Estimation of sonic velocity in shales in abnormally-pressured formations from resistivity data
The writers proposed a method for estimating (1) the sonic velocity υ a in abnormally-pressured shales using resistivity logs and, thus, (2) shale bulk density. Analysis of the well-log data for productive strata in Azerbaijan showed that there is a poor correlation between the sonic velocities and...
Saved in:
Published in | Journal of petroleum science & engineering Vol. 15; no. 2; pp. 375 - 377 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.08.1996
Elsevier Science |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The writers proposed a method for estimating (1) the sonic velocity
υ
a
in abnormally-pressured shales using resistivity logs and, thus, (2) shale bulk density. Analysis of the well-log data for productive strata in Azerbaijan showed that there is a poor correlation between the sonic velocities and other well-log data, such as resistivity, SP, neutron and gamma-ray. Introducing normal trend of sonic velocity
υ
n
and resistivity
ϱ
n
allowed us to express sonic velocity (and, therefore, the bulk density of the shale) as a nonlinear function of resistivity with good correlation between the normalized velocity and normalized resistivity. The best-fit regression equation is of the following form:
υ
a
υ
n
= 0.63 + 0.37(
ϱ
a
ϱ
n
)
3.26
(where
ϱ
a
and
ϱ
n
are the resisitvities of abnormally-pressured and normally-compacted shales, respectively).
The coefficient of correlation between parameters
\
̃
gn[=
υ
a
υ
n
] and
\
̃
g9[= (
ϱ
a
ϱ
n
)
3.26
] is 0.87 and the mean-squared error for
υ
a
is 190 m/s. The average relative error of velocity estimation is 6% — ranging from zero to a maximum of 14%. Thus,
υ
a
can be estimated from the
ϱ
a
ϱ
n
ratio and the
υ
n
obtained from the normal compaction trend in the area studied. |
---|---|
ISSN: | 0920-4105 1873-4715 |
DOI: | 10.1016/0920-4105(95)00072-0 |