Update structural Models in Real Time using Machine Learning

https://seg.zoom.us/webinar/register/WN_IkCzXT6aT8mE5qY_3YR0yg

Topic

Update structural Models in Real Time using Machine Learning

Description

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.

Time

Jun 25, 2020 08:00 AM in Central Time (US and Canada)