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Name
agr — Adjust grid to points and well data
Syntax
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agr hiname [dis fixed_radius] [rad radius_factor] *max* max_radius [sav] [conic] [tensor [fac influencefactor]] |
Description
The agr command is used for adjusting a grid to the z-values of a point-dataset in workspace. A common agr operation is to adjust a map to the values found in a well. The grid must be the active dataset.
Arguments
hiname
Ajust the grid to points in workspace hiname.
dis fixed_radius
Use a fixed radius fixed_radius distance around each point.
rad radius_factor
Use an influence radius around each point that is: radius_factor * vertical_distance_from_surface_to_point
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.
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Default radius_factor
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is 5.
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The
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default
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is
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used
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if
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this
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argument
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is
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left
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out.
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max max_radius
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Use a maximum influence distance of max_radius around each point.
sav
Save the correction grid into workspace ^savagr. This grid can be used for inspection and documentation of the corrections.
tensor
Use b-spline tensor modeling (bell shaped) to model the differences.
fac influencefactor
Apply an influence factor in tensor modeling.
Examples
Ex.1: Generate grid and cube
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set i 0 ; # initialize i # adjust grid 5 times while {$i lt 5} { agr ggg dis 5000 ; # adjust grid in workspace to points in workspace ggg using a fixed radius of 5000. incr i ; # add one to i } {noformat} |
To
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achieve
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good
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results
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with
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the
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agr
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command
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one
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should
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repeat
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the
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operations
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a
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few
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times
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to
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secure
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that
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the
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updating
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towards
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the
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different
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points
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stabilizes
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in
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such
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a
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way
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that
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an
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updating
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in
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one
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point
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do
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not
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harm
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the
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adjacent
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points.
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Ex.2:
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Update
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grid
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to
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well
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data
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Adjusting
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grids
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is
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handled
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in
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the
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command
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object
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found
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by
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grid
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>
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Grid
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Operations
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>
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Update
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grid
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to
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well
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data*.
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The
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example
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below
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is
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an
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excerpt
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from
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that
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code.
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# example of using agr to update a grid # well data is located in workspace welldata # the grid to be updated is in active mhi updatedgrid ; # the grid is saved in updated grid set radius 5000 ; # radius of updating set iterations 10 ; # max iterations set iter 1 ; # initiate a loop variable set tell 0 ; # initiate a counter variable while {$iter == 1} { mlo updatedgrid ; # move low updatedgrid set rad [expr $radius * (1 - 0.06 * $tell)] agr welldata rad $rad ; # adjust grid using an influence radius mhi updatedgrid ; # move high updated grid mlo welldata ; # move down welldata zap dif updatedgrid ; # zap and get difference to grid # well data differences to the grid is in the scalar part set zmi [gvar zsmin] ; # get scalar zmin set zma [gvar zsmax] ; # get scalar zmax set val [expr $zmi + $zma] ; # add min and max if {$val lt< 1 amp&& $val > -1} {set iter 0} ; # check difference and stop if OK mlo updatedgrid ; # move low updatedgrid incr tell ; # increment the tell variable if {$tell >= $iterations} { ; # test if counter is greater than max iterations break ; # break the loop } } # the result is now in updatedgrid {noformat} !att:_img_ref^cmd_agr_viewports.png|thumbnail,border=1,width=300! _The grid in the example above is displayed in a viewport presentation before and after updating with *agr*_ h2. See also [grp], [zap] |
The grid in the example above is displayed in a viewport presentation before and after updating with agr
See also
grp - Grid points and lines, zap - Zap (or snap) to data