鄂尔多斯盆地中南部延长组页岩气关键参数测井研究

发布时间：2018-01-08 14:23

本文关键词：鄂尔多斯盆地中南部延长组页岩气关键参数测井研究　出处：《西北大学》2015年博士论文　论文类型：学位论文

【摘要】：鄂尔多斯盆地中南部延长组具有丰富的页岩气资源,但与国内外页岩气及常规天然气相比,页岩气地质特征及其测井响应特征均具有明显的特殊性。由于岩心分析资料具有一定的局限性,且页岩气层的岩性和矿物成分复杂、物性较差,页岩气关键参数测井研究在测井系列的优选和测井解释方法的适用性等方面还面临着许多难题。本文通过分析岩心测试资料及其测井响应特征,结合元素俘获谱测井和核磁共振测井的解释成果,系统研究页岩气地质特征及其测井响应特征,建立黏土矿物含量、有机碳含量、成熟度、孔隙度和含气量等关键参数的测井解释模型,为页岩气测井评价提供理论依据。页岩有机碳含量较高,有机质类型合适,成熟度适中；页岩矿物类型以黏土矿物和石英、长石矿物为主,孔隙类型以粒间孔、晶间孔和溶孔为主,孔隙结构复杂,储层致密,页岩含气量以吸附气含量为主,游离气含量较少。利用归一化的密度与中子差值法、自然伽马相对值法分别建立泥质含量解释模型,其计算结果与X衍射全岩分析结果、元素俘获谱测井(ECS)解释结果一致。进而根据X衍射全岩分析结果标定测井信息,建立岩石多矿物解释模型,定量预测页岩矿物含量。通过分析页岩有机碳含量及其铀、自然伽马、声波时差、密度、中子和电阻率等测井响应特征,优选敏感参数自然伽马相对值、声波时差与有机碳含量进行多元线性回归分析,建立有机碳含量解释模型,相关系数可达到0.8以上。根据中子与密度重叠图反映镜质体反射率,根据△LgR与TOC交会图确定热变指数,共同反映有机质成熟度。利用声波时差、密度、中子和自然伽马相对值与孔隙度进行多元线性回归分析,建立孔隙度解释模型,相关系数可达到0.8以上。剔除裂缝样品的渗透率值,利用加权平均渗透率与层点分析孔隙度建立渗透率解释模型,相关系数可达到0.6以上。根据解吸实验、等温吸附实验、岩电实验及测井分析等方法,建立页岩含气量解释模型,估算页岩总含气量、吸附气含量和游离气含量。其中,有机碳含量对吸附气含量的影响较大,根据有机碳含量分析法建立的吸附气含量解释模型精度相关系数在0.8以上；而游离气含量与孔隙度密切相关,基于岩电实验及测井分析法建立的游离气含量解释模型精度较高,且根据上述两种方法计算的吸附气含量、游离气含量和总含气量与ELAN测井解释结果一致。
[Abstract]:Yanchang group in central and southern Erdos basin with shale gas resources are rich, but compared with the domestic and foreign shale gas and conventional natural gas, which has obvious particularity in response to the geological characteristics of gas shale and logging. Because the data of core analysis has certain limitations, and the lithology and mineral composition of shale gas complex, poor physical property, study on the key parameters of shale gas well logging and well logging interpretation method in optimization of log series applicability is facing many problems. In this paper, through the analysis of the response characteristics of core test data and logging, combined with elemental capture spectroscopy logging and NMR logging interpretation results, the system of shale gas geological characteristics and logging response characteristics, the establishment of clay minerals the content of organic carbon content, maturity, log interpretation model of key parameters such as porosity and gas content, provide the theory for shale gas logging evaluation On the basis of shale. The high organic carbon content, organic matter type, moderate maturity; types of shale mineral clay minerals and quartz, feldspar minerals, pore types are mainly intergranular pore, intergranular pore is the main pore Herong, complex pore structure, reservoir porosity, shale gas content in adsorption gas content, less free gas content. By using the normalized difference method and neutron density, natural gamma values interpretation model of clay content were established, and the result of calculation of whole rock X diffraction analysis, elemental capture spectroscopy (ECS) to explain the results. Then according to the analysis results of X diffraction calibration logging information of whole rock, a rock mineral interpretation model prediction of shale mineral content, quantitative. Through the analysis of the content of organic carbon and uranium, natural gamma shale, sonic, density, neutron and resistivity logging response characteristics, optimization of sensitive parameters of natural gamma Value of acoustic and organic carbon content in multivariate linear regression analysis, the establishment of organic carbon content interpretation model, the correlation coefficient can reach more than 0.8. According to the neutron density overlapping maps reflect the vitrinite reflectance, according to the LgR value and TOC crossplot to determine the thermal alteration index, reflect the maturity of organic matter. Using acoustic logging, density. The neutron and gamma ray relative value of multivariate linear regression analysis is established and the porosity, porosity interpretation model, the correlation coefficient can reach more than 0.8. Excluding the fracture samples using the weighted average value of permeability, permeability and porosity permeability layer analysis established interpretation model, the correlation coefficient can reach more than 0.6. According to the desorption experiment, isothermal adsorption experiment, electrical experiment and logging analysis, the establishment of shale gas content interpretation model, estimate the total shale gas, adsorbed gas and free gas content. Among them, organic carbon Effect of content on adsorption gas content is large, according to the interpretation of the accuracy of the model with correlation coefficients above 0.8 organic carbon content analysis of adsorbed gas content was established; and the free gas content and porosity is closely related to the content of free gas in the electricity experiment and logging analysis method to establish the interpretation model based on high precision, and the adsorbed gas content according to the above two a method for the calculation of the free gas content and total gas content and ELAN logging interpretation results.

【学位授予单位】：西北大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：P618.13;P631.81

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