高分辨率和多材料裂缝产能计算器,用于成功设计通道压裂作业

D. Chuprakov, L. Belyakova, I. Glaznev, A. Peshcherenko
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引用次数: 1

摘要

我们开发了一种高分辨率的裂缝产能计算器,通过对材料放置的精细2D模拟,可以快速准确地评估水力裂缝。以通道压裂为例,我们展示了产能指数、有效裂缝导流能力和表皮因子对泵送计划设计和脉冲策略的变化是如何敏感的。我们使用先进的高分辨率多物理场模型进行压裂模拟,该模型包括耦合的二维流体力学与地质力学(伪3d或P3D模型),二维材料的传输与跟踪温度暴露历史,原位动力学,以及包含纤维影响的阻碍沉降模型。对于所有模拟压裂处理,我们准确地解决了三维平面裂缝闭合在固体非均质空间分布上的问题,估计了裂缝宽度和支撑剂应力的二维剖面,并因此获得了由于通道存在而具有高导电性细胞的复杂和非均质裂缝导电性形状。然后,我们还评估了储层流体从储层流入裂缝壁,并进一步沿着裂缝流入有限尺寸的井筒射孔。在最精细的尺度上解决产能问题,使我们能够准确地评估关键的产能特征:产能指数、尺寸和无尺寸有效导电性、表皮系数、增加倍数,以及在任何一天的总产量,以及在油井生产生命周期内的任何压力降。我们开发了一个工作流程,以了解裂缝的产能如何取决于泵送计划的变化,并有助于做出最佳作业设计的适当决策。本文介绍了新的高效计算方法如何能够快速、方便、准确地评估材料放置设计,从而通过节省成本的通道压裂技术实现最大产量。
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High-Resolution and Multimaterial Fracture Productivity Calculator for the Successful Design of Channel Fracturing Jobs
We developed a high-resolution fracture productivity calculator to enable fast and accurate evaluation of hydraulic fractures modeled using a fine-scale 2D simulation of material placement. Using an example of channel fracturing treatments, we show how the productivity index, effective fracture conductivity, and skin factor are sensitive to variations in pumping schedule design and pulsing strategy. We perform fracturing simulations using an advanced high-resolution multiphysics model that includes coupled 2D hydrodynamics with geomechanics (pseudo-3D, or P3D, model), 2D transport of materials with tracking temperature exposure history, in-situ kinetics, and a hindered settling model, which includes the effect of fibers. For all simulated fracturing treatments, we accurately solve a problem of 3D planar fracture closure on heterogenous spatial distribution of solids, estimate 2D profiles of fracture width and stresses applied to proppants, and, as a result, obtain the complex and heterogenous shape of fracture conductivity with highly conductive cells owing to the presence of channels. Then, we also evaluate reservoir fluid inflows from a reservoir to fracture walls and further along a fracture to limited-size wellbore perforations. Solution of a productivity problem at the finest scale allows us to accurately evaluate key productivity characteristics: productivity index, dimensional and dimensionless effective conductivity, skin factor, and folds of increase, as well as the total production rate at any day and for any pressure drawdown in a well during well production life. We develop a workflow to understand how productivity of a fracture depends on variation of the pumping schedule and facilitate taking appropriate decisions about the best job design. The presented workflow gives insight into how new computationally efficient methods can enable fast, convenient, and accurate evaluation of the material placement design for maximum production with cost-saving channel fracturing technology.
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