2 edition of **inversion of two-dimensional resistivity data** found in the catalog.

inversion of two-dimensional resistivity data

M. H. Loke

- 213 Want to read
- 5 Currently reading

Published
**1994**
by University of Birmingham in Birmingham
.

Written in English

**Edition Notes**

Thesis (Ph.D) - University of Birmingham, School of Earth Sciences.

Statement | by Meng Heng Loke. |

ID Numbers | |
---|---|

Open Library | OL21124058M |

Electrical resistivity surveys map the subsurface structure by making electrical measurements near the ground surface. An electric current is injected into the ground through two electrodes and the voltage difference is measured between two other electrodes (Figure 1a).The true subsurface resistivity can be estimated by making the measurements of potential . A robust data inversion option is also available to reduce the effect of noisy data points. Resistivity information from borehole and other sources can also be included to constrain the inversion process. The complex resistivity method (Kenma, A., Binley, A., Ramirez, A. and Daily, W., Complex resistivity tomography for environmental.

such, the IP and DC resistivity problems are intimately linked, and the inversion of IP data is a two-step process. In the first stage, the DC potentials are inverted to recover the background conductivity (J" b: The second step accepts (J" b as the true conductivity of the medium and attempts to find a chargeability that satisfies the data. Three‐dimensional modelling and inversion of dc resistivity data incorporating topography – II. Inversion. Thomas Günther. Leibniz Institute for Applied Geosciences, Hannover, Germany. E‐mail: [email protected]‐

Two-dimensional inversion of large data sets using iterative inversion is computationally expensive because partial deriva-tives must be calculated and because large linear systems of equations must be solved. We present an approximate one-pass 2-D inversion proce-dure which speeds up the inversion by orders of magnitude rel-. Using the unstructured mesh, a new two-dimensional joint inversion algorithm has been developed for Radiomagnetotelluric and Direct current resistivity data. The unstructured mesh is generated with triangular cells, whose vertical and lateral lengths increase towards the depths. The Finite Element Method (FEM) has been used in the forward modelling part of the developed joint inversion .

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To make interpretation easier and more objective, we have developed a nonlinear inversion technique that estimates the resistivities of cells in a 2-D model of predetermined geometry, based on dipole-dipole resistivity numerical solution for the forward problem is based on the transmission-surface by: This paper describes 2-D joint inversion of MT and dipole-dipole resistivity data with the emphasis on the computer algorithm.

The algorithm produces a 2-D model composed of a large number of rectangular blocks, each of which has constant resistivity. The solutions to two forward problems are based on the finite-element by: We have tested our inversion technique on synthetic and field data.

In both cases, convergence is rapid and the method is practical if the number of parameters is not too large. The main limitations of the method are that the geometry of the model must be specified in advance, and that it is difficult to determine whether model misfit is due to Cited by: Two-dimensional joint inversion of magnetotelluric and dipole-dipole resistivity dataCited by: When, the field data inversion results were compared with the sounding log, it can be seen that the developed joint inversion algorithm with the proposed data weighting matrix recovered the resistivity and velocity model better than the individual inversion and classical joint inversion of each data by: 4.

A few workers have examined the problem of resistivity inversion, but no claim has yet been made for an optimum inverse method for 2D or 3D resistivity data.

Most resistivity inversion methods are also restricted to surface electrode arrays. A multi-dimensional resistivity inversion method using perturbation analysis and reciprocity is proposed.

In this section, fundamental concepts are implemented for a synthetic 2D DC resistivity data set. Treatment is not rigorous because the purpose is to illustrate how inversion is applied, and what the effects of various decisions will be on the model recovered by inversion.

This page is challenging at this level. from the two-dimensional inversions of the resistivity data, and Figure 2(b) shows the IP inversion result.

These sections are displayed to a depth of m, and are considered reliable to at least this depth, as confirmed through drilling. MT data were also inverted, and although not discussed in this paper, the MT inversion. Electrical resistivity models have been derived from two-dimensional (2D) inversions of inline CSEM data using a seafloor-towed electric dipole-dipole system.

Comparing the resistivity models with coincident reflection seismic profiles reveals insight in the sediment stratigraphy of the gas hydrate stability zone (GHSZ).

İsmail Demirci, Ünal Dikmen, M. Emin Candansayar, Two-dimensional joint inversion of Magnetotelluric and local earthquake data: Discussion on the contribution to the solution of deep subsurface structures, Physics of the Earth and Planetary Interiors, /,(), ().

1 Introduction. It is common practice that both seismic and electromagnetic (EM) techniques are applied in the same research area. An improved resistivity model and interpretation can be obtained by performing joint inversion or constrained inversion of EM data using the seismic data as prior information (cf.

Moorkamp et al. [] for integrative geophysical approaches). The resistivity distribution of the subsurface was investigated by two-dimensional and three-dimensional inversion routines, which use data obtained along orthogonal lines. Maiti et al.: Inversion of DC resistivity data of Koyna region The estimation of true resistivity distribution against depth from the apparent resistivity data essentially lead to solv-ing the inverse problem.

Further, relation between the ob-served “apparent resistivity” and the model parameters (“true. Resistivity cross-sections from 2-D inversion of data generated from model BC on profiles O, A, B, C and D, from top to bottom respectively.

The first column gives results for inversion of only TE data, the middle column for only TM data and the last column for joint inversion of TM and TE data.

A procedure is described for interpreting the results of direct current resistivity measurements in regions where the underlying structure cannot be assumed to be layered but varies little in the?strike.

direction. Automatic inversion of the data is performed with the subsurface model having an arbitrary 2-D conductivity distribution. Results of such inversion are shown for both simple. A 3D joint inversion of 2D electrical prospecting data can effectively solve the shortcomings of the 2D electrical method in detecting the spatial forms.

An algorithm for the two‐dimensional (2D) joint inversion of radiomagnetotelluric and direct current resistivity data was developed. This algorithm can be used for the 2D inversion of apparent resist. Two-dimensional inversion of. direct current resistivity data using a.

parallel, multi-objective genetic This book introduces the reader to the area of inverse problems. A relatively new. obtained from the inversion of the data sets collected during the infiltration and recovery phases of the study.

33 Model obtained from the inversion of data from a cross-borehole survey to map the flow of a saline tracer in between two boreholes.

34 Bauchi Wenner Gamma array survey. (a). Apparent resistivity 35 pseudosection. Sensitivity studies applied to a two-dimensional resistivity model from the Central Andes Katrin Schwalenberg, Katrin Schwalenberg 1 GeoForschungsZentrum Potsdam, Telegrafenberg A 2-D resistivity model for the Central Andes has been derived by inversion of magnetotelluric data.

It is an inversion result in terms of a minimum structure model. @article{osti_, title = {Inversion of two-dimensional resistivity and induced-polarization data}, author = {Pelton, W H and Rijo, L and Swift, Jr, C M}, abstractNote = {A fast ridge regression inversion technique was devised for the interpretation of simple two-dimensional resistivity and induced-polarization data.

The program will determine the .Two-Dimensional DC Resistivity Inversion for Dipole-Dipole Data Abstract: A procedure is described for interpreting the results of direct current resistivity measurements in regions where the underlying structure cannot be assumed to be layered but varies little in the "strike"direction.Zondres2d program is designed for two-dimensional interpretation of electrical tomography data by resistivity and induced polarization method in land, cross-borehole and water ical tomography (Resistivity imaging) is technique including both the method of field observations and technology of processing and field resistivity and IP data interpretation.