项目名称: 基于目标的多层疏松砂岩气藏动态储量评价方法研究-以涩北气田为例
项目编号: No.51204148
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 冶金与矿业学科
项目作者: 罗万静
作者单位: 中国地质大学(北京)
项目金额: 25万元
中文摘要: 砂岩疏松引起的井间干扰、多层合采导致的层间干扰、气井出砂、岩石压力敏感、气井出水使得单层压力和产量动态变化,这增大了动态储量评价的难度。传统的基于单层渗流模型、静压力数据、复杂多参数输入、拟稳态渗流条件的动态储量评价方法不能满足此类气藏开发的需要。选取涩北气田岩石露头,测定物性参数,建立基础数据库;通过随机函数选取岩样组合开展单井两层和三层气藏非均质物理模拟,采用序贯高斯算法建立多井、多层(4-9层)、多个实现的随机地质模型和数值模拟研究;记录单层和合层的产量和压力变化数据。由于影响气井产量的因素多而相互关联,无法单独"剥离",且单个因素与储量之间没有明显相关性,项目提出基于目标的解决理念,不关注单个因素对储量的影响程度,而将研究重点放在与这些影响因素都关联的目标参数-产气量。通过大量的数据观察、分析,拟采用数学方法描述产量变化规律,建立一种新的疏松砂岩气藏动态储量计算方法。
中文关键词: 多层疏松砂岩气藏;动态储量评价;生产动态;物理模拟;数值模拟
英文摘要: Due to the influence of wells interference and sand caused by unconsolidated sandstone ,water influx, pressure-sensitive rock and layers interference caused by commingling, the pressure and output of single layer is changing with production, which increases the difficulty of the dynamic reserves evaluation. Traditional dynamic reserves evaluation model based on single-layer flow, static pressure data, the complex multi-parameter input and the pseudo-steady state flow conditions can not meet the needs of unconsolidated sandstone gas reservoir development. The rock physical parameter database can be established with Sebei gas field rock outcrop rock samples. The samples combination of two and three layers for single-well reservoir physical analog can be selected through the random function. The sequential Gaussian algorithm can be used to set up the random geological model with multiple implementations of multiwell and multilayer (4-9 layers).we can record pressure and output data of physical analog and numerical simulation. There are a lot of interrelated production influencing factors which can not be "stripping" . The project put forward the goal-based ideal which focused on the parameters associated with these influencing factors - namely gas well production ,instead of concerning the single influencing f
英文关键词: Multilayer unconsolidated sandstone gas reservoir;Dynamic reserves evaluation;Production performance;Physical simulation;Numerical simulation