The Implementation of Visualization Software of the Rapid 3D Apparent Physical Properties Inversion Method

2013 ◽  
Vol 734-737 ◽  
pp. 3026-3029
Author(s):  
Hai Xia Li ◽  
Hai Long Yu ◽  
Ping Chuan Zhang
Keyword(s):  
Physical Properties ◽  
Potential Field ◽  
Implementation Process ◽  
Inversion Method ◽  
Main Function ◽  
Dynamic Link Library ◽  
Software Interface ◽  
Visualization Software ◽  
Magnetic Inversion ◽  
Key Techniques

The main function of the application software of the rapid inversion method of 3D apparent physical properties, and the key techniques used to achieve software are described in this paper. The core modules of the software is apparent physical properties inversion which can achieve the 3D apparent density and the 3D apparent magnetic inversion calculation, in addition, the software provides data preprocessing, reduction to the pole, the potential field continuation and potential field cut function. In software implementation process, first, compiling the calculation program modules by Fortran90 language, and then combining with dynamic link library, multi-threading and Surfer automated call technology, we compiled the visualization software interface to realize the function of the new method by C, C + + language, under the C + + Builder6.0 environment.

The Method of Curvature Attribute applied in the Depth Inversion of the Geological Bodies Edge by Potential Field Data

2020 ◽  
Author(s):  
Jinlan Liu ◽  
Wanyin Wang ◽  
Shengqing Xiong
Keyword(s):  
Objective Function ◽  
Potential Field ◽  
Field Data ◽  
Small Scale ◽  
Inversion Method ◽  
Potential Field Data ◽  
Upward Continuation ◽  
Extraction Algorithm ◽  
Key Technologies ◽  
Key Techniques

<p>It is vital to quickly and effectively determine the extent and depth of geological body by using potential field data in gravity and magnetic survey. In this study, three key techniques studying the extent and depth of geological sources based on curvature attribute are studied: the optimal solutions to the objective function, the edge of geological bodies and picking out solutions. Firstly, the optimal solution to the objective function is studied, that is, the key extraction algorithm about the curvature attribute. The Huber norm is introduced into the extraction algorithm of curvature attribute, which more accurately detect the depth of edge of the geological bodies. Secondly, the normalized vertical derivative of the total horizontal derivative (NVDR-THDR) technique is introduced into curvature attribute, which shows more continuous results about the edge position of the geological bodies and more sensitive to the small-scale tectonic structure. Finally, we study the way to pick out the inversion solution, that is, to solve the multi-solution equations in the inversion. The upward continuation of a certain height with strict physical significance was introduced into the inversion method, which was used to suppress the noise, and the final and actual inversion depth was equal to the inversion depth minus the height of upward continuation. And the average value of threshold limitation technology of the potential fields data was also introduced into this method. Using the two technologies, solutions of non-field source edge positions were eliminated, and make the inversion solutions closer to the actual situation. Through the above three key techniques, the accuracy, continuity and recognition to the small-scale structure of the inversion result are optimized. The theoretical models are used to verify the effectiveness of the above key technologies, the results show that the three key technologies have achieved good results, and the combined models are used to verify the effectiveness of the optimized inversion method. The measured aeromagnetic data were used to inversing the edge depth of the intrusive rock in a mining area, and the inversion results are in good agreement with the rock depth revealed by borehole.</p>

Magnetic inversion to recover the subsurface block structures based on L1 norm and total variation regularization

2021 ◽  
Author(s):  
Mitsuru Utsugi
Keyword(s):  
Total Variation ◽  
Magnetic Data ◽  
Preconditioned Conjugate Gradient ◽  
Inversion Method ◽  
Total Variation Regularization ◽  
Subsurface Structure ◽  
L1 Norm ◽  
Magnetic Inversion ◽  
Original Definition ◽  
Primal Dual

Summary This paper presents a new sparse inversion method based on L1 norm regularization for 3D magnetic data. In isolation, L1 norm regularization yields model elements which are unconstrained by the input data to be exactly zero, leading to a sparse model with compact and focused structure. Here, we complement the L1 norm with a penalty minimizing total variation, the L1 norm of the model gradients; it is expected that the sharp boundaries of the subsurface structure are not compromised by incorporating this penalty. Although this penalty is widely used in the geophysical inversion studies, it is often replaced by an alternative quadratic penalty to ease solution of the penalized inversion problem; in this study, the original definition of the total variation, i.e., form of the L1 norm of the model gradients, is used. To solve the problem with this combined penalty of L1 norm and total variation, this study introduces alternative direction method of multipliers (ADMM), which is a primal-dual optimization algorithm that solves convex penalized problems based on the optimization of an augmented Lagrange function. To improve the computational efficiency of the algorithm to make this method applicable to large-scale magnetic inverse problems, this study applies matrix compression using the wavelet transform and the preconditioned conjugate gradient method. The inversion method is applied to both synthetic tests and real data, the synthetic tests demonstrate that, when subsurface structure is blocky, it can be reproduced almost perfectly.

The Design and Implement of the Safety Production Management & Quality Trace System for Poultry

2013 ◽  
Vol 756-759 ◽  
pp. 1026-1030
Author(s):  
Xiang Jie Niu ◽  
Yan E Duan ◽  
Hua Li
Keyword(s):  
Agricultural Production ◽  
Production Management ◽  
Agricultural Products ◽  
Solid Base ◽  
Main Function ◽  
Quality And Safety ◽  
Bar Code ◽  
Management Quality ◽  
Safety Production ◽  
Key Techniques

Traceable system, which is as an effective way to control the quality and safety of agricultural products receives increasingly attention globally. Using the poultry as the research object, the paper builds a safety production management and quality trace system in order to achieve the goal of quality trace. This paper designs the process to fulfill the main function, discusses the key techniques and develops the safety production management and quality trace system. The system has several functions-producer management, production alert, bar code print, sending messages and quality trace for consumers. The results indicate that this system can increase the level of production management, enhance the awareness of agricultural production for the consumers, which builds solid base for poultry full process trace.

Gravity and magnetic inversion with minimization of a specific functional

Geophysics ◽  
1984 ◽  
Vol 49 (8) ◽  
pp. 1354-1360 ◽  
Author(s):  
A. Guillen ◽  
V. Menichetti
Keyword(s):  
Physical Properties ◽  
Magnetic Data ◽  
Constant Density ◽  
Minimum Volume ◽  
Data Inversion ◽  
Gravity And Magnetic ◽  
Magnetic Inversion ◽  
Line Passing ◽  
Susceptibility Contrast ◽  
The Moment

The nonuniqueness of gravity or magnetic data inversion is well known. In order to remove ambiguity, some authors have sought solutions minimizing a functional describing geometrical or physical properties. Last and Kubik (1983), in particular, developed a method explaining the observed anomaly by structures of minimum volume. In this method the domain where anomalous sources are searched is divided into elementary prisms of a constant density or susceptibility contrast. Each elementary contrast is allowed to vary individually. Thus a contrast distribution is computed. The search for this kind of solution leads in general to geologically more appropriate bodies, but exceptions do occur. In this paper, the technique is broadened to include the search for solutions minimizing the moment of inertia with respect to the center of gravity or with respect to a given dip line passing through it. The resulting structures are both deeper and more compact, precisely as is required in specific cases. Theoretical and actual examples illustrate this flexible inversion technique.

scholarly journals Geostatistical FDEM inversion: a three-dimensional real case application

2021 ◽  
Author(s):  
Leonardo Azevedo ◽  
João Narciso ◽  
Ellen Van De Vijver
Keyword(s):  
Spatial Distribution ◽  
Physical Properties ◽  
Three Dimensional ◽  
Real Case ◽  
Small Scale ◽  
Inversion Method ◽  
Two Dimensional ◽  
Data Set ◽  
Near Surface ◽  
Direct Observations

<p>The near surface is a complex and often highly heterogeneous system as its current status results from interacting processes of both natural and anthropogenic origin. Effective sustainable management and land use planning, especially in urban environments, demands high-resolution subsurface property models enabling to capture small-scale processes of interest. The modelling methods based only on discrete direct observations from conventional invasive sampling techniques have limitations with respect to capturing the spatial variability of these systems. Near-surface geophysical surveys are emerging as powerful techniques to provide indirect measurements of subsurface properties. Their integration with direct observations has the potential for better predicting the spatial distribution of the subsurface physical properties of interest and capture the heterogeneities of the near-surface systems.</p><p>Within the most common geophysical techniques, frequency-domain electromagnetic (FDEM) induction methods have demonstrated their potential and efficiency to characterize heterogeneous deposits due to their simultaneous sensitivity to electrical conductivity (EC) and magnetic susceptibility (MS). The inverse modelling of FDEM data based on geostatistical techniques allows to go beyond conventional analyses of FDEM data. This geostatistical FDEM inversion method uses stochastic sequential simulation and co-simulation to perturbate the model parameter space and the corresponding FDEM forward model solutions, including both the synthetic FDEM responses and their sensitivity to changes on the physical properties of interest. A stochastic optimization driven by the misfit between true and synthetic FDEM data is applied to iterative towards a final subsurface model. This method not only improve the confidence of the obtained EC and MS inverted models but also allows to quantify the uncertainty related to them. Furthermore, taking into account spatial correlations enables more accurate prediction of the spatial distribution of subsurface properties and a more realistic reconstruction of small-scale spatial variations, even when considering highly heterogeneous near surface systems. Moreover, a main advantage of this iterative geostatistical FDEM inversion method is its ability to flexibly integrate data with different resolution in the same framework.</p><p>In this work, we apply this iterative geostatistical FDEM inversion technique, which has already been successfully demonstrated for one- and two-dimensional applications, to invert a real case FDEM data set in three dimensions. The FDEM survey data set was collected on a site located near Knowlton (Dorset, UK), which is geologically characterized by Cretaceous chalk overlain by Quaternary siliciclastic sand deposits. The subsurface at the site is known to contain several archaeological features, which produces strong local in-phase anomalies in the FDEM survey data. We discuss the particular challenges involved in the three-dimensional application of the inversion method to a real case data set and compare our results against previously obtained ones for one- and two-dimensional approximations.</p>

Generalized radial inversion of 2D potential‐field data

Geophysics ◽  
2004 ◽  
Vol 69 (6) ◽  
pp. 1405-1413 ◽  
Author(s):  
João B. C. Silva ◽  
Valéria C. F. Barbosa
Keyword(s):  
Potential Field ◽  
Field Data ◽  
Physical Property ◽  
Quantitative Information ◽  
Fixed Number ◽  
Polar Coordinates ◽  
Inversion Method ◽  
Potential Field Data ◽  
Convexity Constraint ◽  
Interpretation Model

We introduce a new 2D method for inverting potential‐field data with model constraints designed by the interpreter. Our method uses an interpretation model consisting of a source with polygonal cross‐section whose vertices are described by polar coordinates with an origininside the source. With this coordinate system, constraints in an inversion are easier to develop and apply. Our inversion method assumes a known physical property contrast for the source and estimates the radii associated with the polygon vertices for a fixed number of equally spaced angles from 0° to 360°. A wide variety of constraints may be used to stabilize the solutions by introducing information about the source shape. The method recovers stable solutions whose shapes range from almost circular or pear‐shaped to elongated in one or more directions. The convexity constraint applied to the source shape, despite requiring no quantitative information, is more versatile than the other constraints. The convexity constraint efficiently recovers source geometries that are either isometric or elongated in one direction.

The Design and Implementation of Online Exam System

2014 ◽  
Vol 687-691 ◽  
pp. 2506-2509 ◽  
Author(s):  
Lei Liu ◽  
Hui Shi ◽  
Rui Zhai
Keyword(s):  
Scoring Function ◽  
Implementation Process ◽  
Sql Server ◽  
Main Function ◽  
C Language ◽  
Database Technology ◽  
Design Idea ◽  
Exam System ◽  
Sql Server 2005 ◽  
Automatic Scoring

The online exam system is developed by C# language tool, .NET technology and SQL Server 2005 database technology in this paper. And the main function of the system, design idea and the implementation process was expounded also. The randomly generated test and automatic scoring function can be supported by this system. After using test, the performance of this system was stable ,and the function was complete. The paperless and standardized examination was achieved truly.

Design of Reconfigurable Computer Software Platform

2015 ◽  
Vol 713-715 ◽  
pp. 2241-2245
Author(s):  
Shi Yao Song
Keyword(s):  
Computer Software ◽  
Frame Structure ◽  
Software Platform ◽  
Dynamic Link Library ◽  
Software Interface ◽  
Development Tool ◽  
Theoretical Support ◽  
Business Component ◽  
Interface Function ◽  
Reconfigurable Structures

This paper takes reconfigurable technology and platform as well as component framework thought as the theoretical support, combines with Lua script and Dynamic-link library (DLL) technology and takes VC++ as development tool to construct a universal reconfigurable computer software platform based on wxWidgets framework library. The design of this platform itself is a main frame structure, and it can realize software interface, function, arithmetic and the reconfigurable structures from other aspects by the combination of different modules. This platform has the characteristics of practicability and foresight, and it also provides a new approach and method for user to customize business component quickly, so as to realize specific needs.

Multiple level-set joint inversion of traveltime and gravity data with application to ore delineation: A synthetic study

Geophysics ◽  
2018 ◽  
Vol 83 (1) ◽  
pp. R13-R30 ◽  
Author(s):  
Polina Zheglova ◽  
Peter G. Lelièvre ◽  
Colin G. Farquharson
Keyword(s):  
Physical Properties ◽  
Level Set Method ◽  
Level Set ◽  
Joint Inversion ◽  
Gravity Data ◽  
Level Set Methods ◽  
Physical Property ◽  
Magnetic Data ◽  
Inversion Method ◽  
Multiple Level

We have developed a multiple level-set method for simultaneous inversion of gravity and seismic traveltime data. The method recovers the boundaries between regions with distinct physical properties assumed constant and known, creating structurally consistent models of two subsurface properties: P-wave velocity and density. In single level-set methods, only two rock units can be considered: background and inclusion. Such methods have been applied to examples representing various geophysical scenarios, including in the context of joint inversion. In multiple level-set methods, several units can be considered, which make them far more applicable to real earth scenarios. Recently, a multiple level-set method has been proposed for inversion of magnetic data. We extend the multiple level-set formulation to joint inversion of gravity and traveltime data, improving upon previous work, and we investigate applicability of such an inversion method in ore delineation. In mineral exploration environments, traditional seismic imaging and inversion methods are challenging because of the small target size and the specific physical property contrasts involved. First-arrival seismic traveltime and gravity data complement each other, and we found that joint multiple level-set inversion is more beneficial than separate inversions, especially with limited data and slow targets. Our method is more robust than the joint inversion method based on clustering of physical properties in recovery of piecewise homogeneous models not well-constrained by the data. To justify the known property assumption, we found the degree of robustness of the multiple level-set joint inversion to uncertainties arising from incomplete knowledge of small-scale subsurface physical property variations and target composition.

Potential‐field inversion: Choosing the appropriate technique to solve a geologic problem

Geophysics ◽  
2001 ◽  
Vol 66 (2) ◽  
pp. 511-520 ◽  
Author(s):  
João B. C. Silva ◽  
Walter E. Medeiros ◽  
Valéria C. F. Barbosa
Keyword(s):  
Potential Field ◽  
Sedimentary Basin ◽  
Stable Solution ◽  
Physical Property ◽  
Parameter Estimate ◽  
Thickness Variation ◽  
Inversion Method ◽  
Parameter Estimates ◽  
Lower And Upper Bounds ◽  
Geological Setting

To produce a unique and stable solution in potential‐field interpretation, an inversion method must introduce particular constraints. These constraints will inevitably restrict the type of geological setting where the method may be applied. We present a nonmathematical overview of most stabilizing constraints used in inversion methods. Our purpose is to demonstrate that the inversion results are valuable only if the mathematical stabilizing constraints are translated from the geological setting. We identify five basic types of constraints: (1) lower and upper bounds of parameter estimates; (2) proximity of a parameter estimate to a specified value; (3) proximity between pairs of parameter estimates; (4) concentration of the anomalous source about a geometrical element such as an axis; and (5) source compactness. In practice, if used in isolation, constraints (1), (2), (4), and (5) will not produce geologically meaningful results, regardless of the geological setting of the interpretation area. Constraint (3) may produce geologically meaningful results if the anomalous source has a spatially smooth attribute such as the physical property. We illustrate that constraints 1–4, if used in isolation, cannot delineate the geometry of a simulated sill intruded into a sedimentary basin. The basic constraints may (and should) be combined in inversion to produce geologically meaningful results. We present two examples of effective constraint combination: (1) proximity to a specific value and mass concentration about an axis (used to delineate the thickness variation of a sill intruded in a sedimentary basin) and (2) inequality, proximity of a parameter estimate to a specified value, and proximity between pairs of parameter estimates (used to map a discontinuous basement relief). Usually, the stabilizing constraints are too restrictive to hold at all points of a given geological environment. In this case, we use different constraints in different sub‐areas. Each constraint is based on its compatibility with the actual geology of the subarea.

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