Machine learning technology in biodiesel research: A review
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock
C Xu, M Nait Amar, MA Ghriga, H Ouaer… - Engineering with …, 2022 - Springer
The geomechanical properties of rock, including shear strength (SS) and uniaxial
compressive strength (UCS), are very important parameters in designing rock structures. To …
compressive strength (UCS), are very important parameters in designing rock structures. To …
Machine learning approach to model rock strength: prediction and variable selection with aid of log data
Comprehensive knowledge and analysis of in situ rock strength and geo-mechanical
characteristics of rocks are crucial in hydrocarbon and mineral exploration stage to …
characteristics of rocks are crucial in hydrocarbon and mineral exploration stage to …
Predictive models and feature ranking in reservoir geomechanics: A critical review and research guidelines
MI Miah - Journal of Natural Gas Science and Engineering, 2020 - Elsevier
Comprehensive investigation and accurate models of geo-mechanical properties are crucial
to maintain wellbore stability and optimize the hydraulic fracturing process. This review …
to maintain wellbore stability and optimize the hydraulic fracturing process. This review …
The effect of grain size, porosity and mineralogy on the compressive strength of tight sandstones: A case study from the eastern Ordos Basin, China
Y Qi, Y Ju, K Yu, S Meng, P Qiao - Journal of Petroleum Science and …, 2022 - Elsevier
To better understand how textural properties and mineralogy control compressive strength,
this work performed the grain size analysis, porosity measurement, X-ray diffraction …
this work performed the grain size analysis, porosity measurement, X-ray diffraction …
Application of soft computing methods in predicting uniaxial compressive strength of the volcanic rocks with different weathering degree
N Ceryan, P Samui - Arabian Journal of Geosciences, 2020 - Springer
Uniaxial compressive strength (UCS) of rock material is very important parameter for rock
engineering applications such as rock mass classification, numerical modelling bearing …
engineering applications such as rock mass classification, numerical modelling bearing …
Predicting peak shear strength of rock fractures using tree-based models and convolutional neural network
J Chen, Z Zhao, J Zhang - Computers and Geotechnics, 2024 - Elsevier
It is of significance to estimate peak shear strength (PSS) of rock fractures in engineering
practice, but the existing PSS criteria may not fully represent the 3D characteristics of …
practice, but the existing PSS criteria may not fully represent the 3D characteristics of …
Prediction of uniaxial compressive strength of rock via genetic algorithm—selective ensemble learning
H Zhang, S Wu, Z Zhang - Natural Resources Research, 2022 - Springer
Reasonable and effective determination of uniaxial compressive strength (UCS) is critical for
rock mass engineering stability research, design, and construction. To estimate the UCS of …
rock mass engineering stability research, design, and construction. To estimate the UCS of …
Machine learning predictive models to estimate the UCS and tensile strength of rocks in Bakken Field
A Chemmakh - SPE Annual Technical Conference and Exhibition?, 2021 - onepetro.org
Abstract Uniaxial Compressive Strength (UCS) and Tensile Strength (TS) are among the
essential rock parameters required and determined for rock mechanical studies in …
essential rock parameters required and determined for rock mechanical studies in …
Estimating DEM microparameters for uniaxial compression simulation with genetic programming
Among the steps in modeling with the Discrete Element Method (DEM), one of the most
important is parameter calibration. The commonly used trial-and-error approach brings …
important is parameter calibration. The commonly used trial-and-error approach brings …