相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Using the motor power and XGBoost to diagnose working states of a sucker rod pump
Lu Chen et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)
Machine learning for predicting properties of porous media from 2d X-ray images
Naif Alqahtani et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)
Generating pseudo density log from drilling and logging-while-drilling data using extreme gradient boosting (XGBoost)
Ruizhi Zhong et al.
INTERNATIONAL JOURNAL OF COAL GEOLOGY (2020)
Using Machine Learning Methods To Identify Coal Pay Zones from Drilling and Logging-While-Drilling (LWD) Data
Ruizhi Zhong et al.
SPE JOURNAL (2020)
Prediction of methane adsorption in shale: Classical models and machine learning based models
Meng Meng et al.
FUEL (2020)
Predicting porosity, permeability, and tortuosity of porous media from images by deep learning
Krzysztof M. Graczyk et al.
SCIENTIFIC REPORTS (2020)
Group pooling for deep tourism demand forecasting
Yishuo Zhang et al.
ANNALS OF TOURISM RESEARCH (2020)
A new low-permeability reservoir core analysis method based on rate-transient analysis theory
Christopher R. Clarkson et al.
FUEL (2019)
Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study
Hoang Nguyen et al.
ACTA GEOPHYSICA (2019)
Domestic Violence Crisis Identification From Facebook Posts Based on Deep Learning
Sudha Subramani et al.
IEEE ACCESS (2018)
Health assessment and life prediction of cutting tools based on support vector regression
T. Benkedjouh et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2015)
Performance Comparisons Between Arima and Arimax Method in Moslem Kids Clothes Demand Forecasting: Case Study
Wiwik Anggraeni et al.
THIRD INFORMATION SYSTEMS INTERNATIONAL CONFERENCE 2015 (2015)
Total porosity measurement in gas shales by the water immersion porosimetry (WIP) method
Utpalendu Kuila et al.
FUEL (2014)
Artificial neural network modeling and cluster analysis for organic facies and burial history estimation using well log data: A case study of the South Pars Gas Field, Persian Gulf, Iran
Bahram Alizadeh et al.
COMPUTERS & GEOSCIENCES (2012)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)