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Articles 1 - 7 of 7
Full-Text Articles in Engineering
Roughness Characterization Of Rock Fracture And Its Influence On Fracture Seepage Characteristics, Lei Gan, Yu Liu, Zong-Liang Zhang, Zhen-Zhong Shen, Hong-Ying Ma
Roughness Characterization Of Rock Fracture And Its Influence On Fracture Seepage Characteristics, Lei Gan, Yu Liu, Zong-Liang Zhang, Zhen-Zhong Shen, Hong-Ying Ma
Rock and Soil Mechanics
Roughness of rock fracture has a significant influence on the seepage characteristics of fracture. The point cloud data of rock fracture surface was collected by three-dimensional (3D) optical scanning system. The joint roughness coefficient (JRC) and surface roughness ratio (Rs) were calculated by SURFER and GEOMAGIC STUDIO, and the quantitative relationship between JRC and Rs was established. The effects of JRC and Rs on the fracture seepage characteristics in limestone were investigated by conducting seepage tests under the coupling effect of stress, seepage and chemical interaction. The results show that JRC is a logarithmic function of Rs, with the R-squared …
Permeability Prediction For Expansive Soil Based On Physical Properties Using Artificial Neural Networks, Ferry Fatnanta, Imam Suprayogi, Nicola Rabb Ranata, Soewignjo Agus Nugroho, Agus Ika Putra
Permeability Prediction For Expansive Soil Based On Physical Properties Using Artificial Neural Networks, Ferry Fatnanta, Imam Suprayogi, Nicola Rabb Ranata, Soewignjo Agus Nugroho, Agus Ika Putra
Makara Journal of Technology
Permeability is a soil parameter related to the construction industry to understand the processes of infiltration, runoff, and settlement. The risk of testing errors is inevitable in permeability investigations, especially in expansive soils. Trial and error in permeability testing becomes difficult due to soils with small pore sizes and large shrinkage expansion. Several studies related to soil physical properties that affect permeability have been conducted. However, the correlation results obtained still have poor accuracy. Artificial neural networks (ANN) are machine learning systems that can change their structure to solve problems that are included in the system. The use of ANNs …
Fractal Theory-Based Permeability Model Of Fracture Networks In Coals, Xia Binwei, Liao Chuanbin, Luo Yafei, Ji Kainan
Fractal Theory-Based Permeability Model Of Fracture Networks In Coals, Xia Binwei, Liao Chuanbin, Luo Yafei, Ji Kainan
Coal Geology & Exploration
Fractures in coal reservoirs, which act as the major seepage pathways for coalbed methane (CBM), determine the permeability and CBM productivity of coal reservoirs. Research on the relationships between fracture structures and reservoir permeability is of great theoretical and practical significance for the accurate prediction of CBM productivity. Based on the classical cubic law-based permeability model, as well as the fractal theory, fracture network structures, and effective stress, this study built a permeability model containing complex bending fractures, which was then combined with the S & D (Shi-Durucan) model to build the permeability model of fractured coals under the action …
Permeability Evolution In The Initial Period Of Oil Production Based On Field Well Test Data And Coreflooding Tests, Kozhevnikov Evgenii V., Turbakov Mikhail S., Riabokon Evgenii P., Gladkikh Evgeniy A., Poplygin Vladimir V., Guzev Mikhail A., Cheng-Zhi Qi
Permeability Evolution In The Initial Period Of Oil Production Based On Field Well Test Data And Coreflooding Tests, Kozhevnikov Evgenii V., Turbakov Mikhail S., Riabokon Evgenii P., Gladkikh Evgeniy A., Poplygin Vladimir V., Guzev Mikhail A., Cheng-Zhi Qi
Rock and Soil Mechanics
Permeability prediction during hydrocarbon production is a rather important problem. The decrease in permeability due to depletion reserves and the drop in reservoir pressure (increase in effective pressure) leads to an increase in the time of oil or gas production. A large number of works have been devoted to the problem of permeability reduction due to effective pressure. Establishment of permeability models is carried out by various methods including coreflooding tests and field well tests. The results of previous studies have shown that permeability has a power-law or exponential dependence on effective pressure, however, the difficulty in predicting permeability is …
The Concept Of Permeability On The Neighbourhood Scale, Aulia Urrohmah, Evawani Ellisa, Achmad Hery Fuad
The Concept Of Permeability On The Neighbourhood Scale, Aulia Urrohmah, Evawani Ellisa, Achmad Hery Fuad
CSID Journal of Infrastructure Development
Urban sprawl is rapidly expanding in the outskirts of Jakarta, resulting in a patchwork of urban areas. Unlike many walkable cities in Europe that have long embraced the pedestrian culture, Jakarta and other developing cities have prioritized private vehicle-oriented development, leading to mixed urban forms. According to data from BPS in 2022, over 16.5 million motorcycles are registered in Jakarta, and 62.3% of Jabodetabek commuters use them. This study recognizes the permeability of neighbourhood scale concerning using motorcycles to support daily mobility. This narrative qualitative research investigated permeability regarding the legibility, variety, and perceptual aspects. In addition, to illustrate the …
Co2-Ecbm Simulation Study Considering Klinkenberg Factor State, Sa Zhanyou, Wu Jingbo, Yang Yongliang, Zhang Xin, Lu Shouqing, Liu Jie, Wang Hao
Co2-Ecbm Simulation Study Considering Klinkenberg Factor State, Sa Zhanyou, Wu Jingbo, Yang Yongliang, Zhang Xin, Lu Shouqing, Liu Jie, Wang Hao
Coal Geology & Exploration
In order to explore the role of Klinkenberg effect and Klinkenberg factor in different states in the process of CO2-Enhanced Coal Bed Methane (CO2-ECBM), the effects of Klinkenberg factor of zero, fixed Klinkenberg factor and dynamic Klinkenberg factor on CO2-ECBM were simulated and analyzed by COMSOL finite element software. The dynamic changes of CH4 and CO2 pressure with this factor were studied, and the CH4 gas production was compared with the engineering practice. The results show that the effective permeability of CH4 and CO2 increases slowly at first, then …
Numerical Simulation Of Co2 Storage In Bedded Salt Rock Storage Cavern In Subei Basin, Zong Shi, Liu Shiqi, Xu Hui, Wang Wenkai, Cao Bo, Huang Fansheng
Numerical Simulation Of Co2 Storage In Bedded Salt Rock Storage Cavern In Subei Basin, Zong Shi, Liu Shiqi, Xu Hui, Wang Wenkai, Cao Bo, Huang Fansheng
Coal Geology & Exploration
Underground salt cavern is an effective geological body for CO2 storage. The leakage of CO2 along the weak interlayer of salt rock and the interface of salt layer and interlayer is the key to restrict the safe storage of CO2 in underground salt cavern. A fluid-solid coupling mathematical model of CO2 storage in bedded salt cavern gas storage was established based on the CO2 salt cavern storage in Jintan area of Subei basin. On this basis, the leakage and migration law of CO2 in salt rock and mudstone interlayer, as well as its influence …