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TechnoImaging® - Creating fully 3D detailed models of subsurface features from any type of geophysical data.

TechnoImaging® will turn your geophysical data into detailed, fully 3D models of subsurface deposits or structures. We custom design each solution to best match our customers' unique data set. Our patented EMVision® approach brings focus and 3D clarity to data interpretation in a multitude of industries:

Oil and gas exploration Civil Engineering
Mineral exploration Defense
Environmental exploration Archeology
Urban and infrastructure planning Geothermal
Glass Earth® Model

Our Glass Earth® technology renders the top kilometers of the ground entirely transparent, revealing deposits, geological formations, and even man-made structures.

All types of surveys: AIRBORNE, MARINE, LAND and BOREHOLE

All types of geophysical data: ELECTROMAGNETIC, MAGNETIC, GRAVITY, SEISMIC, DC RESISTIVITY OR INDCUED POLARIZATION

Multi-Physics 3D Models
Combine multiple types of data for a multi-physics approach that produces integrated geophysical models with greater focus and clarity.

Large-Scale 3D Models>br/> TechnoImaging® is capable of quickly processing large-scale surveys, without having to subdivide them into smaller sections.

Conducting Surveys
TechnoImaging® has partnered up with some of the world’s leading survey providers. Our partners will bring the equipment and expertise required to conduct all types of geophysical data collection to your survey site. These services can be combined with TechnoImaging® 3D modeling services into a combined, competitively priced package.

Take a step into the future with the detailed 3D modeling capabilities brought to you by TechnoImaging®.

TechnoImaging® full 3D Magnetic Inversion applied to gold exploration at Kubi gold mine in Ghana

  • 3D Magnetic susceptibility by TechnoImaging® https://www.asantegold.com/
  • 3D modelling suggests 2 million ounce exploration potential to 3km depth
  • Garnetiferous horizon contains fine grained gold associated with minor (5-15%) pyrite and pyrrhotite as well as some coarser gold which is associated with relatively narrow quartz veins. The pyrrhotite causes the magnetic susceptibility signature.

Data Courtesy of Asante Gold Corporation

Malovichko, M., A.V. Tarasov, N Yavich, and M. S. Zhdanov, 2019, Mineral exploration with 3-D controlled-source electromagnetic method: a synthetic study of Sukhoi Log gold deposit: Geophysical Journal International, 3, 1698-1716.

Tu, X., and M.S. Zhdanov, 2019, Enhancement and sharpening the migration images of the gravity field and its gradients: Pure and Applied Geophysics: 1-23.

Zhdanov, M. S., and X. Tu, 2019, Processing and imaging of towed-streamer electromagnetic data with synthetic aperture method: First Break, 37 (12), 51-54.

Zhdanov, M. S., 2020, Maxwell's equations and numerical electromagnetic modeling in the context of the theory of differential forms: Active geophysical monitoring, 245-267.

Wan, L., M Han, HA AlJanobi, and MS Zhdanov, 2020, Feasibility study of gravity gradiometry monitoring of CO2 sequestration in deep reservoirs using surface and borehole data: Active Geophysical Monitoring, 123-140.

Marsala, A., M.S. Zhdanov, V Burtman, L Cox, D Sunwall, and M Ćuma, 2020, Feasibility study of reservoir monitoring using the induced polarization effect associated with nanoparticles: Active Geophysical Monitoring, 141-164.

Zhdanov, M..S , and S Wang, 2020, Foundations of the method of electromagnetic field separation in upgoing and downgoing parts and its application to marine controlled source electromagnetic data: Active Geophysical Monitoring, 295-321.

Zhdanov, M.S., M Ćuma, and T Ueda, 2020, Three-dimensional electromagnetic holographic imaging in active monitoring of sea-bottom geoelectrical structures: Active Geophysical Monitoring, 269-294.

Black, N., and M.S. Zhdanov, 2020, Active geophysical monitoring of hydrocarbon reservoirs using electromagnetic methods: Active Geophysical Monitoring, 69-95.

Zhdanov, M.S., M Han, and L Wan, 2020, Joint iterative migration of surface and borehole gravity gradiometry data: Active Geophysical Monitoring, 97-121.

Malovichko, M., N Khokhlov, N Yavich, and M.S. Zhdanov, 2020, Incorporating known petrophysical model in the seismic full‐waveform inversion using the Gramian constraint: Geophysical Prospecting, 68 (4), 1361-1378.

Tu, X., and M.S. Zhdanov, 2020, Least Squares Migration of Synthetic Aperture Data for Towed Streamer Electromagnetic Survey: IEEE Geoscience and Remote Sensing Letters.

Tu, X., and M.S. Zhdanov, 2020, Robust Synthetic Aperture Imaging of Marine Controlled-Source Electromagnetic Data: IEEE Transactions on Geoscience and Remote Sensing.

Xu, Z., Wan, L., Han, M., Zhdanov, M. S., & Mao, Y. (2019). Joint inversion of gravity gradiometry data by model-weighted clustering in logarithmic space. In SEG Technical Program Expanded Abstracts 2019 (pp. 1779-1783). Society of Exploration Geophysicists.

Cox, L. H., Zhdanov, M. S., & Alfouzan, F. (2019). Inductive coupling in IP measurements and applications to 3D distributed array field data inversion. In SEG Technical Program Expanded Abstracts 2019 (pp. 2173-2177). Society of Exploration Geophysicists.

Zhdanov, M. S., Alfouzan, F., Cox, L. H., & Alotaibi, A. (2019). From airborne to effective-medium spectral IP mineral exploration: A case study in Saudi Arabia. In SEG Technical Program Expanded Abstracts 2019 (pp. 2178-2182). Society of Exploration Geophysicists.

Jorgensen, M., & Zhdanov, M. S. (2019). Imaging Yellowstone magmatic system by the joint Gramian inversion of gravity and magnetotelluric data. Physics of the Earth and Planetary Interiors, 292, 12-20.

Tu, X., & Zhdanov, M. S. (2019). Enhancing and sharpening the migration images of gravity field and its gradients. In SEG Technical Program Expanded Abstracts 2019 (pp. 1704-1708). Society of Exploration Geophysicists.

Tu, X., & Zhdanov, M. S. (2019). Least square migration of synthetic aperture data for towed streamer electromagnetic survey. In SEG Technical Program Expanded Abstracts 2019(pp. 1135-1139). Society of Exploration Geophysicists.

Malovichko, M., Tarasov, A. V., Yavich, N., & Zhdanov, M. S. (2019, June). Comparing the Effectiveness of CSEM, CSAMT, and DC Methods on a 3D Model of Gold Deposit. In 81st EAGE Conference and Exhibition 2019.

Lin, W., & Zhdanov, M. S. (2019). The Gramian Method of Joint Inversion of the Gravity Gradiometry and Seismic Data. Pure and Applied Geophysics, 176(4), 1659-1672.

Zhdanov, M., Alfouzan, F., Cox, L., Alotaibi, A., Alyousif, M., Sunwall, D., & Endo, M. (2018). Large-Scale 3D Modeling and Inversion of Multiphysics Airborne Geophysical Data: A Case Study from the Arabian Shield, Saudi Arabia. Minerals, 8(7), 271.

Zhdanov, M., Endo, M., Cox, L., & Sunwall, D. (2018). Effective-medium inversion of induced polarization data for mineral exploration and mineral discrimination: Case study for the copper deposit in Mongolia. Minerals, 8(2), 68.

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