产品展厅>>研发&服务>>辰工聚合物及化学驱射孔优化软件V1.0软件研制

本项目进行辰工聚合物及化学驱射孔优化软件V1.0开发。基于非牛顿流体复合油藏模型,实现聚合物及化学驱试井分析、射孔吸水规律计算、注聚压力分析、产能预测、射孔参数优化等核心功能,形成一套完整的聚合物及化学驱射孔优化技术工具,为油藏射孔方案设计、工艺优化提供科学、精准的技术支撑,提升油藏开发效益。

本项目包括以下技术内容:

完成聚合物及化学驱油藏渗流特征研究,明确径向复合油藏(波及区与未波及区)的流度、储能系数差异,建立非牛顿流体复合油藏模型。

通过理论分析,推导聚合物及化学驱射孔吸水规律的方程及科学求解方法,简化复杂渗流方程,实现解析方法在试井分析中的应用。

开发软件核心功能模块,包括注聚压力计算、压力及导数双对数图绘制、油气井产能计算、射孔参数影响分析等。

实现聚合物及化学驱射孔产率比、产量和表皮系数的精准预测,为射孔参数优化提供数据支撑。

本项目深度融合油藏地质、化学驱流体特性与射孔工程参数,实现精准化、定量化、智能化射孔方案设计,有效解决传统经验设计适配性差、注入效果低、成本偏高的行业痛点,是油田数字化、智能化转型的必备工具,市场需求刚性且增长稳定。软件可广泛服务于油田企业、科研院所及高等院校,既能为现场射孔方案优化提供支撑,也可为聚合物及化学驱相关科研工作提供专用工具,技术差异化明显,竞争力突出,具备良好的推广价值与长期市场潜力。

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.