processed_logs.append(log)
### 9. electrofacies ###
# define curves to use in electofaceis module #
electro_logs = ['GR_N', 'RESDEEP_N', 'NPHI_N', 'RHOB_N', 'PE_N']
# specifiy to use logarithmically scaled RESDEEP_N #
scaled = ['RESDEEP_N']
# calculate electrofacies for the processed logs #
final_logs = ptr.electrofacies(processed_logs,
f,
electro_logs,
6,
log_scale=scaled)
### Third Iteration ###
for log in final_logs:
### 1. export statistics ###
log.statistics_to_csv('wfmp_processed_las/wfmp_statistics.csv',
replace=True,
formations=f,
curves=stats_curves)
### 2. export data ###
### 9. electrofacies ### # define curves to use in electofaceis module # electro_logs = ['GR_N', 'RESDEEP_N', 'NPHI_N', 'RHOB_N', 'PE_N'] # make a list of Log objects as input # logs = [log] # calculate electrofacies for the defined logs# # over the specified formations # # finding 6 clusters of electrofacies # # with RESDEEP_N logarithmically scaled # logs = ptr.electrofacies(logs, f, electro_logs, 6, log_scale=['RESDEEP_N']) # unpack log object from returned list # log = logs[0] ### 10. statistics ### # define list of curves to find statistics # stats_curves = ['OIP', 'BVH', 'PHIE', 'SW', 'VCLAY', 'TOC'] # calculate stats over specified formation and# # save to csv file wfmp_statistics.csv # # update the line if the well, formation is # # already included in the csv file #