基于数字岩芯的致密砂岩储层孔隙结构精细表征与评价
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本文为国家科技重大专项(编号:2017ZX05008- 006- 004- 002)和国家自然科学基金资助项目(编号:41504094)的成果


High resolution characterization and evaluate of pore structure of tight sandstone based on digital core technology
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    摘要:

    致密砂岩储层微观孔隙结构十分复杂,定量化表征难度较大。针对此问题,选取陕西榆林市府谷县天生桥二叠系下石盒子组八段的辫状河露头的8个典型样品,利用图像滤波、阈值分割、最大球等效算法等对选取的数字岩芯代表性体积元进行处理。建立了岩样的三维孔隙结构模型以及球棍模型,计算了微观结构参数,定量表征了致密砂岩储层孔喉大小分布及其连通性特征,并结合评价地质方法开展了微观孔隙结构定量评价。研究表明:① 基于孔隙直径将孔隙分为P1~P4四类,分别对应微、小、中和大孔。对差异较大的1号和8号两个典型样品进行详细分析,结果表明1号样品以小孔和中孔为主,8号以中孔为主。② 基于喉道半径分为R1~R4四类,大体对应弯片状、片状型喉道、缩紧型喉道和孔隙缩小型,1号样品以弯片状和片状为主,8号以孔隙缩小型为主。③ 开展了微观孔隙结构定量评价。基于分形维数、形状因子、欧拉数、连通率、视孔隙度和孔喉结构类型等参数,分为Ⅰ、Ⅱ、Ⅲ、Ⅳ 四级对8个样品进行了分级评价,取得了较好的评价效果。因此,数字岩芯技术从其强大的三维成像能力、数据处理能力等验证了能精确定量表征致密砂岩储层三维孔隙结构,可为致密砂岩油气资源评价与产能提供地质依据。

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    The microscopic pore structure of a tight sandstone reservoir is highly intricate, presenting challenges in its quantification. The primary focus was on utilizing digital core technology to analyze representative samples extracted from Member 8 of the Lower Permian Shihezi Formation at the TianShengQiao braided river outcrop in Fugu County, Yulin City, Shanxi Province.Methods: To achieve the research objectives, eight typical samples were meticulously selected and underwent a series of processes, including image filtering, threshold segmentation, and the maximum sphere equivalent algorithm. Digital representations of the core samples were then processed to establish both three- dimensional pore structure models and sphere—stick models. Microscopic structural parameters were calculated to quantitatively characterize the size distribution and connectivity features of pores and throats in tight sandstone reservoirs. The study also incorporated geological assessment methods to complement the quantitative evaluation of the micro- pore structure.Results: The study yielded significant results based on the analysis of pore diameter and throat radius. Pores were systematically categorized into four types (P1 to P4), representing micro, small, medium, and large pores. Similarly, throats were classified into four types (R1 to R4), corresponding to bent sheet- shaped, sheet- shaped, constricted, and pore- narrowing throats. The quantitative evaluation, utilizing parameters such as fractal dimension, shape factor, Euler number, connectivity, apparent porosity, and pore- throat structure type, classified the eight samples into four levels (I, II, III, IV), providing a comprehensive assessment of the micro- pore structure.Conclusion:In conclusion, digital core technology, leveraging its powerful three- dimensional imaging and data processing capabilities, demonstrated effectiveness in accurately and quantitatively characterizing the three- dimensional pore structure in tight sandstone reservoirs. The research outcomes contribute valuable geological insights, establishing a robust foundation for the evaluation and optimization of tight sandstone gas resources.

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邓雨薇,印森林,李秉科,聂昕.2024.基于数字岩芯的致密砂岩储层孔隙结构精细表征与评价[J].地质论评,70(1):2024010001,[DOI].
DENG Yuwei, YIN Senlin, LI Bingke, NIE Xin.2024. High resolution characterization and evaluate of pore structure of tight sandstone based on digital core technology[J]. Geological Review,70(1):2024010001.

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  • 收稿日期:2023-09-08
  • 最后修改日期:2023-12-21
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  • 在线发布日期: 2024-01-19
  • 出版日期: 2024-01-15