This very popular software, developped by M.H.Loke, uses the method involving the Sasaki minimum squares inversion (1992) to produce a 2D sub-soil model starting from the data.
#Nonlinear inversion res2dinv software
Is the code available for other researchers to use? Please add a section with code availability after the conclusion. Download GEOTOMO - Version Res2dinv - Data Inversion Software - Brochure. As a minimum, this should be include in a discussion.ġ0.Ě discussion should be added in the manuscript with the answer to comment 5 from reviewer 1 (version 3)ġ1. If you IP results are not satisfying due to low chargeability (as you write in your answer), then I suggest that you find another example. This was also pointed out by a previous reviewer. You try to sell the algorithm for handling IP data, so you need to show a section with the phase results. So, a figure with the recorded data (resistivity and phase) and the forward response (resistivity and phase) of the final inversion model. It is difficult to access the inversion results, when the resistivity is unknown.ī.Ěs commented by previous review, you need to show some data and data fits. What is the resistivity of the two cavities.
I think the experiment is missing some information in order to be acceptable:Ī. Figure 11: Please elaborate the figure text. , Line 17, “algorithm” should be “algorithms”ħ.ğigure 8: What is the difference between blue and red dots? If there is no difference, I suggest that you use the same color.Ĩ. I guess you are referring to Figure 8? Maybe just “data points”?Ħ. , Line 1: Reference missing for Res2DInv.ĥ. Why? What to you refer to here? Reference missing.Ĥ. : “SSIP technology has a certain degree of noise immunity”.
#Nonlinear inversion res2dinv full
The programs offer a simple workflow from data import to inversion and visualization, while still offering full control over inversion parameters for advanced users. The resolution requirements for these two discretizations are. Res2Dinv and Res3Dinv are a powerful software package for inversion of 2D and 3D ERT (DC) and IP data. 2018 is missing from the reference list.ģ. Purpose: Nonlinear inversion (NLI) in MR elastography requires discretization of the displacement field for a finite element (FE) solution of the 'forward problem', and discretization of the unknown mechanical property field for the iterative solution of the 'inverse problem'.
It should be alphabetic and the year should be at the end. Suggestions for revision or reasons for rejectionġ.
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