Published March 2018 | Version v1
Journal article

Inherent wettability of different rock surfaces at nanoscale: a theoretical study

  • 1. State Key Laboratory of Heavy Oil Processing and College of Science, China University of Petroleum, Qingdao 266555, Shandong, PR (China)
  • 2. Institute of Unconventional Oil & Gas and New Energy, China University of Petroleum, Qingdao 266555, Shandong, PR (China)
  • 3. Nano-Science Center and Department of Chemistry, University of Copenhagen, Copenhagen, DK-2100 (Denmark)

Description

Highlights: • MD simulations are performed to evaluate inherent rock wettability at nanoscale. • The mechanism of wetting phenomenon on rock surface is present in this simulation. • The effect of oil phase on wetting behavior of water on rock surface is investigated. • Wetting behavior of water on heterogeneous rock surface is shown in our study. Investigating the inherent wettability of rock surfaces at nanoscale is of great importance in ore floatation and oil recovery field. Using molecular dynamics simulations, we systematically study the wetting behavior of water on different rock surfaces (silica, calcite, gypsum, halite and graphite) at nanoscale. It is demonstrated that the inherent rock wettability follows the order of gypsum > calcite > halite > silica > graphite. Remarkably, we also manifest that the polarity of oil molecules can affect the water contact angles on silica surface. For example, the water contact angles on silica surface in hexane, dodecane, thiophene and toluene are 58 ± 2°, 63 ± 3°, 90 ± 1°, 118 ± 1°, respectively. Furthermore, we investigate the wetting behavior of water on heterogeneous rock surfaces and find that water molecules can move from hydrophobic surface to hydrophilic surface.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apsusc.2017.10.173

Additional details

Identifiers

DOI
10.1016/j.apsusc.2017.10.173;
PII
S0169433217331239;

Publishing Information

Journal Title
Applied Surface Science
Journal Volume
434
Journal Page Range
p. 73-81
ISSN
0169-4332
CODEN
ASUSEE

Optional Information

Copyright
Copyright (c) 2017 Elsevier B.V. All rights reserved.