含硫气井生产动态预测方法研究

发布时间：2018-04-04 17:29

本文选题：含硫气藏　切入点：生产动态预测　出处：《中国地质大学(北京)》2015年硕士论文

【摘要】：我国含硫气藏资源丰富,对含硫气藏的开发已经成为获得天然气资源的重要途径之一。在气藏开发初期,通过对气井进行生产动态预测,可以得到生产数据随时间的变化关系,为制定合理的气藏开发方案、调整气井工作制度提供依据。含硫气藏在开发过程中存在硫沉积问题,而传统的动态预测方法没有考虑硫沉积的影响,不能准确的对含硫气藏进行预测,因此建立适合于含硫气藏的气井生产动态预测方法十分必要。本文首先对硫元素的溶解和沉积机理进行研究。在此基础上,建立了硫沉积预测模型和含硫气井产能方程,从力学角度研究了硫颗粒在储层中的运移规律,分析了硫沉积和运动条件。通过理论推导,分别从物质平衡和数值模拟两方面建立了气井生产动态预测方法,编写了相应软件,并做了实例应用。通过本文的研究,主要取得了以下成果:(1)通过对含硫气藏中硫元素存在方式的研究,明确了硫元素在含硫气藏中以物理溶解和物理沉积为主,得到了预测硫溶解度和含硫饱和度的定量计算方法。(2)推导了同时考虑硫沉积、启动压力梯度和非达西渗流条件的直井、直井压裂井、水平井的产能方程,得到了气井产能随含硫饱和度、裂缝宽度、水平段长度的变化规律。(3)通过对硫颗粒的受力分析,得到了硫颗粒在储层中运移的临界悬浮速度和临界冲刷速度计算公式。(4)运用物质平衡原理,建立了不同类型含硫气藏的物质平衡方程,结合含硫气井产能公式及井底压力计算公式,得到了含硫气井生产动态方法。(5)针对含硫气藏,分别建立了气相和气固两相渗流数学模型,通过数学模型的离散建立数值模型,给出了模型求解方法。(6)利用VB6.0开发了一套可以应用于含硫气藏的气井动态预测软件,并对软件的算法进行验证,取得较好的结果。对软件进行了实例应用,得到了某含硫气井的产气量、井底压力、地层平均压力等参数随生产时间的变化关系。
[Abstract]:There are abundant sulfur gas reservoirs in China, and the development of sulfur gas reservoirs has become one of the important ways to obtain natural gas resources.In the early stage of gas reservoir development, the relationship of production data with time can be obtained by predicting the production performance of gas wells, which provides the basis for formulating reasonable gas reservoir development plan and adjusting the working system of gas wells.Sulfur deposition exists in the development of sulfur-bearing gas reservoir, but the traditional dynamic prediction method does not consider the influence of sulfur deposition, so it can not accurately predict the sulfur-bearing gas reservoir.Therefore, it is necessary to establish a prediction method for production performance of gas wells suitable for sulfur gas reservoirs.In this paper, the mechanism of sulfur dissolution and deposition is studied.On this basis, the prediction model of sulfur deposition and productivity equation of sulfur-bearing gas wells are established, and the migration laws of sulfur particles in reservoirs are studied from the point of view of mechanics, and the conditions of sulfur deposition and movement are analyzed.Through theoretical derivation, the prediction method of gas well production performance is established from two aspects of material balance and numerical simulation, and the corresponding software is compiled, and an example is given.Through the research in this paper, the following results are obtained: 1) through the study of the existence mode of sulfur element in the sulfur-bearing gas reservoir, it is clear that the main sulfur element is physical dissolution and physical deposition in the sulfur-bearing gas reservoir.A quantitative calculation method for predicting sulfur solubility and sulfur saturation is obtained. The productivity equations of vertical wells, fracturing wells and horizontal wells with sulfur deposition, starting pressure gradient and non-Darcy percolation conditions are derived.The variation of gas well productivity with sulfur saturation, fracture width and horizontal section length is obtained.The formulas for calculating the critical suspension velocity and critical scour velocity of sulfur particles in the reservoir are obtained. Based on the principle of mass balance, the material balance equations of different types of sulfur-bearing gas reservoirs are established.Combined with the productivity formula and bottom hole pressure calculation formula of sulfur-bearing gas wells, the production performance method of sulfur-bearing gas wells is obtained. The mathematical models of gas-phase and gas-solid two-phase percolation flow are established respectively for sulfur-bearing gas reservoirs, and the numerical models are established through the discretization of mathematical models.The method of model solving is given. (1) A set of prediction software for gas well performance is developed by using VB6.0, and the algorithm of the software is verified and good results are obtained.The application of the software shows that the gas production, bottom hole pressure and average formation pressure of a sulfur-bearing gas well vary with production time.
【学位授予单位】：中国地质大学(北京)
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE331

【共引文献】