Joint inversion of acoustic and resistivity data for the estimation of gas hydrate concentration

10.3133/b2190 ◽  
2002 ◽  
Keyword(s):  
Gas Hydrate ◽  
Joint Inversion ◽  
Resistivity Data

3-D joint inversion of electrical and magnetometric resistivity data

2004 ◽  
Vol 2004 (1) ◽  
pp. 1-4
Author(s):  
Jiuping Chen ◽  
Douglas W. Oldenburg
Keyword(s):  
Joint Inversion ◽  
Resistivity Data

On: “Two‐dimensional joint inversion of magnetotelluric and dipole‐dipole resistivity data” by Y. Sasaki (GEOPHYSICS, 54, 254–262, February 1989)

Geophysics ◽  
1989 ◽  
Vol 54 (9) ◽  
pp. 1212-1212
Author(s):  
D. J. Dodds
Keyword(s):  
Joint Inversion ◽  
Dc Resistivity ◽  
Two Dimensional ◽  
Resistivity Data

There appears to be an error in the formulation of the dc resistivity response in this paper. Equation (6) is valid only when the conductivity is constant, but the text and the notation imply that it is variable. Grant and West (1965) give the correct relation [their equation (14‐2)], which is restated here using Sasaki’s notation and accounting for source currents.

3D joint inversion of Gradient and Mise-à-la-Masse borehole IP/Resistivity data and its application to magmatic sulfide mineral deposit exploration

2018 ◽  
Vol 66 (5) ◽  
pp. 1031-1045 ◽  
Author(s):  
Haileyesus D. Wondimu ◽  
Tilahun Mammo ◽  
Blaine Webster
Keyword(s):  
Joint Inversion ◽  
Sulfide Mineral ◽  
Mineral Deposit ◽  
Resistivity Data ◽  
Magmatic Sulfide

Thermoelectric self-potential and resistivity data localize the burning front of underground coal fires

Geophysics ◽  
2013 ◽  
Vol 78 (5) ◽  
pp. B259-B273 ◽  
Author(s):  
A. Revil ◽  
M. Karaoulis ◽  
S. Srivastava ◽  
S. Byrdina
Keyword(s):  
Coal Seam ◽  
Joint Inversion ◽  
Synthetic Data ◽  
Ground Surface ◽  
Thermal Anomaly ◽  
Silica Sand ◽  
Geophysical Field ◽  
Burning Front ◽  
Resistivity Data ◽  
Self Potential

Self-potential signals and resistivity data can be jointly inverted or analyzed to track the position of the burning front of an underground coal-seam fire. We first investigate the magnitude of the thermoelectric coupling associated with the presence of a thermal anomaly (thermoelectric current associated with a thermal gradient). A sandbox experiment is developed and modeled to show that in presence of a heat source, a negative self-potential anomaly is expected at the ground surface. The expected sensitivity coefficient is typically on the order of [Formula: see text] in a silica sand saturated by demineralized water. Geophysical field measurements gathered at Marshall (near Boulder, CO) show clearly the position of the burning front in the electrical resistivity tomogram and in the self-potential data gathered at the ground surface with a negative self-potential anomaly of about [Formula: see text]. To localize more accurately the position of the burning front, we developed a strategy based on two steps: (1) We first jointly invert resistivity and self-potential data using a cross-gradient approach, and (2) a joint interpretation of the resistivity and self-potential data is made using a normalized burning front index (NBI). The value of the NBI ranges from 0 to 1 with 1 indicating a high probability to find the burning front (strictly speaking, the NBI is, however, not a probably density). We validate first this strategy using synthetic data and then we apply it to the field data. A clear source is localized at the expected position of the burning front of the coal-seam fire. The NBI determined from the joint inversion is only slightly better than the value determined from independent inversion of the two geophysical data sets.

scholarly journals 3-D cross-gradient joint inversion of seismic refraction and DC resistivity data

2017 ◽  
Vol 141 ◽  
pp. 54-67 ◽  
Author(s):  
Zhanjie Shi ◽  
Richard W. Hobbs ◽  
Max Moorkamp ◽  
Gang Tian ◽  
Lu Jiang
Keyword(s):  
Joint Inversion ◽  
Seismic Refraction ◽  
Dc Resistivity ◽  
Resistivity Data

Joint inversion of surface wave, refracted P-wave, and apparent resistivity data to retrieve porosity of saturated layers

2013 ◽  
Author(s):  
Flora Garofalo ◽  
Laura Valentina Socco ◽  
Sebastiano Foti
Keyword(s):  
Surface Wave ◽  
Apparent Resistivity ◽  
Joint Inversion ◽  
P Wave ◽  
Resistivity Data

scholarly journals 3-D inversion of induced polarization data

Geophysics ◽  
2000 ◽  
Vol 65 (6) ◽  
pp. 1931-1945 ◽  
Author(s):  
Yaoguo Li ◽  
Douglas W. Oldenburg
Keyword(s):  
Wavelet Transforms ◽  
Joint Inversion ◽  
Linear Equations ◽  
Induced Polarization ◽  
Dc Resistivity ◽  
Data Sets ◽  
Bound Constraints ◽  
Borehole Data ◽  
Resistivity Data ◽  
Logarithmic Barrier

We present an algorithm for inverting induced polarization (IP) data acquired in a 3-D environment. The algorithm is based upon the linearized equation for the IP response, and the inverse problem is solved by minimizing an objective function of the chargeability model subject to data and bound constraints. The minimization is carried out using an interior‐point method in which the bounds are incorporated by using a logarithmic barrier and the solution of the linear equations is accelerated using wavelet transforms. Inversion of IP data requires knowledge of the background conductivity. We study the effect of different approximations to the background conductivity by comparing IP inversions performed using different conductivity models, including a uniform half‐space and conductivities recovered from one‐pass 3-D inversions, composite 2-D inversions, limited AIM updates, and full 3-D nonlinear inversions of the dc resistivity data. We demonstrate that, when the background conductivity is simple, reasonable IP results are obtainable without using the best conductivity estimate derived from full 3-D inversion of the dc resistivity data. As a final area of investigation, we study the joint use of surface and borehole data to improve the resolution of the recovered chargeability models. We demonstrate that the joint inversion of surface and crosshole data produces chargeability models superior to those obtained from inversions of individual data sets.

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