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ESDA_Main.R
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ESDA_Main.R
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# Description----
#Code for Smith et al. paper on Exploratory Spatial Data Analysis for Geothermal Resource Assessments: An Appalachian Basin Case Study
#Outline of Script:
# Load libraries, code, and data
# Note: the Loading Code and Loading Data section of this script can be skipped, and the input data loaded from the ESDA_Input_DeviatedWells.Rdata file.
# Initial Data Processing:
# Check for and remove points with negative geothermal gradients.
# Check for wells with the same spatial location. Only the deepest well at the same spatial location is retained.
# Special cases of different BHT at the same depth are handled by either assigning a more likely depth to the point, or averaging the data.
# Exploratory Spatial Data Analysis
# Check for local median deviation and select a minimum depth for BHTs
# Check for potentially rogue operators
# Check for local spatial outliers and analyze by depth rank.
# Check the performance of the ESDA methods using semi-variance compuations.
# Libraries ----
library(sp) # map plots
library(rgdal) #spatial data reading/writing
library(GISTools) #map making tools
library(dgof) #ks test for discrete distributions
library(Hmisc) #minor tick marks
library(readxl) #for Excel data reading
library(changepoint) #for changepoint analysis on the minimum BHT depth cutoff
library(gstat) #for variogram analysis
library(foreach) #parallel for loops
library(doParallel) #parallel package
library(lattice) #for plotting variograms
# Loading Code from Repositories ----
#From this Github repository
setwd("C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\ESDA\\ESDACode\\Geothermal_ESDA")
source('LocalDeviation.R')
source('ColorFunctions.R')
source('OperatorDiagnostics.R')
source('JackknifeSemivariogramConfInts.R')
#From Geothermal_DataAnalysis_CrossSections Github repository
setwd('C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\DOE Grant\\ThermalConductivity\\Geothermal_DataAnalysis_CrossSections\\Geothermal_DataAnalysis_CrossSections')
source("DealingWithDataInDuplicateLocations.R")
#From geothermal_pfa Github repository
setwd('C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\DOE Grant\\CombiningRiskFactorCode\\geothermal_pfa\\outliers')
source('outlier_identification.R')
# Loading Data and Map Layers ----
# Political boundaries----
setwd('C:/Users/jsmif/Documents/Cornell/Research/Masters - Spatial Assessment/GIS/Population Density/2013_us_state_500k')
States = readOGR(dsn=getwd(), layer="us_state_WGS", stringsAsFactors=FALSE)
NY = States[which(States$STATEFP == "36"),]
PA = States[which(States$STATEFP == "42"),]
WV = States[which(States$STATEFP == "54"),]
MD = States[which(States$STATEFP == "24"),]
KY = States[which(States$STATEFP == "21"),]
VA = States[which(States$STATEFP == "51"),]
setwd('C:/Users/jsmif/Documents/Cornell/Research/Masters - Spatial Assessment/GIS/Population Density/2013_us_countys_500k')
Counties = readOGR(dsn=getwd(), layer="us_county_WGS", stringsAsFactors=FALSE)
rm(States)
# Geologic Regions / Spatial Interpolation Regions----
InterpRegs = readOGR(dsn="C:/Users/jsmif/Documents/Cornell/Research/Masters - Spatial Assessment/Figures/BaseCorrWells", layer="AllSectionsMerged", stringsAsFactors=FALSE)
InterpRegs = spTransform(InterpRegs, CRS = CRS("+init=epsg:4326"))
#50 km bounded regions within the potential field edges - only applies to the WV regions
setwd("C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\DOE Grant\\InterpolationDataset\\NewBoundaries\\NAD_InterpolationBounds")
VR_Bounded = readOGR(dsn=getwd(), layer = 'BoundedVREdit6')
VR_Bounded = spTransform(VR_Bounded, CRS = CRS("+init=epsg:4326"))
CWV_Bounded = readOGR(dsn = getwd(), layer = 'BoundedCWV_Edit3')
CWV_Bounded = spTransform(CWV_Bounded, CRS = CRS("+init=epsg:4326"))
MT_Bounded = readOGR(dsn = getwd(), layer = 'BoundedMT_Edit')
MT_Bounded = spTransform(MT_Bounded, CRS = CRS("+init=epsg:4326"))
# Wells with surface heat flow and temperatures at depth calculated----
setwd("C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\ESDA\\ESDACode\\ESDA_Results")
Wells = read.csv('EDAWells_AllTempsThicksConds_BaseCorr_2018.csv', stringsAsFactors=FALSE)
coordinates(Wells) = c('LongDgr', 'LatDegr')
#WGS84 coordinates
proj4string(Wells) = CRS("+init=epsg:4326")
# Add operator data to the well database from the original AASG spreadsheet----
Operator = read.csv('Operators.csv', stringsAsFactors = FALSE)
Wells$Operator = ''
for (i in 1:nrow(Wells)){
Wells$Operator[i] = Operator$Operator[which(Operator$StateID == Wells$StateID[i])]
}
rm(i)
#Waco Oil and Gas operator APIs
# these were identified as "bad" data because many logs were taken upwards, but interpreted as taken downward,
# providing erroneously high temperatures in WV.
Wacos = read.csv('WacoOperatorAPIs.csv', stringsAsFactors = FALSE)
#WV APIs to match the Waco data
APIWV = read.csv('WV_APIs_StateIDs.csv', stringsAsFactors = FALSE)
#Get the state ID for each API and place in Waco
Wacos$StateID = ''
APIWV$APInum = as.numeric(strsplit(APIWV$API, split = '0000a', fixed = TRUE))
for (i in 1:nrow(Wacos)){
if (length(which(APIWV$APInum == Wacos$API[i])) > 0){
Wacos$StateID[i] = APIWV$StateID[APIWV$APInum == Wacos$API[i]]
}
}
rm(i)
# Horizontal and deviated wells for NY, PA, WV----
setwd("C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\ESDA\\DirectionalWellInvestigations")
#Add directional well data from AASG database
AASG_DeviatedWells = read.csv('DirectionalWells_AASG.csv', stringsAsFactors = FALSE)
Wells$WellShape = ''
for (i in 1:nrow(Wells)){
if(length(which(AASG_DeviatedWells$StateID == Wells$StateID[i])) > 0){
Wells$WellShape[i] = AASG_DeviatedWells$WellBoreShape[which(AASG_DeviatedWells$StateID == Wells$StateID[i])]
}
}
rm(i)
#NY - This database has some wells that are deviated by very little. May not be worth excluding these wells.
NY_DirWells = read.csv('DirectionalWellsNY.csv', stringsAsFactors = FALSE)
APINY = read.csv('NY_APIs.csv', stringsAsFactors = FALSE)
NY_DirWells$StateID = ''
for (i in 1:nrow(NY_DirWells)){
if (length(which(APINY$API == NY_DirWells$API[i])) > 0){
if(length(APINY$StateID[APINY$API == NY_DirWells$API[i]]) > 1){
for (j in 1:length(APINY$StateID[APINY$API == NY_DirWells$API[i]])){
if (j == 1){
NY_DirWells$StateID[i] = APINY$StateID[APINY$API == NY_DirWells$API[i]][j]
}else{
NY_DirWells = rbind(NY_DirWells, NY_DirWells[i,])
NY_DirWells$StateID[nrow(NY_DirWells)] = APINY$StateID[APINY$API == NY_DirWells$API[i]][j]
}
}
}else{
NY_DirWells$StateID[i] = APINY$StateID[APINY$API == NY_DirWells$API[i]]
}
}
}
rm(i,j)
#Only the wells that match with StateID number are in the AASG BHT dataset.
plot(Wells, pch = 16, cex = 0.3)
plot(Wells[Wells$StateID %in% NY_DirWells$StateID[NY_DirWells$StateID != ''],], pch = 16, cex = 0.3, col = 'red', add = T)
dev.off()
#Add a column for state database deviated wells
Wells$StateWellShape = ''
Wells@data[Wells$StateID %in% NY_DirWells$StateID[NY_DirWells$StateID != ''],]$StateWellShape = 'H'
#PA
PA_CDRs = read.csv('CDR_PALogsWithDirectionalLogs.csv', stringsAsFactors = FALSE)
PA_DirWells = read.csv('DirectionalWellsPA.csv', stringsAsFactors = FALSE)
APIPA = read.csv('PA_APIs.csv', stringsAsFactors = FALSE)
PA_CDRs$StateID = ''
PA_DirWells$StateID = ''
for (i in 1:nrow(PA_CDRs)){
if (length(which(APIPA$API == PA_CDRs$API[i])) > 0){
PA_CDRs$StateID[i] = APIPA$StateID[APIPA$API == PA_CDRs$API[i]]
}
}
rm(i)
for (i in 1:nrow(PA_DirWells)){
if (length(which(APIPA$API == PA_DirWells$API[i])) > 0){
PA_DirWells$StateID[i] = APIPA$StateID[APIPA$API == PA_DirWells$API[i]]
}
}
rm(i)
#Only the wells that match with StateID number are in the BHT dataset.
coordinates(PA_DirWells) = c('Longitude..Dec.', 'Latitude..Dec.')
proj4string(PA_DirWells) = CRS('+init=epsg:4326')
plot(Wells, pch = 16, cex = 0.3)
plot(Wells[Wells$StateID %in% PA_DirWells$StateID[PA_DirWells$StateID != ''],], pch = 16, cex = 0.3, col = 'red', add = T)
plot(Wells[Wells$StateID %in% PA_CDRs$StateID[PA_CDRs$StateID != ''],], pch = 16, cex = 0.3, col = 'red', add = T)
plot(PA_DirWells, add = T, col = 'blue')
dev.off()
#Add to column for state database deviated wells
Wells@data[Wells$StateID %in% PA_DirWells$StateID[PA_DirWells$StateID != ''],]$StateWellShape = 'H'
Wells@data[Wells$StateID %in% PA_CDRs$StateID[PA_CDRs$StateID != ''],]$StateWellShape = 'H'
#WV
WV_CompDirWells = read.csv('CompletedDirectionalWells.csv', stringsAsFactors = FALSE)
WV_PermDirWells = read.csv('PermittedDirectionalWells.csv', stringsAsFactors = FALSE)
WV_SurvsDirWells = read.csv('SurveysforDirectionalWells.csv', stringsAsFactors = FALSE)
#Get the state ID for each API and place in repsective dataset
WV_CompDirWells$StateID = ''
WV_PermDirWells$StateID = ''
WV_SurvsDirWells$StateID = ''
for (i in 1:nrow(WV_CompDirWells)){
if (length(which(APIWV$APInum == WV_CompDirWells$API.Number[i])) > 0){
WV_CompDirWells$StateID[i] = APIWV$StateID[APIWV$APInum == WV_CompDirWells$API.Number[i]]
}
}
rm(i)
for (i in 1:nrow(WV_PermDirWells)){
if (length(which(APIWV$APInum == WV_PermDirWells$API.Number[i])) > 0){
WV_PermDirWells$StateID[i] = APIWV$StateID[APIWV$APInum == WV_PermDirWells$API.Number[i]]
}
}
rm(i)
for (i in 1:nrow(WV_SurvsDirWells)){
if (length(which(APIWV$APInum == WV_SurvsDirWells$API1[i])) > 0){
WV_SurvsDirWells$StateID[i] = APIWV$StateID[APIWV$APInum == WV_SurvsDirWells$API1[i]]
}
}
rm(i)
#Only the wells that match with StateID number are in the BHT dataset.
#WV_CompDirWells Contain all the unique directional wells for the 3 datasets.
# All directional wells in BHT dataset were checked (16 total). Only a couple may be rogue entries.
#Check how far deviated at minimum these wells are
WV_CompDirWells$MinDev = sqrt((WV_CompDirWells$Surface.Loc.UTME - WV_CompDirWells$Btm.Hole.Loc.UTME)^2 + (WV_CompDirWells$Surface.Loc.UTMN - WV_CompDirWells$Btm.Hole.Loc.UTMN)^2)
hist(WV_CompDirWells$MinDev[WV_CompDirWells$StateID != ''])
plot(Wells, pch = 16, cex = 0.3)
plot(Wells[Wells$StateID %in% WV_CompDirWells$StateID[WV_CompDirWells$StateID != ''],], pch = 16, cex = 0.3, col = 'red', add = T)
dev.off()
#Add to column for state database deviated wells
Wells@data[Wells$StateID %in% WV_CompDirWells$StateID[WV_CompDirWells$StateID != ''],]$StateWellShape = 'H'
#Make a plot of the horizontal wells
png('DeviatedWells.png', res = 600, height = 6, width = 6, units = 'in')
par(mar = c(2,3,2,2))
plot(Wells, pch = 16, cex = 0.1)
plot(NY, add = T)
plot(PA, add = T)
plot(WV, add = T)
plot(MD, add = T)
plot(KY, add = T)
plot(VA, add = T)
north.arrow(xb = -75, yb = 37, len = 0.2, lab = 'N', col = 'black')
degAxis(side = 2, seq(34, 46, 2), cex.axis = 1.5)
degAxis(side = 2, seq(34, 46, 1), labels = FALSE)
degAxis(side = 4, seq(34, 46, 1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -2), cex.axis = 1.5)
degAxis(side = 3, seq(-70, -86, -1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -1), labels = FALSE)
plot(Wells[grep(Wells$WellShape, pattern = 'ert'),], col = 'black', pch = 16, cex = 0.1, add = T)
plot(Wells[Wells$WellShape == '',], col = 'yellow', pch = 16, cex = 0.1, add = T)
plot(Wells[Wells$StateWellShape == 'H',], col = 'red', pch = 16, cex = 0.1, add = T)
plot(Wells[grep(Wells$WellShape, pattern = 'zon'),], col = 'green', pch = 16, cex = 0.1, add = T)
plot(Wells[grep(Wells$WellShape, pattern = 'via'),], col = 'green', pch = 16, cex = 0.1, add = T)
plot(Wells[grep(Wells$WellShape, pattern = 'Up'),], col = 'green', pch = 16, cex = 0.1, add = T)
plot(Wells[(Wells$DpthOfM - Wells$TruVrtc > 100) & Wells$TruVrtc > 0, ], col = 'blue', pch = 16, cex = 0.1, add = T)
legend('topleft', legend=c('Vertical', 'Not Specified', 'Deviated: State Data', 'Deviated: AASG Data', "BHT Depth - TVD > 20'"), col = c('black', 'yellow', 'red', 'green', 'blue'), pch = 16)
dev.off()
#Make a database that removes the deviated data of all types
Wells_NoDeviation = Wells[-unique(c(grep(Wells$WellShape, pattern = 'zon'), grep(Wells$WellShape, pattern = 'via'), grep(Wells$WellShape, pattern = 'Up'), which(Wells$StateWellShape == 'H'))),]
Wells_NoDeviation = Wells_NoDeviation[-which((Wells_NoDeviation$DpthOfM - Wells_NoDeviation$TruVrtc > 100) & Wells_NoDeviation$TruVrtc > 0), ]
#Because some NY wells are not deviated much, try keeping those in.
Wells_NoDeviationNY = Wells[-unique(c(grep(Wells$WellShape, pattern = 'zon'), grep(Wells$WellShape, pattern = 'via'), grep(Wells$WellShape, pattern = 'Up'), which((Wells$StateWellShape == 'H') & (Wells$State != 'NY')))),]
Wells_NoDeviationNY = Wells_NoDeviationNY[-which((Wells_NoDeviationNY$DpthOfM - Wells_NoDeviationNY$TruVrtc > 100) & Wells_NoDeviationNY$TruVrtc > 0), ]
# Spicer equilibrium well temperature profiles - Saving for a different paper because these data are not public. Email authors for access.----
setwd('C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\ESDA')
Spicer = read_xlsx(path = paste0(getwd(), '/EquilibriumTempProfiles.xlsx'), sheet = 'Spicers')
coordinates(Spicer) = c("Long", "Lat")
proj4string(Spicer) = CRS("+init=epsg:4326")
#Whealton MS thesis identified pseudo-equilibrium temperature profiles
Whealton = read.csv('EquilibriumTempProfiles_LocsAdded.csv')
coordinates(Whealton) = c("Long", "Lat")
proj4string(Whealton) = CRS("+init=epsg:4326")
#Whealton MS thesis identified BHTs
setwd('C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\ESDA')
WhealtonBHTs = read.csv('WhealtonBHTsNYPA.csv', stringsAsFactors = FALSE)
WhealtonBHTs = WhealtonBHTs[is.na(WhealtonBHTs$BHT) == FALSE,]
WhealtonBHTs = WhealtonBHTs[is.na(WhealtonBHTs$LATITUDE) == FALSE,]
WhealtonBHTs = WhealtonBHTs[is.na(WhealtonBHTs$LONGITUDE) == FALSE,]
WhealtonBHTs$StateID = ''
for (i in 1:nrow(WhealtonBHTs)){
if (length(which(APINY$API == WhealtonBHTs$API[i])) > 0){
if(length(APINY$StateID[APINY$API == WhealtonBHTs$API[i]]) > 1){
for (j in 1:length(APINY$StateID[APINY$API == WhealtonBHTs$API[i]])){
if (j == 1){
WhealtonBHTs$StateID[i] = APINY$StateID[APINY$API == WhealtonBHTs$API[i]][j]
}else{
WhealtonBHTs = rbind(WhealtonBHTs, WhealtonBHTs[i,])
WhealtonBHTs$StateID[nrow(WhealtonBHTs)] = APINY$StateID[APINY$API == WhealtonBHTs$API[i]][j]
}
}
}else{
WhealtonBHTs$StateID[i] = APINY$StateID[APINY$API == WhealtonBHTs$API[i]]
}
}
}
rm(i,j)
for (i in 1:nrow(WhealtonBHTs)){
if (length(which(APIPA$API == WhealtonBHTs$API[i])) > 0){
if(length(APIPA$StateID[APIPA$API == WhealtonBHTs$API[i]]) > 1){
for (j in 1:length(APIPA$StateID[APIPA$API == WhealtonBHTs$API[i]])){
if (j == 1){
WhealtonBHTs$StateID[i] = APIPA$StateID[APIPA$API == WhealtonBHTs$API[i]][j]
}else{
WhealtonBHTs = rbind(WhealtonBHTs, WhealtonBHTs[i,])
WhealtonBHTs$StateID[nrow(WhealtonBHTs)] = APIPA$StateID[APIPA$API == WhealtonBHTs$API[i]][j]
}
}
}else{
WhealtonBHTs$StateID[i] = APIPA$StateID[APIPA$API == WhealtonBHTs$API[i]]
}
}
}
rm(i,j)
coordinates(WhealtonBHTs) = c('LONGITUDE', 'LATITUDE')
proj4string(WhealtonBHTs) = CRS('+init=epsg:4326')
plot(WhealtonBHTs, pch = 16, col = 'orange', cex = 0.2)
plot(Wells, pch = 16, cex = 0.2, add = T)
#Fixme: Cross check these wells for being deviated.
WhealtonBHTs$StateWellShape = ''
for (i in 1:nrow(WhealtonBHTs)){
if (length(which(PA_CDRs$API == WhealtonBHTs$API[i])) > 0){
WhealtonBHTs$StateWellShape[i] = 'H'
}
}
rm(i)
for (i in 1:nrow(WhealtonBHTs)){
if (length(which(PA_DirWells$API == WhealtonBHTs$API[i])) > 0){
WhealtonBHTs$StateWellShape[i] = 'H'
}
}
rm(i)
#Fixme: Check that temperatures and depths of the wells that are the same match the AASG database.
# Set working directory back to project directory----
setwd("C:\\Users\\jsmif\\Documents\\Cornell\\Research\\Publications\\ESDA\\ESDACode\\ESDA_Results")
# Save input data to a file----
save.image("ESDA_Input_DeviatedWells.RData")
# Remove Negative Gradient Wells ----
NegsAll = Wells[Wells$Gradient <= 0,]
#Deepest well that has a negative gradient
MaxDepth_NegGrad = max(NegsAll$WellDepth)
#Location of wells that have negative Gradients.
png('WellsNegativeGradients.png', res = 300, height = 5, width = 5, units = 'in')
par(mar = c(2,3,2,2))
plot(Wells, pch=16, col='black', cex = 0.3)
plot(NY, add=TRUE)
plot(PA, add=TRUE)
plot(WV, add=TRUE)
plot(MD, add=TRUE)
plot(KY, add=TRUE)
plot(VA, add=TRUE)
plot(NegsAll, pch=16, col='red', add=TRUE, cex = 0.3)
north.arrow(-75, 37.5, 0.1, lab = 'N', col='black', cex = 1.5)
degAxis(side = 2, seq(34, 46, 2), cex.axis = 1.5)
degAxis(side = 2, seq(34, 46, 1), labels = FALSE)
degAxis(side = 4, seq(34, 46, 1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -2), cex.axis = 1.5)
degAxis(side = 3, seq(-70, -86, -1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -1), labels = FALSE)
legend('topleft', legend = c('Negative Gradient', 'Other'), col = c('red', 'black'), pch = 16)
dev.off()
#Map that identifies the wells listed in Table 1 that were inspected in detail
NegGradInspected = c('WV2003', 'WV3625', 'WV3621', 'WV3627', 'WV3647', 'WV2179', 'WV2181', 'WV907', 'WV66', 'NY3797', 'NY860', 'NY1001', 'NY5198', 'PA2814')
png('WellsNegativeGradients.png', res = 300, height = 5, width = 5, units = 'in')
par(mar = c(2,3,2,2))
plot(Wells, pch=16, col='black', cex = 0.3)
plot(NY, add=TRUE)
plot(PA, add=TRUE)
plot(WV, add=TRUE)
plot(MD, add=TRUE)
plot(KY, add=TRUE)
plot(VA, add=TRUE)
plot(NegsAll, pch=16, col='red', add=TRUE, cex = 0.3)
plot(Wells[Wells$StateID %in% NegGradInspected,], pch=16, col='blue', add=TRUE, cex = 0.3)
north.arrow(-75, 39, 0.1, lab = 'N', col='black', cex = 1.5)
degAxis(side = 2, seq(34, 46, 2), cex.axis = 1.5)
degAxis(side = 2, seq(34, 46, 1), labels = FALSE)
degAxis(side = 4, seq(34, 46, 1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -2), cex.axis = 1.5)
degAxis(side = 3, seq(-70, -86, -1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -1), labels = FALSE)
legend('bottomright', legend = c('Gradient < 0', 'Gradient < 0 Source Checked', 'Gradient > 0'), col = c('red', 'blue', 'black'), pch = 16)
dev.off()
#Remove the negative gradient wells before the sorting of wells in the same spatial locations:
Wells_PosGrad = Wells[-which(Wells$Gradient <= 0),]
Wells_NoDeviation_PosGrad = Wells_NoDeviation[-which(Wells_NoDeviation$Gradient <= 0),]
Wells_NoDeviationNY_PosGrad = Wells_NoDeviationNY[-which(Wells_NoDeviationNY$Gradient <= 0),]
# Identify Wells in Same Spatial Location ----
#Note that this step is used here so that the QsDev function to calculate the
# local median surface heat flow uses only unique locations.
#Find all points that share the same location and take the deepest measurement.
Same = SameSpot(Wells_PosGrad)
SortData = SortingWells(Same$SameSpot, Same$StoreData_Frame, Wells_PosGrad, 'BHT', 'TruVrtc', 'DrllrTt', 'DpthOfM', 'WellDepth', 2)
Same_NoDev = SameSpot(Wells_NoDeviation_PosGrad)
SortData_NoDev = SortingWells(Same_NoDev$SameSpot, Same_NoDev$StoreData_Frame, Wells_NoDeviation_PosGrad, 'BHT', 'TruVrtc', 'DrllrTt', 'DpthOfM', 'WellDepth', 2)
Same_NoDevNY = SameSpot(Wells_NoDeviationNY_PosGrad)
SortData_NoDevNY = SortingWells(Same_NoDevNY$SameSpot, Same_NoDevNY$StoreData_Frame, Wells_NoDeviationNY_PosGrad, 'BHT', 'TruVrtc', 'DrllrTt', 'DpthOfM', 'WellDepth', 2)
write.csv(SortData$Sorted, "SortedUniqueSpots_AllTemps_ESDA_2018.csv")
write.csv(SortData$RerunWells, "RerunWells_AllTemps_ESDA_2018.csv")
#Number of records in full dataset
N_Wells_PosGrad = length(Wells_PosGrad)
#Number of locations with records in same spatial coordinates
N_LocsSameCoords = nrow(unique(Wells_PosGrad@coords[as.numeric(colnames(Same$StoreData_Frame)),]))
#Number of unique spatial locations after sorting
N_UniqueLocsPostSort = length(SortData$Sorted)
#Number of records in same spatial location
N_RecordsSameLoc = length(Same$StoreData_Frame)
#Number of locations with multiple BHTs at same depth that should be rerun because they did not have depth field information
N_RecordsMultipleBHTsSameDepth = length(SortData$RerunWells)
#58 points in 27 unique locations have a different BHT measurement at the same depth.
BHTsDiffSameDepth = length(unique(SortData$IndsDifferent))
BHTsDiffSameDepth_UniqueLocs = nrow(unique(Wells_PosGrad[SortData$IndsDifferent,]@coords))
#Used to see how many wells had a CensorTemp controlled output. Max of about 13 C
SortData_TestCensor = SortingWells(Same$SameSpot, Same$StoreData_Frame, Wells_PosGrad, 'BHT', 'TruVrtc', 'DrllrTt', 'DpthOfM', 'WellDepth', Inf)
#Locations dropped as a result of censoring
N_LocsDroppedTempCensor = nrow(unique(Wells_PosGrad@coords[unique(SortData$IndsCensTemp),]))
#The wells that are rerun should overwrite the last rows in SortedUniqueSopts
#Load in the wells that were rerun and add them to the SortData$Sorted
Rerun = read.csv('SortedUniqueSpots_AllTemps_ESDA_RerunAdded.csv', stringsAsFactors = FALSE)
Rerun = Rerun[c((nrow(Rerun) - (nrow(SortData$RerunWells) - 1)):nrow(Rerun)),]
Rerun$APINo = SortData$RerunWells$APINo
#Fixme: this is not generalized. Could be made cleaner.
SortData$Sorted@data[c((nrow(SortData$Sorted) - (nrow(SortData$RerunWells) - 1)):nrow(SortData$Sorted)),seq(1,ncol(Rerun)-4,1)] = Rerun[,-c(1,8,9,ncol(Rerun))]
SortData_NoDev$Sorted@data[c((nrow(SortData_NoDev$Sorted) - (nrow(SortData_NoDev$RerunWells) - 1)):nrow(SortData_NoDev$Sorted)),seq(1,ncol(Rerun)-4,1)] = Rerun[-nrow(Rerun),-c(1,8,9,ncol(Rerun))]
SortData_NoDevNY$Sorted@data[c((nrow(SortData_NoDevNY$Sorted) - (nrow(SortData_NoDevNY$RerunWells) - 1)):nrow(SortData_NoDevNY$Sorted)),seq(1,ncol(Rerun)-4,1)] = Rerun[,-c(1,8,9,ncol(Rerun))]
#Using IndsDeepSmallerBHT, check how many deeper data points have a greater temperature than shallower data points.
# Wells_PosGrad[as.numeric(colnames(Same$StoreData_Frame[which(Same$StoreData_Frame[which(as.numeric(colnames(Same$StoreData_Frame)) == unique(SortData$IndsDeepSmallerBHT)[3]),] == 1)])),]
#Check how many of these are greater than 2 degrees or so
Rows = vector('numeric')
for (i in 1:length(unique(SortData$IndsDeepSmallerBHT))){
BHTs = Wells_PosGrad$BHT[as.numeric(colnames(Same$StoreData_Frame[which(Same$StoreData_Frame[which(as.numeric(colnames(Same$StoreData_Frame)) == unique(SortData$IndsDeepSmallerBHT)[i]),] == 1)]))]
Depths = Wells_PosGrad$WellDepth[as.numeric(colnames(Same$StoreData_Frame[which(Same$StoreData_Frame[which(as.numeric(colnames(Same$StoreData_Frame)) == unique(SortData$IndsDeepSmallerBHT)[i]),] == 1)]))]
if ((max(BHTs) - max(BHTs[Depths == max(Depths)])) > 2){
Rows = c(Rows, Wells_PosGrad$RowID_[as.numeric(colnames(Same$StoreData_Frame[which(Same$StoreData_Frame[which(as.numeric(colnames(Same$StoreData_Frame)) == unique(SortData$IndsDeepSmallerBHT)[i]),] == 1)]))])
}
}
N_DeepBHTSmaller = length(Rows)
rm(Rows,BHTs,i,Depths)
# Line plots of the heat flow vs. depth of BHT measurement for the wells in the same spot----
#Fixme: Add equilibrium and pseudo-equilibrium well data to this plot, or make a new plot for these data
PlotSpots = function(Wells_PosGrad, #Must have a column named WellDepth
Same){
# Make a copy of the database to track the wells in the same spatial location for this plot only.
PlotSpots = Wells_PosGrad@data
PlotSpots$LongDgr = Wells_PosGrad@coords[,1]
PlotSpots$LatDegr = Wells_PosGrad@coords[,2]
# The wells in the same spot will be assigned the same number in a field named SameSpot
PlotSpots$SameSpot = NA
#Track number of locations
count = 1
for (i in 1:nrow(Same$StoreData_Frame)){
#Only take the unique spots that have more than 1 point
if ((any(Same$StoreData_Frame[i,] == 1) & is.na(PlotSpots$SameSpot[as.numeric(colnames(Same$StoreData_Frame)[i])])) == TRUE){
#Have not checked this spot yet. Gather all well indicies with the same spatial location.
Indxs = as.numeric(colnames(Same$StoreData_Frame[which(Same$StoreData_Frame[i,] == 1)]))
#Assign a number to these wells in the same spot
PlotSpots$SameSpot[Indxs] = count
count = count + 1
}
}
rm(Indxs, count,i)
#Sort data by the same spot location number
PlotSpots = PlotSpots[order(PlotSpots$SameSpot),]
#Retain only data in same spot as other data
PlotSpots = PlotSpots[which(is.na(PlotSpots$SameSpot) == FALSE),]
#Sort by the depth of the deepest well in the set of points
for (i in 1:length(unique(PlotSpots$SameSpot))){
#Determine how many wells there are in the same spot
indxs = which(PlotSpots$SameSpot == i)
#Sort only these wells and place the sorted data in those rows
PlotSpots[indxs,] = PlotSpots[indxs,][order(PlotSpots$WellDepth[indxs]),]
}
rm(i, indxs)
#Sort groups of wells by the shallowest well.
#Obtain index of shallowest well for each location
indxShallow = vector('numeric', length(unique(PlotSpots$SameSpot)))
for (j in 1:length(unique(PlotSpots$SameSpot))){
indxShallow[j] = which(PlotSpots$SameSpot == j)[1]
}
for (i in 1:length(unique(PlotSpots$SameSpot))){
#Sort only these wells and place the sorted data in those rows
NewInds = PlotSpots$SameSpot[indxShallow][order(PlotSpots$WellDepth[indxShallow])]
}
rm(indxShallow, i, j)
#Make new database for the final plotting of points.
#All PlotFinal records will be overwritten or deleted in the following for loop.
PlotFinal = PlotSpots
#index of data in the PlotFinal database - removing duplicate records.
len = 1
LocCheck = 0
RemCheck = 0
for (i in 1:length(unique(PlotSpots$SameSpot))){
#Determine how many wells there are in the same spot
indxs = which(PlotSpots$SameSpot == NewInds[i])
if (anyDuplicated(PlotSpots$BHT[indxs]) != 0){
#Find the indices that have same BHT
res = which(PlotSpots$BHT[indxs] %in% unique(PlotSpots$BHT[indxs][duplicated(PlotSpots$BHT[indxs])]) == TRUE)
#Of those, find indices with the same well depth
dpth = which(PlotSpots$WellDepth[indxs][res] %in% unique(PlotSpots$WellDepth[indxs][res][duplicated(PlotSpots$WellDepth[indxs][res])]) == TRUE)
#If they all have the same BHT, check if they have the same depth.
if ((length(res) == length(indxs)) & (length(dpth) == length(indxs))){
#Check if there are two or more sets of duplicate records (e.g. 4 total records, 2 duplicates)
if (nrow(unique(PlotSpots[indxs, c('WellDepth', 'BHT')])) > 1){
#Retain the unique records, and drop the remaining
#Drop
Drop = nrow(PlotSpots[indxs, c('WellDepth', 'BHT')]) - nrow(unique(PlotSpots[indxs, c('WellDepth', 'BHT')]))
PlotFinal = PlotFinal[-((nrow(PlotFinal) - (Drop-1)):nrow(PlotFinal)),]
#Overwrite the records in PlotFinal. These are the new data.
indxs = indxs[which(rownames(PlotSpots[indxs, c('WellDepth', 'BHT')]) %in% rownames(unique(PlotSpots[indxs, c('WellDepth', 'BHT')])))]
PlotFinal[len:(len + (length(indxs)-1)),] = PlotSpots[indxs,]
len = len + length(indxs)
RemCheck = RemCheck + Drop
}else{
LocCheck = LocCheck + 1
#Do not record this in the PlotFinal database. Well has only 1 measurement. Remove the last length(indxs) rows. They are not needed.
PlotFinal = PlotFinal[-((nrow(PlotFinal) - (length(indxs)-1)):nrow(PlotFinal)),]
RemCheck = RemCheck + length(indxs)
}
}else{
if (length(dpth) > 0){
#Remove duplicate records, except 1. Keep all others.
dups = which(duplicated(x = PlotSpots[indxs,c('BHT', 'WellDepth')]) == TRUE)
indxs = indxs[-dups]
# Remove the last length(dups) rows from the database. They are not needed.
PlotFinal = PlotFinal[-((nrow(PlotFinal) - (length(dups)-1)):nrow(PlotFinal)),]
RemCheck = RemCheck + length(dups)
}
#Overwrite the records in PlotFinal. These are the new data.
PlotFinal[len:(len + (length(indxs)-1)),] = PlotSpots[indxs,]
len = len + length(indxs)
}
}else{
#Overwrite the records in PlotFinal. These are the new data.
PlotFinal[len:(len + (length(indxs)-1)),] = PlotSpots[indxs,]
len = len + length(indxs)
}
}
rm(PlotSpots, i, len, indxs, dpth, res, NewInds, Drop, dups)
return(PlotFinal)
}
PlotFinal = PlotSpots(Wells_PosGrad, Same)
PlotFinal_NoDev = PlotSpots(Wells_NoDeviation_PosGrad, Same_NoDev)
PlotFinal_NoDevNY = PlotSpots(Wells_NoDeviationNY_PosGrad, Same_NoDevNY)
#Colors by location, sorted by the highest Qs to lowest in shallowest measurement
PlotColPal = colorRampPalette(colors = c('red', 'orange', 'yellow', 'green', 'blue', 'purple'))
cols = PlotColPal(length(unique(PlotFinal$SameSpot)))
cols_NoDev = PlotColPal(length(unique(PlotFinal_NoDev$SameSpot)))
cols_NoDevNY = PlotColPal(length(unique(PlotFinal_NoDevNY$SameSpot)))
#Make plot
png('SameSpotWells_QsVsDepth_colrev.png', res = 600, units = 'in', width = 7, height = 7)
par(mar = c(4.5, 5, 1.5, 1.5), xaxs='i', yaxs='i')
for (i in 1:length(unique(PlotFinal$SameSpot))){
if (i == 1){
plot(PlotFinal$WellDepth[which(PlotFinal$SameSpot == PlotFinal$SameSpot[length(unique(PlotFinal$SameSpot)) + 1 - i])], PlotFinal$Qs[which(PlotFinal$SameSpot == PlotFinal$SameSpot[length(unique(PlotFinal$SameSpot)) + 1 - i])], type = 'o', col = cols[length(unique(PlotFinal$SameSpot)) + 1 - i], pch = 16, xlim = c(0,3500), ylim = c(0,250), xlab = 'BHT Depth (m)', ylab = expression('Surface Heat Flow' ~ (mW/m^2)), cex.axis = 1.5, cex.lab = 1.5)
}else{
plot(PlotFinal$WellDepth[which(PlotFinal$SameSpot == PlotFinal$SameSpot[length(unique(PlotFinal$SameSpot)) + 1 - i])], PlotFinal$Qs[which(PlotFinal$SameSpot == PlotFinal$SameSpot[length(unique(PlotFinal$SameSpot)) + 1 - i])], type = 'o', col = cols[length(unique(PlotFinal$SameSpot)) + 1 - i], pch = 16, xlim = c(0,3500), ylim = c(0,250), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
legend('topright', legend = c('Shallowest BHT for Location is Shallow', '', '', 'Shallowest BHT for Location is Deep'), col = c('red', 'yellow', 'green', 'purple'), pch = 16, lty = 1)
dev.off()
png('SameSpotWells_QsVsDepth_colrev_NoDevWells.png', res = 600, units = 'in', width = 7, height = 7)
par(mar = c(4.5, 5, 1.5, 1.5), xaxs='i', yaxs='i')
for (i in 1:length(unique(PlotFinal_NoDev$SameSpot))){
if (i == 1){
plot(PlotFinal_NoDev$WellDepth[which(PlotFinal_NoDev$SameSpot == PlotFinal_NoDev$SameSpot[length(unique(PlotFinal_NoDev$SameSpot)) + 1 - i])], PlotFinal_NoDev$Qs[which(PlotFinal_NoDev$SameSpot == PlotFinal_NoDev$SameSpot[length(unique(PlotFinal_NoDev$SameSpot)) + 1 - i])], type = 'o', col = cols[length(unique(PlotFinal_NoDev$SameSpot)) + 1 - i], pch = 16, xlim = c(0,3500), ylim = c(0,250), xlab = 'BHT Depth (m)', ylab = expression('Surface Heat Flow' ~ (mW/m^2)), cex.axis = 1.5, cex.lab = 1.5)
}else{
plot(PlotFinal_NoDev$WellDepth[which(PlotFinal_NoDev$SameSpot == PlotFinal_NoDev$SameSpot[length(unique(PlotFinal_NoDev$SameSpot)) + 1 - i])], PlotFinal_NoDev$Qs[which(PlotFinal_NoDev$SameSpot == PlotFinal_NoDev$SameSpot[length(unique(PlotFinal_NoDev$SameSpot)) + 1 - i])], type = 'o', col = cols[length(unique(PlotFinal_NoDev$SameSpot)) + 1 - i], pch = 16, xlim = c(0,3500), ylim = c(0,250), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
legend('topright', legend = c('Shallowest BHT for Location is Shallow', '', '', 'Shallowest BHT for Location is Deep'), col = c('red', 'yellow', 'green', 'purple'), pch = 16, lty = 1)
dev.off()
png('SameSpotWells_QsVsDepth_colrev_NoDevWellsNY.png', res = 600, units = 'in', width = 7, height = 7)
par(mar = c(4.5, 5, 1.5, 1.5), xaxs='i', yaxs='i')
for (i in 1:length(unique(PlotFinal_NoDevNY$SameSpot))){
if (i == 1){
plot(PlotFinal_NoDevNY$WellDepth[which(PlotFinal_NoDevNY$SameSpot == PlotFinal_NoDevNY$SameSpot[length(unique(PlotFinal_NoDevNY$SameSpot)) + 1 - i])], PlotFinal_NoDevNY$Qs[which(PlotFinal_NoDevNY$SameSpot == PlotFinal_NoDevNY$SameSpot[length(unique(PlotFinal_NoDevNY$SameSpot)) + 1 - i])], type = 'o', col = cols[length(unique(PlotFinal_NoDevNY$SameSpot)) + 1 - i], pch = 16, xlim = c(0,3500), ylim = c(0,250), xlab = 'BHT Depth (m)', ylab = expression('Surface Heat Flow' ~ (mW/m^2)), cex.axis = 1.5, cex.lab = 1.5)
}else{
plot(PlotFinal_NoDevNY$WellDepth[which(PlotFinal_NoDevNY$SameSpot == PlotFinal_NoDevNY$SameSpot[length(unique(PlotFinal_NoDevNY$SameSpot)) + 1 - i])], PlotFinal_NoDevNY$Qs[which(PlotFinal_NoDevNY$SameSpot == PlotFinal_NoDevNY$SameSpot[length(unique(PlotFinal_NoDevNY$SameSpot)) + 1 - i])], type = 'o', col = cols[length(unique(PlotFinal_NoDevNY$SameSpot)) + 1 - i], pch = 16, xlim = c(0,3500), ylim = c(0,250), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
legend('topright', legend = c('Shallowest BHT for Location is Shallow', '', '', 'Shallowest BHT for Location is Deep'), col = c('red', 'yellow', 'green', 'purple'), pch = 16, lty = 1)
dev.off()
rm(PlotColPal, cols, i, cols_NoDev, cols_NoDevNY)
#Transform to spatial data
coordinates(PlotFinal) = c('LongDgr', 'LatDegr')
proj4string(PlotFinal) = CRS('+init=epsg:4326')
coordinates(PlotFinal_NoDev) = c('LongDgr', 'LatDegr')
proj4string(PlotFinal_NoDev) = CRS('+init=epsg:4326')
coordinates(PlotFinal_NoDevNY) = c('LongDgr', 'LatDegr')
proj4string(PlotFinal_NoDevNY) = CRS('+init=epsg:4326')
# Map of which states have the most duplicate measurements----
png('Barplot_PointsSameSpatialLocationStates.png', res = 300, width = 8, height = 5, units = 'in')
layout(rbind(c(1,2)))
counts = table(PlotFinal$State)
#counts = table(Wells_PosGrad$State[as.numeric(colnames(Same$StoreData_Frame))])
barplot(counts, ylim = c(0,700), xlab = 'State', ylab = 'Frequency', main = 'Points Sharing Spatial Coordinates', cex.axis = 1.5, cex.lab = 1.5)
#map
#plot(Wells_PosGrad[as.numeric(colnames(Same$StoreData_Frame)),], pch = 16, cex = 0.3, col = 'grey')
plot(PlotFinal, pch = 16, cex = 0.3, col = 'white')
plot(NY, lwd = 2, add=TRUE)
plot(PA, lwd = 2, add=TRUE)
plot(WV, lwd = 2, add=TRUE)
plot(MD, lwd = 2, add=TRUE)
plot(KY, lwd = 2, add=TRUE)
plot(VA, lwd = 2, add=TRUE)
plot(PlotFinal, pch = 16, cex = 0.3, col = 'grey', add = TRUE)
north.arrow(-75, 37, 0.1, lab = 'N', col='black', cex = 1.5)
degAxis(side = 2, seq(34, 46, 2), cex.axis = 1.5)
degAxis(side = 2, seq(34, 46, 1), labels = FALSE)
degAxis(side = 4, seq(34, 46, 1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -2), cex.axis = 1.5)
degAxis(side = 3, seq(-70, -86, -1), labels = FALSE)
degAxis(side = 1, seq(-70, -86, -1), labels = FALSE)
dev.off()
rm(counts)
# Plots of BHTs in the same spot vs. unique spatial location----
#Sort by BHT
PlotFinal = PlotFinal[rev(order(PlotFinal$BHT)),]
PlotFinal_NoDev = PlotFinal_NoDev[rev(order(PlotFinal_NoDev$BHT)),]
PlotFinal_NoDevNY = PlotFinal_NoDevNY[rev(order(PlotFinal_NoDevNY$BHT)),]
#Sort by Well Depth
#PlotFinal = PlotFinal[rev(order(PlotFinal$WellDepth)),]
png('SameSpotWells_BHTVsLocation.png', res = 600, units = 'in', width = 7, height = 7)
par(mar = c(4.5, 5, 1.5, 1.5))
for (i in 1:length(unique(PlotFinal$SameSpot))){
#Indices for the deepest wells at a location
indsMaxDepth = which(PlotFinal$WellDepth[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])] == max(PlotFinal$WellDepth[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])]))
if (i == 1){
#Record used coordinates
Coords = PlotFinal[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i]),][1,]
#All others black
plot(rep(i,length(PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])])), PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal$SameSpot))), ylim = c(0,140), xlab = 'Same Spot Well', ylab = expression(paste('BHT (', degree, 'C)')), cex.axis = 1.5, cex.lab = 1.5)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes=FALSE)
}else if (nrow(zerodist(rbind(PlotFinal[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i]),][1,], Coords))) == 0){
#Record used coordinates
Coords = rbind(PlotFinal[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i]),][1,], Coords)
#All others black
plot(rep(i,length(PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])])), PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes = FALSE)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal$SameSpot))), ylim = c(0,140), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
dev.off()
png('SameSpotWells_BHTVsLocation_NoDeviation.png', res = 600, units = 'in', width = 7, height = 7)
par(mar = c(4.5, 5, 1.5, 1.5))
for (i in 1:length(unique(PlotFinal_NoDev$SameSpot))){
#Indices for the deepest wells at a location
indsMaxDepth = which(PlotFinal_NoDev$WellDepth[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])] == max(PlotFinal_NoDev$WellDepth[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])]))
if (i == 1){
#Record used coordinates
Coords = PlotFinal_NoDev[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i]),][1,]
#All others black
plot(rep(i,length(PlotFinal_NoDev$BHT[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])])), PlotFinal_NoDev$BHT[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev$SameSpot))), ylim = c(0,140), xlab = 'Same Spot Well', ylab = expression(paste('BHT (', degree, 'C)')), cex.axis = 1.5, cex.lab = 1.5)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_NoDev$BHT[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes=FALSE)
}else if (nrow(zerodist(rbind(PlotFinal_NoDev[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i]),][1,], Coords))) == 0){
#Record used coordinates
Coords = rbind(PlotFinal_NoDev[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i]),][1,], Coords)
#All others black
plot(rep(i,length(PlotFinal_NoDev$BHT[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])])), PlotFinal_NoDev$BHT[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes = FALSE)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_NoDev$BHT[which(PlotFinal_NoDev$SameSpot == unique(PlotFinal_NoDev$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev$SameSpot))), ylim = c(0,140), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
dev.off()
rm(indsMaxDepth, Coords, i)
# Split by wells that have deeper BHT as smaller value----
#Figure out which wells have the deeper BHT as smaller in value
DeepBHTSmaller = function(PlotFinal){
PlotFinal$IndsDeepSmallBHT = 0
for (i in 1:length(unique(PlotFinal$SameSpot))){
#Indices for the deepest wells at a location
indsMaxDepth = which(PlotFinal$WellDepth[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])] == max(PlotFinal$WellDepth[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])]))
if (nrow(PlotFinal[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i]),][-indsMaxDepth,]) >= 1){
for (temp in 1:length(indsMaxDepth)){
if (any(PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])][indsMaxDepth[temp]] < PlotFinal$BHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])][-indsMaxDepth])){
PlotFinal$IndsDeepSmallBHT[which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])] = 1
}
}
}
}
rm(i, indsMaxDepth, temp)
return(PlotFinal)
}
PlotFinal = DeepBHTSmaller(PlotFinal)
PlotFinal_DeepBHTsLarge = PlotFinal[PlotFinal$IndsDeepSmallBHT == 0,]
PlotFinal_DeepBHTsSmall = PlotFinal[PlotFinal$IndsDeepSmallBHT == 1,]
PlotFinal_NoDev = DeepBHTSmaller(PlotFinal_NoDev)
PlotFinal_NoDev_DeepBHTsLarge = PlotFinal_NoDev[PlotFinal_NoDev$IndsDeepSmallBHT == 0,]
PlotFinal_NoDev_DeepBHTsSmall = PlotFinal_NoDev[PlotFinal_NoDev$IndsDeepSmallBHT == 1,]
PlotFinal_NoDevNY = DeepBHTSmaller(PlotFinal_NoDevNY)
PlotFinal_NoDevNY_DeepBHTsLarge = PlotFinal_NoDevNY[PlotFinal_NoDevNY$IndsDeepSmallBHT == 0,]
PlotFinal_NoDevNY_DeepBHTsSmall = PlotFinal_NoDevNY[PlotFinal_NoDevNY$IndsDeepSmallBHT == 1,]
png('SameSpotWells_BHTVsLocation_SortDeepBHTSmaller.png', res = 600, units = 'in', width = 12, height = 6)
par(mar = c(4.5, 5, 1.5, 1.5))
layout(rbind(c(1,2)))
#Plot deep BHTs that are larger first
for (i in 1:length(unique(PlotFinal_DeepBHTsLarge$SameSpot))){
#Indices for the deepest wells at a location
indsMaxDepth = which(PlotFinal_DeepBHTsLarge$WellDepth[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])] == max(PlotFinal_DeepBHTsLarge$WellDepth[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])]))
if (i == 1){
#Record used coordinates
Coords = PlotFinal_DeepBHTsLarge[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i]),][1,]
#All others black
plot(rep(i,length(PlotFinal_DeepBHTsLarge$BHT[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])])), PlotFinal_DeepBHTsLarge$BHT[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsLarge$SameSpot))), ylim = c(0,140), xlab = 'Sorted Location ID', ylab = expression(paste('BHT (', degree, 'C)')), main = 'Deepest BHT is Largest', cex.axis = 1.5, cex.lab = 1.5)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_DeepBHTsLarge$BHT[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsLarge$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes=FALSE)
}else if (nrow(zerodist(rbind(PlotFinal_DeepBHTsLarge[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i]),][1,], Coords))) == 0){
#Record used coordinates
Coords = rbind(PlotFinal_DeepBHTsLarge[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i]),][1,], Coords)
#All others black
plot(rep(i,length(PlotFinal_DeepBHTsLarge$BHT[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])])), PlotFinal_DeepBHTsLarge$BHT[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsLarge$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes = FALSE)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_DeepBHTsLarge$BHT[which(PlotFinal_DeepBHTsLarge$SameSpot == unique(PlotFinal_DeepBHTsLarge$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsLarge$SameSpot))), ylim = c(0,140), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
#Plot deep BHTs that are smaller
for (i in 1:length(unique(PlotFinal_DeepBHTsSmall$SameSpot))){
#Indices for the deepest wells at a location
indsMaxDepth = which(PlotFinal_DeepBHTsSmall$WellDepth[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])] == max(PlotFinal_DeepBHTsSmall$WellDepth[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])]))
if (i == 1){
#Record used coordinates
Coords = PlotFinal_DeepBHTsSmall[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i]),][1,]
#All others black
plot(rep(i,length(PlotFinal_DeepBHTsSmall$BHT[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])])), PlotFinal_DeepBHTsSmall$BHT[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsSmall$SameSpot))), ylim = c(0,140), xlab = 'Sorted Location ID', ylab = expression(paste('BHT (', degree, 'C)')), main = 'Deepest BHT is Not Largest', cex.axis = 1.5, cex.lab = 1.5)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_DeepBHTsSmall$BHT[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsSmall$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes=FALSE)
}else if (nrow(zerodist(rbind(PlotFinal_DeepBHTsSmall[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i]),][1,], Coords))) == 0){
#Record used coordinates
Coords = rbind(PlotFinal_DeepBHTsSmall[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i]),][1,], Coords)
#All others black
plot(rep(i,length(PlotFinal_DeepBHTsSmall$BHT[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])])), PlotFinal_DeepBHTsSmall$BHT[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsSmall$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes = FALSE)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_DeepBHTsSmall$BHT[which(PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_DeepBHTsSmall$SameSpot))), ylim = c(0,140), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
legend('topright', legend = c('Deepest BHTs', 'Other BHTs'), col = c('red', 'black'), pch = 16, lty = 1, cex = 1.5)
dev.off()
png('SameSpotWells_BHTVsLocation_SortDeepBHTSmaller_NoDeviation.png', res = 600, units = 'in', width = 12, height = 6)
par(mar = c(4.5, 5, 1.5, 1.5))
layout(rbind(c(1,2)))
#Plot deep BHTs that are larger first
for (i in 1:length(unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot))){
#Indices for the deepest wells at a location
indsMaxDepth = which(PlotFinal_NoDev_DeepBHTsLarge$WellDepth[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])] == max(PlotFinal_NoDev_DeepBHTsLarge$WellDepth[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])]))
if (i == 1){
#Record used coordinates
Coords = PlotFinal_NoDev_DeepBHTsLarge[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i]),][1,]
#All others black
plot(rep(i,length(PlotFinal_NoDev_DeepBHTsLarge$BHT[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])])), PlotFinal_NoDev_DeepBHTsLarge$BHT[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot))), ylim = c(0,140), xlab = 'Sorted Location ID', ylab = expression(paste('BHT (', degree, 'C)')), main = 'Deepest BHT is Largest', cex.axis = 1.5, cex.lab = 1.5)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_NoDev_DeepBHTsLarge$BHT[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes=FALSE)
}else if (nrow(zerodist(rbind(PlotFinal_NoDev_DeepBHTsLarge[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i]),][1,], Coords))) == 0){
#Record used coordinates
Coords = rbind(PlotFinal_NoDev_DeepBHTsLarge[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i]),][1,], Coords)
#All others black
plot(rep(i,length(PlotFinal_NoDev_DeepBHTsLarge$BHT[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])])), PlotFinal_NoDev_DeepBHTsLarge$BHT[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes = FALSE)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_NoDev_DeepBHTsLarge$BHT[which(PlotFinal_NoDev_DeepBHTsLarge$SameSpot == unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsLarge$SameSpot))), ylim = c(0,140), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
#Plot deep BHTs that are smaller
for (i in 1:length(unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot))){
#Indices for the deepest wells at a location
indsMaxDepth = which(PlotFinal_NoDev_DeepBHTsSmall$WellDepth[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])] == max(PlotFinal_NoDev_DeepBHTsSmall$WellDepth[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])]))
if (i == 1){
#Record used coordinates
Coords = PlotFinal_NoDev_DeepBHTsSmall[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i]),][1,]
#All others black
plot(rep(i,length(PlotFinal_NoDev_DeepBHTsSmall$BHT[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])])), PlotFinal_NoDev_DeepBHTsSmall$BHT[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot))), ylim = c(0,140), xlab = 'Sorted Location ID', ylab = expression(paste('BHT (', degree, 'C)')), main = 'Deepest BHT is Not Largest', cex.axis = 1.5, cex.lab = 1.5)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_NoDev_DeepBHTsSmall$BHT[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes=FALSE)
}else if (nrow(zerodist(rbind(PlotFinal_NoDev_DeepBHTsSmall[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i]),][1,], Coords))) == 0){
#Record used coordinates
Coords = rbind(PlotFinal_NoDev_DeepBHTsSmall[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i]),][1,], Coords)
#All others black
plot(rep(i,length(PlotFinal_NoDev_DeepBHTsSmall$BHT[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])])), PlotFinal_NoDev_DeepBHTsSmall$BHT[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])], type = 'o', col = 'black', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot))), ylim = c(0,140), xlab = '', ylab = '', axes = FALSE)
par(new=TRUE)
#Max depth wells red
plot(rep(i, length(indsMaxDepth)), PlotFinal_NoDev_DeepBHTsSmall$BHT[which(PlotFinal_NoDev_DeepBHTsSmall$SameSpot == unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot)[i])][indsMaxDepth], type = 'o', col = 'red', pch = 16, xlim = c(0,length(unique(PlotFinal_NoDev_DeepBHTsSmall$SameSpot))), ylim = c(0,140), axes = FALSE, xlab = '', ylab = '')
}
par(new = TRUE)
}
par(new = FALSE)
minor.tick(nx=5,ny=5)
legend('topright', legend = c('Deepest BHTs', 'Other BHTs'), col = c('red', 'black'), pch = 16, lty = 1, cex = 1.5)
dev.off()
rm(i, indsMaxDepth, Coords)
# Check how many of the Deep BHTs that are smaller are more than 2 degrees different----
RowsDeepBHTSmallerBy2C_Counter = vector('numeric')
DiffBHTsSameDepth = vector('numeric')
for (i in 1:length(unique(PlotFinal_DeepBHTsSmall$SameSpot))){
BHTs = PlotFinal_DeepBHTsSmall$BHT[PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i]]
Depths = PlotFinal_DeepBHTsSmall$WellDepth[PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i]]
DiffBHTsSameDepth = c(DiffBHTsSameDepth, (max(BHTs) - max(BHTs[Depths == max(Depths)])))
if ((max(BHTs) - max(BHTs[Depths == max(Depths)])) > 2){
RowsDeepBHTSmallerBy2C_Counter = c(RowsDeepBHTSmallerBy2C_Counter, PlotFinal_DeepBHTsSmall$RowID_[PlotFinal_DeepBHTsSmall$SameSpot == unique(PlotFinal_DeepBHTsSmall$SameSpot)[i]])
}
}
rm(i, BHTs, RowsDeepBHTSmallerBy2C_Counter, Depths)
#Histogram of the differences between the deepest and shallower BHTs
hist(DiffBHTsSameDepth, breaks = 300)
dev.off()
# Nugget Effect for wells in the same spatial location ----
#Fixme: Add nugget analysis for equilibrium wells.
#Compute the Nugget Effect for points in the same spatial location.
#Make a data frame to store the locations, average nugget, number of nuggets calculated, min, max, and sd of the nugget
#Note: This is slower and provides the same result as using the PlotFinal, as done below.
# LocsNugs2 = matrix(0, ncol=9, nrow=1)
# colnames(LocsNugs2) = c('RowID_', 'POINT_X', 'POINT_Y', 'Nugget', 'Max', 'Min', 'Sd', 'PtPairs', 'NumPts')
# count=0
# #Mark the index with a 1 when it is used.
# IndsUsed = vector('numeric', length=nrow(Same$StoreData_Frame))
# for (i in 1:nrow(Same$StoreData_Frame)){
# #Only take the unique spots that have more than 1 point
# if (any(Same$StoreData_Frame[i,] == 1) & IndsUsed[i] != 1){
# #Gather all well indicies with the same spatial location.
# Indxs = as.numeric(colnames(Same$StoreData_Frame[which(Same$StoreData_Frame[i,] == 1)]))
# #Mark that this spatial location has now been checked by marking the indices.
# IndsUsed[which(colnames(Same$StoreData_Frame) %in% Indxs)] = 1
# #Check to see if any of the values have the same heat flow. That means the record was a duplicate, and the nugget should not be counted for these.
# Test = Wells_PosGrad$Qs[Indxs]
# if (length(unique(Test)) != 1){
# #There are unique BHTs for this well compute the nugget only for those wells that are unique records.
# Nug = vector('numeric', length=length(unique(Test)))
# VarioPts = matrix(0, nrow=length(Nug), ncol=length(Nug))
# for (j in 1:length(Nug)){
# VarioPts[j,] = ((unique(Test) - unique(Test)[j]))^2/2
# }
# Nug = VarioPts[lower.tri(VarioPts)]
# #Store spatial location of point and nugget information
# if (nrow(LocsNugs2) == 1 & Nug[1] != 0 & count == 0){
# LocsNugs2[1,] = c(Wells_PosGrad$RowID_[Indxs[1]], Wells_PosGrad$LongDgr[Indxs[1]], Wells_PosGrad$LatDegr[Indxs[1]], mean(Nug), max(Nug), min(Nug), sd(Nug), length(Nug), length(unique(Test)))
# count = 1
# }
# else if (count == 1){
# LocsNugs2 = rbind(LocsNugs2, c(Wells_PosGrad$RowID_[Indxs[1]], Wells_PosGrad$LongDgr[Indxs[1]], Wells_PosGrad$LatDegr[Indxs[1]], mean(Nug), max(Nug), min(Nug), sd(Nug), length(Nug), length(unique(Test))))
# }
# }
# }
# }
# rm(count, i, j, Indxs, Test, IndsUsed, Nug, VarioPts)
#
# write.csv(LocsNugs2, 'NuggetLocations.csv')
LocsNugs = matrix(0, ncol=9, nrow=length(unique(PlotFinal$SameSpot)))
colnames(LocsNugs) = c('RowID_', 'POINT_X', 'POINT_Y', 'Nugget', 'Max', 'Min', 'Sd', 'PtPairs', 'NumPts')
for (i in 1:nrow(LocsNugs)){
#Gather all well indicies with the same spatial location.
Indxs = which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])
#Get the surface heat flow for these wells in the same location
Test = PlotFinal$Qs[Indxs]
#Compute nugget
VarioPts = matrix(0, nrow=length(Test), ncol=length(Test))
for (j in 1:length(Test)){
VarioPts[j,] = ((Test - Test[j]))^2/2
}
Nug = VarioPts[lower.tri(VarioPts)]
#Store spatial location of point and nugget information. Take only first index
LocsNugs[i,] = c(PlotFinal$RowID_[Indxs[1]], PlotFinal@coords[Indxs[1],1], PlotFinal@coords[Indxs[1],2], mean(Nug), max(Nug), min(Nug), sd(Nug), length(Nug), length(Test))
}
rm(i, j, Indxs, Test, Nug, VarioPts)
write.csv(LocsNugs, 'NuggetLocations_2018.csv')
LocsNugs_Deeper1km = matrix(0, ncol=9, nrow=length(unique(PlotFinal$SameSpot)))
colnames(LocsNugs_Deeper1km) = c('RowID_', 'POINT_X', 'POINT_Y', 'Nugget', 'Max', 'Min', 'Sd', 'PtPairs', 'NumPts')
for (i in 1:nrow(LocsNugs_Deeper1km)){
#Gather all well indicies with the same spatial location.
Indxs = which(PlotFinal$SameSpot == unique(PlotFinal$SameSpot)[i])
#Check if at least 2 points are deeper than 1 km
if (length(which(PlotFinal$WellDepth[Indxs] >= 1000)) > 1){
#Get the surface heat flow for these wells in the same location
Test = PlotFinal$Qs[Indxs][PlotFinal$WellDepth[Indxs] >= 1000]
#Compute nugget
VarioPts = matrix(0, nrow=length(Test), ncol=length(Test))
for (j in 1:length(Test)){
VarioPts[j,] = ((Test - Test[j]))^2/2
}
Nug = VarioPts[lower.tri(VarioPts)]
#Store spatial location of point and nugget information. Take only first index
LocsNugs_Deeper1km[i,] = c(PlotFinal$RowID_[Indxs[1]], PlotFinal@coords[Indxs[1],1], PlotFinal@coords[Indxs[1],2], mean(Nug), max(Nug), min(Nug), sd(Nug), length(Nug), length(Test))
}
}
LocsNugs_Deeper1km = LocsNugs_Deeper1km[LocsNugs_Deeper1km[,1] != 0,]
rm(i, j, Indxs, Test, Nug, VarioPts)
write.csv(LocsNugs_Deeper1km, 'NuggetLocations_Deeper1km_2018.csv')
#Add interpolation section to the nugget locations
LocsNugs = as.data.frame(LocsNugs)
coordinates(LocsNugs) = c('POINT_X', 'POINT_Y')
proj4string(LocsNugs) = CRS('+init=epsg:4326')
LocsNugs_Deeper1km = as.data.frame(LocsNugs_Deeper1km)
coordinates(LocsNugs_Deeper1km) = c('POINT_X', 'POINT_Y')
proj4string(LocsNugs_Deeper1km) = CRS('+init=epsg:4326')
LocsNugs$Reg = NA
LocsNugs$Reg[as.numeric(rownames(LocsNugs[InterpRegs[1,],]@data))] = InterpRegs$Name[1]
LocsNugs$Reg[as.numeric(rownames(LocsNugs[InterpRegs[2,],]@data))] = InterpRegs$Name[2]
LocsNugs$Reg[as.numeric(rownames(LocsNugs[InterpRegs[3,],]@data))] = InterpRegs$Name[3]