Regression analysis and its application to oil and gas exploration: A case study of hydrocarbon loss recovery and porosity prediction, China-Reference-Cited by-同舟云学术

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Regression analysis and its application to oil and gas exploration: A case study of hydrocarbon loss recovery and porosity prediction, China

Published:2024-10 Issue:4 Volume:5 Page:100333
ISSN:2666-7592
Container-title:Energy Geoscience
language:en
Short-container-title:Energy Geoscience

Author:

Li Yang^ORCID,Li Xiaoguang,Guo Mingyu,Chen Chang,Ni Pengbo,Huang Zijian

Publisher

Elsevier BV

Reference66 articles.

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2. A two-layer feature selection method using Genetic Algorithm and Elastic Net;Amini;Expert Syst. Appl.,2021

3. Optimal partial ridge estimation in restricted semiparametric regression models;Amini;J. Multivariate Anal.,2015

4. A class of new Support Vector Regression models;Anand;Appl. Soft Comput.,2020

5. The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling;Ao;J. Petrol. Sci. Eng.,2019

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