Evale rpidamente y pruebe grandes conjuntos de datos en tiempo real, ejecutando numerosos filtros y procesos Usted puede alinear espacialmente todos los datos con la proyeccin de coordenadas instantneas.
Cada proyecto es nico. Registre y automatice tareas de procesamiento de datos repetitivas y complejas. Agilice los flujos de trabajo del equipo y ahorre tiempo, para que pueda concentrarse en la generacin de conocimientos.
Seleccione entre ms de 25 Oasis montaj extensiones para procesar, visualizar, ejecutar QA/QC, e interpretar datos especializados, incluyendo estudios terrestres y areos/UAV, magnticos y de gravedad, resistividad, radiometra, geoqumica y geologa.
Importe y trabaje con ms de 50 tipos de datos y formatos soportados Almacene eficientemente grandes conjuntos de datos geocientficos en bases de datos de alto rendimiento para mejorar el acceso a los datos.
Tiene datos en latitud y longitud, y en este y norte? Oasis montaj alinea automticamente la informacin geoespacial cuando se superponen los datos, sin importar el formato. Re-proyecta los datos en otro sistema de coordenadas en tiempo real para que siempre sepa que est en el lugar correcto.
Visualice, manipule y analice datos de geologa, geoqumica y geofsica con potentes capacidades de modelamiento 2D y 3D. Puede crear rpidamente modelos detallados para visualizar y comunicar claramente sus ideas a otros equipos y partes interesadas.
Cree mapas integrados utilizando geologa, geofsica, geoqumica, datos SIG e imgenes satelitales para aumentar su comprensin del subsuelo. Como tambin, puede crear grids, aadir contornos, datos de geofsica y datos de deteccin remota para mejorar sus interpretaciones y guiar la toma de decisiones.
Interpole los datos para producir grids utilizando mtodo de curvatura mnima, bidireccionales, tendencia, gradiente, tinning o de krigaje. Produzca rpidamente voxels en 3D, usando algoritmos de interpolacin directa, IDW o krigaje optimizados en grandes volmenes de datos geocientificos.
Combine con rapidez y precisin los grids geofsicos independiente del tamao de la clula, la proyeccin o el tipo de malla con dos mtodos avanzados. Un mtodo de mezcla para fusionar los grids y un mtodo de sutura para definir un camino de unin.
Encuentre, despliegue y extraiga datos geoespaciales de una variedad de servidores de datos para una investigacin completa y una mejor toma de decisiones. Busque en los servidores internos y pblicos, incluyendo los servidores DAP y WMS de Geosoft sin salir del Oasis montaj.
Haga clic en algn punto de un mapa e inmediatamente visualice de forma exacta el punto de datos dentro de la base de datos, perfil, grfico, mapa, modelo y/o vista de datos en una, dos y tres dimensiones para hacer ms eficiente el QA/QC, la localizacin de anomalas y la seleccin de objetivos.
Conecte fcilmente Oasis montaj con GIS o aplicaciones de modelado especializadas con los plug-ins disponibles y las opciones de conversin de datos. La tecnologa de Esri est incorporada para asegurar una creacin perfecta.
View, manipulate, and analyse geophysics, geology and geochemistry, and data with powerful 2D and 3D modelling capabilities. Quickly create detailed models to visualise and clearly communicate your insights to other teams and stakeholders.
Create integrated maps using geology, geophysics, geochemistry, GIS data, and satellite imagery to increase your subsurface understanding. Create grids, add contours, geophysics, and remote sensing data to enhance your interpretations and guide decision-making.
Interpolate data to produce grids using minimum curvature, bi-directional, multi-trend, direct, tinning, or kriging gridding routines. Quickly produce 3D grids (voxels), using direct gridding, IDW, or kriging algorithms optimised for large-volume geoscience data.
Rapidly and accurately merge geophysical grids regardless of cell size, projection, or grid type with two advanced methods. A blending method for smoothly merging grids and a suturing method for manually defining the join path.
Find, display, and extract geospatial data from a variety of data servers for complete investigation and informed decision making. Search internal as well as public servers, including Geosoft DAP and WMS servers without leaving Oasis montaj.
Click on a point on a map and immediately see the exact data point within the database, profile, graph, map, model and/or data view in one, two and three dimensions to make QA/QC, anomaly location, and target selection more efficient.
Oasis montaj provides a powerful suite of modelling and analysis tools for advanced understanding of the Earth's subsurface and subsea environments. Process, map, QA and interpret all your data, including ground and airborne survey geophysics, geochemistry and geology, within one dynamic, 3D environment.
This article is not a comprehensive guide to magnetic data processing using Geosoft Inc. Oasis montaj. Montaj is as big as the universe, and having used it almost every day for the past five years, I know 10% of its functionality or even less.
The power of the Oasis montaj is also its weak point. New montaj users spend much time bogged down in countless menus, commands, processing options, and settings. I hope this article will help beginners solve similar problems - processing aeromagnetic data for UXO (unexploded ordnance), tramp metals, underground utilities, archeology, etc.
Data was gathered using a MagNIMBUS magnetometer over the SENSYS - Magnetometers & Survey Solutions test range. Again, I would like to thank SENSYS for allowing us to test our magnetometer on their test range.
More or less, the same sequence can be used for any magnetometer data available as a CSV file with coordinates (longitude and latitude) and total magnetic field value. For vector magnetometers, only one additional step is required to calculate the total field from the x, y, and z components.
Note. I have intentionally used only the features available in the Oasis montaj base license (called "Oasis montaj Essentials"). Additional license modules will add many useful features, but the basic license is sufficient for most real-world use cases.
Note 2: I am not a geophysicist. I'm a software developer (in the past :-), and many of the advanced processing features in Oasis montaj are too complex for me. Therefore, I try to use simple and understandable methods.
Note 3: The article contains > 110 steps/screenshots. It looks like a very long and complicated procedure, but data processing takes me only 10 minutes. Manually filling out the target list takes longer, naturally in proportion to the number of anomalies detected. But in any case, it takes much less time than excavating targets... It's also good that most of the repetitive operations can be scripted, but this could be the topic of a separate article.
Our source data has latitude/longitude coordinates for every magnetometer measurement. Montaj requires a projected coordinate system for further processing. Here, I'll use UTM - quite a popular global projected coordinate system. As I often don't know the UTM zone for a particular survey area, I use "mangomap" site to find the UTM zone using the address or lat/lon coordinates.
The presence of high-frequency noise is typical for airborne (drone-mounted) magnetometers due to the proximity of the drone's motors and electronics, so the first step in processing is usually to remove this noise.
You will see a graph of the filtered data. Here, you can experiment with different low-pass filter cutoff values to see how they work. 100 is a very reasonable value for this data set collected at a sampling rate of 500 Hz.
Data in this dataset is geotagged using a coordinates stream from the GNSS receiver of the drone. As data comes a long way from the GNSS receiver through autopilot, its extensibility port, SPH Engineering's SkyHub onboard computer, will always be some offset between moments when the magnetometer outputs its measurements and when coordinates will come to the data logging code. Magnetometer data also comes through a few hardware/software interfaces inside of the system.
Another problem is the different average levels of magnetic field measurements in different subregions of our survey area. This is not a technical problem with the sensor; it is a normal situation - the surrounding magnetic field (not anomalies from our objects of interest) may have a gradient.
We will remove both problems using one simple method - calculating the running average (median) value in the moving window and next calculating the difference between the median average and the current value. That will give us the amplitude of localized magnetic anomalies relative to the median value, making small anomalies contrast and removing the surrounding magnetic field gradient.
The channel Anomaly will be added to the database and populated with calculated values. You can display a graph (right-click on the channel name and select Show Profile) and compare it with the original magnetometer measurements. The Anomaly value plot is flattened, with local anomalies (significantly shorter than the length of our 5000-measurement window) clearly visible.
Oasis montaj supports the concept of "lines" when storing data. After import, the file's entire contents are saved in one line, which is inconvenient. For example, plotting a data value will be displayed for the entire data file, forcing you to constantly zoom in/out when analyzing/interpreting the data. Here, we will split the files into separate lines.
You may notice that the Analytical Signal grid appears cluttered with many weak and very small anomalies. This is because the default palette is optimized to make even minor anomalies visible in the presence of much more intense ones.
For airborne (drone-mounted) magnetometers, there is little point in displaying very weak anomalies with amplitudes below the system noise floor, so we can adjust the palette to make the data presentation cleaner and more contrasty.
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