Pattern visualization and understanding of machine learning models for permeability prediction in tight sandstone reservoirs
Permeability prediction is a key and difficult task in hydrocarbon reservoir characterization.
Machine learning has long been studied for permeability prediction using porosity and …
Machine learning has long been studied for permeability prediction using porosity and …
基于CGAN 与CNN-GRU 组合模型的密度测井曲线重构方法
段中钰， 吴俣， 肖勇， 李宸泷 - 地球物理学进展, 2022 - dzkx.org
密度测井曲线作为常规测井曲线中的一种, 有着丰富的地质信息, 通过对其进行分析解释,
可以获得地层岩性, 岩石密度和岩层孔隙度等参数. 然而, 在实际获取密度测井曲线的过程中 …
可以获得地层岩性, 岩石密度和岩层孔隙度等参数. 然而, 在实际获取密度测井曲线的过程中 …
Deep learning prediction of waterflooding-based alteration of reservoir hydraulic flow unit
F Chu, X Zhang, G Zhang, C Dong - Geoenergy Science and Engineering, 2023 - Elsevier
The hydraulic flow unit (HFU) is a comprehensive representation of reservoir quality, and the
type of reservoir HFU alters dramatically due to the impact of waterflooding. The accurate …
type of reservoir HFU alters dramatically due to the impact of waterflooding. The accurate …
A deep CNN-LSTM model for predicting interface depth from gravity data over thrust and fold belts of North East India
S Maiti, RK Chiluvuru - Journal of Asian Earth Sciences, 2024 - Elsevier
Geological interface depth modeling from the gravity field data is crucial for the exploration
of oil and gas, mapping of sediment-basement interfaces and many other geological …
of oil and gas, mapping of sediment-basement interfaces and many other geological …
Wellbore fracture recognition and fracture parameter identification method using piezoelectric ultrasonic and machine learning
Z Liu, M Luo, L Li, Y Xiang, L Zhou - Smart Materials and …, 2024 - iopscience.iop.org
Real-time monitoring of wellbore status information can effectively ensure the structural
safety of the wellbore and improve the drilling efficiency. It is especially important to …
safety of the wellbore and improve the drilling efficiency. It is especially important to …
Hybrid Swin Transformer-CNN Model for Pore-crack Structure Identification
H Li, H Li, C Li, B Wu, J Gao - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Accurate classification and characterization of pore–crack structures are substantial to
carbonate reservoirs in terms of reservoir exploration and development. Although …
carbonate reservoirs in terms of reservoir exploration and development. Although …
Density logging curve reconstruction method based on CGAN and CNN-GRU combined model
ZY DUAN, Y WU, Y XIAO, CL LI - Progress in Geophysics, 2022 - en.dzkx.org
Density logging curve, as one of the conventional logging curves, has abundant geological
information. we can obtain the formation lithology, rock density, rock porosity and other …
information. we can obtain the formation lithology, rock density, rock porosity and other …
Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods
The knowledge of fracture properties and its geometrical patterns is often required for the
analysis of mechanical and flow properties in fractured reservoirs, as fracture …
analysis of mechanical and flow properties in fractured reservoirs, as fracture …
Pore structure of tight sandstones with differing permeability: The He 8 Member of the Middle Permian Lower Shihezi Formation, Gaoqiao area, Ordos Basin
D Chen, Y Zhu, W Wang, L Zhang… - Energy Science & …, 2024 - Wiley Online Library
Tight sandstone has strong pore heterogeneity and complex pore structure, and the pore
structure of tight sandstone varies with different permeability. To study the differences in the …
structure of tight sandstone varies with different permeability. To study the differences in the …
Porosity prediction through well logging data: A combined approach of convolutional neural network and transformer model (CNN-transformer)
Y Sun, S Pang, J Zhang, Y Zhang - Physics of Fluids, 2024 - pubs.aip.org
Porosity, as a key parameter to describe the properties of rock reservoirs, is essential for
evaluating the permeability and fluid migration performance of underground rocks. In order …
evaluating the permeability and fluid migration performance of underground rocks. In order …