montaj GeophysicsThe montaj Geophysics software extension provides a range of filters and statistical tools for working with large-volume geophysical data.
The 1D FFT Filter enables you to apply a variety of Fourier domain filters to one-dimensional (line) potential field and other data. A variety of geostatistical tools provide the ability for summary and advanced statistics, including histogram, scatter and triplot analysis, and the ability to subset data based on code or map group classification. Use montaj Geophysics to:
New in release 7.2Geophysical Sections  Geophysical Sections Watch this video to see how to create sections from curved or crooked survey lines.
We have added new support for sections to our montaj Geophysics extension. Explorers can now create sections from survey lines that contain bends or curves. You can display these curved or crooked sections in 2D or 3D views as either grids or pixel plots. This new section support provides accurate geospatial representation by ensuring that data are correctly positioned along the survey line. These sections support full data linking between all displays of the data including: plan maps, sections and 3D views. For more information, see the support section for a list of answers to common questions about creating sections. Sample a Voxel to GDB locationsThe new Sample a Voxel capability allows you to query the values in a Geosoft voxel using a Geosoft databases with X, Y, Z coordinates in points or arrays. This capability is useful in sampling a voxel to an existing survey line, or can be used to add a new channel containing voxel values to a database that contains a different data type (e.g. combining data from different inversion models). 1D-FFT Filtering: Constrained Linear Prediction (CLP) expansion optionWe have added a Constrained Linear Prediction (CLP) extrapolation method to our 1D-FFT expansion routine. It is useful in minimizing edge effects when working with data containing systematic high frequency interference. Find out more: How Constrained Linear Prediction works To perform FFT filtering the data must be periodic and free of dummies. To ensure this requirement, the Maximum Entropy Prediction (MEP) method has been the default extrapolation method. After filtering, the data is masked back to its original coverage. Maximum Entropy Prediction calculates a series of coefficients based on adjacent segments of real data, then uses these coefficients to recursively extrapolate the data. MEP performs very well for data of geophysical nature. In the occasional situation where the data is collected near a high power source, or in the vicinity of a propeller in operation, it becomes contaminated with systematic high frequency interference. When processing such data, the user may observe edge effects. The edge effect is not due to the filtering process but rather to the extrapolation method used. To resolve this specific artifact, Geosoft has introduced the Constrained Linear Prediction (CLP) extrapolation method in Oasis montaj version 7.2. Like Maximum Entropy Prediction, Constrained Linear Prediction calculates a series of coefficients based on adjacent segments of real data, the Linear Prediction algorithm then uses these coefficients to recursively extrapolate the data. The critical difference is that in order to ensure the integrity of the data and control offshoots, the Linear Prediction coefficients are constrained to account for the systematic short wavelengths in the data. This very constrain causes a stabilizing effect.
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