Approximating the Critical String Measure Using Dynamically Triangulated Surfaces

Author(s):  
Dirk-Jan Smit
2021 ◽  
Author(s):  
Olaf Hellwig ◽  
Stefan Buske

<p>The polymetallic, hydrothermal deposit of the Freiberg mining district in the southeastern part of Germany is characterised by ore veins that are framed by Proterozoic orthogneiss. The ore veins consist mainly of quarz, sulfides, carbonates, barite and flourite, which are associated with silver, lead and tin. Today the Freiberg University of Mining and Technology is operating the shafts Reiche Zeche and Alte Elisabeth for research and teaching purposes with altogether 14 km of accessible underground galleries. The mine together with the most prominent geological structures of the central mining district are included in a 3D digital model, which is used in this study to study seismic acquisition geometries that can help to image the shallow as well as the deeper parts of the ore-bearing veins. These veins with dip angles between 40° and 85° are represented by triangulated surfaces in the digital geological model. In order to import these surfaces into our seismic finite-difference simulation code, they have to be converted into bodies with a certain thickness and specific elastic properties in a first step. In a second step, these bodies with their properties have to be discretized on a hexahedral finite-difference grid with dimensions of 1000 m by 1000 m in the horizontal direction and 500 m in the vertical direction. Sources and receiver lines are placed on the surface along roads near the mine. A Ricker wavelet with a central frequency of 50 Hz is used as the source signature at all excitation points. Beside the surface receivers, additional receivers are situated in accessible galleries of the mine at three different depth levels of 100 m, 150 m and 220 m below the surface. Since previous mining activities followed primarily the ore veins, there are only few pilot-headings that cut through longer gneiss sections. Only these positions surrounded by gneiss are suitable for imaging the ore veins. Based on this geometry, a synthetic seismic data set is generated with our explicit finite-difference time-stepping scheme, which solves the acoustic wave equation with second order accurate finite-difference operators in space and time. The scheme is parallelised using a decomposition of the spatial finite-difference grid into subdomains and Message Passing Interface for the exchange of the wavefields between neighbouring subdomains. The resulting synthetic seismic shot gathers are used as input for Kirchhoff prestack depth migration as well as Fresnel volume migration in order to image the ore veins. Only a top mute to remove the direct waves and a time-dependent gain to correct the amplitude decay due to the geometrical spreading are applied to the data before the migration. The combination of surface and in-mine acquisition helps to improve the image of the deeper parts of the dipping ore veins. Considering the limitations for placing receivers in the mine, Fresnel volume migration as a focusing version of Kirchhoff prestack depth migration helps to avoid migration artefacts caused by this sparse and limited acquisition geometry.</p>


1991 ◽  
Vol 5 (1) ◽  
pp. 85-102 ◽  
Author(s):  
Norman L. Jones ◽  
Stephen G. Wright

Geophysics ◽  
1996 ◽  
Vol 61 (5) ◽  
pp. 1499-1510 ◽  
Author(s):  
Jean Luc Guiziou ◽  
Jean Laurent Mallet ◽  
Raül Madariaga

The estimation of velocity macro‐models by seismic reflection tomography is studied in three‐dimensions. Inversion techniques based on the kinematics of seismic data require an appropriate parameterization of the geological macro‐model, in particular as far as the velocity field is concerned. The step toward structurally complex geological models is achieved by exploiting a new approach to 3-D depth modeling: GOCAD. The peculiarities inherent to GOCAD triangulated surfaces and its associated discrete smooth interpolator (DSI) have led to the development of original ray‐tracing techniques. By exploiting intensively the topology of the triangulated surfaces, these new algorithms make it possible to reach a good balance between accuracy and computation performance. To build a 3-D macro‐model estimation tool, ray‐tracing is then associated with a least‐squares inversion of depth parameters and velocity parameters from 3-D zero‐offset traveltimes and stacking velocities, or multi‐offset prestack traveltimes from 2-D seismic lines.


Author(s):  
Sascha Brandt ◽  
Matthias Fischer ◽  
Maria Gerges ◽  
Claudius Jähn ◽  
Jan Berssenbrügge

To detect errors or find potential for improvement during the CAD-supported development of a complex technical system like modern industrial machines, the system’s virtual prototype can be examined in virtual reality (VR) in the context of virtual design reviews. Besides exploring the static shape of the examined system, observing the machines’ mechanics (e.g., motor-driven mechanisms) and transport routes for the material transport (e.g., via conveyor belts or chains, or rail-based transport systems) can play an equally important role in such a review. In practice it is often the case, that the relevant information about transport routes, or kinematic properties is either not consequently modeled in the CAD data or is lost during conversion processes. To significantly reduce the manual effort and costs for creating animations of the machines complex behavior with such limited input data for a design review, we present a set of algorithms to automatically determine geometrical properties of machine parts based only on their triangulated surfaces. The algorithms allow to detect the course of transport systems, the orientation of objects in 3d space, rotation axes of cylindrical objects and holes, the number of tooth of gears, as well as the tooth spacing of toothed racks. We implemented the algorithms in the VR system PADrend and applied them to animate virtual prototypes of real machines.


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