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Tanami 3D Model Related Links Required Software
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Updated:
18 July 2008
Tanami 3D modelAbout the Tanami 3D ModelThis 4th version of the Tanami 3D model covers a 200 km x 200 km area of the Tanami Region and Arunta Inlier (Aileron Province). This model consists of a series of 3D surfaces of major geological elements ranging from relatively shallow cover sequences, down to the Moho. The 3D surfaces were constructed using 3D GeoModeller and combines the interpreted seismic data from the 2005 Tanami Seismic Collaborative Research Project, with geological mapping, interpreted solid geology maps, and gravity and magnetic data. Elements of the model have been tested by gravity forward modelling. Geographic extentTanami Region, Northern Territory-Western Australia. ContentsDigital elevation model; images of magnetics, gravity, radiometrics, satellite imagery, mapped geology and regolith; roads; images of solid geology interpretation maps; modelled cross-sections; 3D fault surfaces; gravity and magnetic inversion surfaces; gravity and magnetics strings; mineral occurrences; SHRIMP geochronology; seismic images; and depth to basement points, surfaces and contours. SizeApproximately 27 MB. Startup download is 850 KB - the remaining datasets download when selected. Metadata
IntroductionThe aim of the X3D (extensible 3D) model is to assist visualisation of the three-dimensional distribution of the principal geological elements of the crust. Two 3D models of the crust are included and consist of: a series of fault surfaces constructed from geological sections, tested by potential field modelling; and, gravity and magnetic inversion surfaces generated by inverting gridded gravity and magnetic data into a 3D distribution of density and magnetic susceptibilities. The 3D models are viewable with a number of geological and geophysical datasets supplied by Geoscience Australia, the Northern Territory Geological Survey and the Geological Survey of Western Australia. Reference layers
Images
GeologyGeoscience Australia is the custodian of surface geological mapping at 1:250 000 scale for the Australian continent. The geology can be ordered as either digital maps or images. Scanned images of all 1:250 000 geology maps may be downloaded from the Geoscience Portal.
References:Slater, K.R., 2000. Tanami 1:250 000 integrated interpretation of geophysics and geology. Edition 1. Northern Territory Geological Survey. Vandenberg, L.C., Johnstone, A., Donnellan, N., Green, M.G. & Crispe, A., 2004. Northern Arunta Region Integrated interpretation of geophysics and geology, Northern Territory (First Edition) 1:500 000 scale map. Northern Territory Geological Survey, Alice Springs. Sites
Seismic ImagesThe seismic data was acquired as part of the 2005 Tanami Seismic Collaborative Research Project (Huston et al., 2006), a collaborative project between Geoscience Australia, the Geological Survey of Western Australia, the Northern Territory Geological Survey, Newmont Exploration and Tanami Gold NL, using seismic facilities of ANSIR, the National Research Facility of Earth Sounding. The aims of the project were to understand both the crustal architecture and mineral systems of the Tanami Region using deep seismic reflection techniques. A total of 720 line-km of 60-fold seismic reflection data were acquired to 20 s TWT along four lines using 60 000 lb peak force vibrators. The data were processed by the Seismic Acquisition and Processing Group within Geoscience Australia and included the following key processing steps: calculation of refraction and automatic residual statics, spectral equalisation, stacking velocity analysis, DMO, and migration. These images consist of the final migrated seismic sections. Reference: Huston, H., Goleby, B., Vandenberg, L., Bagas, L., Jones, L., Korsch, R., Lyons, P., Johnston, W., Smith, T., Barton, T., and Johnstone, D., 2006. The Tanami Deep Seismic Reflection Experiment: a look under the surface of a major gold province in northern Australia. Australian Earth Sciences Conference, Extended Abstract. Seismic InterpretationThe interpretation was conducted on the migrated sections. All sections were plotted at a V/H ratio equal to 1, assuming an average crustal velocity of 6 kms-1. Detailed interpretations of the 6 s sections were done at 1:50 000 scale; interpretations of 20 s sections were done at both 1:100 000 and 1:200 000 scales. The seismic data were interpreted in conjunction with regional geophysical data (gravity and magnetics), integrated geological and geophysical interpretations (Slater, 2000 a,b; Vandenberg et al., 2004) and integrated geological-geophysical modelling (Vandenberg et al., 2004; Meixner and Vandenberg, 2004). References: Meixner, A.J., Vandenberg, L.C., and Nicoll, M.G., 2004. 3-D modelling of the Tanami Gold Region. Bulletin of the Society of Economic Geologists - Perth conference 2004, extended abstracts. 304-308. Slater, K.R., 2000a. Tanami SE 52-15 1:250 000 Integrated interpretation of geophysics and geology. Northern Territory Geological Survey. Slater, K.R., 2000b. The Granites SE 52-15 1:250 000 Integrated interpretation of geophysics and geology. Northern Territory Geological Survey. Vandenberg, L.C., Johnstone, A., Donellan, N., Green, M.G., and Crispe, A.J., 2004. Northern Arunta Region Geophysical Interpretation. Northern Territory Geological Survey. Vandenberg, L.C., Meixner, A.J., and Nicoll, M.G., 2004. The Tanami 3-D geological model - integrating geology and potential field data. ASEG 17th Geophysical Conference and exhibition, Sydney 2004, Extended abstracts. Modelled SectionsGravity modelling was conducted in order to constrain the architecture delineated by interpretation of the seismic data. The Willowra 1 section approximates the southeast portion of the back-bone seismic line 05GA-T1 where it crosses the east-west-trending Willowra Gravity Ridge. The modelling was conducted on a straight section that approximates the line of the seismic transect as it follows the roads and tracks of the region. The seismic data show a thickening of the crust across the gravity ridge, with a marked difference in the character of reflectivity: moderate apparent southeast-dipping reflectors to the northwest of the ridge, and strong apparent northwest-dipping reflectors to the southeast of the ridge. A region of strong reflectivity separated by zones of strong reflectors is coincident with the gravity ridge. This region of strong reflectivity is interpreted as a wedge of upthrust lower crustal material, which now separates the Tanami basement to the northwest and the Arunta basement to the southeast. The apparent southeast and northwest-dipping zones of strong reflectivity separating the Tanami basement from both the crustal wedge and the Arunta basement is interpreted as a "crocodile" structure typical of terrain collision (Meissner, 1989). The seismic interpretation formed the geometrical constraints to the Willowra 1 modelled section. A density of 3.3 g/cm3 was assigned to the mantle and 2.7 g/cm3 to the undivided Tanami Group and Lander Rock Beds. The remaining densities were altered until a reasonable fit was achieved between the modelled gravity and the long wavelength variation of the observed gravity. The geometry of the Willowra Gravity Ridge is somewhat complex in the region where it is crossed by the seismic line, compared to portions east and west of the transect, where it is relatively narrow and trends east-west. Where the seismic line crosses the ridge, it is broader, 'dog-legs' to the north and there is a drop in the magnitude of the gravity anomaly. The Willowra 2 section is located to the west of Willowra 1, where the crust is interpreted to be structurally simpler. The longer wavelength of the observed gravity is successfully modelled in the Willowra 2 section using the same densities and similar geometries to the Willowra 1 section, but without the need for the dense body (3.0 g/cm3) at the base of the Arunta crust employed in the Willowra 1 section. The interpretation that the seismic line (05GA-T1) crosses a structurally complex portion of the Willowra gravity ridge is supported by a number of major east-west trending faults identified from magnetic and gravity data in the region of the seismic line (Slater, 2000; Vandenberg et al., 2004). References: Meissner, R., 1989. Rupture, creep, lamellae and crocodiles: happenings in the continental crust. Terra Nova, 1(1). 17-28. Slater, K.R., 2000. The Granites SF 52-3 1:250 000 integrated interpretation of geophysics and geology. Edition 1. Northern Territory Geological Survey. Vandenberg, L.C., Johnstone, A., Donellan, N., Green, M.G., and Crispe, A.J., 2004. Northern Arunta Region Geophysical Interpretation. Northern Territory Geological Survey. 3D ModelThe Tanami 3D model covers a 200 km x 200 km area of the Tanami Region and Arunta Inlier (Aileron Province) and extends to a depth of 60 km. The model consists of a series of 3D surfaces defining major geological elements ranging from relatively shallow cover sequences, down to the Moho. The 3D surfaces were constructed using 3D GeoModeller, combining the interpreted seismic data from the 2005 Tanami Seismic Collaborative Research Project (Huston et al., 2006) with geological mapping, interpreted solid geology maps, and gravity and magnetic data. Elements of the model have been tested by gravity forward modelling. 3D GeoModeller is a mathematically-based surface modelling package that allows construction of 3D volumetric models based on a range of geological information ( http://www.geomodeller.com/geo/index.php). Meixner et al. (2006) describe the use of 3D GeoModeller in constructing 3D models. The geological input consists of (1) defining a stratigraphic pile with the geological units related by conformable, onlapping, or erosional contacts; (2) geological contact points; (3) geological orientation data, and; (4) faults. Geological boundaries within the models are then computed as mathematical functions that take into account the lithological contacts and orientation measurements supplied by the user. The advantage 3D GeoModeller has over the more traditional CAD-based packages for surface construction is that it takes less time to build complex 3D surfaces, which can easily be modified by altering the initial input parameters. The 3D model consists of the following surfaces:
References: Huston, D.L., Vandenberg, L., Wygralak, S., Mernagh, T.P., Bagas, L., Crispe, A., Lambeck, A., Cross, A., Fraser, G., Williams, N., Worden, K., Meixner, T., Goleby, B., Jones, L., Lyons, P., and Maidment, D., 2007. Lode-gold mineralization in the Tanami region, northern Australia. Miner Deposita 42. 175-204. Huston, D.L., Goleby, B., Vandenberg, L., Bagas, L., Jones, L., Korsch, R., Lyons, P., Johnston, W., Smith, T., Barton, T., and Johnstone, D., 2006. The Tanami Deep Seismic Reflection Experiment: a look under the surface of a major gold province in northern Australia. Australian Earth Sciences Conference, Extended Abstract. Meixner, A.J., Lane, R., Czarnota, K., and Cassidy, K., 2006. Constructing geologically-constrained 3D models using 3D GeoModeller: an example from the Paterson Orogen. Geoscience Australia, Record, 2006/20. Slater, K.R., 2000a. The Granites SF 52-3 1:250 000 integrated interpretation of geophysics and geology. Edition 1. Northern Territory Geological Survey. Slater, K.R., 2000b. Tanami SE 52-15 1:250 000 integrated interpretation of geophysics and geology. Edition 1. Northern Territory Geological Survey. Vandenberg, L.C., Johnstone, A., Donnellan, N., Green, M.G., and Crispe, A., 2004. Northern Arunta Region integrated interpretation of geophysics and geology, Northern Territory (First Edition) 1:500 000 scale map. Northern Territory Geological Survey, Alice Springs. Vandenberg, L.C., Hendrickx, M.A., and Crispe, A.J., 2001. Structural geology of the Tanami Region. Northern Territory Geological Survey, Record 2001-004. Pre-Seismic SectionsThe modelled sections are based on geological interpretations that are consistent with known geological and structural data in the region. The geological cross-sections were tested by potential field modelling using ModelVision, a 2D interactive program. Subsequent geological and geophysical revisions resulted in the final modelled sections. Each section has been modelled to a depth of 15 km. Cross-section positions were chosen such that many previously identified or interpreted faults, contacts and structures related to mineralisation were intersected at right angles. This effectively simulated a 2D environment perpendicular to the section lines in order to simplify the forward modelling process. Gravity data consisted mostly of 4 to 11 km station spacing. The sparse station spacing results in an under-sampled gravity field which precludes the modelling of near surface features. Gravity modelling, however, was useful for modelling the deep crustal structure. In contrast, magnetic data, acquired at 500 m or less flight line spacing, were suitable for modelling near-surface structure. For section construction, basic stratigraphic sub-divisions for the Tanami were adopted (Hendrickx et al, 2000). Gravity modelling incorporated standard standard density values, taking into account metamorphic grade and proportions of various rock types within a stratigraphic unit (eg. siliclastic sedimentary rocks vs. mafic rocks). Magnetic modelling incorporated magnetic susceptibility values that are within acceptable ranges for the given rock compositions. A regional baseline is included in the magnetic modelling for a number of sections where a low order polynomial (order 2, for section 1) or a tilt is interpreted to exist in the regional magnetic field. Modelling of this anomalous field is not possible using variations of magnetic material within the top 15 km of the crust. For further information refer to Vandenberg & Meixner (2004) and Meixner & Vandenburg (2004). There are two sets of check boxes associated with each cross-section in the model. The right-hand column "c" box will display an image of the cross-section with profiles of the modelled and observed gravity and magnetic data. The left-hand column check box will display the cross-section in 3D space. ReferencesVandenberg, L.C., & Meixner, A.J., 2004, The Tanami 3-D geological model - integrating geology and Potential field data. In, ASEG 17th Geophysical Conference and Exhibition, Sydney 2004, extended abstracts. Meixner, A.J. & Vandenberg, L.C., 2004. 3-D modelling of the Tanami Gold Region. Bulletin of the society of economic geologists - Perth conference 2004, extended abstracts. 304-308. Pre-Seismic Fault Surfaces
The fault surfaces were created in GoCad from fault traces located on the solid geology interpretation maps and the modelled cross-sections. The faults were constructed to a depth of 15 km to be consistent with the modelled sections. The faults were assigned different colours according to the deformation event that they were interpreted to be most active. Some faults, for example the Supplejack Fault, formed in an earlier deformation event (D1) and were reactivated in subsequent deformation events. Tanami Region structural summaryA thorough description of the characteristics, relationships and ages of tectono-stratigraphic units and granitoids in the Tanami region is given in Crispe et al. (2005). The oldest rocks in the Tanami region are thought to be the high-grade metasedimentary rocks and leucogranites of Neoarchaean age within the Billabong Complex (~2510 Ma; Page et al., 1995), although these rocks are being redated. The most extensive unit is the Tanami Group (~1840 Ma), subdivided into the basal Dead Bullock and overlying Killi Killi formations. Dolerite sills intrude the Tanami Group.
ReferencesCrispe, A. Scrimgeour, I. and Vandenberg, L., (2005). Geological framework of the Palaeoproterozoic Tanami region, Northern Territory. Mineralium Deposita, in review. Cross, A., Crispe, A., and Williams, I., (2005) Mineralium Deposita, in review. Hanley, L.M., and Wingate, M.T.D., 2000. SHRIMP zircon age for an Early Cambrian dolerite dyke: an intrusive phase of the Antrim Plateau Volcanics of Northern Australia. Australian Journal of Earth Sciences, 47/6, 1029-1040. Page, R.W., Sun, S-s., Blake, D.H., Edgecombe, D.R., and Pearcey, D.P., 1995. Geochronology of an exposed late Archaean basement terrane in The Granites-Tanami region. AGSO Res. Newsl. 22: 19-20. Vandenberg, L.C., Hendrickx, M.H., and Crispe, A.J., 2001. Structural geology of the Tanami region. Northern Territory Geological Survey Record 2001-004. Inversion surfaces3D inversion surfaces The low density (red) and highly magnetic (green) inversion surfaces were generated using recently developed 3D inversion modelling software. This software, which utilises gravity and magnetic data, was developed by the University of British Columbia – Geophysical Inversion Facility (Li & Oldenburg, 1996; 1998) and is an advance over the more traditional 2D forward modelling method, allowing the generation of full 3D models in an automated environment. This study is the first application of 3D inversion modelling to the central Australian region (Meixner & Lane, 2005). 3D inversion is a means of transforming observed gravity or magnetic data into a 3D model, populated by a mesh of cells consisting of density or magnetic susceptibility values. The process is iterative, whereby adjustments are made to a starting model in order to minimise the misfit between the observed and the computed data. The final models, containing the density and magnetic susceptibility values, reproduce the observed gravity or magnetic field to within a small degree of error. 3D inversion surfaces were generated to enclose regions within the models of anomalous physical property values. The red surfaces enclose regions of low density within the gravity model of less than 2.655 g/cm3, or 0.015 g/cm3 below the mean density for the model of 2.67 g/cm3. These surfaces correspond mostly to mapped and interpreted granites and are interpreted to simulate the 3D distributions of the granites. The green surfaces enclose regions of high magnetic susceptibilities within the magnetic inversion model with susceptibility values of greater than 0.01 SI. These surfaces correspond mostly to the magnetic stratigraphy (BIFs and mafic units) within the Tanami group sediments and are also interpreted to simulate the 3D distribution of these units. The inversion models, therefore, may be used as a regional-scale guide for determining where the magnetic units, which are considered to be potential traps for gold mineralisation, may appear at depth, as well as where these units might occur close to the surface, beneath younger cover. References: Li, Y. & Oldenburg, D.W., 1996. 3-D inversion of magnetic data. Geophysics, VOL. 61(2), 394-408. Li, Y. & Oldenburg, D.W., 1998. 3-D inversion of gravity data. Geophysics, VOL. 63(1), 109-119. Meixner, A.J.,& Lane, R., 2005. 3D inversion of gravity and magnetic data for the Tanami Region. Annual Geoscience Exploration Seminar (AGES) 2005: Record of Abstracts. Northern Territory Geological Survey. Record 2005-001. Gravity and Magnetics StringsMulti-scale analysis of potential field (gravity and magnetic) data, or "strings", is based on the property that data collected at or near the Earth's surface contain a spectrum of wavelengths. Short wavelengths usually result from near-surface property distributions (or "bodies"), while longer wavelengths usually result from deeper bodies. Such generalisations must be used with caution because, due to the non-uniqueness of potential field data, an infinite number of property distributions are possible which give rise to the same measured field at the surface. This concept of depth as a function of wavelength led to the development of a multi-scale approach to the detection of property boundaries. From potential field theory, data collected at one level above the Earth's surface can be transformed to data that could be acquired at any other level. This process is termed "continuation", and while there are practical considerations concerning noise degradation in the downward continuation process, upward continuation, which is essentially a smoothing process, can be successfully achieved. Thus, if data are upward continued to a number of levels, which represent successive removal of short-wavelength information as height increases, the maximum gradients (edges) selected from such data provide information concerning the depth and attitude of source discontinuities (e.g. Archibald et al., 1999; Hornby et al., 1999; Hobbs et al., 2000). For an explanation of the method used to create the strings, contact Tony Meixner of Geoscience Australia. ReferencesArchibald, N., Gow, P. & Boschetti, F., 1999. Multiscale edge analysis of potential field data. Exploration Geophysics, 30, 38-44. Canny, J., 1986. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-698. Hobbs, B.E., Ord, A., Archibald, N.J., Walshe, J.L., Zhang, Y., Brown, M. & Zhao, C., 2000. Geodynamic modelling as an exploration tool: Published in: After 2000: the future of mining. The impact of new technology and changing demands on the mining industry, Sydney, 10-12 April, 2000. Proceedings. AusIMM Publication Series. Hornby, P., Boschetti, F. & Horowity, F.G., 1999. Analysis of potential field data in the wavelet domain. Geophysical Journal International, 137, 175-196. Milligan, P.R., Lyons, P. & Direen, N., 2003. Spatial and directional analysis of potential field gradients - new methods to help solve and display three-dimensional crustal architecture. Extended Abstracts. ASEG 16th Geophysical Conference and Exhibition, February 2003, Adelaide. Depth to basement
Euler deconvolutionThe Euler solutions were generated using the Intrepid geophysical software, applied to gridded magnetic data. The solutions generated used the "extended" Euler deconvolution method as implemented by FitzGerald et al. (2003) following the methods of Mushayandebvu et al. (2001) and Nabighian and Hansen (2001). Depth estimates were generated using the two Hilbert equations which calculate solutions for the spatial position of the source, the structural index (SI) and associated errors (Milligan, et al., 2004). Two window sizes (7 and 15 cells) were used in order to resolve depth solutions for near surface, as well as deeply buried magnetic bodies. A large number of solutions were often generated for each magnetic anomaly, while solutions for more than one SI were often also generated for an individual anomaly. Filtering of spurious solutions was achieved by applying cut-off values on a number of parameters as suggested by FitzGerald, et al. (2004) and rejecting solutions where the values for a given parameter fell outside excepted values. The SI of a solution was used as a way of associating the "shape" of the magnetic anomaly with a particular source body. For magnetic data the SI values are: 0 for a contact; 0.5 for a thick dyke; 1 for a fault (small step) and a thin dyke; 2 for a horizontal cylinder; and, 3 for a sphere. The SI values should be integer values and are theoretical model-derived estimates of field fall-off rates. In practice, however, the extended Euler method generates non-integer values which are then rounded to the nearest integer for subsequent analysis. The most accurate depth estimate will be given by the appropriate SI for a particular source body. A discrete elongated anomaly, for example, will be produced by either a thin (0.5 SI) or thick (1 SI) dyke. Some interpretation by the user is required in order to select the appropriate SI for each magnetic anomaly. Selected forward modellingThe Euler method failed to generate solutions for a number of deeply sourced elongate anomalies interpreted to be sourced from dyke like bodies (SI 0.5 or 1). The larger window size of 15 cells, which is the maximum number of cells allowable in the Intrepid application, should have been large enough to generate valid solutions. Solutions were also not generated for a series of subtle north-west trending anomalies in the north-western portion of the model area. Again, these bodies, interpreted to be dykes, should have generated solutions (SI 0.5 or 1). The anomalies, though discrete, are subtle (5-10 nT), and may have been below a threshold value set within the Intrepid application. Forward modelling, using ModelVision, was conducted on selected anomalies where the Euler process failed to generate valid depth solutions. Only discrete anomalies were chosen that were interpreted as sourced by a dipping dyke body. The widths of the "dykes" were set as the width of the anomaly at half maximum amplitude and are therefore simulating a thick dyke source or the theoretical equivalent of an SI of 0.5. The depth estimates to the top of the source body using the thick-dyke model will return a minimum depth to the source body. A thin dyke model (SI 1), simulating the same magnetic anomaly, will tend to return a larger depth estimate to the top of the body. The modelled depths should therefore be considered a minimum depth to basement. ReferencesFitzGerald, D., Reid, A., and McInerney, P., 2004, New discrimination techniques for Euler deconvolution: Computers & Geosciences, 30, 461-469. FitzGerald, D., Reid, A., and McInerney, P., 2003, New discrimination techniques for Euler deconvolution: 8th SAGA Biennial Technical Meeting and Exhibition, October 2003. Milligan, P.R., Reed, G., Meixner, T., and FitzGerald, D., 2004, Towards automated mapping of depth to magnetic basement – examples using new extensions to an old method: Extended Abstract, ASEG Conference, Sydney, 2004. Mushayandebvu, M.F., van Driel, P., Reid, A.B., and Fairhead, J.D., 2001, Magnetic source parameters of two-dimensional structures using extended Euler deconvolution: Geophysics, 66, 814-823. Nabghian, M.N., and Hansen, R.O., 2001, Unification of Euler and Werner deconvolution in three dimensions via the generalised Hilbert transform: Geophysics, 66, 1805-1810. Product InformationFor a complete metadata reference, please see the ANZLIC metadata record 11115. For product information, please see Geocat record 65367. For more information contact: web3d@ga.gov.au.
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