最先进的压裂优化技术减少了非常规气/凝析井的水堵塞

M. Ibrahim, M. Sinkey, T. Johnston
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摘要

水力压裂是提高凝析气藏产能的最有效技术。压裂过程中使用的水产生了生产所需的导电性,然而,它也会在气体流动的路径上造成水堵塞。凝析气藏的压力和流量动态与溶液气驱气藏有明显不同。产量不仅受压力梯度的影响,而且是井底流动压力实际值的复杂函数。最初,返排过程中所需的额外压力需要用于生产压裂过程中使用的水。将这些水提升到地面的油藏能量需要在井筒周围产生更大的压降。此外,压裂作业中不必要的用水会增加井筒附近的压降。压降的增加导致地层更快到达露点,并且在裂缝系统中开始形成凝析油库。增加的凝析油在储层中留下了宝贵的液态烃。由于需要高压降,水堵塞会降低油井产能,并加速凝析油的破坏。在压裂过程中,实时应用了创新的模式识别和机器学习技术,以增加裂缝复杂性,提高裂缝导流能力,增加扩散表面积,提高压裂段产能指数。该技术的重点是创造每体积注入水的最大压裂面积,从而实现相同的裂缝面积,但注入水量大幅减少。水的减少通过减少井筒周围的水堵塞,从而提高了井的产能指数。与传统的压裂设计相比,增加压裂水单位体积的裂缝表面积可以提高凝析油产量,同时减少压降,从而对压裂井的压裂后产能产生积极影响。此外,使用最佳水量降低了压裂作业成本和返流处理成本,从而显著提高了井净现值(NPV)。现场实例将介绍凝析油性能。采用结合岩石和储层流体性质的实时裂缝优化技术,可以获得更好的油井性能。增加凝析油产量带来的生产效益不会导致储量因凝析油堵塞而流失。额外的ESG优势减少了多余的用水量、泵送时间和水处理成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State of Art Fracturing Optimization Reduces Water Blockage in Unconventional Gas/Condensate Wells
Hydraulic fracturing (fracing) is the most effective technique for improving the productivity of gas condensate reservoirs. The water used during fracing creates the conductivity needed for production, however, it will also create water blockage in the path of gas flow. The pressure and flow rate behavior of a gas condensate reservoir is distinctly different from the behavior of a solution gas drive reservoir. The producing rate is not only affected by the pressure gradient but is also a more complex function of the actual value of the flowing bottomhole pressure. Initially, the additional pressure required during flowback is needed to produce the water used during fracturing. The reservoir energy to lift this water to the surface requires more pressure drop around the wellbore. Additionally, unnecessary water used during fracing operations incrementally increases the pressure drop near the wellbore. Increased pressure drop leads the formation to reach the dew point sooner and condensate banking start to build in the fracture system. Increased condensate banking leaves valuable liquid hydrocarbon in the reservoir. Water blockages reduce well productivity and speed up the condensate damage due to the high-pressure drop required. An innovative pattern recognition and machine learning technology was applied in real-time during fracture treatment to increase fracture complexity, improve fracture conductivity, increase diffusion surface area, and improve stage productivity index. This technology focuses on creating the most stimulated fracture surface area per volume of water injected, resulting in the same fracture surface area but with a large reduction in water injected. The reduction of the water leads to an improved well productivity index by minimizing water blockage around the wellbore. Increasing fracture surface area per volume of frac water injected has a positive impact on the post-frac productivity of treated wells by increasing condensate production rates with less drawdown compared with traditional frac designs. In addition, using the optimum water volume has reduced the cost of fracturing operations and the cost of water flow back disposal leading to significant increases in well Net Present Value (NPV). A field case will be presented with condensate performance. The use of real-time fracture optimization technology with the integration of rock and reservoir fluid properties leads to better well performance. Production benefits of increased condensate production result in no reserves being lost-in-place to condensate blockage. Added ESG benefits are reduced superfluous water use, pump time, and water disposal costs.
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