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Prepares a simulation data frame with the regenerations that were performed in the past but without assumung new ones in the future

Usage

prepare_simulation_donothing_df(
  model_data = dwc.wells::model_data_reduced,
  rehabs = dwc.wells::rehabs,
  operational_start = dwc.wells::operational_start,
  sim_interval = 1L,
  sim_period = 60L,
  sim_reference_date = as.Date("2021-05-01"),
  predicted_parameter = "Qs_rel"
)

Arguments

model_data

(reduced) model data set as retrieved by model_data_reduced, will be merged with but filtering out duplicated columns (i.e. 'well_age_years', 'n_rehab' and 'time_since_rehab_years') and name of "predicted_parameter"

rehabs

rehabiliations dataset as retrieved by rehabs

operational_start

operational start dataset as retrieved by operational_start

sim_interval

simulation interval in years at which predictions should be performed (default: 1L)

sim_period

simulation period in years since operational start of each production well (default: 60L)

sim_reference_date

(default: as.Date("2021-05-01")), used to generate fill up column 'type' with 'past' (< sim_reference_date) and 'future' (>= sim_reference_date)

predicted_parameter

name of predicted parameter (default: "Qs_rel")

Value

simulation data frame