威远—长宁构造页岩气储层测井精细评价

发布时间：2018-01-15 04:04

本文关键词：威远—长宁构造页岩气储层测井精细评价　出处：《西南石油大学》2017年硕士论文　论文类型：学位论文

【摘要】：页岩气现已成为全球非常规天然气勘探开发的热点,其赋存于泥页岩层,存在于几乎所有盆地中。由于页岩气藏在储层特征、气藏特征及成藏机制方面均不同于常规油气藏,不同页岩的孔隙度、矿物组分及埋深等参数存在较大的差异,工业开采价值也不尽相同,且国内页岩气测井评价技术相对薄弱,因而建立一套针对页岩气储层的测井精细评价方法并开展页岩气有利区预测很有必要。为此,本文以四川盆地威远—长宁构造龙马溪组—筇竹寺组页岩气储层为例,结合地质、测井及岩心实验等资料,开展了如下工作并取得了以下认识:(1)收集整理工区常规及特殊测井资料,研究页岩气储层测井响应特征及响应机理,总结不同的测井项目在地质、工程方面的应用,并根据页岩气勘探开发不同阶段的实际需要,针对不同的井眼类型开展测井系列优化选择工作。(2)深入剖析划分识别页岩气储层多种方法的原理及适用性,评价各方法的划分识别精度,最终优选出常规测井资料组合法结合体积密度TOC指示法作为研究工区页岩气储层的划分识别方法,并建立起识别划分标准,可为精确划分识别页岩气储层提供重要依据。(3)形成了页岩气储层"五性"指标评价方法:建立富有机质页岩"六元"岩石体积模型,并利用多矿物最优化法和多元回归法计算地层矿物组分;建立计算物性参数的理论模型和岩心数据拟合模型;建立如密度法、铀曲线法、多元回归法及干酪根法等多个总有机碳含量的计算模型,结合岩心资料对比各方法的计算精度并开展适用性评价;采用修正的兰格缪尔方程计算吸附气含量并讨论游离气含量的计算方法;利用弹性参数法和矿物组分法评价了页岩脆性指数,考虑到两种方法的局限性,结合岩心X射线衍射分析结果,建立了计算页岩脆性指数的新方法——改进的矿物组分法。(4)根据国外页岩气开采经验,结合研究工区地质及储层条件,确定页岩气选区评价因素标准,以层次分析法为理论基础确定各评价指标权重。基于VB6.0可视化语言,利用模糊数学方法编制了页岩气有利区预测程序,应用于威远—长宁地区页岩气区块取得了较好的效果。在以上研究的基础上,论文对研究工区实际井开展了测井评价工作,并将该套测井评价方法应用于渝东南地区龙马溪组—五峰组实际井,结果进一步验证了论文所建立的测井评价方法在不同的工区具有一定推广性。最终,形成了一套适用于研究工区页岩气储层的行之有效的测井精细评价方法和较为合理的标准,可为工区后续的勘探开发提供一定帮助。
[Abstract]:Shale gas has become the focus of global unconventional natural gas exploration and development, its occurrence in the mud shale, exist in almost all basin. Due to the reservoir characteristics of shale gas reservoir, reservoir forming mechanism and characteristics of gas reservoirs are different from conventional oil and gas reservoirs, different shale porosity, different mineral group and the depth of mining industry value parameters are not the same, and evaluation of domestic shale gas logging technology is relatively weak, thus establishing a set for shale gas reservoir fine logging evaluation method and carry out shale gas favorable area prediction is necessary. Therefore, this paper takes the Sichuan basin of Weiyuan Changning tectonic longmaxiformation - Qiongzhusi shale gas reservoir as an example, combining with the geological data, well logging and core experiments, the following work has been carried out and achieved the following understanding: (1) collecting area of conventional and special logging data, the research of shale gas reservoirs The logging response characteristics and response mechanism, summarizes the different logging projects in geological, engineering applications, and according to the actual needs of the different stages of the exploration and development of shale gas, according to the log series to select and optimize different hole types. (2) to carry out in-depth analysis of the principle of division of identification of shale gas reservoirs and the applicability of various methods. Classification recognition accuracy evaluation method, the final optimization of conventional combination logging method combined with the volume density of TOC indicator method as the division recognition method research area of shale gas reservoirs, and establishes the classification standard of recognition, and can provide an important basis for accurate classification recognition of shale gas reservoirs. (3) the formation of shale gas reservoir five "evaluation method: the establishment of organic rich shale" six yuan "rock volume model, and calculate the formation of mineral components using multi mineral optimization method and multiple regression method; establish the calculation of physical parameters The theoretical model and core data fitting model; building density method, uranium curve method, the calculation model of multiple regression method and kerogen multiple total organic carbon content, combined with the precision comparison of various methods of core data and carry out the applicability evaluation; using Langmuir equation to calculate the adsorption gas content and discuss the calculation method of free gas content; using elastic parameters and mineral component method to evaluate shale brittleness index, taking into account the limitations of the two methods, combined with the results of the analysis of core X ray diffraction was established for calculating the shale brittleness index: a new way of improving the mineral component method. (4) according to the shale gas mining experience, combined with the study on the geological and reservoir conditions, determine the factors of evaluation standard of shale gas, using the AHP to determine the weight of each evaluation index as the theoretical basis. Based on the VB6.0 language, the use of fuzzy numbers The favorable areas of shale gas prediction program preparation methodology and application has achieved good results in the Weiyuan Changning area of shale gas blocks. Based on the above research, the paper carried out the work of the study area, the actual logging evaluation wells, and the set of logging evaluation method was applied to the southeast of Chongqing longmaxiformation - five peak group the actual wells. The results further verify the logging evaluation method established in this paper can be generalized in different area. Finally, formed a set of suitable for the study area of shale gas reservoir and effective fine logging evaluation method and reasonable criteria, can provide some help for the exploration and development area in the future.

【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P618.13;P631.81

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