`subscript.welltest_dpds.welltest_dpds`

class subscript.welltest_dpds.welltest_dpds.CustomFormatter(prog, indent_increment=2, max_help_position=24, width=None): Multiple inheritance used for argparse to get both defaults and raw description formatter

subscript.welltest_dpds.welltest_dpds.genobs_vec(filen, vec, time)

Adjust vector to time axis defined by observation file. Used to create output compatible with ERTs GENERAL_OBSERVATION file format and directy comparable with output from eg Kappa Saphir. Note; csv files exported from Saphir are separated with and contain headers with space which makes parsing fragile.

Parameters:

filen – (str) csv file to extract time axis from, using colomn dTime
vec – (np.array) Vector to remap onto the axis
time – (np.array) Original time axis

Returns:

(np.array)

Return type:

gen_data

subscript.welltest_dpds.welltest_dpds.get_buildup_indices(rates)

Go through the simulated rate and identify bu periods, as defined by zero flow.

Parameters:: rates – np.array
Returns:: (list) indices associated with start of buildups buildup_end_indices : (list) indices associated with end of buildups
Return type:: buildup_indices

subscript.welltest_dpds.welltest_dpds.get_parser()

Define the argparse parser

Returns:: parser (argparse.ArgumentParser)

subscript.welltest_dpds.welltest_dpds.main()

Main entry point for the script

Args:

Returns:: pass

subscript.welltest_dpds.welltest_dpds.summary_vec(summary, key, required=True)

Read vector corresponding to key from summary instance

Parameters:

summary – (resdata.summary.Summary)
key – (str)
required – (bool)

Returns:

np.array

Return type:

vec

subscript.welltest_dpds.welltest_dpds.supertime(time, rate, bu_start_ind, bu_end_ind)

Calculate supertime

Parameters:

time (np.array)
rate (np.array)
bu_start_ind (int)
bu_end_ind (int)

Returns:

supertime (np.array)

subscript.welltest_dpds.welltest_dpds.to_csv(filen, field_list, header_list=None, start=0, end=None, sep=',')

Dump vectors to csv file. Handles arbitrarly number of fields

Parameters:

filen (str)
field_list (list of np.array)
header_list (list of str)
start (int)
end (int)
sep (str)

Returns:

pass

subscript.welltest_dpds.welltest_dpds.weighted_avg_press_time_derivative_lag1(delta_p, dspt)

Compute weighted average of pressure time derivative, one time step to each side. Lag1

Formula: ( (dp_f/dspt_f)*dspt_b + (dp_b/dspt_b)*dspt_f )/(dspt_f + dspt_b)

spt is SuperPositionedTime and dspt is delta spt

Parameters:

dp (np.array)
dspt (np.array)

Returns:

dpdspt_weighted (np.array)

subscript.welltest_dpds.welltest_dpds.weighted_avg_press_time_derivative_lag2(delta_p, dspt, super_time, wbhp, bu_start_ind, bu_end_ind)

Compute weighted average using LAG 2 for pressure time derivative

Parameters:

delta_p (np.array)
dspt (np.array)
supertime (np.array)
wbhp (np.array)
bu_start_ind (int)
bu_end_ind (int)

Returns:

dpdspt_weighted_lag2 (np.array)

subscript.welltest_dpds.welltest_dpds

`subscript.welltest_dpds.welltest_dpds`