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    Volume 48 Issue 2
    Feb.  2023
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    Article Contents
    Tang Yong, Xiao Ancheng, Tang Wenjun, Wang Ke, Zeng Fancheng, 2023. Stochastic Fracture Simulation Based on Three-Dimensional Laser Scan Technology: a Case Study of Kuqa River Outcrop in Kuqa Depression. Earth Science, 48(2): 640-656. doi: 10.3799/dqkx.2022.371
    Citation: Tang Yong, Xiao Ancheng, Tang Wenjun, Wang Ke, Zeng Fancheng, 2023. Stochastic Fracture Simulation Based on Three-Dimensional Laser Scan Technology: a Case Study of Kuqa River Outcrop in Kuqa Depression. Earth Science, 48(2): 640-656. doi: 10.3799/dqkx.2022.371

    Stochastic Fracture Simulation Based on Three-Dimensional Laser Scan Technology: a Case Study of Kuqa River Outcrop in Kuqa Depression

    doi: 10.3799/dqkx.2022.371
    • Received Date: 2022-11-17
    • Publish Date: 2023-02-25
    • The Kuqa Depression is an important natural gas exploration target area in the Tarim Basin. Although the gas-bearing layer from the lower Cretaceous in the Dabei-Keshen area is buried deeper than 7500 m, and the average lithologic tight porosity is 4.8%, the area is still getting high-yield industrial gas stream. Fractures developed in rock formations have become the key factor for high natural gas production. Therefore, using reasonable techniques to effectively express fractured atais the key to clarifying the development characteristics and spatial distribution off ractures in deep tight sandstone, and is the premise for the effective development off ractured gas reservoirs. The advantages of big data can be obtained by using 3D laser scanning. Using point data splicing, denoising, and cutting methods, directly identifying the effective fracture information in the point cloud data, and analyzing the identified fracture information in combination with the fracture data obtained from the field profile measurement are incredibly useful to establish a geological knowledge base of fracture information in the target area. Identifying the spatial extent of fracture development in the target area, the development law of fracture density, and the azimuthal distribution of fractures helps to determine the constraints for the later random simulation. Under the constraints of 3D laser scanning point cloud processing data, the fisher function using stochastic simulation technology can better represent the azimuthal deflection phenomenon between single fractures in the fracture development area, reflecting the random development characteristics of natural fractures. Using the fracture opening information, the Oda calculation method is used to calculate and analyze the seepage capacity of each fracture, and the influence of the fracture development area on the surrounding rock fluid seepage is quantitatively determined. The calculation results of the Kuqa River section in the Kuqa Depression show that the vadose zone caused by the fracture cluster on the right side can reach 3.1m in width and 2.6m in extension; The vadose zone of the fracture cluster in the middle area is 1.2m wide and the extension length is 1.4 m; The width of the fracture cluster vadose zone on the left is about 0.9m, and its extension length is only about 0.33m.Itisconsistentwithfielddata. It can be seen that the higher the density of fractures in the fracture cluster, the greater the impact on fluid vadose zone. The wider the width of the fluid vadose zone expansion in the fracture cluster, the scope of influence wider. This better expresses the characteristics of deep fractured tight gas reservoirs in Kuqa. It shows that the stochastic simulation technology of fractures based on laser scanning technology can truly express the three-dimensional spatial distribution of fractures and the contribution of luidflow through porous medium.

       

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