International Journal of Geosciences, 2013, 4, 283-289
http://dx.doi.org/10.4236/ijg.2013.42026 Published Online March 2013 (http://www.scirp.org/journal/ijg)
The Application of Joint Inversion in
Geophysical Exploration
Ákos Gyulai, Mátyás Krisztián Baracza, Éva Eszter Tolnai
Department of Geophysics, Faculty of Earth Science and Engineering, University of Miskolc, Miskolc, Hungary
Email: gfgyulai@uni-miskolc.hu, baracza@uni-miskolc.hu, evaeszter.tolnai@gmail.com
Received October 15, 2012; revised December 9, 2012; accepted January 18, 2013
ABSTRACT
The paper presents a short overview about the application of joint inversion in geophysics. It gives also an alternative
explanation for the term of “different data sets” and discusses what types of inversion procedures can be considered as
joint inversion. Nowadays there are no standard standpoints using the appellation joint inversion. What is joint inver-
sion? Based on the information matrix an answer could be given for this question what could be regarded as various
types of data sets that are inverted simultaneously. We would like to expand the explanation—that is professed by many
researchers—of the method that regards only the simultaneous inversion of data sets based on different physical pa-
rameters as joint inversion.
Keywords: Joint Inversion; Simultaneous Inversion; Geophysical; Serious Expansion
1. Introduction
The adaptation of joint inversion is the straightforward
consequence of the applied complex interpretation me-
thods in geophysics together with the development of
inversion methods. The first phrasing and application of
joint inversion were given by Vozoff in 1975 as “invert-
ing several different kinds of geophysical measurements”.
He realized the simultaneous inversion of DC (Direct
Current) resistivity and magnetotelluric measured data
sets [1]. This method could be regarded as the basis of
joint inversion methods. Vozoff as the first researcher
and author of joint inversion method developed the si-
multaneous inversion of different measured electric con-
ductivity data. We could put a question about why do we
consider two data sets as different data sets? Is it because
one is gained from DC measurement and the other one is
from electromagnetic measurement or because the dif-
ference is in the deeper physical content through the data
about the geological structure? Perhaps it is not so diffi-
cult question to answer.
Furthermore the term of joint inversion was applied in
literature for the inversion of data measured by different
physical principles. For instance, in near-surface explora-
tion it generally represents the joint inversion of seismic
and geoelectric data. Distinguishing inversion methods
based on different data combinations researchers have
tried to introduce different appellation e.g. cooperative
inversion, simultaneous inversion, combined inversion
etc. However, most of them remained with the term
“joint inversion” for naming the method that gives the
solution of various types of data sets inverted simultane-
ously. In most cases the complex geophysical exploration
means the application of physically different methods
hence these methods appeared more frequently as joint
inversion.
2. The Method of Joint Inversion
The scheme overview of joint inversion by [2] demon-
strates the joint inversion of diverse subsurface electrical
soundings and VSP (Vertical Seismic Profiling) meas-
urements. The seismic model parameter vector is (the
first and the fifth layers are considered to be half-spaces)
T
2 3 4 1 2 3 4 5
, , , , , , ,
s
h h h v v v v v P
T
2 3 4 1 2 3 4 5
, , , , , , ,
e
h h h
, (1)
where h
i
denotes the layer-thicknesses and v
i
denotes the
seismic propagation velocities. The geoelectric model
parameter vector is
P , (2)
where ρ
i
denotes the resistivities. The joint parameter
vector P is the combination of vectors
s
P
e
P
T
2 3 4 1 5 1 5
, , , , , , , , h h h v v
and
P
calculated
,
i i
Y Y S P
. (3)
The common elements in the joint parameter vector in
this example are the layer thicknesses as Equation (3)
shows. The direct problem is
, (4)
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