页岩气储层岩石物理参数研究

发布时间：2018-05-26 05:14

本文选题：龙马溪组页岩 + 储层评价　；参考：《西南石油大学》2015年硕士论文

【摘要】：页岩气的游离态与吸附态并存的赋存特征,“连续成藏”的聚集模式,区别于常规天然气储层的特征等决定了页岩气储层研究的特殊性。研究、认识页岩气层的岩石物理特征,探索科学的储层参数计算模型,是实现页岩气层高效评价的核心与关键,对页岩气储层“甜点”的预测、优选及页岩气资源的高效、规模化开发具有重要意义。本文在调研国内外已有研究成果的基础上,以川东南龙马溪组页岩为研究载体,理论分析与实验研究相结合,系统研究了页岩气层的声电放射性岩石物理参数特征及其与页岩矿物组分、有机碳含量(TOC)的关系,并探索了基于自然伽马能谱、声波时差电阻率的矿物组分和有机碳含量的计算评价模型。取得的主要成果及认识如下： (1)龙马溪组页岩以石英为主,其次是黏土矿物。黏土矿物则以伊利石为主,其次为绿泥石、伊/蒙混层。 (2)相对于平行于层理方向,垂直于层理方向的声波时差与石英含量、黏土矿物含量的相关性较好；声波时差与石英的相关性较黏土矿物好；随着频率的增大,声波时差与石英含量、黏土矿物含量的相关性变好。 (3)无论平行于层理还是垂直于层理,岩样的电阻率与石英含量、黏土矿物含量之间存在一定的相关性；相对于垂直于层理方向,平行于层理方向的电阻率与石英含量、黏土矿物含量的相关性较好；电阻率与石英的相关性较黏土矿物好。 (4)石英含量与铀、铀/钾的相关性较强,且呈负相关；与钍、钾、钍/钾有一定的负相关性。黏土含量与铀、钍、钾的相关性较强,且呈正相关；与铀/钾、钍/钾有一定的正相关性。 (5)TOC与Th、K、U/Th, U/K的相关性相对较好,且与Th、K呈负相关,与U/Th. U/K正相关。 (6)无论是平行于层理还是垂直于层理,TOC与电阻率的相关性较好,且呈负相关。 (7)综合声波时差、电阻率、自然伽马等指标,通过多元线性回归建立了龙马溪组页岩石英含量、黏土含量与TOC的计算模型。
[Abstract]:The particularity of shale gas reservoir research is determined by the coexistence of free state and adsorption state of shale gas, the accumulation pattern of "continuous reservoir formation" and the characteristics of shale gas reservoir, which are different from conventional natural gas reservoirs. It is the core and key to realize the high efficiency evaluation of shale gas reservoir to recognize the petrophysical characteristics of shale gas reservoir and to explore the scientific model of reservoir parameter calculation. The prediction, optimal selection and high efficiency of shale gas resource of shale gas reservoir are also discussed. Scale development is of great significance. In this paper, based on the existing research results at home and abroad, the shale of Longmaxi formation in southeast Sichuan is taken as the research carrier, and the theoretical analysis and experimental study are combined. The physical parameters of acoustoelectric radioactivity rock in shale gas reservoir and its relationship with shale mineral composition and organic carbon content are systematically studied, and based on the natural gamma spectrum, the relationship between rock physical parameters and organic carbon content in shale gas reservoir is systematically studied. Calculation and evaluation model of mineral composition and organic carbon content of acoustic time difference resistivity. The main achievements and understandings are as follows: The shale of Longmaxi formation is mainly quartz, followed by clay minerals. The clay minerals are mainly Illite, followed by chlorite and / or mixed layer. (2) the correlation between acoustic time difference perpendicular to stratification direction and quartz content is better than that of clay mineral content, and the correlation between acoustic time difference and quartz is better than that of clay mineral, and with the increase of frequency, the correlation between acoustic time difference and quartz is better than that of clay mineral. The correlation between acoustic moveout and quartz content and clay content is improved. Whether parallel to or perpendicular to the bedding, there is a certain correlation between the resistivity of rock samples and the content of quartz and clay, and the resistivity parallel to the direction of stratification and the content of quartz relative to the vertical direction of bedding. The correlation between resistivity and quartz is better than that of clay mineral. (4) the content of quartz has a strong correlation with uranium and uranium / potassium, and a negative correlation with thorium, potassium and thorium / potassium. The clay content was positively correlated with uranium, thorium and potassium, and positively correlated with uranium / potassium and thorium / potassium. The correlation between TOC and Thu / T / T, U / K is relatively good, and there is a negative correlation between TOC and Thu / T, but also with U / T. U / K is positively correlated. (6) the correlation between TOC and resistivity is good, and it is negative correlation between TOC and resistivity, whether parallel to bedding or perpendicular to bedding. The calculation model of shale quartz content, clay content and TOC of Longmaxi formation is established by multivariate linear regression.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.13

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