Permeability prediction
WebObject Moved This document may be found here WebJan 1, 2024 · In order to intuitively illustrate the prediction performance of various methods, including the LBM-L, CNN and AE-CNN algorithms, Fig. 8 plots the permeability prediction data from the low-resolution images of porous media against the true permeability data, where the horizontal and vertical coordinates represent the ground truth and prediction ...
Permeability prediction
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WebJul 1, 2013 · Permeability increase in coalbed methane (CBM) reservoirs during primary depletion, particularly in the San Juan Basin, is a well accepted phenomenon. It is complex since it is influenced by stress conditions and coal matrix shrinkage associated with gas desorption. Understanding the variations in coal permeability is critical in order to ... WebIn this study, we develop a reliable and low-cost deep learning (DL) framework for reservoir permeability and porosity prediction from real logging data at different regions. We leverage an advanced learning architecture (i.e., the transformer model) and design a new …
WebApr 28, 2024 · For prediction of passive membrane permeability, the most critical parameter in QSPR studies is lipophilicity. (20) Lipophilicity is a crucial factor governing passive … WebMar 1, 2024 · Another way to predict permeability uses deep learning methods. Recently, the convolutional neural network (CNN) has been widely employed in computer vision (He et al., 2016, Huang et al., 2024, Krizhevsky et al., 2024 ). It is convenient for CNN to deal with problems with spatial correlations.
WebMay 3, 2024 · To improve the accuracy of the BBB permeability prediction, we applied deep learning and machine learning algorithms to a dataset of 3,605 diverse compounds. Each compound was encoded with 1,917 features containing 1,444 physicochemical (1D and 2D) properties, 166 molecular access system fingerprints (MACCS), and 307 substructure … WebPermeability definition, the property or state of being permeable. See more.
WebApr 25, 2024 · The physical properties, controlling factors, and characteristics of tight sandstone from the Ahe (J1a) Formation in the Dibei gas reservoir are analyzed. The results show that the tight sandstone of the J1a Formation is mainly feldspar lithic sandstone, with low porosity (average 9.1%) and low permeability (average 0.09 mD).
WebJun 3, 2015 · Permeability values predicted by the neural network in test wells were generally closer to the core measurements than were the values predicted by linear regression. References ↑ 1.0 1.1 Allen, J.R. 1979. Prediction of Permeability From Logs by Multiple Regression. Trans., Society of Professional Well Log Analysts. galina boot veronica beardWebThe existing service-life prediction models rarely account for the effect of cracks on mass transport and durability of concrete. To correct this deficiency, transport in fractured porous media must be studied. ... Crack permeability was measured using a Darcian flow-thru cell. The results show that permeability is a function of crack width ... galina borchersWebAlarifi, SA 2024, Oil-Water Relative Permeability Prediction Using Machine Learning. in Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2024. SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings, Society of Petroleum Engineers (SPE), 2024 Middle East Oil, Gas and Geosciences Show, MEOS … black bride and groom clipart