Foam diversion can effectively solve the problem of uneven distribution of acid in layers of different permeabilities during matrix acidizing. Based on gas trapping theory and the mass conservation equation, mathemati...Foam diversion can effectively solve the problem of uneven distribution of acid in layers of different permeabilities during matrix acidizing. Based on gas trapping theory and the mass conservation equation, mathematical models were developed for foam-diverted acidizing, which can be achieved by a foam slug followed by acid injection or by continuous injection of foamed acid. The design method for foam-diverted acidizing was also given. The mathematical models were solved by a computer program. Computed results show that the total formation skin factor, wellhead pressure and bottomhole pressure increase with foam injection, but decrease with acid injection. Volume flow rate in a highpermeability layer decreases, while that in a low-permeability layer increases, thus diverting acid to the low-permeability layer from the high-permeability layer. Under the same formation conditions, for foamed acid treatment the operation was longer, and wellhead and bottomhole pressures are higher. Field application shows that foam slug can effectively block high permeability layers, and improve intake profile noticeably.展开更多
Foam diversion acidizing can effectively solve the problem of acid distribution with severe heterogeneity between and within layers.Based on the foam diversion principle,the gas trap theory,and volume conservation pri...Foam diversion acidizing can effectively solve the problem of acid distribution with severe heterogeneity between and within layers.Based on the foam diversion principle,the gas trap theory,and volume conservation principle,the foam slug diversion acidizing model was established and solved considering the change of bottomhole temperature and deviation factor of foam.The simulation results show that the change of temperature has a great influence on the diversion effect at the initial stage of injection,but a small influence at the middle and late stage.The effect of temperature on the highly permeable layer is greater than that of temperature on the low permeability layer.The deviation factor of foam is mainly controlled by temperature at the initial stage,and by pressure at the middle and late stage,and the whole process shows a downward trend,which has little influence on the diversion effect.The quasi-skin factor of gas trap is the most important parameter that influences the effect of foam diversion.The water saturation of the low permeability layer rises faster than that of the high permeability layer,and the effect of diversion is obvious.The research results have a strong guiding significance for foam diversion acidizing.展开更多
Conventional diverting techniques may not be useful,and the use of the advanced and well-documented diverting technique is needed to overcome the complexity and heterogeneity of carbonate reservoirs.Nowadays,there hav...Conventional diverting techniques may not be useful,and the use of the advanced and well-documented diverting technique is needed to overcome the complexity and heterogeneity of carbonate reservoirs.Nowadays,there have been a lot of materials and techniques utilized for acid diversion.This paper aimed to consider various utilization of fiber-assisted self as the diverting system in acidifying carbonate reservoirs.One of the main reasons for its ability to overcome uncertainty is that the fiber itself is an inherent property,allowing for an automatic diversion adjustment downhole.When a media with infinite permeability,such as a perforation tunnel or natural fracture,is filled and bridged with a material of finite permeability such as degradable fiber,this creates a temporary skin to injectivity in that zone.This is a powerful concept,as it is a way,despite uncertainty from a lack of logging data or uncertainty in the data itself,of dampening the reservoir’s natural permeability contrast.It does not rely on petrophysical certainty to design a successful treatment.展开更多
Objective and Impact Statement:The microspheres were widely utilized in the field of life sciences,and we have developed an innovative microelectromechanical system(MEMS)-based bioprinting technology(MBT)system for th...Objective and Impact Statement:The microspheres were widely utilized in the field of life sciences,and we have developed an innovative microelectromechanical system(MEMS)-based bioprinting technology(MBT)system for the preparation of the microspheres.The microspheres can be automatically and high-throughput produced with this cutting-edge system.Introduction and Methods:This paper mainly introduced a novel,efficient,and cost-effective approach for the microsphere fabrication with the MBT system.In this work,the whole microsphere production equipment was built and the optimal conditions(like concentration,drying temperature,frequency,and voltage)for generating uniform hydroxypropyl cellulose-cyclosporine A(HPC-CsA)and poly-l-lactic acid(PLLA)microspheres were explored.Results:Results demonstrated that the optimal uniformity of HPC-CsA microspheres was achieved at 2%(w/v)HPC-CsA mixture,45°C(drying temperature),1,000 Hz(frequency),and 25 V(voltage amplitude).CsA microspheres[coefficient of variation(CV):~9%]are successfully synthesized,and the drug encapsulation rate was 84.8%.The methodology was further used to produce PLLA microspheres with a diameter of~2.55μm,and the best CV value achieved 6.84%.Conclusion:This investigation fully highlighted the integration of MEMS and bioprinting as a promising tool for the microsphere fabrication,and this MBT system had huge potential applications in pharmaceutical formulations and medical aesthetics.展开更多
【目的】针对传统化学方法测定猕猴桃品质存在工序复杂、费时费力、需破坏性检测等问题,提出一种基于高光谱技术的高效无损检测方法。【方法】以110个米良1号猕猴桃(Actinidia chinensis var.deliciosa‘Miliang-1’)样本为研究对象,利...【目的】针对传统化学方法测定猕猴桃品质存在工序复杂、费时费力、需破坏性检测等问题,提出一种基于高光谱技术的高效无损检测方法。【方法】以110个米良1号猕猴桃(Actinidia chinensis var.deliciosa‘Miliang-1’)样本为研究对象,利用高光谱仪采集不同贮藏时间果实的高光谱反射光谱。利用光谱-理化值共生距离法(sample set partitioning based on joint X-Y distance sampling,SPXY)将猕猴桃样本按照8∶3的数量比例划分为训练集和测试集,统一采用支持向量机(SVM)对比分析标准正态变换(SNV)、多元散射校正(MSC)、一阶导数(1st-D)、二阶导数(2nd-D)、平滑算法(SG)对原始光谱进行预处理。使用遗传算法(genetic algorithm,GA)和随机蛙跳(random frog,RF)对猕猴桃高光谱特征波长进行筛选,结合支持向量回归(SVR)、反向传播神经网络(BP)算法,组合构建猕猴桃品质的回归预测模型。【结果】在组合模型中,可溶性固形物含量的最优模型为1st-D+GA-BP,R^(2)为0.903,RMSE为1.731;可滴定酸含量的最优模型为1st-D+GA-BP,R^(2)为0.857,RMSE为0.225。【结论】应用高光谱技术对米良1号猕猴桃可溶性固形物含量、可滴定酸含量进行无损检测具有可行性。为进一步研究不同品种猕猴桃可溶性固形物含量、可滴定酸含量的无损检测模型奠定了基础。展开更多
文摘Foam diversion can effectively solve the problem of uneven distribution of acid in layers of different permeabilities during matrix acidizing. Based on gas trapping theory and the mass conservation equation, mathematical models were developed for foam-diverted acidizing, which can be achieved by a foam slug followed by acid injection or by continuous injection of foamed acid. The design method for foam-diverted acidizing was also given. The mathematical models were solved by a computer program. Computed results show that the total formation skin factor, wellhead pressure and bottomhole pressure increase with foam injection, but decrease with acid injection. Volume flow rate in a highpermeability layer decreases, while that in a low-permeability layer increases, thus diverting acid to the low-permeability layer from the high-permeability layer. Under the same formation conditions, for foamed acid treatment the operation was longer, and wellhead and bottomhole pressures are higher. Field application shows that foam slug can effectively block high permeability layers, and improve intake profile noticeably.
基金The work in this paper is supported by the grant from the Na-tional Natural Science Foundation of China(No.U1762107)Science and technology program of Sichuan Province(No.2019YJ0425).
文摘Foam diversion acidizing can effectively solve the problem of acid distribution with severe heterogeneity between and within layers.Based on the foam diversion principle,the gas trap theory,and volume conservation principle,the foam slug diversion acidizing model was established and solved considering the change of bottomhole temperature and deviation factor of foam.The simulation results show that the change of temperature has a great influence on the diversion effect at the initial stage of injection,but a small influence at the middle and late stage.The effect of temperature on the highly permeable layer is greater than that of temperature on the low permeability layer.The deviation factor of foam is mainly controlled by temperature at the initial stage,and by pressure at the middle and late stage,and the whole process shows a downward trend,which has little influence on the diversion effect.The quasi-skin factor of gas trap is the most important parameter that influences the effect of foam diversion.The water saturation of the low permeability layer rises faster than that of the high permeability layer,and the effect of diversion is obvious.The research results have a strong guiding significance for foam diversion acidizing.
文摘Conventional diverting techniques may not be useful,and the use of the advanced and well-documented diverting technique is needed to overcome the complexity and heterogeneity of carbonate reservoirs.Nowadays,there have been a lot of materials and techniques utilized for acid diversion.This paper aimed to consider various utilization of fiber-assisted self as the diverting system in acidifying carbonate reservoirs.One of the main reasons for its ability to overcome uncertainty is that the fiber itself is an inherent property,allowing for an automatic diversion adjustment downhole.When a media with infinite permeability,such as a perforation tunnel or natural fracture,is filled and bridged with a material of finite permeability such as degradable fiber,this creates a temporary skin to injectivity in that zone.This is a powerful concept,as it is a way,despite uncertainty from a lack of logging data or uncertainty in the data itself,of dampening the reservoir’s natural permeability contrast.It does not rely on petrophysical certainty to design a successful treatment.
基金sponsored by Shanghai Pujiang Program(23PJ1423400)Shanghai Rising-Star Program(23QB1405100)National Key Research and Development Program of China(2019YFA0707004 and SQ2021YFF0700202).
文摘Objective and Impact Statement:The microspheres were widely utilized in the field of life sciences,and we have developed an innovative microelectromechanical system(MEMS)-based bioprinting technology(MBT)system for the preparation of the microspheres.The microspheres can be automatically and high-throughput produced with this cutting-edge system.Introduction and Methods:This paper mainly introduced a novel,efficient,and cost-effective approach for the microsphere fabrication with the MBT system.In this work,the whole microsphere production equipment was built and the optimal conditions(like concentration,drying temperature,frequency,and voltage)for generating uniform hydroxypropyl cellulose-cyclosporine A(HPC-CsA)and poly-l-lactic acid(PLLA)microspheres were explored.Results:Results demonstrated that the optimal uniformity of HPC-CsA microspheres was achieved at 2%(w/v)HPC-CsA mixture,45°C(drying temperature),1,000 Hz(frequency),and 25 V(voltage amplitude).CsA microspheres[coefficient of variation(CV):~9%]are successfully synthesized,and the drug encapsulation rate was 84.8%.The methodology was further used to produce PLLA microspheres with a diameter of~2.55μm,and the best CV value achieved 6.84%.Conclusion:This investigation fully highlighted the integration of MEMS and bioprinting as a promising tool for the microsphere fabrication,and this MBT system had huge potential applications in pharmaceutical formulations and medical aesthetics.
文摘【目的】针对传统化学方法测定猕猴桃品质存在工序复杂、费时费力、需破坏性检测等问题,提出一种基于高光谱技术的高效无损检测方法。【方法】以110个米良1号猕猴桃(Actinidia chinensis var.deliciosa‘Miliang-1’)样本为研究对象,利用高光谱仪采集不同贮藏时间果实的高光谱反射光谱。利用光谱-理化值共生距离法(sample set partitioning based on joint X-Y distance sampling,SPXY)将猕猴桃样本按照8∶3的数量比例划分为训练集和测试集,统一采用支持向量机(SVM)对比分析标准正态变换(SNV)、多元散射校正(MSC)、一阶导数(1st-D)、二阶导数(2nd-D)、平滑算法(SG)对原始光谱进行预处理。使用遗传算法(genetic algorithm,GA)和随机蛙跳(random frog,RF)对猕猴桃高光谱特征波长进行筛选,结合支持向量回归(SVR)、反向传播神经网络(BP)算法,组合构建猕猴桃品质的回归预测模型。【结果】在组合模型中,可溶性固形物含量的最优模型为1st-D+GA-BP,R^(2)为0.903,RMSE为1.731;可滴定酸含量的最优模型为1st-D+GA-BP,R^(2)为0.857,RMSE为0.225。【结论】应用高光谱技术对米良1号猕猴桃可溶性固形物含量、可滴定酸含量进行无损检测具有可行性。为进一步研究不同品种猕猴桃可溶性固形物含量、可滴定酸含量的无损检测模型奠定了基础。
