DFN Generation, Analysis, and Simplification
Description
Note
The project file for this example may be viewed/run in PFC.[1] The data files used are shown at the end of this example.
In this example, a DFN model is defined, generated, and illustrated. A DFN model is a set of statistical distributions defining the DFN geometrical characteristics: fracture sizes, orientations, and positions. Combined with a density term and a random seed, it is used to generate DFN realizations. A DFN realization is a fracture set whose characteristics obey the statistical description of the DFN model. In this example, a DFN realization is generated from a generic DFN model. First of all, the DFN modeling framework is briefly recalled. Then, the parameters of the reference DFN model are defined and a realization is generated. The resulting DFN characteristics, including connectivity, are computed and displayed. This DFN is also used to define a simplified DFN, one that is modified to decrease numerical issues that may be encountered upon further mechanical modeling. The DFN model is defined from a classical description of fracturing (i.e., several fracture families whose respective densities are defined from apparent fracture intensity along borehole(s) and scanline(s), from bulk density or from bulk number of fractures). Thus the DFN density is calibrated to these 1Dobserved fracture intensities or 3Dexpected fracture densities.
Building Realizations of an Example DFN Model
The desired DFN model should have the following characteristics:
Fractures are modeled with disks in 3D.
Fracture orientations arise from the combination of three sets: subhorizontal, subvertical, and one more distributed (called “background fractures”).
The background set is associated with the range of small fractures and follows a size distribution that is different from the other fracture sets with larger sizes.
Fracture positions are uniform through space (i.e., Poisson distribution model).
Each fracture set has a specified density.
Let us recall that fracture size, orientation, and position distributions are defined via the fracture template create
command. A DFN template is a statistical description of a DFN, not an actual realization of fractures. To generate fractures consistent with the desired model, three DFN templates are necessary. Once a DFN template is defined, the corresponding fracture set density is assigned at the DFN generation stage (e.g., with the fracture generate
command). A DFN realization is created with the combination of a DFN template, a density term, and a random seed. The three DFN templates are assigned powerlaw distributions for fracture sizes, and orientations and densities that may be derived from field observations. The subvertical and subhorizontal fracture size scaling exponent is set to 4, while the size distribution lower boundary \(l_{min}\) is equal to 10 m. Each has one preferential orientation with a given variability that is modeled by a Fisher distribution with a \(\kappa\) parameter equal to 200 for subvertical fractures and \(\kappa\) =500 for subhorizontal fractures. The Fisher distribution is a 3D symmetric analogue of the normal distribution, and is usually used to model preferential orientations with a given dispersion around the mean value (see, e.g., ([Fisher1993a]).
The background fractures size scaling exponent is set to 3.2, with fracture sizes in the range [2; 10]. They have orientations bootstrapped from a userdefined distribution defined in an orientation file (see Table 1). The userdefined distribution file is basically a list of discrete values of fracture pole orientations (dip and dip direction). The statistical weight of each discrete pole orientation in the whole distribution can be increased by a multiplicative factor defined in the column Weight. This weight is commonly used to introduce an adhoc quantity and/or the correction (known as the Terzaghi correction) used to compensate possible orientation bias due to sampling of a 3D DFN along a 1D borehole or scanline. The Weight column is not mandatory in this userdefined distribution file. The distribution file format is the following:
One header line.
x lines defining the discrete distribution. Each contains an ID, followed by the 2 values of the distribution (dip and dip direction). A last (optional) column defines the quantity for these values. If not given, all values have the same probability. Separators can be a space, tab, comma, or semicolumns.
The end of the file is specified by any empty line.
;ID 
Dip 
DipDirection 
Weight 

1 
44.533 
195.30 
1.52 
2 
55.795 
218.98 
2.49 
3 
56.963 
209.31 
2.34 
4 
40.202 
344.11 
1.61 
5 
18.688 
98.29 
1.00 
6 
77.365 
295.80 
5.76 
… 
During generation, the fracture orientations are randomly selected while respecting the relative proportions of the weight column. The stereonet of the distribution used in this example is shown in Figure 1, as output by the PFC stereonet plot item.
The densities of these sets are defined in three distinct manners. They correspond to conditions that may occur in common field cases. For the subvertical fractures, a mass density (P32) is directly provided. For the subhorizontal fractures, the density is defined so that the number of fractures (of this set) observed on a vertical outcrop section reaches a specified value. For the background fractures, the density is defined by a given P10 along a borehole (approximated by a 1D straight line). The DFN template parameters for the three fracture sets are defined in Table 2. Fracture positions are generated in a domain larger than the observation domain in order to reduce the finitesize effects. Indeed, large fractures can be observed in a given domain while their center is located outside of it. Therefore, the generation domain is increased by the largest fracture size compared to the observation domain.
Property 
Distribution 
Parameters 


Set 1: subvertical 
positions 
uniform 
generated in all of space 
orientations 
Fisher 
dip 90°, dip dir. 120°, \(\kappa\)=200 

lengths 
powerlaw 
scaling exponent \(a=4\), \(l_{min}=10\), \(l_{max}=500\) 

density 
\(P_{32}\)=0.33 in the model domain extent 

Set 2: subhorizontal 
positions 
uniform 
generated in all of space 
orientations 
Fisher 
dip 20°, dip dir. 30°, \(\kappa\)=200 

lengths 
powerlaw 
scaling exponent \(a=4\), \(l_{min}=10\), \(l_{max}=500\) 

density 
number of observed fractures on the vertical outcrop: 39 

Set 3: background 
positions 
uniform 
generated in all of space 
orientations 
bootstrapped 
from file 

lengths 
powerlaw 
scaling exponent \(a=3.2\), \(l_{min}=2\), \(l_{max}=10\) 

density 
\(P_{10}=0.5\) measured on the vertical borehole ( \(l=85\) m) 
Initialization
Prior to fracture generation, a domain must be specified via the model domain extent
command. Fractures can only exist in this cubical volume and are truncated at its edges. It is possible to define (in the generation command) a generation volume and a tolerance volume with the limit that the tolerance volume is included within the domain extent. In this case, fracture positions are generated within the generation volume, but only fractures inside (either partially or completely) the tolerance volume are kept and truncated at its edges. Additionally, the initial random seed for generation is fixed so that the resulting realizations are reproducible:
model new
; define the domain
model domain extent 50 50 50 50 50 50
; fix the random seed
model random 101
For visualization and calibration purposes, several geometry objects are defined to mimic outcrops and boreholes. It is possible to compute the intersections between fractures and 1D or 2D geometries, and analyze/visualize these intersections. Two boreholes (one vertical and one dipping 45°) plus two outcrops are defined. Outcrops are composed of a single planar (2D) polygon; boreholes are defined as 1D lines. Note that it is also possible to model boreholes by cylindrical geometries:
; borehole creations
geom set 'vertical_borehole'
geom edge create byposition (0,0,45) (0,0,40)
geom set '45_degree_borehole'
fish def make_45_borehole
local x1 = 50
local x2 = 50
; rotation of 45 degree
local x1rot = x1*math.cos(math.pi/4)
local z1rot = x1*math.sin(math.pi/4)
local x2rot = x2*math.cos(math.pi/4)
local z2rot = x2*math.sin(math.pi/4)
command
geom edge create byposition [(x1rot,0,z1rot)] [(x2rot,0,z2rot)]
endcommand
end
[make_45_borehole]
; outcrop creation
geom set 'horizontal_outcrop'
geom polygon create byposition (40,40,40) (40,40,40) ...
(40,40,40) (40,40,40)
geom set 'vertical_outcrop'
geom polygon create byposition (41,41,50) (41,41,50) ...
(41,41,40) (41,41,40)
The geometries are illustrated by Figure 2.
Generation of the DFN
The three fracture sets are defined separately via DFN templates and generated in separate steps. For each set, the DFN template parameters are defined using the fracture template create
command that defines the size and orientation distributions. Fractures are then generated using the fracture generate
command that specifies the target density, in addition to the DFN template to be used. The generation domain is defined in the fracture generate
command, while the tolerance domain is not specified because the model domain is used. For the subvertical fractures, builtin distributions are used and the two commands are rather simple. The target density, defined with the massdensity
keyword, is a mass density (\(P_{32}\)) of 0.33:
; define the template of set 1: vertical fractures
fracture template create 'sub_vertical' orientation fisher 90,120,200 ...
size powerlaw 4 sizelimit 10 500
fracture generate dfn 'sub_vertical' generationbox ...
100 100 100 100 100 100 template 'sub_vertical' massdensity 0.33
For the subhorizontal fractures, the target density is reached when the number of fractures visible on the vertical outcrop is as specified above. Since it is not a builtin option of the generation command, we use the definition of a userdefined stopping criterion. To achieve this density, we use two FISH functions: one as a modification function (the intrinsic hori_study with the modify
keyword) and one as a userdefined stopping function (the hori_stop intrinsic with the fishstop
keyword) in the fracture generate
command. The modification function is called as each fracture is generated and provides, as an argument, a pointer to the fracture. In this case it is used to count the number of fractures intersecting the vertical outcrop (with the FISH intrinsics fracture.gintersect
). The stopping function is called after the generation of each fracture, and the generation is stopped if the function returns 1. In this case, it is used to check if the number of fractures intersecting the vertical outcrop is the target number:
; define the template of set 2: horizontal fractures
fracture template create 'sub_horizontal' orientation fisher 20 30 500 ...
size powerlaw 4 sizelimit 10 500
fish define variables
global nb_hori = 0
global nb_hori_aimed = 39
end
[variables]
fish define hori_study(frac)
local outc = geom.set.find('vertical_outcrop')
local is_inter = fracture.gintersect(frac,outc)
if is_inter>0
nb_hori = nb_hori+1
endif
end
fish define hori_stop
hori_stop = 0
if nb_hori >= nb_hori_aimed
hori_stop=1
endif
end
fracture generate dfn 'sub_horizontal' generationbox ...
100 100 100 100 100 100 template 'sub_horizontal' ...
modify hori_study fishstop hori_stop
For the third background fracture set, the density is defined by \(P_{10}\) along the vertical borehole. The borehole is specified via a geometry set with the p10
and geometry
keywords to the fracture generate
. Fractures are generated until the target fracture frequency or \(P_{10}\) value is reached on the borehole defined in the generation command. Note that even if the \(P_{10}\) is computed, borehole intercepts are not actually computed. In addition, one can specify the line of a borehole directly without the use of a geometry set:
; define the template of set 3: background jointing
fracture template create 'background' orientation bootstrapped ...
'orientation_distribution.inp' size powerlaw 3.2 sizelimit 2 10
fracture generate dfn 'background' generationbox ...
55 55 55 55 55 55 template 'background' p10 0.5 ...
geometry 'vertical_borehole'
The resulting DFN (illustrated in Figure 3) contains about 110,000 fractures. This plot is obtained by adding the Fracture plot item, colored by DFN name (in Labels). The associated stereonet is illustrated in Figure 4, where the two dominant orientations are clearly visible. This plot is obtained by adding the plot item Fracture stereonet.
Analysis of the DFN
In this section, some characteristics of the DFN are analyzed. First, global DFN statistics are printed. Simple outcrop and borehole samplings are performed. The DFN connectivity is also analyzed. The analyses provided in this section are rudimentary and should be used as starting points for more advanced analyses. The fracture compute
command displays the DFN density. Various densities can be output: the mass density with the massdensity
keyword, the \(P_{10}\) along any line with the p10
keyword, etc. FISH intrinsics can also be used to print additional global statistics. In this case, the total fracture density (\(P_{32}\)) is equal to 1.6 m^{2}/m^{3}. Note that the fracture compute p10
command and the fracture.geomp21
FISH intrinsic provide fast access to DFN densities, but do not actually compute intersections. In addition, the fracture compute p10
command does not require a preexisting geometry object since it is temporarily defined in the command line.
fracture compute massdensity
fracture compute p10 begin (50,0,0) end (50,0,0)
fish define geometry_density
local poutcrop = geom.set.find('vertical_outcrop')
local pborehole = geom.set.find('vertical_borehole')
local oo = io.out('p21 vertical = '+string(fracture.geomp21(poutcrop)))
oo = io.out('p10 vertical = '+string(fracture.geomp10(pborehole)))
end
[geometry_density]
To generate trace maps and get the intercepts along a borehole, one must first calculate the intersections between the DFN and the outcrops. Intersections between fractures and plane are called traces; intersections between fractures and lines are called intercepts. With the fracture intersections compute
command and the withgeometry
keyword, intersections between fractures and geometries are computed and saved in different intersection sets. Then, in order to facilitate further analysis, fracture extras are assigned an index defining whether or not they intersect one of the current geometry sets with the assign_extras FISH function. We assign the values 1, 2, and 3 to extras 1, 2, and 3, in order to identify which fractures are associated with the corresponding intersection sets. The use of various extras is explained by the fact that a fracture can simultaneously intersect several different geometries. Similar FISH functions could also be used to export trace properties.
; traces and intercepts
fracture intersection compute withgeometry 'horizontal_outcrop' ...
intersectionset 'inter_hori_out' groupslot '1'
fracture intersection compute withgeometry 'vertical_outcrop' ...
intersectionset 'inter_vert_out' groupslot '2'
fracture intersection compute withgeometry 'vertical_borehole' ...
intersectionset 'inter_vert_bore' groupslot '3'
fish define assign_extras
local set1 = fracture.inter.set.find(1)
local intlist = fracture.inter.set.interlist(set1)
loop foreach e1 intlist
local f1 = fracture.inter.end1(e1)
if type.pointer.id(f1) = fracture.typeid then
fracture.extra(f1,1) = 1
endif
endloop
local set2 = fracture.inter.set.find(2)
intlist = fracture.inter.set.interlist(set2)
loop foreach e1 intlist
f1 = fracture.inter.end1(e1)
if type.pointer.id(f1) = fracture.typeid then
fracture.extra(f1,2) = 2
endif
endloop
local set3 = fracture.inter.set.find(3)
intlist = fracture.inter.set.interlist(set3)
loop foreach e1 intlist
f1 = fracture.inter.end1(e1)
if type.pointer.id(f1) = fracture.typeid then
fracture.extra(f1,3) = 3
endif
endloop
end
[assign_extras]
Figure 5 and Figure 6 show the two outcrop trace maps calculated with the previous code. These figures are obtained by adding the plot item DFN intersections colored by length (in Values) and by selecting, in the Display options, only the appropriate intersection set (named here inter_hori_out and inter_vert_out). In Figure 7, the fractures intersecting the vertical borehole are displayed. This is obtained by adding the plot item DFN values colored by area with a filter based on extra 3.
Finally, the connectivity between fractures of the DFN is analyzed. The first step is to compute intersections between fractures. The command fracture intersections compute
is used again (the withgeometry
keyword is not used), and yields about 500,000 intersections between fractures. The second step is to compute the clusters of connected fractures. A fracture cluster is defined as the set of intersecting fractures. In other words, there is always a connected path between any two fractures of a cluster. Conversely, two fractures in two separate clusters are disconnected. The clusters are computed with the fracture cluster
command. The resulting intersections and clusters are shown by Figure 8 and Figure 9. Figure 8 is obtained by adding the plot item DFN intersections colored by length (in Values) and by selecting, in the Display options, only the set named all. Figure 9 is obtained by adding the plot item DFN values, colored by cluster (in Values). As this plot is showing, in the present case, the fractures are wellconnected, with a marginal number of fractures not falling within the global cluster. However, in less connected DFNs, the organization between clusters can be much more complex:
fracture intersection compute intersectionset 'all'
fracture cluster groupslot '1' intersectionset 'all'
Simplification of the DFN
In some cases, a DFN may consist of so many fractures that it cannot be used in further mechanical modeling. Thus, one might need to reduce the DFN to a simplified version that captures many of the characteristics of the original DFN. In this example, we proceed with several assumptions and consecutive actions on the DFN:
Some fractures are negligible with regard to the application and can therefore be removed:
if they do not belong to the largest cluster of connected fractures, or
if they are far from a given injection point.
Fractures can be combined along common planes or merged based on proximity.
These assumptions could represent a simplification in the context of hydraulic fracture stimulations from a given point. The relevancy of the simplification assumptions are the responsibility of the user and are obviously related to specific conditions of the target application. In particular, the fracture combination (through command fracture combine
) does not guarantee that all DFN characteristics are maintained. It is the user’s responsibility to assess the DFN validity for their specific purpose. First, all fractures not belonging to the largest cluster are identified. Indeed, it is assumed that only the largest cluster is connected to the reference borehole. Therefore, isolated fractures that do not belong to this cluster are deleted by using the fracture delete
command with the appropriate range. Indeed, during the computation of clusters, groups are associated with clusters based on the underlying intersection set name and the cluster index (fractures in the largest cluster are grouped, in this case, in the all1 group). In practice, it is recommended that intersections and clusters be cleaned (fracture intersections delete
command) before acting on the DFN in order to increase the computation speed. Intersections are computed again afterwards. Under the present conditions, most of the fractures are connected to the largest cluster and the proportion of isolated fractures is small. This simplification prunes 2000 fractures from the DFN.
; keep only infinite cluster
fracture intersection delete
fracture delete range group "all1" not
fracture intersection compute intersectionset 'all'
In the next step, fractures with too long of a “connected distance” to a defined injection section are deleted. The “connected distance” between a fracture and a reference zone (like the injection section) is the total length of the shortest connected path between the fracture and the reference (Figure 10). It is the total distance from the center of intersections between fractures that must be crossed to reach the section.
First, a 2D geometry defining the injection section is defined and the connected distance is computed with the fracture connectivity distance
command. Next, the fractures with a “connected distance” larger than 50 m are removed. This simplification prunes an additional 75,000 fractures from the DFN. The resulting filtered DFN is shown in Figure 11 (DFN values colored by extra 6).
; filter by connected distance
geom set 'injection_section'
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
fracture connectivity distance extraindex 6 ...
startinggeometry 'injection_section' intersectionset '5'
fracture intersection delete
fracture delete range extra 6 0 50 not
A further simplification is achieved by projecting fractures onto a limited number of reference planes and by combining overlapping fractures with the merge
command. With this command, the plane of the largest fracture is taken as a reference. Then, smaller fractures are projected to the plane if:
the distance between their center and the plane is smaller than a given distance; and
if the difference between the plane orientation and the fracture orientation is smaller than a given angle.
This procedure is iterated moving from the largest fracture to the smallest one. After the projection, several fractures are coplanar and might overlap. By using the keyword merge
, overlapping fractures are merged. If a fracture is completely included within a larger one, it is removed. The combination is made with three sets of criteria, depending on the distance between fractures and the injection point. This could reflect conditions where the influence of fractures on the results is strong close to the injection, while the influence of the furthest fractures is less important. The closest fractures are merged based on strict criteria, while the furthest fractures are merged using less strict criteria. An additional 33,000 fractures are pruned from the DFN with this step.
; fracture combination
fracture combine distance 1 angle 20 merge range extra 6 10 20
fracture combine distance 5 angle 45 merge range extra 6 20 30
fracture combine distance 10 angle 80 merge range extra 6 30 50
The resulting DFN has approximately 4,000 fractures and is shown in Figure 12 (DFN values colored by extra 6).
References
Fisher, N. I. Statistical Analysis of Circular Data. Cambridge University Press (1993).
dfntutorial.dat
;
; CODE 1
;
; excerptinitstart
model new
; define the domain
model domain extent 50 50 50 50 50 50
; fix the random seed
model random 101
; excerptinitend
;
; CODE 2
;
; excerptbhssstart
; borehole creations
geom set 'vertical_borehole'
geom edge create byposition (0,0,45) (0,0,40)
geom set '45_degree_borehole'
fish def make_45_borehole
local x1 = 50
local x2 = 50
; rotation of 45 degree
local x1rot = x1*math.cos(math.pi/4)
local z1rot = x1*math.sin(math.pi/4)
local x2rot = x2*math.cos(math.pi/4)
local z2rot = x2*math.sin(math.pi/4)
command
geom edge create byposition [(x1rot,0,z1rot)] [(x2rot,0,z2rot)]
endcommand
end
[make_45_borehole]
; outcrop creation
geom set 'horizontal_outcrop'
geom polygon create byposition (40,40,40) (40,40,40) ...
(40,40,40) (40,40,40)
geom set 'vertical_outcrop'
geom polygon create byposition (41,41,50) (41,41,50) ...
(41,41,40) (41,41,40)
; excerptbhssend
model save 'geometries'
;
; CODE 3
;
; excerptgnfsstart
; define the template of set 1: vertical fractures
fracture template create 'sub_vertical' orientation fisher 90,120,200 ...
size powerlaw 4 sizelimit 10 500
fracture generate dfn 'sub_vertical' generationbox ...
100 100 100 100 100 100 template 'sub_vertical' massdensity 0.33
; excerptgnfsend
;
; CODE 4
;
; excerptset2start
; define the template of set 2: horizontal fractures
fracture template create 'sub_horizontal' orientation fisher 20 30 500 ...
size powerlaw 4 sizelimit 10 500
fish define variables
global nb_hori = 0
global nb_hori_aimed = 39
end
[variables]
fish define hori_study(frac)
local outc = geom.set.find('vertical_outcrop')
local is_inter = fracture.gintersect(frac,outc)
if is_inter>0
nb_hori = nb_hori+1
endif
end
fish define hori_stop
hori_stop = 0
if nb_hori >= nb_hori_aimed
hori_stop=1
endif
end
fracture generate dfn 'sub_horizontal' generationbox ...
100 100 100 100 100 100 template 'sub_horizontal' ...
modify hori_study fishstop hori_stop
; excerptset2end
;
; CODE 5
;
; excerptset3start
; define the template of set 3: background jointing
fracture template create 'background' orientation bootstrapped ...
'orientation_distribution.inp' size powerlaw 3.2 sizelimit 2 10
fracture generate dfn 'background' generationbox ...
55 55 55 55 55 55 template 'background' p10 0.5 ...
geometry 'vertical_borehole'
; excerptset3end
model save 'dfngeneration'
;
; CODE 6
;
; print densities
; excerptdensstart
fracture compute massdensity
fracture compute p10 begin (50,0,0) end (50,0,0)
fish define geometry_density
local poutcrop = geom.set.find('vertical_outcrop')
local pborehole = geom.set.find('vertical_borehole')
local oo = io.out('p21 vertical = '+string(fracture.geomp21(poutcrop)))
oo = io.out('p10 vertical = '+string(fracture.geomp10(pborehole)))
end
[geometry_density]
; excerptdensend
;
; CODE 7
;
; excerpttnisstart
; traces and intercepts
fracture intersection compute withgeometry 'horizontal_outcrop' ...
intersectionset 'inter_hori_out' groupslot '1'
fracture intersection compute withgeometry 'vertical_outcrop' ...
intersectionset 'inter_vert_out' groupslot '2'
fracture intersection compute withgeometry 'vertical_borehole' ...
intersectionset 'inter_vert_bore' groupslot '3'
fish define assign_extras
local set1 = fracture.inter.set.find(1)
local intlist = fracture.inter.set.interlist(set1)
loop foreach e1 intlist
local f1 = fracture.inter.end1(e1)
if type.pointer.id(f1) = fracture.typeid then
fracture.extra(f1,1) = 1
endif
endloop
local set2 = fracture.inter.set.find(2)
intlist = fracture.inter.set.interlist(set2)
loop foreach e1 intlist
f1 = fracture.inter.end1(e1)
if type.pointer.id(f1) = fracture.typeid then
fracture.extra(f1,2) = 2
endif
endloop
local set3 = fracture.inter.set.find(3)
intlist = fracture.inter.set.interlist(set3)
loop foreach e1 intlist
f1 = fracture.inter.end1(e1)
if type.pointer.id(f1) = fracture.typeid then
fracture.extra(f1,3) = 3
endif
endloop
end
[assign_extras]
; excerpttnisend
model save 'traces'
;
; CODE 8
;
; connectivity
; excerptkelxstart
fracture intersection compute intersectionset 'all'
fracture cluster groupslot '1' intersectionset 'all'
; excerptkelxend
model save 'connectivity'
;
; CODE 9
;
; excerptwlnsstart
; keep only infinite cluster
fracture intersection delete
fracture delete range group "all1" not
fracture intersection compute intersectionset 'all'
; excerptwlnsend
;
; CODE 10
;
; excerptlakestart
; filter by connected distance
geom set 'injection_section'
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
geom poly create byposition (1,1,1) (1,1,1) (1,1,1) (1,1,1)
fracture connectivity distance extraindex 6 ...
startinggeometry 'injection_section' intersectionset '5'
fracture intersection delete
fracture delete range extra 6 0 50 not
; excerptlakeend
model save 'simplification1'
;
; CODE 10
;
; excerptsnelstart
; fracture combination
fracture combine distance 1 angle 20 merge range extra 6 10 20
fracture combine distance 5 angle 45 merge range extra 6 20 30
fracture combine distance 10 angle 80 merge range extra 6 30 50
; excerptsnelend
model save 'simplification2'
Endnotes
Was this helpful? ...  Itasca Software © 2023, Itasca  Updated: Jan 18, 2024 