Qi Qi, Fu Xuehai, Kang Junqiang, Lu Jielin, Zhang Baoxin, Cheng Ming
Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China.
School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.
ACS Omega. 2024 Jul 22;9(30):33162-33173. doi: 10.1021/acsomega.4c04608. eCollection 2024 Jul 30.
Deep coal reservoirs, as opposed to their shallower counterparts, exhibit characteristics of higher temperatures and pressures. These conditions affect the fracture structure and mechanical properties of coal, which in turn controls permeability. Substantial studies have been conducted to determine the effects of overburden pressure on permeability, but the correlation between the temperature and mechanical parameters/permeability of coal remains unclear. This study focused on low-rank bituminous coal from the southern edge of the Junggar Basin in Xinjiang. Using experiments conducted on seepage and mechanics at different depths (considering effective stress and temperature), the study investigated how temperature affects the mechanical parameters and permeability of coal column samples. A permeability prediction model was established incorporating temperature, mechanical parameters, and effective stress. The results show that from 20 to 80 °C, the elastic modulus of coal column samples decreases by 31.0%, and the Poisson ratio increases by 72.0%. Permeability decreases between 48.37 and 90.12% under different depths. The stress sensitivity coefficient under various temperature conditions decreased exponentially as the effective stress increased, and the temperature sensitivity coefficient under various effective stress conditions decreased with increasing temperature. The permeability was more sensitive to a temperature below 40 °C. In the permeability prediction model, the fracture compressibility coefficient is bifurcated into two coefficients, each controlled by temperature and effective stress. The permeability prediction error of the model was 12.7% under constant effective stress and 17.2% under varying effective stress and temperature conditions. The study could provide guidance for fracturing and coalbed methane production in deep coal reservoirs.
与较浅的煤储层相比,深部煤储层具有温度和压力较高的特点。这些条件会影响煤的裂缝结构和力学性质,进而控制渗透率。已经进行了大量研究来确定上覆压力对渗透率的影响,但煤的温度与力学参数/渗透率之间的相关性仍不明确。本研究聚焦于新疆准噶尔盆地南缘的低阶烟煤。通过在不同深度进行渗流和力学实验(考虑有效应力和温度),研究了温度如何影响煤柱样品的力学参数和渗透率。建立了一个包含温度、力学参数和有效应力的渗透率预测模型。结果表明,在20至80℃范围内,煤柱样品的弹性模量降低了31.0%,泊松比增加了72.0%。在不同深度下,渗透率降低了48.37%至90.12%。不同温度条件下的应力敏感系数随有效应力增加呈指数下降,不同有效应力条件下的温度敏感系数随温度升高而降低。渗透率在40℃以下时对温度更敏感。在渗透率预测模型中,裂缝压缩系数被分为两个系数,分别由温度和有效应力控制。在恒定有效应力下,模型的渗透率预测误差为12.7%,在有效应力和温度变化条件下为17.2%。该研究可为深部煤储层的压裂和煤层气开采提供指导。