Open AccessApplication of Machine Learning to Predict Estimated Ultimate Recovery for Multistage Hydraulically Fractured Wells in Niobrara Shale Formation
Author(s) -
Ahmed Farid Ibrahim,
Sulaiman A. Alarifi,
Salaheldin Elkatatny
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/7084514
Subject(s) - completion (oil and gas wells) , oil shale , slurry , artificial neural network , petroleum engineering , hydraulic fracturing , correlation coefficient , geology , computer science , soil science , environmental science , artificial intelligence , machine learning , paleontology , environmental engineering
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom