| Authors |
Hanming Wang, Tom Barber, Kouchiang Chen, Sofia Davydycheva, Mark Frey, Dean
Homan, Gerald Minerbo, Chris Morriss, Richard Rosthal, Jan Smits, and Giovanni
Tumbiolo, Schlumberger
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| Preview |
Abstract
Thinly laminated sand-shale formations represent a difficult challenge for
petrophysical evaluation. The conductive shale laminations have a profound
effect on the traditional induction log, causing it to read the shale
laminations significantly lower than the high-resistivity sand layers. This
misreading leads to pessimistic computations of water saturation and
estimations of reserve. The newly developed triaxial induction logging tool
provides much more information than the conventional induction logging
measurement. It is not only sensitive to the effective horizontal resistivity,
which is dominated by the conductive shale layers, but it is also sensitive to
the effective
vertical resistivity, which is determined by the conductive shale and the
resistive sand, at any dip angle.
A key challenge of developing the triaxial induction array is the large
borehole effect on coplanar couplings when the tool is eccentered in the
transverse direction in water-base mud boreholes. To reduce the borehole effect
to a manageable level, a new design with multiple electrodes has been
implemented. Tank experiments and numerical modeling results show the borehole
effect is reduced dramatically by using this design.
A parametric inversion algorithm to simultaneously determine the horizontal
resistivity, vertical resistivity, formation dip, and azimuthal angle and bed
boundary position from the triaxial induction logging data will be presented.
The inversion problem is solved by employing a weighted, constrained, and
regularized Gauss-Newton minimization scheme. To archive the practical
application of the inversion
algorithm, a fast Jacobian matrix computation is implemented to improve the
efficiency. Furthermore, a multiplicative regularization technique is used to
automatically determine the regularization coefficient. Synthetic examples will
be presented to indicate the robustness of the algorithm.
A quantitative interpretation method of water saturation in laminated
shale-sand formation will be presented. Shale anisotropy is taken into account
for building the interpretation model. Two field examples demonstrate the
laminated shales and analysis improves the estimate of hydrocarbons in
place.
Introduction
Formation electrical anisotropy has been recognized for many years.1 It is
critical to measure the formation electrical property for accurate formation
evaluation. In a laminated shale-sand sequence, the horizontal resistivity that
is parallel to the formation bedding plane is much smaller than the vertical
resistivity that is perpendicular to the formation bedding, when the sand
formation is hydrocarbon-bearing. Since the standard induction logging only
measures the horizontal resistivity in vertical wells, the interpretation based
on that data will either miss the pay-zone or overestimate the water
saturation. To address the problem, the recently developed triaxial induction
tool provides both horizontal resistivity and vertical resistivity. It also
produces deep, robust formation dip and azimuth angle and accurate formation
bed boundary position information2,3 .
Theoretical study of triaxial induction logging was performed by Moran and
Gianzero4 in 1979. They concluded that, in principle, by using a coplanar
system with a magnetic moment parallel to the formation bedding plane, the
vertical conductivity can be measured. But, because of the large borehole
effect, it was impractical to build such system. A multielectrode tool design
was built to reduce the borehole effect to a manageable level5.
In this paper, we will cover the theory, modeling, inversion, and
interpretation of triaxial induction logging. In the theory part, we will
present the sensitivity of triaxial induction measurement to formation dip,
azimuth, horizontal conductivity, vertical conductivity, and bed boundary
position in transverse isotropic formations and layered formations. Current
distribution will also be presented in this section to
explain the solution to develop the practical triaxial induction tool. In the
modeling section, we will compare the numerical simulation and measurement when
the tool is located in a test facility, an experimental water tank. In the
inversion part, we will describe the processing technique of triaxial induction
logging data. In the interpretation part, we will present the petrophysics
model to calculate the water saturation in laminated shale-sand sequence.
Finally, two field examples will be discussed to show the impact of triaxial
induction
logging tool on formation evaluation.
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