产品展厅>>研发&服务>>大安106H井和大安6H井压力动态监测与解释技术服务

对大安106H井和大安6H井强化龙马溪组与五峰组页岩气储层地质和工程参数的差异性分析,研究其对体积压裂的影响,从而根据井筒地质工程的差异针对性优化设计和实施调整,确保最优的体积压裂效果。使用高频压力计监测井口压力进行压后闷井、人造气藏生产动态分析研究,实现精细控压生产。

在施工井口安装一支高频率、高精度压力计监测压裂中的压力。

提供每段压裂期间地居裂缝开启位置和地层透率数值。

根据压裂监测分析评价暂堵转向、桥寒坐封效果。

提供水平井多段压裂形成的全井 SRV区域。

提供压后焖井期间裂缝闭合情况,提出合理返排时机建议。

压裂施工作为非常规油气开采的核心技术,对提高油气产量至关重要。高频压力监测与实时分析技术能够有效提升压裂施工的安全性和效率,保障油气资源的稳定供应,因此在能源市场需求增长的背景下,具有广阔的市场应用前景。与斯伦贝谢等国外技术相比,我公司自主研发计算平台和设备,拥有核心源代码,以计算结果为依据,用数据进行决策,通过大数据分析实现优化,使得该技术在油气开采企业中具有较强的吸引力。

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.