Characterization of fluid behavior in 3D digital fracture by shearing deformation and its representative elementary volume using Lattice Boltzmann Method

Kengo Ikuo, Fei Jiang, Takeshi Tsuji

    研究成果: 会議への寄与タイプ学会誌査読

    抄録

    Fracture is fluid pathway of oil, natural gas and highly relates to structural trap. Depending on reservoir conditions, fracture can work as seal layer and also leak pathway. Thus, the structural properties of fracture have a great influence on the permeability. Permeability of fracture is usually measured by laboratory experiments, however few studies focused on calculating permeability by using flow simulation on digital fracture models. Here we use Lattice Boltzmann Method (LBM) to calculate the fluid velocity and permeability. Using LBM fluid flow simulation, we can easily change the reservoir parameters, such as temperature and aperture length of fracture. Here we use two natural fracture data: (1) non-sheared, and (2) sheared fracture models obtained by Ishibashi et al. (2015). After we digitalized these natural fractures, we numerically injected water into the two fracture models using LBM. To validate our simulation results, we compared the calculated permeability with the data of laboratory experiments. We then discussed the anisotropy of permeability on sheared model and the Representative Elementary Volume (REV) of the hydraulic properties of these fracture models as well. In this study, we extract several subdomains (i.e., small fracture models) from the whole model and estimate permeability of the subdomains. When the size of fracture model is smaller, the permeability estimated using LBM are scattered. However, the permeability is uniformly estimated when the model size is close to the whole model (0.1×0.15m). Therefore, the REV of the fracture model used in this study is ~0.1m. Because the hydraulic properties of fracture models smaller than REV are largely influenced by local heterogeneity, it is important to calculate hydraulic property by considering REV of sample.

    本文言語英語
    出版ステータス出版済み - 1月 1 2017
    イベント23rd Formation Evaluation Symposium of Japan 2017 - Chiba, 日本
    継続期間: 10月 11 201710月 12 2017

    その他

    その他23rd Formation Evaluation Symposium of Japan 2017
    国/地域日本
    CityChiba
    Period10/11/1710/12/17

    All Science Journal Classification (ASJC) codes

    • 地盤工学および土木地質学
    • 地質学
    • エネルギー工学および電力技術
    • 経済地質学
    • 地球化学および岩石学

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