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In order to identify the comprehensive dessert of sandstone reservoirs, clarify the mineral, pore structure, rock mechanics and other characteristics of reservoir dessert, 280 samples were collected, and an efficient and precise characterization method for sandstone mineral characteristics based on digital rock debris and multi-dimensional reconstruction technology for sandstone pore throat structure were established. The mineral distribution, micro nano pore throat connectivity, and rock mechanics characteristics were systematically analyzed, and a comprehensive dessert identification method for sandstone reservoirs was developed. Research has shown that the main minerals in the MH1 well area are quartz and feldspar, while clay minerals are mainly composed of illite and montmorillonite mixed layers, with a relative content of 60–80%. The illite mixed layer clay minerals are more developed, followed by illite clay minerals; The four major types of storage space are residual intergranular pores, intragranular dissolution pores, clay intergranular pores, and clay shrinkage joints. The second section of the Upper Urhe Formation has a better distribution of pores and throat radii than the first section, with coordination numbers mostly ranging from 1 to 5. The overall connectivity of the samples is poor; The simulation of rock mechanics parameters based on mineral components shows that the average bulk modulus is 19.32 GPa, the average shear modulus is 10.09 GPa, the average Young’s modulus is 25.79 GPa, and the average Poisson’s ratio is 0.28; A comprehensive dessert identification method based on digital rock technology was established by integrating the distribution characteristics of key parameters in the key layers of MH1. The sensitivity control parameters include 16 items, including Yimeng mixed layer content, sedimentary microfacies, brittleness index, reservoir space type, pore throat radius, connectivity, coordination number, clay mineral content, and brittle mineral content. The comprehensive dessert identification was applied to the MHX001 well, and 14 comprehensive dessert segments were identified, Effectively guided the optimization of perforation sections and positions.

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Identification of Dessert in Gravel Reservoir Based on Digital Cuttings: A Case Study of Well MH1 in Junggar Basin

  • 会议论文

  • 发表日期：

    2025年

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  • Sai Liu,
  • Yun Wei,
  • Wen-wen Liu,
  • Hao Zhou,
  • Qing-xiang Lou,
  • Huan Liu

摘要

In order to identify the comprehensive dessert of sandstone reservoirs, clarify the mineral, pore structure, rock mechanics and other characteristics of reservoir dessert, 280 samples were collected, and an efficient and precise characterization method for sandstone mineral characteristics based on digital rock debris and multi-dimensional reconstruction technology for sandstone pore throat structure were established. The mineral distribution, micro nano pore throat connectivity, and rock mechanics characteristics were systematically analyzed, and a comprehensive dessert identification method for sandstone reservoirs was developed. Research has shown that the main minerals in the MH1 well area are quartz and feldspar, while clay minerals are mainly composed of illite and montmorillonite mixed layers, with a relative content of 60–80%. The illite mixed layer clay minerals are more developed, followed by illite clay minerals; The four major types of storage space are residual intergranular pores, intragranular dissolution pores, clay intergranular pores, and clay shrinkage joints. The second section of the Upper Urhe Formation has a better distribution of pores and throat radii than the first section, with coordination numbers mostly ranging from 1 to 5. The overall connectivity of the samples is poor; The simulation of rock mechanics parameters based on mineral components shows that the average bulk modulus is 19.32 GPa, the average shear modulus is 10.09 GPa, the average Young’s modulus is 25.79 GPa, and the average Poisson’s ratio is 0.28; A comprehensive dessert identification method based on digital rock technology was established by integrating the distribution characteristics of key parameters in the key layers of MH1. The sensitivity control parameters include 16 items, including Yimeng mixed layer content, sedimentary microfacies, brittleness index, reservoir space type, pore throat radius, connectivity, coordination number, clay mineral content, and brittle mineral content. The comprehensive dessert identification was applied to the MHX001 well, and 14 comprehensive dessert segments were identified, Effectively guided the optimization of perforation sections and positions.