聚电解质多层纳米颗粒作为水力压裂破酶剂的纳米容器

M. Alhajeri, Jenn-Tai Liang, R. B. Ghahfarokhi
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引用次数: 0

摘要

在这项研究中,层接层(LbL)组装的聚电解质多层纳米颗粒被开发为一种靶向和控制释放酶破剂的技术。采用胶体结构的聚电解质配合物(PECs)作为LbL构建块,通过静电吸附聚阴离子和聚阳离子的方法组装聚电解质多层膜(PEMs)。将高浓度的酶引入到带正电的聚电解质聚乙烯亚胺(PEI)溶液中,与带负电的聚电解质硫酸葡聚糖(DS)形成静电聚氨基甲酸乙酯。在适当的浓度和pH条件下,PEI与DS溶液在PEI-DS配合物的胶体结构下交替沉积,组装了PEMs。随着时间的推移,测试了PEMs的稳定性和可重复性。这项工作证明了PEMs作为一种酶的靶向和控制释放技术的重要性,因为它具有高负载能力、高胶囊化效率和对酶浓度的极端控制。采用酶黏度测定等浓度测量方法评价了聚电解质多层纳米颗粒的包封效率(EE%)。通过降低硼酸交联羟丙基瓜尔胶(HPG)的粘度和弹性模量,膜内酶的控制释放持续了更长的时间(> 18小时)。在40℃条件下,在1,000、2,000和4,000 psi的闭合应力下进行的长期裂缝导流性测试表明,混合酶载PEMs纳米颗粒的压裂液具有较高的裂缝清理效率。保留的裂缝导电性从25%提高到60%,这表明纳米颗粒在滤饼和整个裂缝面上的受控分布,而不是随机分散的未包裹的酶的影响。对于含有常规酶载PECs的流体体系,保留的裂缝导电性为34%。此外,酶负载的PEMs具有增强的纳米颗粒分布,高负载和包埋效率,以及酶的持续释放。这允许在处理过程中添加更高浓度的酶而不影响流体性质,从而有效地在更大程度上降解浓缩的残余凝胶。在高压滤失池中研究了聚电解质多层纳米颗粒在静态条件下的滤失性能。混合了纳米颗粒的硼酸交联HPG被过滤到具有相似渗透率的岩心塞中。在压裂液中加入多层纳米颗粒可以显著提高防漏效果。喷射损失系数值也被确定为比交联碱溶液产生更小的滤液体积。PEI-DS复合物桥接效应显示滤饼密度更大,颜色更浓,表明滤饼中分散相对均匀,颗粒大小合适。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polyelectrolyte Multilayered Nanoparticles as Nanocontainers for Enzyme Breakers During Hydraulic Fracturing Process
In this study, Layer-by-Layer (LbL) assembled polyelectrolyte multilayered nanoparticles were developed as a technique for targeted and controlled release of enzyme breakers. Polyelectrolyte multilayers (PEMs) were assembled by means of alternate electrostatic adsorption of polyanions and polycations using colloidal structure of polyelectrolyte complexes (PECs) as LbL building blocks. High enzyme concentrations were introduced into polyethyleneimine (PEI), a positively charged polyelectrolyte solution, to form an electrostatic PECs with dextran sulfate (DS), a negatively charged polyelectrolyte solution. Under the right concentrations and pH conditions, PEMs were assembled by alternating deposition of PEI with DS solutions at the colloidal structure of PEI-DS complexes. Stability and reproducibility of PEMs were tested over time. This work demonstrates the significance of PEMs as a technique for the targeted and controlled release of enzymes based on their high loading capacity, high capsulation efficiency, and extreme control over enzyme concentration. Entrapment efficiency (EE%) of polyelectrolyte multilayered nanoparticles were evaluated using concentration measurement methods as enzyme viscometric assays. Controlled release of enzyme entrapped within PEMs was sustained over longer time periods (> 18 hours) through reduction in viscosity, and elastic modulus of borate-crosslinked hydroxypropyl guar (HPG). Long-term fracture conductivity tests at 40℃ under closure stresses of 1,000, 2,000, and 4,000 psi revealed high fracture clean-up efficiency for fracturing fluid mixed with enzyme-loaded PEMs nanoparticles. The retained fracture conductivity improvement from 25% to 60% indicates the impact of controlled distribution of nanoparticles in the filter cake and along the entire fracture face as opposed to the randomly dispersed unentrapped enzyme. Retained fracture conductivity was found to be 34% for fluid systems containing conventional enzyme-loaded PECs. Additionally, enzyme-loaded PEMs demonstrated enhanced nanoparticle distribution, high loading and entrapment efficiency, and sustained release of the enzyme. This allows for the addition of higher enzyme concentrations without compromising the fluid properties during a treatment, thereby effectively degrading the concentrated residual gel to a greater extent. Fluid loss properties of polyelectrolyte multilayered nanoparticles were also studied under static conditions using a high-pressure fluid loss cell. A borate-crosslinked HPG mixed with nanoparticles was filtered against core plugs with similar permeabilities. The addition of multilayered nanoparticles into the fracturing fluid was observed to significantly improve the fluid- loss prevention effect. The spurt-loss coefficient values were also determined to cause lower filtrate volume than those with crosslinked base solutions. The PEI-DS complex bridging effects revealed a denser, colored filter cake indicating a relatively homogenous dispersion and properly sized particles in the filter cake.
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