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Optimizing Horizontal Stimulation Design Utilizing Reservoir Characterizationfrom Decline Curve Analysis

机译:利用储层表征的优化水平刺激设计从曲线分析中分析

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Existing flow models aid in the identification of key variables, such as original hydrocarbons in place and the productivity index,from examining various flow regimes from production decline data. In addition, specialized plots and well configurationinformation can infer additional reservoir characterization such as system permeability and fracture half length. Reservoir systempermeability is crucial in designing multi-stage completions in order to prevent premature stage competition. Fracture half lengthdetermination provides a basis for designing lateral spacing.Determination of the duration of the linear flow period toggles performance prediction thus providing a performance model thatcan be coupled with economics to optimize number of stages in horizontal wells. This system permeability also allows fracturehalf length to be calculated during the linear flow period from the production data.Studies within various reservoirs have provided a methodology for analyzing and establishing infinite acting versus boundarydominated flow patterns including single phase gas, dissolved gas drive and retrograde condensate reservoirs.The application of this study is to demonstrate the work flow in characterizing reservoir and fracture parameters and utilize thisinformation to optimize economic recovery.
机译:现有的流动模型有助于识别键变量,例如原始碳氢化合物和生产力指数,从生产衰退数据中检查各种流动制度。此外,专用地块和良好的配置信息可以推断额外的储层表征,例如系统渗透率和裂缝半长。储层系统易甲型在设计多级完成时至关重要,以防止早产竞争。裂缝半长度为设计横向间隔提供基础。线性流动时段的持续时间切换性能预测,从而提供性能模型,即CAN与经济学耦合以优化水平孔中的阶段数量。该系统渗透性还允许在从生产数据的线性流动期间计算骨灰HALF长度。各种储存器内的定义已经提供了一种用于分析和建立无限作用的方法,而不是包括单相气体,溶解气体驱动和逆行冷凝物储存器。本研究的应用是展示在特征储层和骨折参数中的工作流程,并利用该信息来优化经济复苏。

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