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.


