A Novel Multiagent Collaborative Learning Architecture for Automatic Recognition of Mudstone Rock Facies

A Novel Multiagent Collaborative Learning Architecture for Automatic Recognition of Mudstone Rock Facies

<p dir="ltr">Recognizing mud rock lithofacies is essential for mapping the subsurface depositional environments and identifying oil and gas-bearing rock formations. Conventional well logs interpretation techniques are slow, costly and require high domain expertise. Machine learning (...

Full description

Saved in:
Bibliographic Details
Main Author: Saurabh Tewari (22282594) (author)
Other Authors: Arvind Prasad (19997799) (author), Harsh Patel (9978387) (author), Mueen Uddin (4903510) (author), Taher Al-Shehari (21323711) (author), Nasser A. Alsadhan (21324164) (author)
Published: 2024
Subjects:
Earth sciences
Geology
Engineering
Geomatic engineering
Resources engineering and extractive metallurgy
Information and computing sciences
Artificial intelligence
Machine learning
Data imbalance
Resampling techniques
Stacked generalization
Multiagent collaborative learning
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items