Standardization of Large Volumes of Log Data

$2.00

E. T.. Connolly, Imperial Oil Enterprises Ltd

Canadian Well Logging Society
Second Formation Evaluation Symposium
Calgary Inn
May 6-7-8, 1968

1968

Abstract

a large area, many problems arise in data-gathering. Con- sider an area of 50 x 75 miles, containing 400 wells that sider an area of 50 x 75 miles, containing 400 wells that are 4,000′ – 7,000′ deep, with an average of 4 lots per are 4,000′ – 7,000′ deep, with an average of 4 lots per well. Complicate the data by using four different service well. Complicate the data by using four different service companies, and change logging engineers between runs. Vary companies, and change logging engineers between runs. Vary the physical conditions of logging from 70OF to -400F. The the physical conditions of logging from 70OF to -400F. The result. is that all manner of errors appear on the logs. All result. is that all manner of errors appear on the logs. All imaginable scales are used on these logs and data quality imaginable scales are used on these logs and data quality ranges from excellent to outright stupid. Reducing this ranges from excellent to outright stupid. Reducing this data to standard formats is a large task that requires data to standard formats is a large task that requires four major steps: four major steps: 1. Normalize all curves to standard scales, to eliminate 1. Normalize all curves to standard scales, to eliminate severe calibration. errors.