Leapfrog geo 40 tutorial
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Figure 3 shows how the functions compare for the different alpha values with a nugget of 8, sill of 28 and range of 5000. Leapfrog Geo is a powerful and popular 3D geological software for exploration and mining. Figure 5: Screenshot of the variogram tab for a Leapfrog Mining interpolant The range in Leapfrog Mining is 300, alpha is 3 and so the scale factor is 1. For subsequent tutorials, you will import data and use it to build models. This software is widely used by geologists explorers and there are also some products that are made specifically to handle the mining industry, groundwater contamination, and geothermal energy. The company offers Leapfrog Geo, an implicit geological modeling solution for the mining industry; Leapfrog Hydro for use in various stages of hydrogeological projects from water resource evaluation to modeling for contaminated site investigations and risk assessment; Leapfrog Geothermal for use in every stage of a project from initial proof-of-concept to reservoir management; and Leapfrog Mining, a toolbox approach to 3D geological modeling for Leapfrog experts who want the control of specific applications, such as vein modeling and structural folding.

NextIdeally this value should not be set finer than the errors in the data. In contrast, the spheroidal interpolant function has an asymptotic sill. This definition is consistent with a common geostatistical method for handing asymptotic sills. This simple interpolant can then be used for determining the correct trend for the interpolant and whether compositing or a value transform may be required. Using the spheroidal interpolant function The spherical variogram used in geostatistics has a fixed range beyond which the value is the constant sill. This can be thought of as specifying the degree of the expected underlying trend of the data and determines the behaviour a long way away from the data.

NextIn geostatistical modelling a finite range spherical variogram is used to model these cases. Leapfrog is a way of processing, viewing and interpreting completely new hole data. In common cases, including when modelling most metallic ores, there is a finite range beyond which the influence of the data should fall to zero. The tutorials take two to four hours to complete and will get you to the point where you can start processing your own data. Furthermore, if there is no nugget value, then the function is multi-scale. It can only be set to a value of 3, 5, 7 or 9. Well, I am not going to write some fancy tutorial here.

Software Leapfrog ini banyak digunakan oleh para ahli geologi eksplorasi selain itu juga ada beberapa produk yang dibuat khusus untuk menangani industri pertambangan, pencemaran air tanah, dan energi panas bumi. The spheroidal interpolant function The extrapolation of the linear interpolant function at large distances is often unrealistic. In this case the value at the range is the sill as can be seen in Figure 8. Leapfrog Geo Tutorials Work through the Leapfrog Geo Tutorials, which introduce basic concepts in Leapfrog Geo. The function on the left has nugget of 3 and sill of 10, while the one on the right has a nugget of 9 and a sill of 30. A new, interactive Stereonet tool, is a major new component of Leapfrog Geo 4. After this, an appropriate interpolation function can be specified.

NextIf you scale the interpolant function by a constant value, then the interpolant and any evaluations of it will be unchanged. It is the nugget to sill ratio that determines the shape of the interpolant function, so multiplying them both by the same number will give an identical interpolant. At distances above the range this behaviour is reversed, as seen in the inset graph. We will learn this program step by step. The nature of this relationship means that the interpolant function is equivalent to the used in geostatistical modelling. On creating an interpolant, Leapfrog Geo provides a good default estimate for the accuracy by examining the distribution of the data values. Its suite of products enables geologists to generate geological models in a real 3D environment through the use of implicit modeling.

NextIt also makes it more difficult to describe the interpolant in simple terms that can be compared with more traditional geostatistical methods. Selections and edits to the stereonet are automatically represented in the 3D scene to give a broader perspective and aid understanding. The linear interpolant function The base linear interpolant function is multi-scale. Figure1: Annotated screenshot of the Interpolant tab on the edit dialog Key parameters All interpolant functions pass through or close to two points defined by three common parameters. Figure 7 shows an annotated screenshot of the function graph for a linear interpolant function.

NextThis means that the interpolant is not sensitive to the scale of the input data. Figure 4 shows how the functions compare for the different alpha values with the same parameters as the previous image. However, as the linear interpolant function is multi-scale and quick to evaluate, it can be used to build an initial interpolant to visualise the data trends. A new Form Interpolant tool automatically creates surfaces from structural measurements. In the future, we will look at exposing more information about how the resolution affects the number of triangles in Leapfrog Geo. As well as standard surface input data, structural surfaces can use non-contacting structural data to influence and guide the overall geometry. Bedding data from pit face-mapping, downhole measurements and surface mapping can be combined together with drilling lithology contact data and surface contact mapping.

In practical terms this means the Leapfrog Mining spheroidal interpolant functions are very close to the spherical variogram near the origin, but do not approximate it so well beyond the range. As explained in the , the interpolant functions indicate how the function values are expected to vary as the distance between points increases. Usually it makes sense to use the estimated range provided when the interpolant in Leapfrog Geo is created. They are the linear interpolant function and the spheroidal interpolant function. The effects of changing the parameters can be seen in real-time by looking at the embedded graph on the Interpolant tab Figure 1.

NextDownload Tutorial Leapfrog Geo v4. For larger values of the alpha parameter a more complex approximating function is used. Thank god you will find nevertheless this kind of web sites for the net. The spheroidal interpolant function uses the same parameters in both Leapfrog products, but the range parameter is defined differently. I think thats for the introduction. Even Micromine has special module that utilize the Leapfrog modelling. The interpolant value at the Leapfrog Geo range should be 96% of the sill.

NextAlthough, unlike the spheroidal interpolant function, the linear interpolant function does not have a range in a traditional geostatistics manner. The results will be the same in Leapfrog Geo no matter what values are used for the range and sill. Unfortunately, most grade data is not well interpolated using a linear interpolant function. If you scale the locations of the input data by a factor, then the final interpolant will be spatially scaled by the same factor. Again, it is the best approximation to the spherical variogram.

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