Analysis of gas production from hydraulically fractured wells in the Haynesville Shale using scaling methods

Frank Male , Akand W. Islam , Tad W. Patzek , Svetlana Ikonnikova , John Browning , Michael P. Marder
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引用次数: 30

Abstract

The Haynesville Shale is one of the largest unconventional gas plays in the US. It is also one of the deepest, with wells reaching more than 10,000 ft below ground. This uncommon depth and overpressure lead to initial gas pressures of up to 12,000 psi. The reservoir temperature is also high, up to 300 °F. These pressures are uniquely high among shale gas reservoirs, and require special attention when modeling. We show that the method developed by Patzek et al. (2013) scales cumulative gas production histories of individual wells such that they all collapse onto one universal curve. Haynesville wells can take months or years for flowing tubing pressure to stabilize, so we modified the universal curve to take this delay into account. We have written a custom Pressure–Volume–Temperature (PVT) solver to calculate gas properties at the high reservoir pressure and temperature. When we apply the Patzek et al. scaling theory to 2199 individual wells in the Haynesville, we find 1546 wells have entered exponential decline due to pressure interference. We use a simple physical model to determine the time to interference, for wells with geologic parameters typical of the Haynesville, and use this time to interference to determine a field-wide stimulated permeability. Using this permeability, we arrive at an estimate of the times to interference for the remainder of Haynesville wells, and obtain production forecasts for all individual wells.

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基于尺度法的Haynesville页岩水力压裂井产气量分析
海恩斯维尔页岩是美国最大的非常规天然气产区之一。它也是最深的油井之一,井深达地下10,000英尺以上。这种不寻常的深度和超压导致初始气体压力高达12,000 psi。储层温度也很高,高达300°F。这些压力在页岩气藏中是独一无二的高,在建模时需要特别注意。我们展示了Patzek等人(2013)开发的方法对单井的累积产气量历史进行了缩放,使它们都可以折叠到一条通用曲线上。Haynesville井可能需要数月或数年的时间来稳定油管压力,因此我们修改了通用曲线,以考虑到这一延迟。我们编写了一个自定义的压力-体积-温度(PVT)求解器来计算高储层压力和温度下的气体性质。当我们将Patzek等人的结垢理论应用于Haynesville的2199口单井时,我们发现1546口井由于压力干扰而呈指数下降。对于具有Haynesville典型地质参数的井,我们使用一个简单的物理模型来确定干扰时间,并使用该时间来确定全油田的增产渗透率。利用该渗透率,我们估计了Haynesville剩余井的干扰时间,并获得了所有单井的产量预测。
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