A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques

Auto-characterization of naturally fractured reservoirs drilled by horizontal well using multi-output least squares support vector regression

(2021) Seyedeh Raha Moosavi et al.   Arabian Journal of Geosciences

Analysis of the performance of a crude-oil desalting system based on historical data

(2021) Ehsan Ranaee et al.   FUEL

Prediction of oil flow rate through orifice flow meters: Optimized machine-learning techniques

(2021) Mohammad Farsi et al.   MEASUREMENT

Offshore Geological Storage of Hydrogen: Is This Our Best Option to Achieve Net-Zero?

(2021) Aliakbar Hassanpouryouzband et al.   ACS Energy Letters

Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters

(2021) Ahmed Abdelaal et al.   ACS Omega

Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields

(2021) Abouzar Rajabi Behesht Abad et al.   FUEL

Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back-propagation network

(2021) Aydin Larestani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Geological characteristics and abnormal pore pressure prediction in shale oil formations of the Dongying depression, China

(2020) Yushuai Zhang et al.   Energy Science & Engineering

Prediction of energy consumption in hotel buildings via support vector machines

(2020) Minglei Shao et al.   Sustainable Cities and Society

Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data

(2020) Guang-Hui Fu et al.   BMC BIOINFORMATICS

Support Vector Machines-based Heart Disease Diagnosis using Feature Subset, Wrapping Selection and Extraction Methods

(2020) Syed Muhammad Saqlain Shah et al.   COMPUTERS & ELECTRICAL ENGINEERING

A machine learning methodology for multivariate pore-pressure prediction

(2020) Hao Yu et al.   COMPUTERS & GEOSCIENCES

A novel support vector regression (SVR) model for the prediction of splice strength of the unconfined beam specimens

(2020) Mohammad Suhaib Ahmad et al.   CONSTRUCTION AND BUILDING MATERIALS

The Niger Delta basin fracture pressure prediction

(2020) Olalere Oloruntobi et al.   Environmental Earth Sciences

Determination of spent nuclear fuel parameters using modelled signatures from non-destructive assay and Random Forest regression

(2020) S. Grape et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree

(2020) Xiaoyi Zhou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus®

(2020) Furkan Kartal et al.   ENERGY

Experimental investigation, binary modelling and artificial neural network prediction of surfactant adsorption for enhanced oil recovery application

(2020) Ahmed F. Belhaj et al.   CHEMICAL ENGINEERING JOURNAL

Total organic carbon content prediction based on support-vector-regression machine with particle swarm optimization

(2019) Jianwen Rui et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

(2018) Muhammad Waseem Ahmad et al.   JOURNAL OF CLEANER PRODUCTION

Artificial neural network approach for the steam gasification of palm oil waste using bottom ash and CaO

(2018) Muhammad Shahbaz et al.   RENEWABLE ENERGY

Short term memory efficient pore pressure prediction via Bayesian neural networks at Bering Sea slope of IODP expedition 323

(2018) Mampi Karmakar et al.   MEASUREMENT

Improved predictions of wellhead choke liquid critical-flow rates: Modelling based on hybrid neural network training learning based optimization

(2017) Abouzar Choubineh et al.   FUEL

Prediction of gas flow rates from gas condensate reservoirs through wellhead chokes using a firefly optimization algorithm

(2017) Hamzeh Ghorbani et al.   Journal of Natural Gas Science and Engineering

Novel method for calculating the effective stress coefficient in a tight sandstone reservoir

(2016) Yinghao Shen et al.   KSCE Journal of Civil Engineering

A Comprehensive Review of Swarm Optimization Algorithms

(2015) Mohd Nadhir Ab Wahab et al.   PLoS One