Product Description
Six pads on the Micro- Conductivity Logging tool are pushed against
borehole wall by a hydraulic actuating device. The pads closely and
consistently contact with borehole wall, which is essential to
obtaining high quality image data.
Each pad contains *4 s (electrodes) surrounded by metal pad
housing. To force the measuring current flowing into the formation,
a control circuitry maintains a zero voltage difference between the
focusing electrodes and the pad housing.
The total **4 s can provide **4 micro-resistivity
measurements, with vertical and azimuthal resolution of 0.2”. The
individual current measurement recorded from each is a
function of formation resistivity. These measurements are properly
scaled to resistivity values so that they can be correlated with
conventional shallow measurements. The current from the array
s can be converted to high-resolution color or gray-scaled
borehole images.
Features
The optimum pad
contact with borehole, maintained by an advanced hydraulic
actuating device, makes it possible to acquire high quality image
data in rough borehole conditions.
The new and connector structure, the advanced sealing
technique and up-to-the date electronics ensure the high
reliability of the tool.
The complete calibration facilities and systematic calibration
procedures ensure the data precision and consistency. The mature
data acquisition and field processing software satisfy the clients
with quick and flexible image presentation.
The tool can work in fast scanning mode, slow scanning mode or
dipmeter mode.
Application
This tool is used to acquire and
present variety of 2D or 3D borehole resistivity images, which are
widely used in geological analyses, petrophysical analyses and
borehole property analyses. The image data processing technique,
image data base and intelligent image correlation technique greatly
widen the application scope of MCI imaging logging data.
The logging data are mainly used for:
·Sedimentary feature and rock
texture recognition
·Lithology identification,
profile correlation and electro-facies analyses
·Fracture, vug and fault
identification
·Dip analyses and structural
feature analyses in the vicinity of the borehole
·Borehole geometry and
in-situ earth stress analyses
·Formation evaluation in
carbonate reservoir and some igneous rock reservoir
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