一种解释井间干扰试井并量化产量影响程度的新方法：理论与多盆地案例研究
A new method for interpreting well-to-well interference tests and quantifying the magnitude of production impact: Theory and applications in a multi-basin case study
AI总结：
本文提出一种基于初始干扰响应拟合一维扩散方程的新方法，用于解释井间干扰试井并量化产量干扰程度（DPI），通过推导线性流动几何下的无量纲干扰长度，实现多盆地案例的准确预测。
摘要：
干扰试井用于页岩储层中评估井间连通性的强度。其结果可为井距的工程决策提供信息。在本文中，我们提出了一种解释干扰试井的新流程。我们将初始干扰响应与偏移观测点处的一维扩散方程解进行拟合。使用初始干扰响应而非随后的趋势是有利的，因为它受非线性、时变边界条件以及流动几何和流态不确定性的影响较小。通过曲线拟合，我们估算了连接井的裂缝的水力扩散系数和传导率。出于工程目的，量化干扰对油井产量的影响将是有用的。因此，我们寻求产量干扰程度（DPI）与可从裂缝传导率估计中得出的适当无量纲量之间的关系。利用在广泛条件下进行的模拟，我们发现经典的无量纲裂缝传导率定义无法实现DPI的一致预测。这是因为无量纲裂缝传导率是假设径向流动几何推导的，而页岩生产期间的主要流动几何是线性的。我们还发现CPG（Chow压力组）指标无法产生一致准确的DPI预测。作为替代，我们推导了一个类似于经典无量纲裂缝传导率但针对线性流动几何推导的无量纲量。使用这种方法，我们计算了一个无量纲干扰长度，将所有情况归结为一条单一曲线，该曲线预测DPI作为裂缝传导率、井距和地层性质的函数。最后，我们将新方法应用于阿纳达科和特拉华盆地的现场案例。
英文摘要：
Interference tests are used in shale reservoirs to evaluate the strength of connectivity between wells. The results inform engineering decisions about well spacing. In this paper, we propose a new procedure for interpreting interference tests. We fit the initial interference response with the solution to the 1D diffusivity equation at an offset observation point. It is advantageous to use the initial interference response, rather than the subsequent trend, because it is less affected by nonlinearities, time-varying boundary conditions, and uncertainties about flow geometry and regime. From the curve fit, we estimate the hydraulic diffusivity and conductivity of the fractures connecting the wells. For engineering purposes, it would be useful to quantify the impact of interference on well production. Thus, we seek a relationship between the degree of production interference (DPI) and an appropriate dimensionless quantity that can be derived from the estimate of fracture conductivity. Using simulations run under a wide range of conditions, we find that the classical definition for dimensionless fracture conductivity does not achieve a consistent prediction of DPI. This occurs because the dimensionless fracture conductivity is derived assuming radial flow geometry, but the dominant flow geometry during shale production is linear. We also find that the CPG (Chow Pressure Group) metric does not yield consistently accurate predictions of DPI. As an alternative, we derive a dimensionless quantity similar to the classical dimensionless fracture conductivity, but derived for linear, flow geometry. Using this approach, we calculate a dimensionless interference length that collapses all cases onto a single curve that predicts DPI as a function of fracture conductivity, well spacing, and formation properties. We conclude by applying the new method to field cases from the Anadarko and Delaware Basins.
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