How to Use Automation to Improve Log Quality Control Process for Multiple Wells

The first ever well-log was recorded by Schlumberger, in 1927, 93 years ago, and since then a large number and variety of well-logs have been acquired, processed and stored to characterize various properties of rocks and fluids in a formation. The right characterization of these properties is essential to make good commercial decisions to develop these hydrocarbon reservoirs. Due to challenges related to complex formations, borehole environments, data acquired by different service companies, with potentially different technologies, calibrations or vintage, the first step is to quality control (QC) these logs. A key challenge, often encountered, is working with well-log data acquired over many decades which can be difficult to use straight away due to different legacy data formats, missing or inconsistent units and/or properties associated with well-logs, and multiple repeat or duplicated logs present across the same interval. These challenges make manual quality analysis and processing tedious, a problem which is further exaggerated in a high volume multi well setting. In such a setting, detecting log types, unit issues, best data in repeat sections can be cumbersome. A robust workflow to select logs for further interpretation and analysis workflows must be put in place.