基于晶格玻尔兹曼方法的均匀沙质沉积物中悬浮细颗粒迁移引起的渗透率降低模型

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Keisuke Mitsuhori, Toru Sato, Jiro Nagao, Norio Tenma
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引用次数: 0

摘要

悬浮微粒造成的堵塞导致沉积物渗透性降低,是从甲烷水合物中提取石油、天然气或甲烷气的常见问题。本研究对悬浮细颗粒引起的渗透率降低进行了新的模拟。采用三维点阵玻尔兹曼方法对框架砂土中固水两相流动进行了数值模拟。对于框架砂,通过对ct扫描图像的球谐级数展开提取真实砂粒的形状,并将其压缩到微观计算域中。对于每个细颗粒,考虑其与框架砂表面的碰撞,利用其表面上的压力积分来求解运动方程。计算出的相对渗透率不能仅仅用细颗粒的体积饱和度来模拟,还需要它们的比表面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of permeability reduction caused by suspended fine particles migrating in homogeneous sand sediment using lattice Boltzmann method

The reduction in permeability of sediments due to blockages caused by suspended fine particles is a common concern for the extraction processes of oil, natural gas, or methane gas from methane hydrate. In this study, the permeability reduction caused by suspended fine particles was newly modelled. Solid–water two-phase flow in frame sand sediment was numerically simulated by a three-dimensional Lattice Boltzmann method. For frame sand, shapes of real sand grains were extracted by series expansion of spherical harmonics from CT-scan images and packed in a microscopic computational domain. For each fine particle, a motion equation is solved using the pressure integrated on its surface with considering its collision to the frame sand surfaces. The calculated relative permeability could not be modelled solely by the volume saturation of the fine particles, but also their specific surface area was required.

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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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