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Melamine-modified polyacrylic grafted on activated carbon and its efficiency for shale inhibition 活性炭接枝三聚氰胺改性聚丙烯酸及其页岩缓蚀效果研究
Q3 ENERGY & FUELS Pub Date : 2022-02-01 DOI: 10.1016/j.upstre.2022.100065
Mulya M. Nur , Tawfik A. Saleh

This work reports on the synthesis of allyl-activated carbon modified with polyacrylic and then aminated by melamine. The obtained melamine-modified polyacrylic grafted activated carbon (C-g-AM) was then characterized for structural and morphological properties. The synthesized C-g-AM was characterized by several tools. This was followed by an evaluation of the inhibitive ability of the material by performing various inhibition tests, including shale recovery, anti-swelling, and immersion tests. 2 wt% C-g-AM effectively decreased water invasion into shale, because the combination of activated carbon as a core-center particle with the melamine–polyacrylic acid component is absorbed on clay surface through hydrogen bonds and electrostatic interactions.

本文报道了用聚丙烯酸改性后经三聚氰胺胺化的烯丙基活性炭的合成。然后对所得的三聚氰胺改性聚丙烯酸接枝活性炭(C-g-AM)进行了结构和形态表征。合成的C-g-AM通过多种工具进行了表征。随后,通过进行各种抑制测试来评估材料的抑制能力,包括页岩开采、抗膨胀和浸泡测试。2 wt% C-g-AM有效地减少了水侵入页岩,因为活性炭作为核心中心颗粒与三聚氰胺-聚丙烯酸组分的结合通过氢键和静电相互作用被粘土表面吸收。
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引用次数: 17
Study of microcrystalline and macrocrystalline structure based on Cambay basin crude oils 基于坎贝盆地原油的微晶与宏观晶结构研究
Q3 ENERGY & FUELS Pub Date : 2022-02-01 DOI: 10.1016/j.upstre.2022.100067
Uttam Gupta , Akshaya Kumar Mishra

Production of wax associated light crude is quite difficult as the pressure drops from the reservoir to production facility are quite large. This often leads to the precipitation and deposition of common organic solids (wax). These solids may deposit on surfaces, collect in low-energy regions or increase the effective viscosity of the flowing fluid. The two types of wax crystal studied which are microcrystalline and macro crystalline waxes. Microcrystalline waxes (naphthene or isoparaffinic) are produced by de-oiling of petroleum. Macrocrystalline waxes (Paraffins) consists of long straight chain saturated hydrocarbons (linear alkanes). Proper knowledge of wax crystal type would help in understanding fluid flow dynamics and simulate it accordingly. It also helps in prevent blockage and select an effective wax inhibitor in the treatment of wax precipitation and deposition. Therefore, its necessary to analyze the behavior and property of waxy crude. The current study determines different physical & microscopic properties along with the chemical composition of the crude sample obtained from Cambay Basin. Fourier Transform Infrared spectroscopy (FTIR) is used to identify chemical component with its composition. The behavior of the crudes is studied in static and dynamic conditions with different temperatures and shear rates. The crude oil shows a decrease in viscosity with increasing temperature and shear rate. The paperwork also investigates the use of Cross-Polarized Microscopy (CPM) to determine whether crude oil shows microcrystalline or macrocrystalline wax behavior.

由于从储层到生产设备的压力降非常大,蜡伴生轻质原油的生产相当困难。这通常会导致常见有机固体(蜡)的沉淀和沉积。这些固体可能沉积在表面上,聚集在低能区域或增加流动流体的有效粘度。研究了微晶蜡和宏晶蜡两种蜡晶。微晶蜡(环烷或异烷烃)是由石油脱油生产的。大晶蜡(石蜡)由长直链饱和烃(线性烷烃)组成。正确认识蜡晶类型有助于理解流体流动动力学并进行相应的模拟。它还有助于防止堵塞,并在蜡沉淀和沉积的处理中选择有效的蜡抑制剂。因此,有必要对含蜡原油的行为和性质进行分析。目前的研究确定了不同的物理&显微性质以及从坎贝盆地获得的原油样品的化学成分。傅里叶变换红外光谱(FTIR)是利用化学成分来鉴别化学成分的方法。在不同的温度和剪切速率下,研究了原油在静态和动态条件下的行为。原油粘度随温度和剪切速率的升高而降低。该文件还研究了交叉极化显微镜(CPM)的使用,以确定原油是否显示微晶或大晶蜡的行为。
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引用次数: 0
Erratum regarding missing Declaration of Competing Interest statements in previously published articles 关于先前发表的文章中缺少竞争利益声明的勘误表
Q3 ENERGY & FUELS Pub Date : 2022-02-01 DOI: 10.1016/j.upstre.2022.100070
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引用次数: 0
Advanced trends of shale inhibitors for enhanced properties of water-based drilling fluid 提高水基钻井液性能的页岩抑制剂研究进展
Q3 ENERGY & FUELS Pub Date : 2022-02-01 DOI: 10.1016/j.upstre.2022.100069
Tawfik A. Saleh

Water-based mud (WBM) is an environmentally acceptable drilling fluid. However, it makes shale to be prone to swelling owing to its interaction with active clays. Shale swelling makes drilling to be difficult, so, additives are added to inhibit shale swelling, and improve rheological and filtration properties. The use of conventional additives particularly organic and inorganic compounds are not suitable at extreme conditions of drilling. Other materials like nanomaterials have emerged as promising alternatives used under such conditions. This review aims to highlight in detail the essential types of inhibitors and the evolvement of nanoparticles in enhancing drilling fluid properties.

水基泥浆(WBM)是一种环保的钻井液。然而,由于它与活性粘土的相互作用,使页岩容易膨胀。页岩膨胀给钻井带来了困难,因此需要添加添加剂来抑制页岩膨胀,并改善其流变性和过滤性能。常规添加剂,特别是有机和无机化合物的使用不适用于钻井的极端条件。其他材料,如纳米材料,已经成为在这种条件下使用的有希望的替代品。本文旨在详细介绍抑制剂的基本类型以及纳米颗粒在提高钻井液性能方面的发展。
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引用次数: 48
Machine learning based rate decline prediction in unconventional reservoirs 基于机器学习的非常规油藏递减率预测
Q3 ENERGY & FUELS Pub Date : 2022-02-01 DOI: 10.1016/j.upstre.2022.100064
Subhrajyoti Bhattacharyya, Aditya Vyas
<div><p><span>The main objective of this paper is to develop a novel machine learning based model that can accurately predict the decline curves and EUR (Estimated Ultimate Recovery) for new wells based on the data collected from nearby wells. This is because decline curves are easier and faster alternative to complex reservoir simulators which perform computationally expensive operations. In contrast to this, decline curves require only a few parameters in the equation which can be easily collected from the existing data of the wells. In this study, first we collected the well data corresponding to well parameters such as initial monthly oil flow rate (</span><span><math><msub><mi>q</mi><mi>i</mi></msub></math></span><span>), well completion parameters (i.e., no. of fracturing stages, completed length, amount of proppant<span><span> used, amount of fracturing fluid used), well location parameters (TVD Heel-Toe Difference), reservoir fluid<span><span> properties (Oil API Gravity, initial 24 h period Gas-Oil Ratio (GOR), initial 24 h period Gas Produced, initial 24 h period Oil Produced), flowing tubing pressure, casing pressure tubing size,choke size from publicly available databases of the </span>Eagle Ford Shale<span> formation Texas RRC (Railroad Commission of Texas). Wells were selected randomly and only those wells were finally included for the study whose data of the all the required parameters were available. The model parameters were estimated by fitting the production data to the decline curve models. Artificial Neural Network (ANN) was employed to build Machine learning models as a function of the above well parameters for the corresponding model parameters. The decline curves for new or existing wells were rapidly predicted using these models. In order to estimate the predictive accuracy of these models when applied to new or test wells </span></span></span>cross validation technique such as k-fold cross validation was employed. These models were also used to predict EUR for the test wells. Additionally, feature selection was also done using algorithms such as Chi Square Test (χ2) and </span></span><span>Minimum Redundancy Maximum Relevance (MRMR) Algorithm</span><svg><path></path></svg><span><span> to determine the relative importance of predictor variables in predicting EUR. The predictor variables were successfully linked to SEDM (Stretched </span>Exponential Decline<span> Model) decline curve parameters (n and τ) in a random set of oil field well data. The relative influences of various well parameters were also examined to determine the hidden relationship between them. The novelty in this study lies in the algorithm and dataset that we used for the rate decline prediction in Eagle Ford data set. Although, this paper has referenced some previous papers where machine learning has been used to make prediction, but this paper presents use of new algorithm as well as a new dataset. As more data gets available, there is definitely extr
本文的主要目标是开发一种新的基于机器学习的模型,该模型可以根据附近井收集的数据准确预测新井的下降曲线和EUR(估计最终采收率)。这是因为递减曲线比复杂的油藏模拟器更容易、更快速,后者需要进行昂贵的计算操作。与此相反,递减曲线只需要几个参数,这些参数可以很容易地从现有井的数据中收集到。在这项研究中,我们首先收集了与井参数相对应的井数据,如初始月产油量(qi)、完井参数(即no.;这些数据来自Eagle Ford页岩地层的公开数据库,包括压裂级数、完井长度、支撑剂用量、压裂液用量、井位参数(TVD)、储层流体性质(石油API比重、初始24小时气油比(GOR)、初始24小时产气量、初始24小时产油量)、流动油管压力、套管压力、油管尺寸、节流孔尺寸等。随机选择井,只有获得所有所需参数数据的井才最终被纳入研究。将产量数据拟合到递减曲线模型中,估计模型参数。采用人工神经网络(ANN)对相应的模型参数建立以上述井参数为函数的机器学习模型。利用这些模型可以快速预测新井或现有井的递减曲线。为了估计这些模型在应用于新井或测试井时的预测精度,采用了交叉验证技术,如k-fold交叉验证。这些模型也用于预测测试井的EUR。此外,还使用卡方检验(χ2)和最小冗余最大相关性(MRMR)算法等算法进行特征选择,以确定预测变量在预测EUR中的相对重要性。预测变量成功地与一组随机油井数据中的SEDM(拉伸指数下降模型)下降曲线参数(n和τ)相关联。考察了各井参数的相对影响,确定了它们之间的隐含关系。本研究的新颖之处在于我们用于Eagle Ford数据集的速率下降预测的算法和数据集。虽然,这篇论文参考了之前一些使用机器学习进行预测的论文,但这篇论文使用了新的算法和新的数据集。随着越来越多的数据可用,使用机器学习方法进行进一步的数据分析和改进结果肯定会有额外的空间。未来,可以增加井数,投入更多时间后,可以再次提交更新的结果。这里需要指出的是,数据下载和准备花费了此类研究的大部分时间,特别是在处理石油和天然气数据时。
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引用次数: 9
An experimental study of calcium carbonate precipitation with hydrate inhibitor in MEG recovery unit 水合物抑制剂在MEG回收装置中沉淀碳酸钙的实验研究
Q3 ENERGY & FUELS Pub Date : 2022-02-01 DOI: 10.1016/j.upstre.2021.100061
Fabiane S. Serpa , Gabriela M. Silva , Lucas F.L. Freitas , Elvio B. Melo Filho , Jailton F. Nascimento , Leonardo S. Pereira , Giancarlo R. Salazar-Banda , Gustavo R. Borges , Cláudio Dariva , Elton Franceschi

Monoethylene glycol (MEG) is a thermodynamic inhibitor of gas hydrate formation used in the oil industry. Regeneration of MEG for reinjection in wells is necessary to minimize operating costs due to the large amounts of this additive employed. However, this scenario favors the precipitation of inorganic salts from the produced water, mainly calcium carbonate (CaCO3). This work is devoted to evaluating the CaCO3 precipitation in water + MEG mixtures (0–50 vol.% MEG) at different concentrations of reacting salts (0.01–0.1 mol L−1) and temperatures (25–60 °C). The focused beam reflectance measurement (FBRM) technique was used for inline monitoring of chord length and CaCO3 particles distribution in the suspension for 60 min. Optical microscopy was used to understand the particle precipitation phenomena. FBRM results show that the size distribution and the number of CaCO3 particles in the aqueous solution vary with time, temperature, reacting salts, and MEG concentrations. The higher the salt concentration, the larger both the size and number of precipitated chords. Temperature expressively affects salt precipitation. For a given concentration of MEG, the enhancement in temperature favors the increase in the amount and size of chords. Specifically, for 10% v/v of MEG solutions, the particle size increases from 8.0 ± 0.5 μm (at 25 °C) to 20.4 ± 2.1 μm (at 60 °C). Additionally, at 30% v/v of MEG in the solution, the particle size increases from 5.4 ± 0.4 μm (at 25 °C) to 15.5 ± 0.2 μm (at 60 °C). These outcomes are related to the reduction in CaCO3 solubility and the improvement in MEG viscosity with temperature. Optical microscopy measurements corroborate the FBRM data, thus demonstrating the influence of the parameters MEG concentration, ionic concentration, and temperature have on the number and size of precipitated carbonate crystals.

单乙二醇(MEG)是一种用于石油工业的天然气水合物形成的热力学抑制剂。由于使用了大量的MEG添加剂,因此有必要将MEG再生后再回注到井中,以最大限度地降低运营成本。然而,这种情况有利于从采出水中沉淀无机盐,主要是碳酸钙(CaCO3)。这项工作致力于评估在不同浓度的反应盐(0.01-0.1 mol L−1)和温度(25-60°C)下,水+ MEG混合物(0-50 vol.% MEG)中CaCO3的沉淀。采用聚焦光束反射测量(FBRM)技术在线监测悬浮液中的弦长和CaCO3颗粒分布,监测时间为60 min。采用光学显微镜观察颗粒沉淀现象。FBRM结果表明,水溶液中CaCO3颗粒的大小分布和数量随时间、温度、反应盐和MEG浓度的变化而变化。盐浓度越高,沉淀弦的大小和数量越大。温度对盐降水有显著影响。在一定的MEG浓度下,温度的升高有利于弦的数量和大小的增加。当MEG溶液浓度为10% v/v时,粒径从8.0±0.5 μm(25℃)增加到20.4±2.1 μm(60℃)。此外,当MEG浓度为30%时,粒径从5.4±0.4 μm(25℃)增加到15.5±0.2 μm(60℃)。这些结果与CaCO3溶解度降低和MEG粘度随温度升高有关。光学显微镜测量证实了FBRM数据,从而证明了MEG浓度、离子浓度和温度参数对沉淀碳酸盐晶体的数量和大小的影响。
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引用次数: 3
Application of Lemongrass essential oil as a bactericide for produced water treatment in an Oil Collecting Station of North-East, India 香茅精油杀菌剂在印度东北部采油站采出水处理中的应用
Q3 ENERGY & FUELS Pub Date : 2021-09-01 DOI: 10.1016/j.upstre.2021.100050
Ranjan K. Bhagobaty, Mintu Borkataky

Essential oils of medicinal and aromatic plants have been known to possess inherent anti-microbial properties. In the present study field application of lemongrass essential oil (hydrosol form) was undertaken as substitute to conventionally used synthetic bactericides in an Oil Collecting Station located in Assam, India. Results obtained during the course of the three-month long field assessment has successfully demonstrated that Lemongrass essential oil (hydrosol form) can be used as a bactericide to arrest growth of harmful corrosion causing sulphate reducing bacteria in produced water co-produced with oil and gas during the primary processing of crude at the Oil Collecting Station.

药用和芳香植物的精油具有固有的抗微生物特性。在本研究中,在印度阿萨姆邦的一个采油站,采用柠檬草精油(纯溶胶形式)作为常规使用的合成杀菌剂的替代品。在长达三个月的现场评估过程中获得的结果成功地证明,柠檬草精油(纯溶胶形式)可以作为杀菌剂,阻止在采油站原油初级加工过程中与油气共产的采出水中有害腐蚀的硫酸盐还原细菌的生长。
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引用次数: 1
Development of smart bentonite drilling fluid introducing iron oxide nanoparticles compatible to the reservoirs of Upper Assam 开发智能膨润土钻井液,引入与上阿萨姆邦储层兼容的氧化铁纳米颗粒
Q3 ENERGY & FUELS Pub Date : 2021-09-01 DOI: 10.1016/j.upstre.2021.100058
Debashree Dutta , Borkha Mech Das

Applications of nanoparticles (NPs) in petroleum drilling are the state-of-the art for nanotechnology and petroleum technology. Highlighting the role of iron oxide NPs as an additive and substitute to commercial additives, the research aims in formulation of a novel nano based drilling fluid (NDF) by meticulously studying the rheological and filtration properties. The research emphasizes on two perspectives of high cost of NPs and enhancement of properties of drilling fluid with maximum feasibility to explore the reservoirs of Upper Assam basins. Chemical reduction method was employed for synthesizing iron oxide NPs and characterized by ultraviolet visible spectrophotometer and particle size analyzer. Rheological and filtration properties of the NDF were conducted by addition of iron oxide NPs from 5 wt% to 40 wt%. The research presents the formulation of a smart drilling fluid using NPs as a sole additive replacing other commercial ones. NDF, so far has not been used in the reservoirs of Upper Assam Basins owing to economic factors and real-time feasibility. Apart from unleashing the various reasons for compatibility of NDF in such reservoirs, the research also highlights the practical limitations encountered during mud formulation and field use.

纳米颗粒(NPs)在石油钻井中的应用是纳米技术和石油技术的最新进展。强调氧化铁NPs作为添加剂和商业添加剂替代品的作用,该研究旨在通过仔细研究流变性和过滤性能来配制一种新型纳米基钻井液(NDF)。研究强调了NPs的高成本和提高钻井液性能两个方面,最大限度地提高了上阿萨姆盆地储层勘探的可行性。采用化学还原法合成氧化铁NPs,并用紫外可见分光光度计和粒度分析仪对其进行了表征。研究了氧化铁NPs在5 wt% ~ 40 wt%范围内的加入对NDF的流变性能和过滤性能的影响。该研究提出了一种智能钻井液的配方,使用NPs作为替代其他商业添加剂的唯一添加剂。到目前为止,由于经济因素和实时可行性,NDF尚未在上阿萨姆盆地的水库中使用。除了揭示NDF在此类油藏中相容性的各种原因外,该研究还强调了泥浆配制和现场使用过程中遇到的实际限制。
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引用次数: 3
Two deterministic methodologies for estimation of OGIP by production dynamics diagnostic of gas-condensate reservoir 凝析气藏生产动态诊断估算OGIP的两种确定性方法
Q3 ENERGY & FUELS Pub Date : 2021-09-01 DOI: 10.1016/j.upstre.2021.100042
Chang Su , Gang Zhao , Hua Cai , Wanju Yuan , Lei Xiao , Kefeng Lu

This study presents two independent methodologies for estimation of original gas in place (OGIP) by production dynamics diagnostic of gas-condensate reservoir with no-flow outer boundary based on black-oil concept. Classic Blasingame decline-type curves are also extended to apply in gas-condensate reservoir to calculate kh. Both numerically simulated case and field data are used to demonstrate the applicability and validity of proposed methodologies.

One method develops a novel analytical model to obtain average reservoir pressure, OGIP and Diatz shape factor at the same time by coupling flow equation of gas-condensate reservoir for boundary dominated flow (BDF) and general material balance equation (GMBE). The two-phase variable-rate flow equation at late time for BDF is clearly and concisely derived in this study in terms of defined two-phase pseodopressure and two-phase material balance pseudotime. In addition, another innovative, simple and effective method for estimation of OGIP is proposed in this study requiring input data of only cumulative production of well and reservoir fluid PVT characteristics of Constant Volume Depletion (CVD) experiment. The fundamental concept of this method suggests that transient cumulative production GOR is determined by only current gas recovery degree and fluid PVT characteristics of the reservoir. Due to the accurate, simple and relaxed data-requiring nature of this method, widespread use in field to estimate OGIP of gas-condensate reservoir is potentially encouraging. On the contrary, if OGIP is already known, an intermediate equation of the method can also be applied to check accuracy of CVD experiment results from laboratory.

The first methodology extends OGIP estimation to gas-condensate reservoir from Blasingame and Lee (1988)’s method for dry-gas reservoir. Often used two-phase z factor, which is inconvenient to evaluate and easy to yield error, for gas-condensate reservoir in material balance equation is avoided in this methodology by applying more analytical and accurate Walsh et al. (1994)’s GMBE instead. The second methodology, to the authors’ knowledge, is the first proposed allowing OGIP estimation of gas condensate reservoir without requiring bottom hole flowing pressure (BHFP), pressure tests and complex calculation.

本文提出了基于黑油概念的两种独立的外边界无流凝析气藏生产动态诊断方法来估算原始含气量。将经典的Blasingame递减型曲线推广到凝析气藏中,计算kh。数值模拟实例和现场数据都证明了所提出方法的适用性和有效性。一种方法通过将凝析气藏边界主导流流动方程(BDF)与一般物质平衡方程(GMBE)耦合,建立了一种新的解析模型,可以同时获得平均储层压力、OGIP和Diatz形状因子。本文根据定义的两相伪压力和两相物料平衡伪时间,清晰、简洁地推导出了BDF后期两相变速率流动方程。此外,本研究还提出了一种新颖、简单、有效的OGIP估算方法,该方法只需要输入井累积产量和储层流体PVT特征的恒容衰竭(CVD)实验数据。该方法的基本概念表明,瞬态累积生产GOR仅由当前的气采程度和储层流体PVT特征决定。由于该方法准确、简单且数据要求不高,因此在油田中广泛应用于估计凝析气藏的OGIP具有潜在的鼓舞作用。反之,如果已知OGIP,也可以用该方法的中间方程来检验实验室CVD实验结果的准确性。第一种方法将OGIP估计从Blasingame和Lee(1988)的干气储层方法扩展到凝析气藏。该方法避免了凝析气藏在物质平衡方程中经常使用的不方便评价且容易产生误差的两相z因子,采用了更具解析性和准确性的Walsh等(1994)的GMBE来代替。据作者所知,第二种方法是首次提出的允许OGIP估计凝析气藏而不需要井底流动压力(BHFP)、压力测试和复杂计算的方法。
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引用次数: 0
Drilling oil-based mud waste as a resource for raw materials: A case study on clays reclamation and their application as fillers in polyamide 6 composites 钻井油基泥浆废弃物作为原料资源:粘土回收及其在聚酰胺6复合材料中的应用研究
Q3 ENERGY & FUELS Pub Date : 2021-09-01 DOI: 10.1016/j.upstre.2021.100036
Shohel Siddique , Pak Sing Leung , James Njuguna

To convert the hazardous oil-based mud waste into a resource, this study has addressed reclaimed nanoclays and its application as a filler material for reinforcing polyamide 6 polymer matrix into a novel polymer composite material. This work focuses on the synergistic effect of complex mixture of various clay minerals reclaimed from oil-based mud waste on different mechanical properties in polyamide-6 (PA6)/oil-based mud fillers (OBMFs) nanocomposites. PA6/OBMFs nanocomposites were manufactured through the melt compounding of OBMFs with PA6 in a twin-screw extruder followed by injection moulding.

The study shows significant improvement for mechanical properties. For instance, the tensile properties increased with the incremental loadings of OBMFs in PA6 matrix. The Young's moduli were increased by 42% and 35% in PA6 with 7.5 and 10 wt% OBMFs nanocomposites respectively whereas the tensile strengths were increased by 24% and 16% in PA6 with 7.5 and 10 wt% OBMFs nanocomposites respectively. The flexural strength increased by 26% with the addition of OBMFs from 0 to 10 wt% in PA6. The storage modulus of the nanocomposite containing 10 wt% OBMFs was 16% higher than the storage modulus of neat PA6 at 30 °C, whereas at 60 °C (glass transition temperature, Tg of neat PA6) the storage modulus of PA6 with 10 wt% OBMFs was 56% higher than that of neat PA6. The study shows that the oil-based mud waste can be appropriately management to develop a new raw materials resource for polymer technology.

为了使危险的油基泥浆废弃物资源化,本研究研究了再生纳米粘土及其作为填充材料增强聚酰胺6聚合物基体成为新型聚合物复合材料的应用。本文研究了从油基泥浆中回收的多种粘土矿物的复合混合物对聚酰胺-6 (PA6)/油基泥浆填料(OBMFs)纳米复合材料不同力学性能的协同效应。采用双螺杆挤出机将OBMFs与PA6熔融复合,然后进行注塑成型,制备了PA6/OBMFs纳米复合材料。研究表明,该材料的力学性能得到了显著改善。例如,在PA6基体中,OBMFs的拉伸性能随着载荷的增加而增加。添加7.5 wt%和10 wt% OBMFs纳米复合材料的PA6的杨氏模量分别提高了42%和35%,而添加7.5 wt%和10 wt% OBMFs纳米复合材料的PA6的拉伸强度分别提高了24%和16%。在PA6中,OBMFs从0 wt%添加到10 wt%,抗弯强度增加了26%。在30℃下,含10 wt% OBMFs的纳米复合材料的存储模量比纯PA6的存储模量高16%,而在60℃(玻璃化温度,纯PA6的Tg)下,含10 wt% OBMFs的PA6的存储模量比纯PA6的存储模量高56%。研究表明,对油基泥浆废弃物进行合理治理,可为聚合物技术开发新的原料资源。
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引用次数: 7
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Upstream Oil and Gas Technology
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