Micro-pore structure and fractal characteristics of deep shale from Wufeng Formation to Longmaxi Formation in Jingmen exploration area, Hubei Province, China

Xiaoming Li , Yarong Wang , Wen Lin , Lihong Ma , Dexun Liu , Jirong Liu , Yu Zhang
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引用次数: 12

Abstract

To explore the pore structure and fractal characteristics of shale reservoirs in the Jingmen exploration area and quantitatively evaluate the heterogeneity and complexity of pores, taking Wufeng-Longmaxi formations of Well YT3 as the research object, the pore structure characteristics of shale reservoirs are analyzed by low-pressure nitrogen adsorption experiments, total organic carbon (TOC) content testing, X-ray diffraction analysis, etc., and the FHH fractal model is established based on the low-temperature nitrogen adsorption fractal geometry method. The relationship between fractal dimension and shale composition, pore structure, physical property, gas-bearing property, and burial depth is discussed. The results show that (1) The lower section of Longmaxi Formation and Wufeng Formation have significantly higher TOC concentrations than the upper section of Longmaxi Formation. With the increase of burial depth, the silicate minerals increase gradually, while clay minerals decrease. (2) The on-site desorption gas content of shale shows that the gas content of the upper section of Longmaxi Formation with low TOC abundance is lower than the lower section of Longmaxi Formation and Wufeng Formation. In terms of shale gas composition, nitrogen dominates the upper section of Longmaxi Formation, whereas methane dominates the Wufeng Formation and lower section of Longmaxi Formation. (3) The isothermal curve of shale under low-pressure nitrogen is identical to IUPAC type IV, while the adsorption hysteresis loop is similar to types H3 and H4. The pores are mainly micro medium pores distributed below 50 nm, and they are flat and slit. The lower section of Longmaxi Formation and Wufeng Formation have significantly larger adsorption volumes than the upper section of Longmaxi Formation, and the abundance of organic matter provides a large amount of organic pore storage space. (4) The BET specific surface area and BJH total pore volume in the lower section of Longmaxi Formation and Wufeng Formation with rich organic matter are significantly larger than in the upper section of Longmaxi Formation with low organic matter, whereas the average pore size is significantly smaller. (5) Shale pores have obvious fractal characteristics, with D2 being higher than D1, indicating that the pore structure is more complicated than that of the pore surface. Fractal dimension has a significant positive correlation with TOC content, BET-specific surface area, and burial depth, a weak positive correlation with quartz content and BJH total pore volume, a significant negative correlation with clay mineral content and average pore diameter, and almost no correlation with porosity and permeability. Many factors that affect the fractal dimension. Correlation analysis reveals that the mass fraction of TOC and clay mineral, specific surface area, average pore diameter, and burial depth are the main controlling factors. The fractal dimension can be utilized to quantify the complexity and heterogeneity of pore structure, which provides a concept for studying the distribution characteristics of shale pore structure and reservoir evaluation.

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湖北荆门勘探区五峰组至龙马溪组深层页岩的微观孔隙结构及分形特征
为了探索荆门探区页岩油气藏的孔隙结构和分形特征,定量评价孔隙的非均质性和复杂性,以YT3井五峰龙马溪组为研究对象,通过低压氮吸附实验分析了页岩油气储层的孔隙结构特征,总有机碳(TOC)含量检测、X射线衍射分析等,并基于低温氮吸附分形几何方法建立了FHH分形模型。讨论了分形维数与页岩成分、孔隙结构、物性、含气性和埋藏深度的关系。结果表明:(1)龙马溪组和五峰组下段的TOC浓度明显高于龙马溪组上段。随着埋深的增加,硅酸盐矿物逐渐增多,粘土矿物逐渐减少。(2) 页岩现场解吸气体含量表明,低TOC丰度的龙马溪组上段的气体含量低于龙马溪和五峰组的下段。从页岩气组成来看,氮气在龙马溪组上段占主导地位,而甲烷在五峰组和龙马溪下段占主导地位。(3) 页岩在低压氮气下的等温曲线与IUPAC类型IV相同,而吸附磁滞回线与类型H3和H4相似。孔隙主要是分布在50nm以下的微介质孔隙,它们是平坦的、狭缝状的。龙马溪组下段和五峰组的吸附量明显大于龙马溪上段,有机质丰度提供了大量的有机孔隙储存空间。(4) 有机质富集的龙马溪组和五峰组下部的BET比表面积和BJH总孔体积明显大于有机质较低的龙马溪组上部,而平均孔径明显较小。(5) 页岩孔隙具有明显的分形特征,D2高于D1,表明孔隙结构比孔隙表面更复杂。分形维数与TOC含量、BET比表面积和埋深呈显著正相关,与石英含量和BJH总孔隙体积呈弱正相关,而与粘土矿物含量和平均孔径呈显著负相关,与孔隙度和渗透率几乎没有相关性。影响分形维数的许多因素。相关分析表明,TOC与粘土矿物的质量分数、比表面积、平均孔径和埋深是主要的控制因素。分形维数可以用来量化孔隙结构的复杂性和非均质性,为研究页岩孔隙结构的分布特征和储层评价提供了一个概念。
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