Abstract
Abstract This paper presents a summary of a Wireline Logging Operations Analytics System and a patented workflow that has brought a paradigm shift to a logging operations assessment. The aim was to provide a holistic insight into logging operations and enable optimization of time, operational capability, resources, and reduction in carbon footprint. The described digital transformation initiative led to the design and implementation of an end-to-end data analytics system at scale. The process started in 2020 with the implementation of events tracking software that enabled Logging Engineers to create a comprehensive dataset containing detailed labelled wireline logging activities record with an extensive set of job metadata. The records comprise temporal depth, surface, and downhole tension data, drilling parameters log, detailed job parameters, downhole instrumentation, and time-mapped activities which constitutes a comprehensive hierarchical events tree. The operational events are either tracked during the job or identified based on a stack of raw log signatures and are captured through an interactive graphical process using a dedicated interface. To leverage the big data, sets of immersive analytics dashboards was designed to address different parties’ inquiries. The system integrates data from multiple sources and includes extensive ETL (extract, transform & load) routines. Multiple queries and further computations were applied to unveil the full value of data within the Well Logging domain including operating efficiency, incidents records, hole conditions tracking, sustainability etc. Domain knowledge paired with statistical and machine learning analyses allowed ranking performance affecting factors and establishing the variable operational performance metrics. Using the established baselines, activities duration is compared to a calculated reference, and is summarized over the attribute of interest, e.g. logging company or a crew, area, rig, conveyance, category or distinct activity, job type, time etc. Periodic summary review allows tracking the performance of Logging company in respect to established metrics by a variety of parameters. Some Logging companies have introduced Engineer's scorecard that provides performance insights and input to a competency assessment. The implemented approach moves away from a rudimentary efficiency assessment (binary productive vs non-productive time). The implemented system is a pioneer in data analytics driven solution at scale for logging operations. According to the Logging companies, it is the first exhaustive recording of logging activities in the world, that can be used to evaluate operational performance, identify, prescribe, and track the improvements.
Published Version
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