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📄 gslib help sasim.htm

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<HTML><HEAD><TITLE>GSLIB Help: SASIM</TITLE>
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<H2>GSLIB Help Page: SASIM</H2></CENTER>
<DL>
  <DT><IMG height=14 alt=o src="GSLIB Help SASIM.files/ball.red.gif" width=14> 
  <STRONG>Description:</STRONG> 
  <UL>
    <LI><TT>sasim</TT> allows conditional simulations of a continuous variable 
    honoring any combination of the following input statistics: histogram, 
    variogram, indicator variograms, correlation coefficient with a secondary 
    variable, or conditional distributions with a secondary variable. </LI></UL>
  <DT><IMG height=14 alt=o src="GSLIB Help SASIM.files/ball.red.gif" width=14> 
  <STRONG>Parameters:</STRONG> 
  <UL>
    <LI><B>objhist, objvarg, objivar, objcorr, objcpdf:</B> binary flags that 
    specify whether or not a component objective function will be considered 
    (set to 1 if yes, 0 if not). 
    <LI><B>sclhist, sclvarg, sclivar, sclcorr, sclcpdf:</B> user imposed scaling 
    factors that will multiply the scaling factors that the program 
    automatically calculates (see section V.6). 
    <LI><B>ilog:</B> if set to 1, the logarithm (base 10) of the variable will 
    be considered. This is appropriate for positively skewed variables with 
    large variance. 
    <LI><B>nsim:</B> the number of realizations to generate. 
    <LI><B>nx, xmn, xsiz:</B> definition of the grid system (<I>x</I> axis). 
    <LI><B>ny, ymn, ysiz:</B> definition of the grid system (<I>y</I> axis). 
    <LI><B>nz, zmn, zsiz:</B> definition of the grid system (<I>z</I> axis). 
    <LI><B>seed:</B> random number seed (a large odd integer). 
    <LI><B>idbg:</B> an integer debugging level between 0 and 3. 
    <LI><B>dbgfl:</B> the file for the debugging output. 
    <LI><B>outfl:</B> the output grid is written to this file. The output file 
    will contain the results, cycling fastest on <I>x</I> then <I>y</I> then 
    <I>z</I> then simulation by simulation. 
    <LI><B>isas:</B> the annealing schedule (next set of parameters) can be set 
    explicitly or it can be set automatically (0=automatic,1=then use the next 
    three lines of input). 
    <LI><B>t0, redfac, ka, k, num, omin:</B> the annealing schedule: initial 
    temperature, the reduction factor, the maximum number of perturbations at 
    any one given temperature, and the target number of acceptable perturbations 
    at a given temperature, the stopping number (maximum number of times that 
    the <B>ka</B> is reached), and a low objective function value indicating 
    convergence. 
    <LI><B>maxpert:</B> the maximum number of perturbations (will be scaled by 
    <B>nx</B> x <B>ny</B> x <B>nz</B>) 
    <LI><B>report:</B> After a fixed number of swaps (<B>report</B> scaled by 
    <B>nx</B> x <B>ny</B> x <B>nz</B>) the objective function is written to the 
    screen and the debugging file. 
    <LI><B>icond:</B> set to 1 if there is conditioning data (0 implies no 
    conditioning data). 
    <LI><B>condfl:</B> an input data file with the conditioning data (simplified 
    Geo-EAS format). If this file does not exist then an unconditional 
    simulation is generated. 
    <LI><B>icolx, icoly, icolz,</B> and <B>icolvr:</B> the column numbers for 
    the <I>x,y,</I> and <I>z</I> coordinates and the variable to be simulated. 
    One or two of the coordinate column numbers can be set to zero which 
    indicates that the simulation is 2-D or 1-D. 
    <LI><B>tmin</B> and <B>tmax:</B> all values strictly less than <B>tmin</B> 
    and strictly greater than <B>tmax</B> are ignored. 
    <LI><B>ihist:</B> set to 1 if the histogram should be taken from the 
    following file (set to 0 if not). 
    <LI><B>histfl:</B> an input data file with the histogram in simplified 
    Geo-EAS format. 
    <LI><B>icolvr,</B> and <B>icolwt:</B> the column numbers for the variable to 
    be simulated and a declustering weight. 
    <LI><B>nquant:</B> number of quantiles for the histogram objective function 
    <LI><B>nivar:</B> number of indicator variograms to consider. The threshold 
    values (in units of the primary variable) are input next and the variograms 
    are input directly after the direct variogram of the primary variable with 
    the same format. 
    <LI><B>ithreshold:</B> The threshold values (in units of the primary 
    variable) for the indicator variograms 
    <LI><B>secfl:</B> an input data file with the secondary variable model 
    (needed if cosimulation is being performed) 
    <LI><B>icolsec:</B> the column number for the secondary variable in 
    <B>secfl</B> 
    <LI><B>vertavg:</B> if set to 1, then the correlation applies to the 
    secondary variable and a vertical average of the variable being simulated. 
    Otherwise, the secondary variable is considered at each grid node location. 
    <LI><B>corrcoef:</B> The correlation coefficient (used if the fourth 
    component objective function is turned on). 
    <LI><B>bivfl:</B> an input data file with the bivariate data to define the 
    conditional distributions (simplified Geo-EAS format) 
    <LI><B>icolpri</B> and <B>icolsec:</B> the column numbers for the primary 
    and secondary variables in <B>bivfl</B> 
    <LI><B>tmin</B> and <B>tmax:</B> all values strictly less than <B>tmin</B> 
    and strictly greater than <B>tmax</B> are ignored. 
    <LI><B>npricut:</B> number of thresholds to define the conditional 
    distributions of the primary variable within a class of the secondary 
    variable. 
    <LI><B>nseccut:</B> number of thresholds to define the classes of secondary 
    variable. 
    <LI><B>nlag:</B> the number of variogram lags to consider in the objective 
    function. The closest <B>nlag</B> lags, measured in terms of variogram 
    distance, are retained. 
    <LI><B>istand:</B> a flag specifying whether or not to standardize the sill 
    of the semivariogram to the variance of the univariate distribution 
    (<B>istand=1</B> will standardize). It is essential that the variance of the 
    values of the initial random image matches the spatial (dispersion) variance 
    implied by the variogram model. That dispersion variance should be equal to 
    the total sill if it exists (i.e., a power model has not been used) and the 
    size of the field is much larger than the largest range in the variogram 
    model. 
    <LI><B>nst</B> and <B>c0:</B> the number of variogram structures and the 
    isotropic nugget constant 
    <LI>For each of the <B>nst</B> nested structures one must define <B>it</B>, 
    the type of structure; <B>cc</B>, the <I>c</I> parameter; 
    <B>ang1,ang2,ang3</B>, the angles defining the geometric anisotropy; 
    <B>aa_hmax</B>, the maximum horizontal range; <B>aa_hmin</B>, the minimum 
    horizontal range; and <B>aa_vert</B>, the vertical range. A detailed 
    description of these parameters is given in section II.3. 
    <LI>Indicator variograms follow the definition of the direct primary 
    variable variogram. </LI></UL></DT></DL><IMG height=8 alt=--- 
src="GSLIB Help SASIM.files/line.blue.gif" width=652>
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