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Automated Rig State Identification Using Machine Learning Algorithms

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Course Credit: 0.15 CEU, 1.5 PDH

In the era of the Fourth Industrial Revolution (IR 4.0), the advancement in technology empowered engineers with integrated tools to help achieve maximum operation efficiency. These tools can use diverse types of data from high-level corporate reports to data generated by physical sensors attached to the equipment in remote operation fields. The low oil prices and the realization of the new industry revolution encouraged many oil companies and major rig contractors to utilize advanced technologies to further optimize the operation and reduce the operating cost.

In the oil and gas drilling industry, modern rigs are already equipped with tens of sensors to collect vast types of data. This data is then fed into software that employs artificial intelligent (AI) and machine learning algorithms to translate the raw data into information that can be used to derive knowledge. The analysis of such data was shown to be very successful in reducing the invisible lost time (ILT) and increasing the operational performance. The key building block of such analysis is the classification of the rig operation at micro-scale, i.e., the identification of the rig state.

This presentation will strive to give an overview of the key components to build a fully automated system to identify rig states and provide rig operations performance key performance indicators (KPIs). Starting with the data requirement, feature engineering, machine learning, and how the sensor’s noise can be reduced in real-time. It will also provide information on drilling operation’s specific challenges (such as KPI validation) and how it can be addressed. Finally, we will discuss lessons learned of running such a system, and how such an effort can establish the foundation of advanced data science driven solutions.
All content contained within this webinar is copyrighted by Dr. Majed Alzahrani and its use and/or reproduction outside the portal requires express permission from Dr. Majed Alzahrani.

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Course Chapters

  • 1Automated Rig State Identification Using Machine Learning Algorithms - Chapter 1
    Media Type: Video


Earn credits by completing this course0.15 CEU credit1.5 PDH credits


Dr. Majed Alzahrani