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logPlayback
is
a
comprehensive tool designed to playback well logs. This
tool can playback both depth-domain and time-domain well
logs. Log-track template can be loaded from default setup
or one designed by users. Well markers and evaluation results
can be displayed along well logs. The playback features
provided include zoom in/out, frame track switch,
and picking and trace log depth (MD/TVD/time)
and log value
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logInversion
is a well log inversion tool designed to
estimate reservoir parameters from well logs response. This
tool can process both sand-shale and carbonate formation
using rock component model or mineral component model. The
reservoir parameters, such as porosity, volume of shale (illite)
and water saturation can be globally optimized from all
available log response equations. There are seven
resistivity response equations for water saturation. It is
a No.1 interactive and real-time log inversion product and
the inversion results can be traced automatically while
processing. Both sections and zones can be predefined
according to stratigraphic tops and lithology. All the
parameters can be controlled and updated from Human
Interface section-by-section and zone-by-zone if needed.
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logLayerManager
is designed to define well markers and
classify permeable formations (layers) interactively. The
thickness of both gross-sand and net pay can be estimated
from permeable layers, and well markers can be updated
according multi-well solutions and seismic solutions. The
average layer-log property of both stratigraphic tops and
permeable layers will be calculated automatically
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logWaterFlood
is designed to evaluate water-flooded layers
from well logs. The knowledge-based Support Vector Machine
will be used to build the bridge between the training
samples and the prediction wells for the recognition and
classification of water-flooded layers. A fuzzy membership converts the six-level water-flooded into quantitative
value to describe the water-flooded layers.
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logOGW
is designed to evaluate hydrocarbon layers from well
logs. The knowledge-based Support Vector Machine will be
used to build the bridge between the training samples and
the prediction wells for the recognition and classification of
hydrocarbon layers. A fuzzy membership converts
oil/gas/water layers into a vector of three elements to
describe the hydrocarbon layers. For example, (1,0,0)
represents a water layer, (0,1,0) a gas layer, (0,0,1) a
oil layer, and (0,0,0) dry layer
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logCrossPlot
is
designed to playback, list and cross plot well logs. The
tool supports histogram, two-curve crossplot and
three-curve z-crossplot. Two windows are available for
both cross plot presentation and well logs playback. The
moving-cursor can switch between well log canvas and
crossplot window to trace log value and the statistical
frequency.
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logAnyPlot
is designed to cross plot well logs and display any two
log-type curves from ASCII file. The tool can easily
display well time-depth relationship to confirm seismic
synthetic.
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logDigiTool is designed to convert paper logging curves to
digital dataset. It supports GIF, JPEG
and TIFF image format. The paper logging curves can be
grey, black-white and color images. The tool can
automatically trace the paper logs. If needed it also can
interactively pick and guide to trace the paper curves.
The output will be ASCII file and can be interpolated into
any sample rate. The definition of both horizontal
log-depth lines and vertical log-track lines will be a
good quality control for paper logging curve, especially
for poor quality image and irregular image dataset.
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