采用自然浸泡法模拟海洋水下区环境,研究了玄武岩/聚丙烯纤维增强混凝土(BPFRC)的氯离子扩散性能.通过固液萃取法和电位法测试了不同侵蚀时间下BPFRC中的氯离子含量,分析了纤维种类、掺量和混杂形式对氯离子含量分布、表面氯离子含量(C_...采用自然浸泡法模拟海洋水下区环境,研究了玄武岩/聚丙烯纤维增强混凝土(BPFRC)的氯离子扩散性能.通过固液萃取法和电位法测试了不同侵蚀时间下BPFRC中的氯离子含量,分析了纤维种类、掺量和混杂形式对氯离子含量分布、表面氯离子含量(C_(s))和氯离子扩散系数的影响;此外,采用Rapid Air 457测定了BPFRC的孔径分布,并计算了其孔结构分形维数.结果表明:BPFRC中的氯离子含量随着侵蚀龄期的增加而增大;当纤维体积分数为0.10%时,玄武岩纤维对混凝土中氯离子含量的降低作用大于聚丙烯纤维,适量的混杂纤维能够减小混凝土中的氯离子含量,过量的混杂纤维则增大了混凝土中不同深度处的氯离子含量;BPFRC中的C_(s)在侵蚀初期增长较快、后期增长较慢,与侵蚀时间为幂函数关系;BPFRC的孔结构表现出明显的分形特征,分形维数范围为2.301~2.446,分形维数与氯离子扩散系数具有较强的正相关性.展开更多
The geological structure of coal seams in China is remarkably varied and complex,with coalbed methane reservoirs marked by significant heterogeneity and low permeability,creating substantial technical challenges for e...The geological structure of coal seams in China is remarkably varied and complex,with coalbed methane reservoirs marked by significant heterogeneity and low permeability,creating substantial technical challenges for efficient extraction.This study systematically investigates the impact of liquid nitrogen immersion(LNI)on the coal’s pore structure and its mechanism of enhancing permeability with a combination of quantitative nuclear magnetic resonance(NMR)analysis,nitrogen adsorption experiments,and fractal dimension calculations.The results demonstrate that LNI can damage the coal’s pore structure and promote fracture expansion through thermal stress induction and moisture phase transformation,thereby enhancing the permeability of coal seams.The T_(2)peak area in the NMR experiments on coal samples subjected to LNI treatment shows a significant increase,the Brunauer-Emmett-Teller(BET)specific surface area decreases to 6.02 m^(2)/g,and the Barrett-Joyner-Halenda(BJH)total pore volume increases to 14.99 mm^(3)/g.Furthermore,changes in fractal dimensions(D_(1)rising from 2.804 to 2.837,and D_(2)falling from 2.757 to 2.594)indicate a notable enhancement in the complexity of the pore structure.With increasing LNI cycles,the adsorption capacity of the coal samples diminishes,suggesting a significant optimization of the pore structure.This optimization is particularly evident in the reconstruction of the micropore structure,which in turn greatly enhances the complexity and connectivity of the sample’s pore network.In summary,the study concludes that LNI technology can effectively improve the permeability of coal seams and the extraction efficiency of coalbed methane by optimizing the micropore structure and enhancing pore connectivity,which offers a potential method for enhancing the permeability of gas-bearing coal seams and facilitating the development and utilization of coalbed methane.展开更多
According to Cubic law and incompressible fluid law of mass conservation, the seepage character of the fracture surface was simulated with the simulation method of fractal theory and random Brown function. Furthermore...According to Cubic law and incompressible fluid law of mass conservation, the seepage character of the fracture surface was simulated with the simulation method of fractal theory and random Brown function. Furthermore, the permeability coefficient of the single fracture was obtained. In order to test the stability of the method, 500 simulations were conducted on each different fractal dimension. The simulated permeability coefficient was analyzed in probability density distribution and probability cumulative distribution statistics. Statistics showed that the discrete degree of the permeability coefficient increases with the increase of the fractal dimension. And the calculation result has better stability when the fractal dimension value is relatively small. According to the Bayes theory, the characteristic index of the permeability coefficient on fractal dimension P（Dfi｜ Ri） is established. The index, P（Dfi｜ Ri）, shows that when the simulated permeability coefficient is relatively large, it can clearly represent the fractal dimension of the structure surface, the probability is 82%. The calculated results of the characteristic index verify the feasibility of the method.展开更多
基金Projects(52222806, 52278216) supported by the National Natural Science Foundation of ChinaProject(2019JQ-481) supported by the Natural Science Foundation of Shaanxi Province, China。
文摘采用自然浸泡法模拟海洋水下区环境,研究了玄武岩/聚丙烯纤维增强混凝土(BPFRC)的氯离子扩散性能.通过固液萃取法和电位法测试了不同侵蚀时间下BPFRC中的氯离子含量,分析了纤维种类、掺量和混杂形式对氯离子含量分布、表面氯离子含量(C_(s))和氯离子扩散系数的影响;此外,采用Rapid Air 457测定了BPFRC的孔径分布,并计算了其孔结构分形维数.结果表明:BPFRC中的氯离子含量随着侵蚀龄期的增加而增大;当纤维体积分数为0.10%时,玄武岩纤维对混凝土中氯离子含量的降低作用大于聚丙烯纤维,适量的混杂纤维能够减小混凝土中的氯离子含量,过量的混杂纤维则增大了混凝土中不同深度处的氯离子含量;BPFRC中的C_(s)在侵蚀初期增长较快、后期增长较慢,与侵蚀时间为幂函数关系;BPFRC的孔结构表现出明显的分形特征,分形维数范围为2.301~2.446,分形维数与氯离子扩散系数具有较强的正相关性.
基金Projects(52204226,52104204,52474276)supported by the National Natural Science Foundation of ChinaProject(tsqnz20221140)supported by the Taishan Scholars Project of China+1 种基金Projects(ZR2022QE243,ZR2024ME097)supported by the Natural Science Foundation of Shandong Province of ChinaProject(252300421010)supported by the Excellent Youth Foundation of Henan Scientific Committee,China。
文摘The geological structure of coal seams in China is remarkably varied and complex,with coalbed methane reservoirs marked by significant heterogeneity and low permeability,creating substantial technical challenges for efficient extraction.This study systematically investigates the impact of liquid nitrogen immersion(LNI)on the coal’s pore structure and its mechanism of enhancing permeability with a combination of quantitative nuclear magnetic resonance(NMR)analysis,nitrogen adsorption experiments,and fractal dimension calculations.The results demonstrate that LNI can damage the coal’s pore structure and promote fracture expansion through thermal stress induction and moisture phase transformation,thereby enhancing the permeability of coal seams.The T_(2)peak area in the NMR experiments on coal samples subjected to LNI treatment shows a significant increase,the Brunauer-Emmett-Teller(BET)specific surface area decreases to 6.02 m^(2)/g,and the Barrett-Joyner-Halenda(BJH)total pore volume increases to 14.99 mm^(3)/g.Furthermore,changes in fractal dimensions(D_(1)rising from 2.804 to 2.837,and D_(2)falling from 2.757 to 2.594)indicate a notable enhancement in the complexity of the pore structure.With increasing LNI cycles,the adsorption capacity of the coal samples diminishes,suggesting a significant optimization of the pore structure.This optimization is particularly evident in the reconstruction of the micropore structure,which in turn greatly enhances the complexity and connectivity of the sample’s pore network.In summary,the study concludes that LNI technology can effectively improve the permeability of coal seams and the extraction efficiency of coalbed methane by optimizing the micropore structure and enhancing pore connectivity,which offers a potential method for enhancing the permeability of gas-bearing coal seams and facilitating the development and utilization of coalbed methane.
基金Project(50934006) supported by the National Natural Science Foundation of ChinaProject(CX2012B070) supported by Hunan Provincial Innovation Foundation for Postgraduate,ChinaProject(1343-76140000024) Supported by Academic New Artist Ministry of Education Doctoral Post Graduate in 2012,China
文摘According to Cubic law and incompressible fluid law of mass conservation, the seepage character of the fracture surface was simulated with the simulation method of fractal theory and random Brown function. Furthermore, the permeability coefficient of the single fracture was obtained. In order to test the stability of the method, 500 simulations were conducted on each different fractal dimension. The simulated permeability coefficient was analyzed in probability density distribution and probability cumulative distribution statistics. Statistics showed that the discrete degree of the permeability coefficient increases with the increase of the fractal dimension. And the calculation result has better stability when the fractal dimension value is relatively small. According to the Bayes theory, the characteristic index of the permeability coefficient on fractal dimension P（Dfi｜ Ri） is established. The index, P（Dfi｜ Ri）, shows that when the simulated permeability coefficient is relatively large, it can clearly represent the fractal dimension of the structure surface, the probability is 82%. The calculated results of the characteristic index verify the feasibility of the method.
