Description Usage Arguments Details Value Note Author(s) Examples
Calculates constant variables for each iteration prior to simulation.
1 2 | prepareSimDistributions(simSpatial, wellsPerPad, padArea, EA,
numIterations = NULL)
|
simSpatial |
List returned from |
wellsPerPad |
Number of wells per pad. May be either a constant integer or a vector of integers
the same length as the number of simulation iterations ( |
padArea |
Area of each pad. Units should be consistent with |
EA |
Oil or gas assessment list returned from |
numIterations |
Number of MC iterations to perform |
The numIterations
to perform should be less than or equal to the number of
Monte Carlo iterations used to generate the energy
assessment list EA
. If less than the number of energy assessments iterations available,
random sampling will determine the
energy assessment combinations to use.
List for use in spatial simulation [area units must be square meters]
Edited by CDMartinez 15 Nov 16
Created by CDMartinez 15 Sept 16
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | library(raster)
OGasmt = continuousAssessment(auMC = 50000,
auType = 'Gas',
auProbability = 1,
auAreaProductive = c(2220000,2800000,3742000),
auAreaDrainage = c(10,20,40),
auPercAreaUntested = c(93,96,99),
auPercAreaSweet = c(100,100,100),
auPercFutureSS = c(80,92,94),
auEURss = c(0.15,0.4,0.65),
auLGR = c(.08,.5,1),
year = 2012)
rBase = raster(resolution = c(10,10), xmn = 0, xmx = 100, ymn = 0, ymx = 100)
values(rBase) = seq(1:100)
points = rbind(c(30, 40), c(30, 50), c(40, 50), c(40, 60), c(50, 60), c(60, 60),
c(60, 50), c(50, 50), c(50, 40), c(40, 40), c(30, 40))
shape = spPolygons(points)
plot(rBase)
lines(shape)
spatialPrep = prepareSimSpatial(rBase,shape, OGasmt)
distributionPrep = prepareSimDistributions(spatialPrep,wellsPerPad = 3,
padArea = 100, EA = OGasmt, numIterations=5)
|
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