Suppr超能文献

关于使用纳米机械原子力显微镜表征油暴露表面的研究。

On the use of nanomechanical atomic force microscopy to characterise oil-exposed surfaces.

作者信息

Kaimaki Domna-Maria, Smith Ben E, Durkan Colm

机构信息

Nanoscience Centre, University of Cambridge 11 JJ Thomson Avenue CB3 0FF UK

BP Exploration Operating Company Limited Chertsey Road Sunbury on Thames Middlesex TW16 7BP UK.

出版信息

RSC Adv. 2018 Feb 12;8(12):6680-6689. doi: 10.1039/c7ra12209h. eCollection 2018 Feb 6.

Abstract

Oil-exposed surfaces are susceptible to carbonaceous deposits (CDs). In turn, deposits are responsible for fouling, compromising performance and reducing profitability across the hydrocarbon value chain. An understanding of the deposition behaviour of these organic molecules is therefore imperative. In this paper we address the question of understanding the deposition in upstream operation, where the CDs are known to be asphaltenes, the heaviest fraction of oil. Systematic characterisation of fouled oil-exposed surfaces constitutes an initial step towards that direction and it is a challenging task in itself. We demonstrate the use of Atomic Force Microscopy (AFM) to map surface mechanical properties and how they can be used to determine differences between deposit types. We also demonstrate that the use of an adhesion inhibitor (AI) has a dramatic effect not only on the morphology but also on the mechanical properties of asphaltene deposits.

摘要

暴露于油中的表面易受碳质沉积物(CDs)影响。反过来,沉积物会导致结垢,损害性能并降低整个碳氢化合物价值链的盈利能力。因此,了解这些有机分子的沉积行为至关重要。在本文中,我们探讨了在上游作业中理解沉积的问题,在该作业中,已知CDs为沥青质,即油中最重的馏分。对受污染的油暴露表面进行系统表征是朝着这个方向迈出的第一步,而这本身就是一项具有挑战性的任务。我们展示了使用原子力显微镜(AFM)绘制表面力学性能图,以及如何利用这些性能来确定沉积物类型之间的差异。我们还证明,使用粘附抑制剂(AI)不仅对沥青质沉积物的形态有显著影响,而且对其力学性能也有显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e2/9078295/81ed6a6895f4/c7ra12209h-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验