Professional – Can utilize up to 256 GB RAM. Starter – Limited to 1000 electrodes and 5 iterations for 3D inversion, unlimited 2D inversion.īasic – Limited to utilizing 8 GB RAM and 1.6 million modelling grid nodes. Borehole, floating and underwater electrode arrays are also supported.Optimised Qusi-Newton least-squares method (for large datasets).Finite element and Finite Difference models. Prices (EURO) - valid from 01-01-2021 to 01-01-2022 Aarhus SPIA modules Commercial/Government Academic.
#Res2dinv price software#
The software has a number of features for optimising the least-squares routine for faster completion on large datasets. We design and manufacture geophysical instruments. In addition, these data are available in a format compatible with the RES2DINV resistivity inversion software. The user must have software capable of uncompressing the archive.
#Res2dinv price zip#
RES3DINV is capable of inverting 3D apparent resistivity volumes measured using a regular grid of surface electrodes and is a powerful tool for resoling complex buried structures. What hardware or software do I need in order to use the data set The data are provided in a zip compressed file. The software package is fully automated and advises the user on what modal and inversion parameters are applicable for the dataset, or how parameters should be adjusted.Ī least-squares routine is used to perform the inversion and RES2DINV permits the user to adjust the style of the inversion routine as well as key parameters like the dampening factor. RES2DINV is one of the most common inversions packages for calculating 2D Resistivity and Chargeability models. modeling of geoelectrical section Number of the resistivity and IP inversion algorithms. Resistivity model created using RES2DINV. In order to interpret variations in the electrical properties, and create a ground modal, it is necessary to mathematically calculate the subsurface conditions required to produce an equivalent dataset to the one recorded by the instrument- this is called inversion. The recorded Apparent Resistivity is represented as a point measurement in the dataset. As a result the each resistivity measurement represents the bulk resistive properties of the ground- referred to as the Apparent Resistivity. Resistivity measurements rely on expanding the electrode separation in order to achieve ever deeper measurements, leading to a larger volume of the subsurface material being sampled for each successive depth level.