Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan

Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan

Machine learning techniques and a dataset of five wells from the Rawat oilfield in Sudan containing 93,925 samples per feature (seven well logs and one facies log) were used to classify four facies. Data pre-processing and preparation involve two processes: data cleaning and feature scaling. Several...

Full description

Saved in:
Bibliographic Details
Main Authors: Anas Mohamed Abaker Babai, Olugbenga Ajayi Ehinola, Omer.I.M. Fadul Abul Gebbayin, Mohammed Abdalla Elsharif Ibrahim
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-03-01
Series:Energy Geoscience
Subjects:
Machine learning
Facies classification
Gradient Boosting (GB)
Support Vector Classifier (SVC)
Random Forest (RF)
Decision Tree (DT)
Online Access:http://www.sciencedirect.com/science/article/pii/S2666759224000684
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items