## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ---- eval = FALSE, warning = FALSE------------------------------------------- # install.packages("Raquifer") ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = c(0,0.368,2.439,4.957,7.732,11.926,18.126,30.044) * 365, unit = "day") parameters <- aquifer_param(input_unit = "Field", output_unit = "Field", model = "uss", flow_type = "radial", water_drive = "edge", phi = 0.27, perm_h = 64.2, h_a = 20, r_a = 5 * 14892, r_R = 14892, tetha = 180, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) aqu_time parameters pred_veh <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_veh) pred_veh %>% ggplot(aes(x = `Time (days)`, y = `We (MMbbl)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = c(0,0.368,2.439,4.957,7.732,11.926,18.126,30.044) * 365, unit = "day") parameters <- aquifer_param(input_unit = "Field", output_unit = "Field", model = "uss", flow_type = "radial", water_drive = "bottom", phi = 0.27, perm_h = 64.2, perm_v = 64.2, h_a = 20, r_a = 5 * 14892, r_R = 14892, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) pred_ykh <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_ykh) pred_ykh %>% ggplot(aes(x = `Time (days)`, y = `We (MMbbl)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = c(0,0.368,2.439,4.957,7.732,11.926,18.126,30.044) * 365, unit = "day") parameters <- aquifer_param(input_unit = "Field", output_unit = "Field", model = "pss", flow_type = "radial", water_drive = "edge", phi = 0.27, perm_h = 64.2, h_a = 20, r_a = 5 * 14892, r_R = 14892, tetha = 180, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) pred_fetk <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_fetk) pred_fetk %>% ggplot(aes(x = `Time (days)`, y = `We (MMbbl)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = c(0,0.368,2.439,4.957,7.732,11.926,18.126,30.044) * 365, unit = "day") parameters <- aquifer_param(input_unit = "Field", output_unit = "Field", model = "uss", flow_type = "linear", water_drive = "edge", phi = 0.27, perm_h = 64.2, h_a = 20, w_a = 29784, l_a = 161145, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) pred_nb_01 <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_nb_01) pred_nb_01 %>% ggplot(aes(x = `Time (days)`, y = `We (MMbbl)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = c(0,0.368,2.439,4.957,7.732,11.926,18.126,30.044) * 365, unit = "day") parameters <- aquifer_param(input_unit = "Field", output_unit = "Field", model = "uss", flow_type = "linear", water_drive = "bottom", phi = 0.27, perm_v = 64.2, h_a = 20, w_a = 29784, l_a = 161145, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) pred_nb_02 <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_nb_02) pred_nb_02 %>% ggplot(aes(x = `Time (days)`, y = `We (MMbbl)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = c(0,0.368,2.439,4.957,7.732,11.926,18.126,30.044) * 365, unit = "day") parameters <- aquifer_param(input_unit = "Field", output_unit = "Field", model = "pss", flow_type = "linear", water_drive = "edge", phi = 0.27, perm_h = 64.2, h_a = 20, w_a = 29784, l_a = 161145, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) parameters pred_fetk_02 <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_fetk_02) pred_fetk_02 %>% ggplot(aes(x = `Time (days)`, y = `We (MMbbl)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = c(0,0.368,2.439,4.957,7.732,11.926,18.126,30.044) * 365, unit = "day") parameters <- aquifer_param(input_unit = "Field", output_unit = "Field", model = "pss", flow_type = "linear", water_drive = "bottom", phi = 0.27, perm_v = 64.2, h_a = 20, w_a = 29784, l_a = 161145, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) pred_fetk_03 <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_fetk_03) pred_fetk_03 %>% ggplot(aes(x = `Time (days)`, y = `We (MMbbl)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = seq(as.Date("2020/1/1"), by = "year", length.out = 8), unit = "date") parameters <- aquifer_param(input_unit = "Field", output_unit = "SI", model = "uss", flow_type = "radial", water_drive = "edge", phi = 0.27, perm_h = 64.2, h_a = 20, r_a = 5 * 14892, r_R = 14892, tetha = 180, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) aqu_time parameters pred_veh <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_veh) pred_veh %>% ggplot(aes(x = `Time (days)`, y = `We (m3)`)) + geom_point(size = 3, color = "blue") + theme_bw() ## ---- fig.width = 6, fig.height= 4, fig.align = "center", warning = TRUE------ library(Raquifer) library(ggplot2) library(magrittr) aqu_time <- aquifer_time(x = 1:8, unit = "month") parameters <- aquifer_param(input_unit = "Field", output_unit = "SI", model = "uss", flow_type = "radial", water_drive = "edge", phi = 0.27, perm_h = 64.2, h_a = 20, r_a = 5 * 14892, r_R = 14892, tetha = 180, mu_water = 0.485, c_water = 3.88e-6, c_rock = 2e-6, pressure = c(1640,1600,1400,1200,1000,800,600,400)) aqu_time parameters pred_veh <- aquifer_predict(aquifer_lst = parameters, time_lst = aqu_time) head(pred_veh) pred_veh %>% ggplot(aes(x = `Time (months)`, y = `We (m3)`)) + geom_point(size = 3, color = "blue") + theme_bw()