Numerical modelling allows one
to predict the rock mass response as a result of advancing mining
excavations. While the effect of geologic features such as faults or
changing lithology can be readily incorporated into the model, often
the location, orientation and behavioural properties of such features
is uncertain. This can result in modelling results of low reliability
and hence of limited use to mine operators. Map3Di allows one to superimpose external field loading
effects into the Map3D model. The field loading can come from thermal
heating, fluid pressure, non-linear behaviour, etc. In addition, these
can be determined from many forms of in situ monitoring including for
example fluid pressures (e.g. well drawdown, dams, hydrofracturing),
heating (e.g. natural heating, nuclear waste storage), and deformations
(e.g. monitored with extensometers).
Another important source of in
situ field loading information comes from seismic activity. By
definition, the presence of seismicity indicates that the rock mass is
yielding to load and hence deforming in some way. The seismicity could
indicate shearing on a fault plane or 3D material non-linearity
possibly resulting due to a weak lithological feature. Map3Di allows
you to superimpose the deformations indicated by the seismicity onto
your Map3D mine model. For example, if your seismicity is telling you
that you are getting shearing at some location, then this can be
enforced in the model, thereby redistributing the stresses to
accommodate this effect.
The concept behind Map3Di is to
superimpose some known field loading along with regular modelling
features (pre-mining stress, model geometry, dykes, faults, etc.) to
provide a composite prediction of the stresses, strain and
displacements throughout the rock mass. The integration of numerical
modelling with seismic monitoring through the Map3Di boundary element
method allows one to superimpose the deformations indicated by the
seismicity into your numerical model. This effectively characterizes
geologic features and accommodates the effect these have on rock mass
response.
The field loading information
boils down to specification of: ride and dilation on a segment of a
slip plane, and/or deformation of a 3D zone. But where does such
information come from:
- Suppose you measure the
temperature distribution throughout your mine and you want to apply
this field loading to a Map3Di model. This would be applied by
subdividing the whole rock mass up into small 3D zones then specifying
the temperature in each zone. You would then need to calculate the
"free thermal expansion" for each zone. You then simply tell Map3Di to
use this field loading. Map3Di conducts the necessary calculations to
determine the stress contribution of the integrated field loading.
- Suppose you inject some heavy
grout into a fracture, then after this sets, drill some holes to
determine the amount of dilation you caused in the fracture, and you
want to apply this field loading to a Map3Di model. This would be
applied by subdividing the fracture into small planar zones then
specifying the dilation in each zone. You then simply tell Map3Di to
use this field loading. Map3Di conducts the necessary calculations to
determine the stress contribution of the integrated field loading.
- Suppose from your seismicity
you determine that portions of your rock mass are deforming and other
parts are not. This would be applied by subdividing the whole rock mass
up into small 3D zones then calculating the deformation in each zone.
You then simply tell Map3Di to use this field loading. Map3Di conducts
the necessary calculations to determine the stress contribution of the
integrated field loading.
Note that the Map3Di model can
contain all of the regular features including excavations, stiff dykes,
faults etc. The effects of the field loading and all of these other
features will be superimposed to provide a final composite prediction
of the stresses, strains and displacements throughout the rock mass.
How does Map3Di assist us in
overcoming the shortcomings in applying Terzaghi’s Observational
Approach to Design? There are many possible benefits from adopting this
approach:
- First let’s recognize that we
intend to apply known field loading conditions measured from field data
(seismicity, temperature, fluid pressures or deformations). This in
itself can be considered to be a calibration or fine-tuning exercise,
as opposed to making a prediction. We are literally adding information
to our model.
- The wealth of information
that comes from seismic monitoring is enormous. Seismic monitoring
provides the volume and spatial distribution of information on the rock
mass response that can be obtained in no other way at reasonable cost.
Map3Di provides a mechanism to directly use this information for model
calibration. Owing to the real-time nature of seismicity, it becomes
practical to traverse the mine/monitor/redesign loop for every
increment of mining. Thus instead of spending years making visual
observations to develop a history of rock mass response, there is
potential to calibrate your model much more quickly.
- Perhaps the most important
part of this is that it provides the possibility of adapting to
changing rock mass conditions in real-time. This allows one to
recognize and adapt to rapidly changing local conditions such as
lithology or jointing. You can update your model calibration as
conditions change. This has the potential to significantly improve the
reliability of predictions.
- Finally, by incorporating for
example some fault slip indicated by seismicity, you have in fact
characterized the effect of that fault slip and incorporated its effect
into your model. For example, if your seismicity is telling you that
you are getting shearing at some location, then this can be enforced in
the model, thereby redistributing the stresses to accommodate this
exact effect.


