基于多矿物模型的复杂火山碎屑岩储层测井评价方法研究

发布时间：2018-06-09 13:57

本文选题：岩性识别 + 元素俘获测井(ECS)　；参考：《长江大学》2015年硕士论文

【摘要】：在勘探开发逐渐深入的情况下,人们渐渐开始关注隐蔽油气藏的勘探,火成岩复杂油气藏逐渐被重视,成为了主要的研究储层。经过40年的勘探开发松辽盆地北部深层气藏储层获得了日产百万方(无阻流量)高产工业气流,呈现出了良好的勘探开发前景。迄今为止,一般都是使用常规测井资料和实验资料,建立模型,编写程序处理储层,得出需要的储层参数,来评价油气含量。在计算过程中,没有把测井资料和实验资料完全地使用,在不同的储层中,对于解释模型和评价方法无法较灵活地使用,对于含有两种及两种以上矿物的复杂储层,无法正确地评价,这样严重地影响了对复杂储层的评价方法的研究。徐家围子地区火成岩地层十分复杂,岩性复杂多变,同种岩性的骨架参数也会有所变化,在储层骨架含量求取时可能会出现误差,常规测井评价方法对于复杂多变的火成岩储层则不适用。为了加快大庆深层火成岩气藏的勘探开发,形成的火成岩测井解释技术有可靠的理论基础、有一定深度广度且体系规范,就需要研究新的方法。本文首先对徐家围子地区火成岩测井响应特征进行总结,为岩性识别提供了基础。其次使用GR-PE、GR-TH交会图版对徐家围子地区火成岩进行岩性识别,效果较好,二者的符合率均达到80%。这两个图版可以清晰地将火成岩分为基性岩性区、中性岩性区、中性向酸性过渡岩性区、酸性岩性区这四个区块。然后充分利用了元素俘获测井(ECS)资料获得的地层元素含量,骨架的密度、中子孔隙度、俘获截面、光电吸收截面等的资料,按照CIPW标准矿物法分岩性把火成岩地层中的元素含量转换为了标准矿物含量,计算的骨架密度与岩心密度资料对比,精度为78%。本文分岩性通过斯伦贝谢公式推导出骨架参数,利用骨架模型计算出了地层中各矿物的测井参数。最后根据徐家围子地区的实际情况在QAPF分类法的基础上建立了中酸性火成岩的骨架模型：石英、碱性长石、斜长石、暗色矿物和孔隙度。并且利用已求得的矿物骨架参数值,以及密度、声波时差、视中子孔隙度、自然伽马、光电吸收截面五条测井曲线建立超定方程组求解出地层中骨架的矿物含量。通过对松辽盆地的两口井进行实际处理,计算出的孔隙度和岩心分析孔隙度对比,绝对误差0.15%,相对误差为1.73%,效果较好。
[Abstract]:With the gradual development of exploration and development, people begin to pay attention to the exploration of subtle reservoirs, and igneous rock complex reservoirs are gradually paid attention to and become the main research reservoirs. After 40 years of exploration and development of deep gas reservoirs in the northern part of Songliao Basin, a million square (unobstructed flow) high-yield industrial airflow has been obtained, showing a good prospect of exploration and development. Up to now, the conventional logging data and experimental data are generally used to establish models, write programs to process reservoirs, and obtain the required reservoir parameters to evaluate oil and gas content. In the course of calculation, logging data and experimental data are not used completely. In different reservoirs, it is impossible to use more flexibly for interpretation models and evaluation methods, and for complex reservoirs containing two or more kinds of minerals, It is difficult to evaluate correctly, which seriously affects the study of evaluation methods for complex reservoirs. The igneous strata in Xujiaweizi area are very complex, the lithology is complex and changeable, the skeleton parameters of the same lithology will also change, and errors may occur when calculating the skeleton content of the reservoir. Conventional logging evaluation methods are not suitable for complicated igneous reservoirs. In order to speed up the exploration and development of deep igneous gas reservoirs in Daqing, the igneous rock logging interpretation technology formed has a reliable theoretical basis, a certain depth and breadth, and a standardized system, so it is necessary to study new methods. In this paper, the response characteristics of igneous rock logging in Xujiaweizi area are summarized, which provides a basis for lithologic identification. Secondly, the lithologic identification of igneous rocks in Xujiaweizi area is carried out by GR-PEGR-TH rendezvous plate, and the result is good, and the coincidence rate of both is up to 80%. The igneous rocks can be clearly divided into four blocks: the basic lithologic zone, the neutral to acidic lithologic zone and the acidic lithologic zone. Then the data of element content, skeleton density, neutron porosity, capture cross section, photoelectric absorption cross section and so on obtained from element capture logging (ECS) data are fully utilized. According to CIPW standard mineral method the element content in igneous strata is converted to standard mineral content and the calculated skeleton density is compared with the core density data with an accuracy of 78. In this paper, the skeleton parameters are derived by Schlumberger formula and the logging parameters of each mineral in the formation are calculated by using the skeleton model. Finally, according to the actual situation of Xujiaweizi area, based on QAPF classification, the framework model of intermediate acid igneous rock is established: quartz, alkaline feldspar, plagioclase, dark mineral and porosity. Using the obtained values of mineral skeleton parameters, density, acoustic time difference, apparent neutron porosity, natural gamma, photoelectric absorption cross section five log curves are used to establish the overdetermined equations to solve the mineral content of the skeleton in the formation. Through the actual treatment of two wells in Songliao Basin, the calculated porosity and core analysis porosity contrast, absolute error of 0.15, relative error of 1.73, the effect is better.
【学位授予单位】：长江大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.13;P631.81

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