HomeGlobal Europe Europe Events ER Virtual Event Detail Page

Machine Learning Workflow

Let's Connect Webinar Series

Occurred Wednesday, 1 July 2020, 12:00 p.m.–1:00 p.m.  |  London, England

short course image
 
 

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.

 
Machine Learning Workflow
London AAPG Region Office
LondonCity of London
United Kingdom
Recorded Presentation

This recording is free to watch. Click on the picture or the title of the video to begin watching online.

Sunil Garg
Marta Diaz Events and Office Administrator
Virtual Delegate Bag
Click on the logos to reveal items

What Can I Do?

Add Item

Enter Notes:
 
* You must be logged in to name and customize your collection.
Recommend Recommend
Printable Version Printable Version Email to a friend Email to a friend

AAPG Non-endorsement Policy

The American Association of Petroleum Geologists (AAPG) does not endorse or recommend any products and services that may be cited, used or discussed in AAPG publications or in presentations at events associated with AAPG.