CBR prediction of pavement materials in unsoaked condition using LSSVM, LSTM-RNN, and ANN approaches
The present research introduces the best architecture model for predicting the unsoaked
California bearing ratio (CBRu) of soil by comparing the models based on the least square …
California bearing ratio (CBRu) of soil by comparing the models based on the least square …
Developing a robust model based on the gaussian process regression approach to predict biodiesel properties
I Pustokhina, A Seraj, H Hafsan… - … Journal of Chemical …, 2021 - Wiley Online Library
Biodiesel is assumed a renewable and environmentally friendly fuel that possesses the
potential to substitute petroleum diesel. The basic purpose of the present study is to design a …
potential to substitute petroleum diesel. The basic purpose of the present study is to design a …
[HTML][HTML] Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields
Rock samples' TOC content is the best indicator of the organic matter in source rocks. The
origin rock samples' analysis is used to calculate it manually by specialists. This method …
origin rock samples' analysis is used to calculate it manually by specialists. This method …
Deep learning integrated approach for hydrocarbon source rock evaluation and geochemical indicators prediction in the Jurassic-Paleogene of the Mandawa basin …
CN Mkono, S Chuanbo, AK Mulashani… - Energy, 2023 - Elsevier
The world's energy demands are growing at an unprecedented rate, and the exploration of
new hydrocarbon sources is more important than ever. Therefore, the objective of this study …
new hydrocarbon sources is more important than ever. Therefore, the objective of this study …
An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution
One of the most reliable indicators of the amount and condition of organic matter in a basin
is the total organic carbon (TOC) content of rock samples. The manual estimation primarily …
is the total organic carbon (TOC) content of rock samples. The manual estimation primarily …
A Novel Hybrid Machine Learning Approach and Basin Modeling for Thermal Maturity Estimation of Source Rocks in Mandawa Basin, East Africa
CN Mkono, C Shen, AK Mulashani, MR Ngata… - Natural Resources …, 2024 - Springer
Basin modeling and thermal maturity estimation are crucial for understanding sedimentary
basin evolution and hydrocarbon potential. Assessing thermal maturity in the oil and gas …
basin evolution and hydrocarbon potential. Assessing thermal maturity in the oil and gas …
Prediction of total organic carbon in organic-rich shale rocks using thermal neutron parameters
Total organic carbon (TOC) content is one of the crucial parameters that determine the value
of the source rock. The TOC content gives important indications about the source rocks and …
of the source rock. The TOC content gives important indications about the source rocks and …
[HTML][HTML] A bibliometric analysis of the application of machine learning methods in the petroleum industry
Z Sadeqi-Arani, A Kadkhodaie - Results in Engineering, 2023 - Elsevier
With the emerge of Artificial Intelligence and Machin learning systems, the petroleum
industry has witnessed a significant progress in its different disciplines to optimize decision …
industry has witnessed a significant progress in its different disciplines to optimize decision …
Machine learning method for TOC prediction: Taking wufeng and longmaxi shales in the Sichuan Basin, Southwest China as an example
J Rong, Z Zheng, X Luo, C Li, Y Li, X Wei, Q Wei… - …, 2021 - Wiley Online Library
The total organic carbon content (TOC) is a core indicator for shale gas reservoir
evaluations. Machine learning‐based models can quickly and accurately predict TOC, which …
evaluations. Machine learning‐based models can quickly and accurately predict TOC, which …
Gray‐Related Support Vector Machine Optimization Strategy and Its Implementation in Forecasting Photovoltaic Output Power
B Xiao, H Zhu, S Zhang, Z OuYang… - International Journal …, 2022 - Wiley Online Library
Reliable and accurate photovoltaic (PV) output power projection is critical for power grid
security, stability, and economic operation. However, because of the indirectness …
security, stability, and economic operation. However, because of the indirectness …