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Well spacing design for low and ultra-low permeability reservoirs developed by hydraulic fracturing

机译:水力压裂开发的低,超低渗透油藏的井距设计

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In order to simulate non-Darcy flows in low and ultra-low permeability reservoirs, based on the black oil simulator, a three-dimensional, two-phase model was established considering two-phase start-up pressure, permeability sensibility and fracture conductivity decline. Then numerous simulations were run to analyze the elliptic drainage area induced by a fractured well, the results show that: for water fractured well, permeability is the dominant factor affecting the elliptic drainage area at the beginning, and pressure difference and start-up pressure have increasing effects as time goes by. However, no factor has a marked impact on the shape of elliptic drainage area. Parameters of elliptic drainage area can be calculated with GA-BP neural network improved by genetic algorithm. Aiming at acquiring maximum sweep efficiency, well spacing equations were deduced for rectangular pattern and diamond inverted nine-spot pattern. Field application demonstrated daily oil production enhanced 1.25 times after hydraulic fracturing, and the long time stimulation effect is substantial.
机译:为了模拟低渗透率和超低渗透率油藏的非达西渗流,在黑油模拟机的基础上,建立了考虑两相启动压力,渗透率敏感性和裂缝导流率下降的三维两相模型。 。然后进行了大量的模拟分析,对压裂井诱发的椭圆形排水区域进行分析,结果表明:对于水压裂井,渗透率是影响椭圆形排水区域开始的主要因素,压差和启动压力具有随着时间的流逝,效果会越来越强。但是,没有任何因素对椭圆形引流区的形状有显着影响。利用遗传算法改进的GA-BP神经网络可以计算出椭圆形流域的参数。为了获得最大的波及效率,推导了矩形波型和菱形倒九点波型的井距方程。现场应用表明,水力压裂后,每日采油量提高了1.25倍,且长时间的增产效果显着。

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