prepareSimDistributions: Prepare simulation inputs related to the oil and gas...

In madorning/energySim0.1.0: Spatial Energy Simulation: Linking Subsurface to Surface Resources

Description

Calculates constant variables for each iteration prior to simulation.

Usage

prepareSimDistributions(simSpatial, wellsPerPad, padArea, EA,
  numIterations = NULL)

Arguments

simSpatial	List returned from prepareSimSpatial
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 (numIterations) to perform.
padArea	Area of each pad. Units should be consistent with EA units. May be either a constant integer or a vector of integers the same length as the number of simulation iterations (numIterations) to perform.
EA	Oil or gas assessment list returned from continuousAssessment. Suggest converting to square meters using convertAcre2sqMeter prior to using this function.
numIterations	Number of MC iterations to perform

Details

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.

Value

List for use in spatial simulation [area units must be square meters]

Note

Edited by CDMartinez 15 Nov 16

Author(s)

Created by CDMartinez 15 Sept 16

Examples

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)

madorning/energySim0.1.0 documentation built on May 22, 2019, 2:23 p.m.