Leveraging SME Knowledge with Big Data Multiply the Value of Both

Leveraging SME Knowledge with Big Data Multiply the Value of Both

Big data

Condition monitoring

Data Analytics

Domain Knowledge

Infill drilling

Knowledge management

Regression analysis

Rubber

Seals

Wear of materials

With Managed Pressure Drilling (MPD) getting more common, its rubber seals increasingly become a source of potential downtime during drilling operations. The common approach is to provide monitoring towards relevant stakeholders via expert consultants and elaborate reporting. This is costly and time-consuming. Next to monitoring and reporting, accurate prediction of the wear and tear on the rubber seal is essential. Within technology partnership, a real-time monitoring and proactive advisory tools have successfully developed and implemented. First, a scalable data infrastructure has implemented, unifying process data from the MPD and drilling systems into a single database. Second, a hybrid seal wear prediction model has been developed, combining a model-based approach with regression analyses. Key to the success was the feedback loop between operation and engineering. This included pre-and post-run inspections and measurements on the seals tied to the operational parameters. Thirdly, repetitive reports got generated automatically for daily operations, connections and seal wear. The advanced MPD condition monitoring solution was successfully developed by combining expertise in operations and engineering with data analytics skills. It emphasizes the fact that big data works best when it is part of a solid data framework, that takes domain knowledge and users into account. Copyright 2022, Society of Petroleum Engineers.

2022-October

Van Kuilenburg, Robert

Drilling, Noble

Handels, Martijn

2022 SPE Annual Technical Conference and Exhibition, ATCE 2022, October 3, 2022 - October 5, 2022

2022

conferencePaper

26386712

10.2118/209970-MS

http://dx.doi.org/10.2118/209970-MS