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首页> 外文会议>SPE Liquids-Rich Basins Conference - North America >Production Data Analysis of Fractured Horizontal Well with ConsideringComplex Fracture Networks: A Case Study
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Production Data Analysis of Fractured Horizontal Well with ConsideringComplex Fracture Networks: A Case Study

机译：考虑折断骨折网络的裂缝水平井的生产数据分析 - 以案例研究

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The importance of evaluating and predicting the performance of producers cannot be emphasized toomuch, and their production performances can directly determine the economic feasibilities. What's more,production data analysis (PDA) can also be used to evaluate the geological information and give us goodguidelines to develop the reservoirs. To comprehensively understand the performance of a multiple fracturedhorizontal well (MFHW) with complex fracture networks, a semi-analytical model for PDA are establishedto for Junggar Basin shale oil reservoir, based on the previous work (Tang et al. 2019). Furthermore,based on Blasingame type curve, the production performances of a MFHW is studied. To comprehensivelyunderstand what parameters can influence the different stages of production period, a series of sensitivityanalyses have been done. Finally, we use this new production model to perform a type-curve matching andcompare with the interpretation results getting from pressure transient analysis (PTA) method in a case fromJunggar Basin, it is found that these two methods get almost the same results, which means that the proposedPDA model is reliable. The results show that production performances of a MFHW with complex fracturenetworks in a production decline curve can be divided into five flow regimes, including: (1) bilinear flow,(2) fluid support flow, (3) linear flow, (4) crossflow from matrix to natural fracture networks, and (5) radialflow. Results from sensitivity analysis show that with the increase of fracture networks scale, the holisticproduction rate will increase, and the influence of hydraulic fractures (HFs) are much greater than that ofinterconnected micro fractures (IMFs). It is also noted that the early period of the production behavior ismainly influenced by the density of the fracture networks while the later production behavior is dominatedby the scale of the fracture networks.
机译：评估和预测生产者表现的重要性不能强调拓展，其生产表现可以直接决定经济可行性。更重要的是，生产数据分析（PDA）也可用于评估地质信息，并为我们提供Goodguidelines开发水库。为了全面了解具有复杂骨折网络的多重骨质水平井（MFHW）的性能，基于上一项工作（Tang等人2019），为Junggar Basin Shale Lockoir提供了一个半分析模型。此外，基于Blasingame类型曲线，研究了MFHW的生产性能。为了理解地区的参数可以影响生产期的不同阶段，已经完成了一系列敏感性。最后，我们使用这一新的生产模型来执行类型曲线匹配和伴随中的解释结果，从junggar流域的情况下从压力瞬态分析（pta）方法中，发现这两种方法几乎相同的结果，这意味着ProposedPDA模型可靠。结果表明，生产下降曲线中复杂的骨折作品的MFHW的生产性能可分为五个流动制度，包括：（1）双线性流动，（2）流体支撑流，（3）线性流量，（4）横流从矩阵到自然骨折网络，（5）放射线流。灵敏度分析结果表明，随着裂缝网络量表的增加，全部生产率将增加，液压骨折（HFS）的影响远大于interconneded微骨折（IMF）。还有人指出，生产行为的早期期间受到骨折网络密度的影响，而后期的生产行为是裂缝网络的规模。

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