He Xinyang, Zhang Kun, Jiang Shu, Jiang Zhenxue, Wang Xueying, Jiang Wei, Li Jing, Wu Yijia, Gao Zhi, Tang Tian, Yang Cheng, Yuan Xuejiao, Han Fengli, Wang Zeyun, Ye Laiting
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, 610500, China.
School of Geoscience and Technology, Southwest Petroleum University, Chengdu, 610500, China.
Sci Rep. 2025 Jan 14;15(1):1896. doi: 10.1038/s41598-025-86095-8.
The exploration and development of deep marine shale gas has made significant breakthroughs, but factors influencing gas contents of deep marine shale are elusive, and quantitative prediction methods of gas content needs to be refined urgently. In this study, the deep marine shale of Longmaxi Formation in Luzhou area was taken as an example, vitrinite reflectance analysis, kerogen microscopy experiment, TOC content analysis, mineral composition analysis, gas content measurement, isothermal adsorption experiment, physical property analysis and argon ion polishing scanning electron microscopy experiment were carried out to find out factors affecting the gas content of deep marine shale, and a gas content prediction model has been worked out. Conclusions below have been reached: the content of adsorbed gas is mainly affected by Ro, TOC content, porosity, water saturation, clay mineral content, formation temperature and pressure; the content of free gas is mainly controlled by porosity, water saturation, formation temperature and pressure; according to the prediction models, the adsorbed gas content, free gas content and total gas content of each well were quantitatively calculated, and the study area was divided into Class I (with a total gas content ≥ 11 m/t), Class II (with a total gas content between 9 m/t and 11 m/t), and Class III (with a total gas content < 9 m/t) gas-bearing areas.
深层海相页岩气的勘探开发取得了重大突破,但影响深层海相页岩气含量的因素尚不明确,气体含量的定量预测方法亟待完善。本研究以泸州地区龙马溪组深层海相页岩为例,开展了镜质体反射率分析、干酪根显微镜实验、TOC含量分析、矿物成分分析、气体含量测定、等温吸附实验、物性分析以及氩离子抛光扫描电子显微镜实验,以查明影响深层海相页岩气含量的因素,并建立了气体含量预测模型。得出以下结论:吸附气含量主要受Ro、TOC含量、孔隙度、含水饱和度、黏土矿物含量、地层温度和压力的影响;游离气含量主要受孔隙度、含水饱和度、地层温度和压力的控制;根据预测模型,定量计算了各井的吸附气含量、游离气含量和总气体含量,并将研究区划分为Ⅰ类(总气体含量≥11m/t)、Ⅱ类(总气体含量在9m/t至11m/t之间)和Ⅲ类(总气体含量<9m/t)含气区。