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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
        }
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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
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!att:_img_ref^cmd_agr_viewports.png|border=1,width=500!
_The grid in the example above is displayed in a viewport presentation before and after updating with *agr*_

h2. See also

[grp], [zap - Zap (or snap) to data]
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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