Theoretical study of the synergistic effect between glyceryl monooleate lubricant and carboxymethylcellulose in reducing the coefficient of friction of water-based drilling fluids

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-11-26 DOI:10.1007/s00894-024-06221-7
Aline Carvalho Baruqui, Regina Sandra Veiga Nascimento, Marco Antonio Chaer Nascimento
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Abstract

Context

Drilling fluids must reduce the coefficient of friction between the drilling equipment and the drilled rock or well casing. Friction forces become particularly relevant in drilling with a high angle gain, in which cases oil-based fluids are generally used. The latter are highly lubricating, but harmful to the environment. For environmental and economic reasons, there is great interest in the development of new additives that enable the use of water-based drilling fluids in all phases of well drilling. Preliminary experimental results show that there is a synergistic effect between glyceryl monooleate (GMO), normally used as lubricant additive, and carboxymethyl cellulose (CMC), a polysaccharide normally used in water-based drilling fluids as a rheological modifier, resulting in extremely low friction coefficients. This work aimed to clarify, through theoretical calculations, the interaction between CMC and GMO, as well as their role in reducing the coefficient of friction between the drilling equipment and the drilled rock when added to water-based fluids.

Methods

Calculations based on density functional theory (DFT) were used to predict which, CMC or GMO, preferentially binds to the metal surface. The interactions between the polysaccharide and the surfactant were studied through a combination of classical molecular dynamics and DFT calculations. Finally, dynamic calculations were carried out involving fragments of the polysaccharide, the surfactant and hematite (Fe2O3) representing the metal surface, since in the experimental conditions the metal surface will be covered by a primary oxide layer. The results pointed to the preferential binding of CMC to hematite. Regarding the interaction between polymer and surfactant, it was found that the polar part of the GMO interacts with the CMC through hydrogen bonds while the nonpolar carbon chain remains close to the polymer due to hydrophobic interactions. Molecular dynamics calculations showed that GMO increases the binding energy of CMC to hematite and also that this increase in the binding energy is highly influenced by electrostatic interactions.

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单油酸甘油酯润滑剂与羧甲基纤维素在降低水基钻井液摩擦系数方面的协同效应理论研究
背景钻井液必须降低钻井设备与被钻岩石或井套管之间的摩擦系数。摩擦力在钻井增角较大的情况下尤为重要,在这种情况下,通常使用油基钻井液。后者润滑性能强,但对环境有害。出于环保和经济方面的考虑,人们对开发新的添加剂产生了浓厚的兴趣,以便在钻井的各个阶段使用水基钻井液。初步实验结果表明,通常用作润滑油添加剂的单油酸甘油酯(GMO)与通常在水基钻井液中用作流变改性剂的多糖类物质羧甲基纤维素(CMC)之间存在协同效应,可产生极低的摩擦系数。这项研究旨在通过理论计算阐明 CMC 和 GMO 之间的相互作用,以及它们加入水基钻井液后在降低钻井设备与被钻岩石之间摩擦系数方面的作用。通过结合经典分子动力学和 DFT 计算,研究了多糖和表面活性剂之间的相互作用。最后,由于在实验条件下金属表面会被原生氧化物层覆盖,因此进行了涉及多糖片段、表面活性剂和代表金属表面的赤铁矿(Fe2O3)的动态计算。结果表明,CMC 优先与赤铁矿结合。关于聚合物和表面活性剂之间的相互作用,研究发现 GMO 的极性部分通过氢键与 CMC 相互作用,而非极性碳链则由于疏水作用而紧贴聚合物。分子动力学计算表明,GMO 增加了 CMC 与赤铁矿的结合能,而且这种结合能的增加在很大程度上受到静电作用的影响。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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