iron ores and the host BIFs, which should generate clear positive net gravity anomalies over buried large iron-ore deposits. However, porous goethite ores hosted in the Marra Mamba BIFs have an average density of about 2.8 g/cm3 due to porosity about 30–40% in the ores. A density contrast of −0.5 g/cm3 may exist between the goethite ores and BIFs, which would produce net negative gravity anomalies over the deposits. Since most goethite deposits are layered consistently with the host rocks and associated with broad folds, the net gravity anomaly of an orebody itself may generally have the similar shape to the corresponding BIF bedrock. This implies that gravity surveys may be able to detect paleochannels which host the goethite ores, rather than directly detecting the orebody.



    加载中


    [1] Trendall AF (1983) The Hamersley Basin, In: Trendall A.F. and Morris R.C. Eds., Iron—formation: facts and problems, Elsevier, 69–129.
    [2] Guo WW (1999) Magnetic petrophysics and density investigations of the Hamersley Province, Western Australia: implications for magnetic and gravity interpretation, Australia, The University of Western Australia.
    [3] Li ZX, Guo W, Powell CMA (2000) Timing and genesis of Hamersley BIF-hosted iron deposits: a new palaeomagnetic interpretation. Perth, Australia, Minerals & Energy Research Institute of Western Australia.
    [4] Bodycoat FM (2010) Stratigraphic and structural setting of iron mineralization at E Deposit (East), Area C, Hamersley Province, Western Australia. Appl Earth Sci 119: 49–55. https://doi.org/10.1179/037174510X12853354810543 doi: 10.1179/037174510X12853354810543
    [5] Geological Survey of Western Australia, Fortescue–Hamersley: Extended abstracts. Perth Australia: Geological Survey of Western Australia, 2022. Available from: https://dmpbookshop.eruditetechnologies.com.au/product/fortescuehamersley-2022-extended-abstracts.do.
    [6] Perring CS, Hronsky JMA, Crowe M (2022) Phanerozoic history of the Pilbara region: implications for iron mineralization. Aust J Earth Sci 69: 757–775. https://doi.org/10.1080/08120099.2022.2048888 doi: 10.1080/08120099.2022.2048888
    [7] Butt AL, Flis MF (1997) The application of geophysics to iron ore mining in the Hamersley Basin, Western Australia. Explor Geophys 28: 195–198. https://doi.org/10.1071/EG997195 doi: 10.1071/EG997195
    [8] Hawke PJ, Flis MF (1997) Application of electrical techniques for iron ore exploration. Exploration Geophysics 28: 242–246. doi: 10.1071/EG997242
    [9] Porath H, Chamalaun FH (1968) Palaeomagnetism of Australian haematite ore bodies, Ⅱ, Western Australia. Geophys J R Astr Soc 15: 253–264. https://doi.org/10.1111/j.1365-246X.1968.tb00184.x doi: 10.1111/j.1365-246X.1968.tb00184.x
    [10] Clark DA, Schmidt PW (1986) Magnetic properties of the banded-iron formations of the Hamersley Group, WA Sydney, Australia, CSIRO Division of Mineral Physics, AMIRA Report 1638.
    [11] Guo WW, Li ZX, Dentith MC (2011) Magnetic petrophysical results from the Hamersley Basin and their implications for interpretation of magnetic surveys. Aust J Earth Sci 58: 317–333. https://doi.org/10.1080/08120099.2011.552984 doi: 10.1080/08120099.2011.552984
    [12] Guo W, Powell CMA, Dentith MC, et al. (1998) Self demagnetisation corrections in magnetic modeling: some examples, Explor Geophys 29: 396–401. https://doi.org/10.1071/EG998396 doi: 10.1071/EG998396
    [13] Guo W, Dentith MC, Bird RT, et al. (2001) Systematic error analysis of demagnetization and implications for magnetic interpretation. Geophysics 66: 562–570. https://doi.org/10.1190/1.1444947 doi: 10.1190/1.1444947
    [14] Trendall AF, Pepper RS (1977) Chemical composition of the Brockman Iron Formation, Western Australia Geological Survey.
    [15] Ewers WE, Morris RC (1980) Chemical and mineralogical data from the uppermost section of the upper BIF member of the Marra Mamba Iron Formation, Commonwealth Scientific and Industrial Research Organization, CSIRO Division of Mineralogy.
    [16] Ewers WE, Morris RC (1981) Studies of the Dales Gorge Member of the Brockman Iron Formation, Western Australia. Econ Geol 76: 1929–1953. https://doi.org/10.2113/gsecongeo.76.7.1929 doi: 10.2113/gsecongeo.76.7.1929
    [17] Gilhome WR (1975) Mount Tom Price iron orebody, Hamersley Iron Province, In: Knight CL, Eds., Economic Geology of Australia and Papua New Guinea, Australas Inst Min Metall Mono 5: 892–898.
    [18] Guo W, Howard D (2000) Interpretation of the crustal structure between the Hamersley and Ashburton Basins from gravity and magnetic data in the Wyloo area, Western Australia. Explor Geophys 31: 33–38. https://doi.org/10.1071/EG00033 doi: 10.1071/EG00033
    [19] Morris RC (1985) Genesis of iron ore in banded iron–formation by supergene and supergene–metamorphic processes—a conceptual model, In: Wolf KH, Eds., Handbook of strata–bound and stratiform ore deposits, Elsevier, 73–235.
    [20] Kneeshaw M (1984) Pilbara iron ore classification—a proposal for a common classification for BIF-derived supergene iron ore. Australas Inst Min Metall 289: 157–162.
    [21] Harmsworth RA, Kneeshaw M, Morris RC, et al. (1990) BIF-derived iron ores of the Hamersley Province. Australas Inst Min Metall Mono 14: 617–642.
    [22] Clout JMF (2006) Iron formation-hosted iron ores in the Hamersley Province of Western Australia. Appl Earth Sci 115: 115–125. https://doi.org/10.1179/174327506X138931 doi: 10.1179/174327506X138931
    [23] White AJR, Legras M, Smith RE, et al. (2014) Deformation-driven, regional-scale metasomatism in the Hamersley Basin, Western Australia. J Metamorphic Geol 32: 417–433. https://doi.org/10.1111/jmg.12078 doi: 10.1111/jmg.12078
    [24] Perring CS (2021) Petrography of martite-goethite ore and implications for ore genesis, South Flank, Hamersley Province, Western Australia. Aust J Earth Sci 68: 782–798. https://doi.org/10.1080/08120099.2021.1863860 doi: 10.1080/08120099.2021.1863860
    [25] Johnson GR, Olhoeft GR (1984) Density of rocks and minerals, In: Carmichael RS, Eds., CRC handbook of physical properties of rocks, Volume Ⅲ, CRC Press Inc.
    [26] Emerson DW (1990) Notes on mass properties of rocks—density, porosity, permeability. Explor Geophy 21: 209–216. https://doi.org/10.1071/EG990209 doi: 10.1071/EG990209
    [27] Price R (1996) Basement structures of the Turner Syncline region, Hamersley Province, Western Australia. The University of Western Australia, Australia.
    [28] Dunlop DJ, Ozdemir O (1997) Rock magnetism, London: Cambridge University Press.
    [29] Aylmer JA, Mathew PJ, Wylie AW (1978) Bulk density of stratified iron ores and its relationship to grade and porosity. Australas Inst Min Metall 265: 9–17.
    [30] Schon JH (1996) Physical properties of rocks: fundamentals and principles of petrophysics, Pergamon.
    [31] Srigutomo W, Heriyanto M, Aufa MH (2019) Gravity inversion of Talwani model using very fast simulated annealing. J Math Fund Sci 51: 177–190. https://doi.org/10.5614/j.math.fund.sci.2019.51.2.7 doi: 10.5614/j.math.fund.sci.2019.51.2.7
    [32] Rao K, Biswas A (2021) Modeling and uncertainty estimation of gravity anomaly over 2D fault using very fast simulated annealing global optimization. Acta Geophys 69: 1735–1751. https://doi.org/10.1007/s11600-021-00649-8 doi: 10.1007/s11600-021-00649-8
    [33] Li MM, Guo W, Verma B, et al. (2009) Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing. Neural Comput Applic 18: 423–430. https://doi.org/10.1007/s00521-008-0219-x doi: 10.1007/s00521-008-0219-x
    [34] Bailer-Jones DM, Bailer-Jones CAL (2002) Modeling data: Analogies in neural networks, simulated annealing and genetic algorithms. Model-Based Reasoning, Boston, MA: Springer. https://doi.org/10.1007/978-1-4615-0605-8_9
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1959) PDF downloads(192) Cited by(0)

Article outline

Figures and Tables

Figures(6)  /  Tables(4)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog