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Update Structural Models In Real Time Using Machine Learning While Drilling

Includes a Live Event on 08/13/2019 at 9:30 AM (EDT)

This presentation and demonstration will focus on a machine learning workflow in the upstream Oil and Gas domain to predict formation tops by applying artificial intelligence and machine learning techniques to learn the well logs signatures. This deep learning model provides high quality predictions to aid the geologists in picking lithology markers consistently and in an accelerated fashion thus boosting their operational efficiency. The self-learning model, which is a unique differentiator of dataVediK and encompasses the detection of outliers and data quality issues and their subsequent validation and suggested corrections to improve the quality of data in an automated fashion during the model training process. The demo will then showcase a real-time drilling solution built using this ML model, whereby the formation tops are predicted, and the structural model is updated automatically as the GR log is acquired.

Sunil Garg

Founder and CEO, dataVediK

Mr. Garg is the founder and CEO of dataVediK, an early stage startup specializing in Consulting, Big Data, Data Analytics, Machine Learning and end-to-end Data Ecosystems for Oil & Gas industry. Prior to this, he spent 20+ years establishing and growing Data Management, Big Data and Analytics business for Schlumberger. Sunil is a sought-after speaker at various industry conferences and also conducts Big Data, Machine Learning and Blockchain trainings for the Industry, the Government and the Academia.

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Webinar
08/13/2019 at 9:30 AM (EDT)   |  90 minutes
08/13/2019 at 9:30 AM (EDT)   |  90 minutes
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Certificate
0.15 CEU/1.5 PDH credits  |  Certificate available
0.15 CEU/1.5 PDH credits  |  Certificate available