Description Usage Arguments Details Value Note Author(s) References Examples
View source: R/functionsContinuousAccumulationsMatrix.R
Implements rank correlation method proposed by Iman & Conover (1982).
1 | enforceRankCorrelation(auMC, auAreaDrainage, auEURss, auEURns = NULL, year)
|
auMC |
number of MC iterations to perform |
auAreaDrainage |
Uncertainty about average drainage area of wells: |
auEURss |
Uncertainty about sweet spot average EUR (MMBO for oil; BCFG for gas): |
auEURns |
Uncertainty about non-sweet spot average EUR (MMBO for oil; BCFG for gas): |
year |
Year [XXXX] of factsheet publication of assessment numbers. |
Assumes correlation matrix C
required by USGS Continuous Assessment
methodology between mean drainage area, sweet spot EUR, and non-sweet spot EUR
C = rbind(c(1,.5,.5),c(0.5,1,0),c(0.5,0,1))
.
As of July 2016, the standard 'z-score' for the EUR distribution is implemented as 2.326 (99%).
Assigning year
<= 1 will assume zscore of 3.09 (99.9%) as used in
conventionalAssessment
EUR distributions since approximately 2013.
Matrix of correlated variables in each row. Individual columns are DrainageArea
,
EURsweetSpot
,EURnonSweetSpot
.
Edited by CDMartinez 08 Dec 15
Created by CDMartinez 10 Nov 15
Iman, Ronald L, and W J Conover, 1982, A Distribution-free approach to inducing rank correlation among input variables. Communications in statistics - Simulation and Computation 11(3), 311-34.
1 2 3 | enforceRankCorrelation(auMC = 50000,
auAreaDrainage = c(10,20,40),
auEURss=c(0.15,0.4,0.65),year=2016)
|
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