scholarly journals THREE-DIMENSIONAL FORWARD AND INVERSE MODELLING OF MULTI-HEIGHT MAGNETIC DATA USING THE RELIEF MAPS

2020 ◽  
pp. 4-11
Author(s):  
M. A. Maksimov ◽  
I. V. Surodina
Keyword(s):  
Inverse Problem ◽  
High Performance ◽  
Three Dimensional ◽  
Noisy Data ◽  
Magnetic Data ◽  
Magnetic Survey ◽  
Direct And Inverse Problems ◽  
Spatially Distributed ◽  
Algorithmic Software ◽  
And Inversion

We have developed the high-performance software and algorithmic software for solving the direct and inverse problems of modeling and inversion of spatially distributed magnetic, taking into account the relief. We show the results of solving the inverse problem of magnetic survey taking into account the relief for synthetic noisy data.

scholarly journals Application of Airborne Magnetic Survey in Deep Iron Ore Prospecting—A Case Study of Jinling Area in Shandong Province, China

Minerals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1041
Author(s):  
Ning Lu ◽  
Guixiang Liao ◽  
Yongzai Xi ◽  
Hongshan Zheng ◽  
Fang Ben ◽  
...  
Keyword(s):  
Iron Ore ◽  
Mineral Resources ◽  
Detection Methods ◽  
Magnetic Data ◽  
Magnetic Survey ◽  
Spatially Distributed ◽  
Ore Prospecting ◽  
Increasing Demand ◽  
Almost All ◽  
Airborne Magnetic

With the increasing demand for mineral resources, there is an inevitable trend to carry out deep prospecting in existing old mines to find a second or even third mining space. Deep prospecting is also an affordable and practical way to prolong the lives of mines and provide a sustainable supply of mineral resources. The magnetic survey is arguably the most effective method for iron ore prospecting. In this paper, a high resolution airborne magnetic (HRAM) survey for deep iron prospecting in the Jinling iron ore cluster (JIOC) was carried out in 2018, which renewed the field magnetic data of the JIOC obtained in the 1980s. From previous studies, almost all iron deposits in the JIOC are spatially distributed in the contact zone between the intrusive rocks and the surrounding rocks. The key prospecting areas were inferred by delineating intrusive rock boundaries via boundary enhancement and edge detection methods, and one of the areas was verified by drilling.

Thermal Solution Maps: A Strategy for Thermal Design of Three-Dimensional Packages

2009 ◽  
Vol 131 (1) ◽  
Author(s):  
M. Rayasam ◽  
S. Chaparala ◽  
D. Farnam ◽  
B. G. Sammakia ◽  
G. Subbarayan
Keyword(s):  
High Performance ◽  
Three Dimensional ◽  
Real Life ◽  
Optimization Techniques ◽  
Thermal Design ◽  
Optimal Placement ◽  
Optimal Size ◽  
Spatially Distributed ◽  
Thermal Solution ◽  
Heat Sinking

Three-dimensional (3D) packages are of considerable interest at the present time as a means for heterogeneous high-performance integration of disparate digital, analog, optical, and MEMS technologies. However, their design is challenged by several issues, including the appropriate choice of thermal solution to be used in the 3D stack. Suboptimal placement of heat sources/sinks leads to hot spots, which are detrimental to package reliability. The broad goals of this study are to determine the appropriate cost and reliability-constrained heat-sinking solutions through an optimal placement of spatially distributed energy transporting elements. The heat-sinking solutions considered in this study include microchannels, and thermal vias. We conduct a microchannel analysis to develop a reduced model of the heat and mass transfer characteristics of the microchannel. We also develop optimization techniques and tools for thermal solution design of three-dimensional packages. We use a nonuniform “real-life” microprocessor power map for the illustration of the procedure. We subsequently obtain the optimal size and location of the thermal vias and microchannels in a 3D stack by minimizing a proposed multi-objective criteria. Finally, we develop and illustrate the notion of design maps that would guide the designers in the selection of appropriate thermal solution technologies for 3D packages.

Noniterative three‐dimensional inversion of magnetic data

Geophysics ◽  
1990 ◽  
Vol 55 (6) ◽  
pp. 782-785 ◽  
Author(s):  
A. M. Pustisek
Keyword(s):  
Inverse Problem ◽  
Potential Field ◽  
Field Data ◽  
Three Dimensional ◽  
Magnetic Data ◽  
Aeromagnetic Data ◽  
Nonlinear Inverse Problem ◽  
Potential Field Data

The interpretation of magnetic or aeromagnetic data often requires the inverse problem’s solution of the structure of the magnetization interface. This nonlinear inverse problem of mapping the basement topography from potential field data was first discussed by Peters (1949).

scholarly journals An Improved Method for Aerodynamic Design of Centrifugal Impeller Blades

1991 ◽  
Author(s):  
Zhengming Wang ◽  
Bangxian Wu ◽  
Wu Zhang
Keyword(s):  
Inverse Problem ◽  
Series Expansion ◽  
Separation Bubble ◽  
Three Dimensional ◽  
Design Procedure ◽  
Expansion Method ◽  
Centrifugal Impeller ◽  
Improved Method ◽  
Direct And Inverse Problems ◽  
Stream Surface

Based on the “General Theory of Three-Dimensional Flow in Turbomachines”, an improved method for designing centrifugal impeller blades has been developed. The design procedure is performed with the help of the combination of an S2 inverse problem code, a code for generating a profile on a revolution surface by a two-step series expansion and the codes of S1 direct and inverse problems. After the calculation of the inverse problem on the S2 stream surface is completed, a special series expansion method is used for obtaining a preliminary blade profile, then the relative flow field is predicted by the S1 direct code and is improved by the S1 inverse code. The method is favourable for smoothing the velocity distribution on the blade surface, eliminating the separation bubble and raising the efficiency of the impeller. The present method has been successfuly applied to improving the design of a centrifugal impeller.

Improved 3-D reconstruction using stereo computer graphics and multiple tilt EM images

1995 ◽  
Vol 53 ◽  
pp. 630-631
Author(s):  
Lee D. Peachey ◽  
Lou Fodor ◽  
John C. Haselgrove ◽  
Stanley M. Dunn ◽  
Junqing Huang
Keyword(s):  
Computer Graphics ◽  
High Performance ◽  
Transverse Section ◽  
Three Dimensional ◽  
Stereo Pair ◽  
3D Reconstructions ◽  
Video Cameras ◽  
Biological Objects ◽  
Microscope Images ◽  
High Performance Computer

Stereo pairs of electron microscope images provide valuable visual impressions of the three-dimensional nature of specimens, including biological objects. Beyond this one seeks quantitatively accurate models and measurements of the three dimensional positions and sizes of structures in the specimen. In our laboratory, we have sought to combine high resolution video cameras with high performance computer graphics systems to improve both the ease of building 3D reconstructions and the accuracy of 3D measurements, by using multiple tilt images of the same specimen tilted over a wider range of angles than can be viewed stereoscopically. Ultimately we also wish to automate the reconstruction and measurement process, and have initiated work in that direction.Figure 1 is a stereo pair of 400 kV images from a 1 micrometer thick transverse section of frog skeletal muscle stained with the Golgi stain. This stain selectively increases the density of the transverse tubular network in these muscle cells, and it is this network that we reconstruct in this example.

Three-Dimensional In Vivo Kinematics of the Subtalar Joint During Dorsi-Plantarflexion and Inversion-Eversion

2009 ◽  
Vol 30 (05) ◽  
pp. 432-438 ◽  
Author(s):  
Akira Goto ◽  
Hisao Moritomo ◽  
Tomonobu Itohara ◽  
Tetsu Watanabe ◽  
Kazuomi Sugamoto
Keyword(s):  
Subtalar Joint ◽  
Three Dimensional ◽  
In Vivo Kinematics ◽  
And Inversion

Airborne geophysical surveys in Greenland in 1998

1999 ◽  
pp. 34-38 ◽  
Author(s):  
Thorkild M. Rasmussen ◽  
Leif Thorning
Keyword(s):  
High Resolution ◽  
Geophysical Data ◽  
Digital Data ◽  
Geological Survey ◽  
Magnetic Data ◽  
Magnetic Survey ◽  
Original Series ◽  
Geophysical Surveys ◽  
The Government

NOTE: This article was published in a former series of GEUS Bulletin. Please use the original series name when citing this article, for example: Rasmussen, T. M., & Thorning, L. (1999). Airborne geophysical surveys in Greenland in 1998. Geology of Greenland Survey Bulletin, 183, 34-38. https://doi.org/10.34194/ggub.v183.5202 _______________ Airborne geophysical surveying in Greenland during 1998 consisted of a magnetic project referred to as ‘Aeromag 1998’ and a combined electromagnetic and magnetic project referred to as ‘AEM Greenland 1998’. The Government of Greenland financed both with administration managed by the Geological Survey of Denmark and Greenland (GEUS). With the completion of the two projects, approximately 305 000 line km of regional high-resolution magnetic data and approximately 75 000 line km of detailed multiparameter data (electromagnetic, magnetic and partly radiometric) are now available from government financed projects. Figure 1 shows the location of the surveyed areas with highresolution geophysical data together with the area selected for a magnetic survey in 1999. Completion of the two projects was marked by the release of data on 1 March, 1999. The data are included in the geoscientific databases at the Survey for public use; digital data and maps may be purchased from the Survey.

Incorporation of spatial variability in modeling non-point source groundwater nitrate pollution

1996 ◽  
Vol 33 (4-5) ◽  
pp. 233-240 ◽  
Author(s):  
F. S. Goderya ◽  
M. F. Dahab ◽  
W. E. Woldt ◽  
I. Bogardi
Keyword(s):  
Spatial Variability ◽  
Point Source ◽  
Three Dimensional ◽  
Nitrate Contamination ◽  
Geostatistical Simulation ◽  
Chemical Measurements ◽  
Spatially Distributed ◽  
Potential Benefits ◽  
Zone Modeling ◽  
Physical And Chemical

A methodology for incorporation of spatial variability in modeling non-point source groundwater nitrate contamination is presented. The methodology combines geostatistical simulation and unsaturated zone modeling for estimating the amount of nitrate loading to groundwater. Three dimensional soil nitrogen variability and 2-dimensional crop yield variability are used in quantifying potential benefits of spatially distributed nitrogen input. This technique, in combination with physical and chemical measurements, is utilized as a means of illustrating how the spatial statistical properties of nitrate leaching can be obtained for different scenarios of fixed and variable rate nitrogen applications.

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