砂泥互层复合岩体力学特征与裂缝发育演化规律

    The mechanical characteristics of sand and mud interbedded composite rocks and the laws of crack development and evolution

    • 摘要: 针对互层状岩体岩石力学性质和裂缝发育规律不清的问题,以库车坳陷白垩系储层岩石为研究对象,通过人工制作砂泥互层岩体试样开展岩石压缩实验,并结合离散元数值模拟,从加载曲线、颗粒变形、应力链变化及裂缝扩展等方面分析砂泥互层复合岩体力学特征与裂缝发育演化规律。结果表明:(1)岩石压缩破坏过程的裂缝扩展方式主要为压剪裂缝,占比超过70%;(2)单一岩性的岩石强度高,互层状复合岩体的强度低于单一岩性岩石,砂泥互层岩体的强度甚至可能低于纯泥岩;(3)砂泥互层的复合材料破坏主要先出现在强度较低的泥岩中,强度较高的砂岩往往保持较好的完整性;(4)互层状岩体的强度和破裂形式受岩石矿物组成和岩层厚度(互层比例)共同影响,砂泥厚度(比例)接近时,岩体强度低、破坏最显著。研究结果可为油气勘探开发中储层预测、井眼轨迹优化、井壁稳定性分析等方面提供支持。

       

      Abstract: In response to the problem of unclear mechanical properties and crack development laws of interbedded rock masses, this study focuses on the Cretaceous reservoir rocks in the Kuqa Depression. Rock compression experiments were conducted by manually making sand mud interbedded rock samples, and combined with discrete element numerical simulation, the mechanical characteristics and crack development evolution laws of sand mud interbedded composite rock masses were analyzed from the aspects of loading curve, particle deformation, stress chain changes, and crack propagation. The results show that: (1) the crack propagation mode during rock compression failure is mainly compression shear cracks, accounting for more than 70%; (2) The strength of rocks with a single lithology is high, while the strength of interlayered composite rocks is lower than that of rocks with a single lithology. The strength of sand mud interlayered rocks may even be lower than that of pure mudstone; (3) The failure of composite materials with sand and mud interlayers mainly occurs in mudstone with lower strength, while sandstone with higher strength often maintains good integrity; (4) The strength and fracture mode of interlayered rock masses are jointly influenced by the mineral composition of the rock and the thickness of the rock layers (interlayered ratio). When the sand and mud thickness (ratio) is close, the strength of the rock mass is low and the failure is most significant. The research results can provide support for reservoir prediction, wellbore trajectory optimization, and wellbore stability analysis in oil and gas exploration and development.

       

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