包宏亮,刘楠楠,彭浩平. 考虑宏微观地质体属性提升盐穴储气库址优选准确率[J]. 石油钻采工艺,2025,47(4):489-499. DOI: 10.13639/j.odpt.202501032
引用本文: 包宏亮,刘楠楠,彭浩平. 考虑宏微观地质体属性提升盐穴储气库址优选准确率[J]. 石油钻采工艺,2025,47(4):489-499. DOI: 10.13639/j.odpt.202501032
BAO Hongliang, LIU Nannan, PENG Haoping. Improving the accuracy of salt cavern gas storage site selection by considering macro- and micro-scale geologic body attributes[J]. Oil Drilling & Production Technology, 2025, 47(4): 489-499. DOI: 10.13639/j.odpt.202501032
Citation: BAO Hongliang, LIU Nannan, PENG Haoping. Improving the accuracy of salt cavern gas storage site selection by considering macro- and micro-scale geologic body attributes[J]. Oil Drilling & Production Technology, 2025, 47(4): 489-499. DOI: 10.13639/j.odpt.202501032

考虑宏微观地质体属性提升盐穴储气库址优选准确率

Improving the accuracy of salt cavern gas storage site selection by considering macro- and micro-scale geologic body attributes

  • 摘要: 针对现有盐穴储气库选址评价体系建库等级误判率高(传统方法准确率不足60%)且评价指标覆盖不全的问题,构建了涵盖6个宏观地质体特征【岩盐矿层埋深、含盐地层厚度、含盐率(可溶物)、NaCl含量、储气规模、夹层厚度】和4个微观地质体特征(断裂韧性、盖层渗透率、盖层孔隙度及岩盐三轴强度)的多指标评价体系。通过宏观分析岩盐矿床构造、断裂系统及盖层封闭性,微观剖析目标岩盐物化特性与力学性能,利用层次分析法确定指标权重,结合灰靶模型计算候选库址综合靶心距,有效解决了传统方法评价指标不全、建库等级选择准确率低的难题。结果显示,金坛盐穴以最小综合靶心距(0.45)成为最优库址,且建库等级判断与实际建库顺序一致率达100%。该评价方法为盐穴储气库选址提供量化决策工具,对岩盐资源合理开发及盐穴高效综合利用具有重要工程指导意义。

     

    Abstract: To overcome the high misclassification rates of storage-class designation (traditional methods achieving <60% accuracy) and incomplete coverage of evaluation criteria encountered in current salt cavern gas storage site selection evaluation schemes, a multi-indicator assessment system was constructed. This system comprises six macroscopic geological variables---rock salt-bed burial depth, halite-bearing formation thickness, salinity (soluble fraction), NaCl content, gas-storage capacity, and interbed thickness—and four microscopic geologic parameters---fracture toughness of salt, caprock permeability, caprock porosity, and rock-salt triaxial strength. By macroscopically analyzing salt-deposit structure, fault systems, and caprock sealing integrity, and by microscopically characterizing the physicochemical and mechanical properties of target halite, the Analytic Hierarchy Process (AHP) was employed to assign criterion weights. Coupled with a grey-target model that computes the comprehensive target-center distance (TCD) for each candidate site, this approach effectively resolves the limitations of scant or incomplete criteria and low classification accuracy inherent to conventional site-selection practices. Results indicate that Jintan salt cavern, exhibiting the minimum TCD (0.45), emerges as the optimal site, and its storage-class designation achieves 100 % concordance with the actual construction sequence. The proposed methodology furnishes a quantitative decision-support tool for pre-feasibility SCGS siting, offering significant engineering guidance for the rational exploitation of halite resources and the efficient, integrated utilization of salt caverns.

     

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