长江科学院院报 ›› 2021, Vol. 38 ›› Issue (3): 110-114.DOI: 10.11988/ckyyb.201912482021

• 岩土工程 • 上一篇    下一篇

热解过程中油页岩弹性模量变化规律

徐兴倩1, 刘剑2,3,4, 屈新5, 张新启1, 窦思军1   

  1. 1.云南农业大学 水利学院,昆明 650201;
    2.山西能源学院 地质测绘工程系,山西 晋中 030600;
    3.河北工程大学 地球科学与工程学院,河北 邯郸 056038;
    4.太原理工大学 原位改性采矿教育部重点实验室,太原 030024;
    5.安阳工学院 土木与建筑工程学院,河南 安阳 455000
  • 收稿日期:2019-10-15 修回日期:2020-02-29 发布日期:2021-03-17
  • 通讯作者: 刘剑(1983-),男,山西偏关人,讲师,博士,从事环境地质方面的研究。E-mail:5102135@163.com
  • 作者简介:徐兴倩(1985-),男,云南宣威人,讲师,博士,从事岩土工程方面的研究。E-mail:xuxingqian_123@163.com
  • 基金资助:
    山西省应用基础研究项目(201801D221329);河北省自然科学基金项目(E2019402361,E2020402075);国家自然科学基金项目(41867040);河北省博士后科研项目择优资助项目(B2020003010);河北工程大学博士基金项目(BSJJ1930)

Variation Rules of Elastic Modulus of Oil Shale during Pyrolysis

XU Xing-qian1, LIU Jian2,3,4, QU Xin5, ZHANG Xin-qi1, DOU Si-jun1   

  1. 1. College of Water Conservancy, Yunnan Agricultural University, Kunming 650201, China;
    2. Department of Geological Survey Engineering, Shanxi Institute of Energy, Jinzhong 030600, China;
    3. School of Earth Science and Engineering, Hebei University of Engineering, Handan 056038, China;
    4. Key Laboratory of In-situ Modification of Deposit Properties for Improving Mining of Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China;
    5. School of Civil and Architecture Engineering, Anyang Institute of Technology, Anyang 455000, China
  • Received:2019-10-15 Revised:2020-02-29 Published:2021-03-17

摘要: 为预测原位热解工艺带来的采区水文地质环境变化,通过控制热解温度和时间以研究不同热解程度油页岩的弹性模量变化规律。分析了油页岩弹性模量变化机理,结合油页岩热解反应速率方程,提出了热解过程中油页岩的弹性模量定量计算模型。将弹性模量试验值与计算值进行了对比分析,结果表明:计算值与试验值较为吻合,两者误差较小,提出的定量计算模型能较准确地估算热解过程中油页岩弹性模量。该模型对油页岩原位热解采区孔隙率、渗透率、地下水污染物运移模拟研究具有一定借鉴意义。

关键词: 油页岩, 热解, 弹性模量, 热解温度, 定量计算模型

Abstract: In the aim of predicting the hydrogeological environment changes in mining area caused by in-situ pyrolysis process, we examined the variation rules of elastic modulus of oil shale by controlling the pyrolysis temperature and time. We established a quantitative model of the elastic modulus of oil shale during pyrolysis based on the pyrolysis reaction rate equation. We further compared the test values with calculation values, and results suggest that the calculated elastic modulus values from the quantitative model are in good agreement with the experimental data, with a relatively small error. The proposed quantitative model accurately estimates the elastic modulus of oil shale during pyrolysis, thus is of referential value for the simulation of porosity, permeability, and groundwater pollutant transport in oil shale in-situ pyrolysis mining area.

Key words: oil shale, pyrolysis, elastic modulus, pyrolysis temperature, quantitative model

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