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Migration and Distribution Laws of Proppants in Complex Lithology Reservoirs in Offshore Areas
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作者 Mao Jiang Jianshu Wu +4 位作者 Chengyong Peng Xuesong Xing Yishan Lou Yi Liu Shanyong Liu 《Energy Engineering》 2025年第10期4019-4034,共16页
Fracture conductivity is a key factor to determine the fracturing effect.Optimizing proppant particle size distribution is critical for ensuring efficient proppant placement within fractures.To address challenges asso... Fracture conductivity is a key factor to determine the fracturing effect.Optimizing proppant particle size distribution is critical for ensuring efficient proppant placement within fractures.To address challenges associated with the low-permeability reservoirs in the Lufeng Oilfield of the South China Sea—including high heterogeneity,complex lithology,and suboptimal fracturing outcomes—JRC(Joint Roughness Coefficient)was employed to quantitatively characterize the lithological properties of the target formation.A CFD-DEM(Computational Fluid Dynamics-Discrete Element Method)two-way coupling approach was then utilized to construct a fracture channel model that simulates proppant transport dynamics.Theproppant particle size under different lithology was optimized.Theresults show that:(1)In rough fractures,proppant particles exhibit more chaotic migration behavior compared to their movement on smooth surfaces,thereby increasing the risk of fracture plugging;(2)Within the same particle size range,for proppants with mesh sizes of 40/70 or 20/40,fracture conductivity decreases as roughness increases.In contrast,for 30/50 mesh proppants,conductivity initially increases and then decreases with rising roughness;(3)Under identical roughness conditions,the following recommendations apply based on fracture conductivity behavior relative to proppant particle size:When JRC<46,conductivity increases with larger particle sizes,with 20/40 mesh proppant recommended;When JRC>46,conductivity decreases as particle size increases;40/70 mesh proppant is thus recommended to maintain effective conductivity;At JRC=46,conductivity first increases then decreases with increasing particle size,making 30/50mesh the optimal choice.Theresearch findings provide a theoretical foundation for optimizing fracturing designs and enhancing fracturing performance in the field. 展开更多
关键词 Offshore low permeability reservoir proppant migration particle size optimization fracture conductivity joint roughness coefficient
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Research on infiltration clogging effect and its application prospect in anti-seepage project 被引量:1
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作者 HUANG Zhiquan WANG Gangcheng ZHANG Guojun 《Global Geology》 2009年第2期112-116,共5页
Clogging effect,as a new concept in geological engineering,is a phenomenon of permeability decreasing under seeping in reservoir dam foundation of the alluvial and diluvial deposits with deep and thick layer,coarse pa... Clogging effect,as a new concept in geological engineering,is a phenomenon of permeability decreasing under seeping in reservoir dam foundation of the alluvial and diluvial deposits with deep and thick layer,coarse particle and high permeability in mountains-gully rivers of Tibetan Plateau.A clogging infiltration instrument has been designed successfully and a series of simulation tests have been done.Based on large amounts of data,it is confirmed that the existence of the clogging effect and the law of infiltration clogging is found out.Three indexes are proposed such as "optimal size of particle","optimal size range of particle" and "characteristic pore",which are closely related with effect of infiltration clogging.The concept and results can offer a new idea to solve problems on anti-seepage of dam foundation in mountains-gully rivers environment and to study artificial clogging,meanwhile supplement of the concept of seepage deformation. 展开更多
关键词 seepage deformation clogging effect characteristic pore optimal size of particle optimal size range of particle
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Design and experiment on atomizer parameter of impinging low-speed centrifugal atomization sprayer
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作者 Dejiang Liu Yan Gong +2 位作者 Xiao Chen Xiao Zhang Guo Wang 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2020年第6期118-124,共7页
Atomizers were designed with different atomization parameters to obtain droplets that satisfy optimal particle size requirements for an impinging-type low-speed centrifugal atomizing sprayer.The main factors affecting... Atomizers were designed with different atomization parameters to obtain droplets that satisfy optimal particle size requirements for an impinging-type low-speed centrifugal atomizing sprayer.The main factors affecting droplet size are turntable speed,the number of teeth and the tooth shape of the toothed disc.Winner318 software was used to evaluate droplet sizes for different structures and the working parameters of the atomizer.The response surface method and Design-Expert were used to analyze the effect of each factor.The response surface analysis of the effect of structural and working parameters of the atomizer on the interaction between the volume medium diameter of the droplet and the spectral width of the droplet size was used to establish the atomizer droplet Granular spectrum prediction model.Optimal design fitting formulas are obtained,and the droplet sizes required for pesticides to control flying insect pests,to control the growth of reptile larvae,and the use of spraying fungicides to prevent crop damage were determined.This research provides a product not only similar to those in the market,but also the theoretical basis and references for innovation,development,and optimization of centrifugal atomization technology. 展开更多
关键词 centrifugal atomization impinging low-speed droplets diameter optimal biological particle size theory quadratic regression analysis
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