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| geoscene3d:qc_and_statistics:3dgridhistogram [2021/07/16 10:52] – sbr_i-gis.dk | geoscene3d:qc_and_statistics:3dgridhistogram [2021/07/29 14:52] (current) – external edit 127.0.0.1 | ||
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| ====== 3D Grid Histogram ====== | ====== 3D Grid Histogram ====== | ||
| - | //This tutorial shows how to quality check data by making histograms. The histogram can be used as a tool to gain a data overview before model building but the histogram is also useful for checking correct correlation between different datasets. Thus, it is a useful tool for analyzation both before and after model building. | + | This tutorial shows how to quality check data by making histograms. The histogram can be used as a tool to gain a data overview before model building but the histogram is also useful for checking correct correlation between different datasets. Thus, it is a useful tool for analyzation both before and after model building. |
| **__Requirements: | **__Requirements: | ||
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| - | ==== Step 1. Floating value 3D Grid histogram ==== | + | ==== Option |
| - | * The biggest | + | * The trends of a dataset can be visualized and analyzed |
| * Also, 1D models can be interpolated into 3D grids with the aim to check if data are corresponding e.g. to resistivities. | * Also, 1D models can be interpolated into 3D grids with the aim to check if data are corresponding e.g. to resistivities. | ||
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| - | 1. "QC and Statistics" | + | 1. "QC and Statistics" |
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| - | 2. You can choose the surfaces for where the calculation is needed by clicking the upper and lower constraint | + | 2. You can choose the surfaces for where the calculation is needed by clicking the upper and lower constraint |
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| + | * It can also be avoided to pick constraints if a histogram of the entire dataset is wanted. | ||
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| * In the following picure the axis values has been fitted to the datapoints. | * In the following picure the axis values has been fitted to the datapoints. | ||
| - | * Notice how the bin size can be edited. Here, e.g. there are 65.000 voxels in the resistivity interval [30;40]. | + | * Notice how the x-axis |
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| - | ==== Step 2. Discrete value 3D Grid histogram ==== | + | ==== Option |
| * Discrete values e.g. chemistry values or lithologies. | * Discrete values e.g. chemistry values or lithologies. | ||
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| 1. Repeat step 1.1. but choose " | 1. Repeat step 1.1. but choose " | ||
| - | 2. Pick the discrete | + | 2. Select a discrete |
| 3. Repeat step 1.2. for constraints. | 3. Repeat step 1.2. for constraints. | ||
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| - | 4. To show the lithology legend go to Object Manager | + | 4. To show the lithology legend go to Object Manager |
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| - | ==== Step 3. Combination of floating and discrete values ==== | + | ==== Option |
| - | * This tool is used to check e.g. if your resistivity data matches | + | * This tool is used to check e.g. if your resistivity data matches lithology. |
| * The resistivities are held together with the lithology grid at the same voxel position. | * The resistivities are held together with the lithology grid at the same voxel position. | ||
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| - | * A histogram | + | * A histogram with only one chosen lithology held together with resistivites. |
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| - | ==== Step 4. Results ==== | ||
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| - | * To improve the details of the resistivity for the chosen lithology, the bin size can be reduced e.g. from 10 to 2. | ||
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| - | * In previous picture the resistivities are mainly focused around [20;100] ohm*m whereas almost no datapoints are registered after about 150ohm*m. | ||
| - | * The lithology ML (glacial morraine clay) can be expected to withhold low resistivity values and the histogram confirms it. Although, it is distinct that the histogram holds two prominent peaks. | ||
| - | * This peaks need attention. If the resistivity values were abnormally high for ML then the lithology could contain some errors and vice versa the resistivity. It could also mean that the two different datasets are not fully synced. | ||