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Modeling Overburden Stress Change Due to Compaction of Stacked Reservoirs and Application of Model Results in 4D-Seismic and Infill Drilling

机译:由于堆叠储层压实和模型的应用,建模覆盖压力变化和4D​​地震填充钻探的应用

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A compacting reservoir remains physically connected to the rock surrounding it. Therefore, as the reservoir deforms and compacts, stresses will change and reorient themselves in the reservoir as well as in the overburden, underburden and sideburden, and there will be deformation in these rocks too. It is a well known and extensively described physiological phenomenon that stresses and strains induce changes in seismic velocity. Thus, reservoir deformation induces changes in velocity affecting the seismic wave throughout the basin. For certain combinations of velocity change and overburden thickness, vertical integration of the local traveltime changes may lead to timeshifts of several milliseconds, which can be measured in well-repeated seismic surveys. Timeshift technology has an interesting application in reservoir monitoring: Maps of timeshifts could indicate the areal distribution of reservoir compaction and thus reveal the areal distribution of depletion. Timeshift analysis then has the potential to help determine compartmentalization, locate bypassed oil in undrained compartments, identify new drilling targets and sidetracks, avoid expensive infill wells, and eventually decide when to abandon a field. Promising patterns of timeshifts of up to 15 milliseconds have already been observed in several fields. We simulated the geomechanical effects of the depletion of stacked oil-saturated reservoir sands. The calculated deformation and stress changes were used to calculate timeshifts as a function of production. Reasonable agreement was obtained between calculated and measured timeshifts. However, the fact that the measured timeshifts resulted from stress perturbation due to the combined effect of several stacked reservoirs complicates their interpretation: It requires a good (i.e. field-data-proven) static and dynamic model for all sands to correctly model their effect on the overall timeshift signal. Only then can the remaining difference between synthetic and field-observed timeshifts be used to monitor and interpret the production performance of a target "problem reservoir" within the stacked pay. Our models also suggest that stress changes in rocks overlying compacting reservoirs are complex and anisotropic, and dependent on proximity and structure of the relatively stiff formations. When these are present, the 3D-variation in stress state, and not the 1D-variation, should be used to compute and analyse timeshifts in 4D-seismic data.
机译:压实水库仍然物理连接到围绕它的岩石。因此,随着水库变形和压缩,应力将改变和重新定位在水库以及覆盖层,覆盖层,粘附和侧面,并且在这些岩石上也会变形。它是一种众所周知的和广泛描述的生理现象,其应力和菌株诱导地震速度的变化。因此,储层变形诱导影响整个盆地地震波的速度变化。对速度的变化和覆盖层厚度的某些组合,局部走时变化的垂直整合可能会导致几毫秒,它可以在良好的重复地震测量被测量的timeshifts。 Timeshift技术在储层监测中具有一个有趣的应用:Timeshift的地图可以表明储层压实的面积分布,从而揭示了耗尽的面积分布。然后,Timeshift分析有可能有助于确定划分的舱室化,在不统治室内定位的旁路油,识别新的钻井目标和侧面,避免昂贵的填充井,最终决定何时何时抛弃田地。在几个领域已经观察到最多15毫秒的时间的有希望的时间模式。我们模拟了堆积的油饱和水库砂耗的地质力学效应。计算出的变形和应力变化用于计算随着生产函数的时间段。在计算和测量的时间内获得合理的协议。然而,由于几个堆叠储存器的综合效果导致的测量时间表因压力扰动而使它们的解释变得复杂:它需要一个适用于所有沙子的良好(即现场数据证明)静态和动态模型,以正确模拟它们对其效果整体定时信号。然后,唯一可以使用合成和现场观察的时间段之间的剩余差异来监测和解释堆放工资中目标“问题库”的生产性能。我们的模型还建议覆盖压缩储层的岩石中的压力变化是复杂的和各向异性的,并且取决于相对僵硬的形成的接近和结构。当存在这些时,应使用应力状态的3D变化,而不是1D变化,用于计算和分析4D地震数据中的时间。

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