产品展厅>>研发&服务>>辰工注水射孔优化软件V1.0软件研制

项目主要开展辰工注水井射孔优化软件 V1.0的研制与开发工作。通过研究不同射孔方式对井筒内注入流体(水)的压降变化规律及其对地层压力的影响,重点实现吸水指数曲线的精准计算。项目以射孔实验与注水井现场实测压力数据为基础,深入分析注水井射孔渗流物理机制,建立并求解相应的数学模型与控制方程;依托高性能计算技术,实现注水井吸水指数高效计算、吸水能力评价及射孔参数优化,为注水井高效注水开发提供软件支撑。

射孔是油气井完井的重要方式,由于孔眼布局的几何空间的复杂性,使砂岩油藏射孔完井吸水能力的确定比常规裸眼井的吸水能力确定要复杂得多,同时聚合物注入时的射孔流体又是非牛顿流体。具体技术内容如下:

注入井射孔井筒、孔眼及地层物理数学模型建立。

注入井射孔方程的求解研究:注水井中最重要的参数是吸水指数,注聚合物时,由于聚合物是非牛顿流体,聚合物性质、浓度都对吸水指数产生影响,进行注入井射孔方程的求解。

注入井射孔计算程序计算。

射孔参数对注入井吸水指数影响及射孔优化。

当前国内多数油田仍存在射孔方案不合理、注水效率偏低等问题,传统物理模拟实验局限性大,难以满足精细化射孔优化需求。本项目采用数值模拟与现场实测数据深度融合的技术路线,精准解决射孔优化缺乏可靠依据的问题,市场需求迫切。 项目软件可广泛适用于常规注水、聚合物驱、化学驱等多种开发方式,覆盖陆上及海上各类油田,推广应用空间巨大。与同类产品相比,本项目计算模型更精准,高性能计算更高效,工程实用性更强,技术壁垒高、竞争力突出,能够快速形成市场优势,并推动射孔优化设计行业整体技术升级。

Products>>Project Development>>Establishment of wellhead pressure drop model for multi-stage volume fracturing and single-stage fracturing

Shale oil is a tight reservoir and has low conventional fracturing production, it is difficult to achieve efficient development. As a new technology, multi-stage multi-cluster fracturing engineering technology has become an important measure to increase production of shale oil and low permeability reservoirs, and is an important means to realize the economic development of shale oil. Multi-stage multi-cluster fracturing has large scale and costs, so it is important to evaluate and analyze the effect. Well testing technology is an important means to determine the fracture half length, fracture conductivity, formation permeability, formation pressure and so on. It has been widely applied for its low cost and simple process.

There are many researches on conventional fracturing well test technology at home and abroad, and the well test method is relatively perfect, but the research on large volume staged fracturing well test technology in shale reservoir is still in the initial stage, the understanding of seepage characteristics is not deep enough, and the mature interpretation method has not been formed. Research and development of well test evaluation technology for fracturing effect, determination of fracture half length, fracture conductivity, formation permeability and formation pressure in the reconstruction area become important problems to be solved for fracturing design optimization and efficient development.

Aiming at the multi-stage fracturing technology of horizontal wells in the development process of shale reservoir, the wellhead pressure drop model of multi-stage volume fracturing and single-stage fracturing is established. The main technical contents include:

Study on the establishment of physical model and mathematical model of single-stage fracturing evaluation, study on the theoretical method, study on the solution method of mathematical model, and establish the pressure response characteristic curve.

By analyzing the influencing factors of pressure response characteristics, the main controlling factors of pressure curve shape characteristics were identified, and the analysis chart was established.

Research on conversion method of wellhead-bottomhole pressure, calculation method of wellbore vertical pipe flow under variable flow rate, variable density and variable viscosity; mathematical solution of complex vertical pipe flow equation; research on elimination method of pressure data fluctuation caused by water hammer based on filtering theory.

The influence of wellhead pressure accuracy and stop pump time on the corresponding characteristics of the model is analyzed.

Study on inversion of measured data and formation parameters method.

Based on the analysis and study of the construction data during fracturing, this project puts forward the well test analysis method of pump stop pressure drop, and forms the corresponding calculation module, so as to determine the fracture half length, fracture conductivity, formation permeability of reconstruction area and formation pressure of the fracturing well, and provides technical support for the fracturing effect evaluation in the process of shale oil volume fracturing development . This project not only provides a means of fracturing effect evaluation, but also provides a new method of using fracturing data to carry out formation evaluation, which has important application value. Moreover, there is no need to increase the test cost for this kind of data analysis, and it has immediate, accurate and low-cost technical and economic advantages.