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基于三维分形裂缝模型的页岩气井智能化产能评价方法 被引量:11
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作者 位云生 王军磊 +4 位作者 于伟 齐亚东 苗继军 袁贺 刘楚溪 《石油勘探与开发》 SCIE EI CAS CSCD 北大核心 2021年第4期787-796,共10页
基于分形理论多次信息叠加算法设计了三维天然裂缝生成方法,人工裂缝模型与天然裂缝模型耦合可表征页岩压后复杂多尺度裂缝系统。采用马尔科夫链-蒙特卡洛智能化历史拟合算法,结合嵌入式离散裂缝技术耦合数值模拟器预测页岩气井产能,形... 基于分形理论多次信息叠加算法设计了三维天然裂缝生成方法,人工裂缝模型与天然裂缝模型耦合可表征页岩压后复杂多尺度裂缝系统。采用马尔科夫链-蒙特卡洛智能化历史拟合算法,结合嵌入式离散裂缝技术耦合数值模拟器预测页岩气井产能,形成了一体化页岩气井产能评价模型。研究表明:三维天然裂缝生成方法可利用分形参数控制裂缝网络的整体分布,与人工裂缝耦合可表征页岩压后复杂的跨尺度裂缝系统;嵌入式离散裂缝模型具有裂缝网格数量少、运算耗时短的优点,能够灵活表征天然裂缝及人工裂缝属性,在有效降低计算量的同时能够精确地模拟流体在基质-裂缝中的交换过程;嵌入式离散裂缝模型与智能化历史拟合算法相结合能够降低裂缝、储集层等未知参数计算的不确定性,实现储集层、裂缝关键参数的有效反演,并实现气井产能量化预测。经实际应用验证一体化井产能评价模型预测结果具有较高的可信度。图13表7参26。 展开更多
关键词 分形裂缝网络 多次信息叠加算法 嵌入式裂缝模型 智能化历史拟合 储集层参数反演 页岩气 智能化产能评价
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天然裂缝多孔介质中流体运移的流线模拟 被引量:7
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作者 左立华 于伟 +2 位作者 苗继军 VARAVEI Abdoljalil SEPEHRNOORI Kamy 《石油勘探与开发》 SCIE EI CAS CSCD 北大核心 2019年第1期125-131,共7页
为了研究天然裂缝在多孔介质中的作用,将嵌入型离散裂缝模型(EDFM)与流线模拟方法相结合,对天然裂缝进行模拟,计算流体在基质和裂缝中的流动轨迹及流动时间。通过分析具有不同裂缝网络的油藏见水时间和驱扫体积的差别,研究裂缝导流能力... 为了研究天然裂缝在多孔介质中的作用,将嵌入型离散裂缝模型(EDFM)与流线模拟方法相结合,对天然裂缝进行模拟,计算流体在基质和裂缝中的流动轨迹及流动时间。通过分析具有不同裂缝网络的油藏见水时间和驱扫体积的差别,研究裂缝导流能力、裂缝数目和裂缝位置对流体流动轨迹和流动时间的影响。研究表明,在其他条件相同的情况下,与无裂缝均质油藏相比,裂缝性油藏中水驱见水时间会快30%,而驱扫体积会少10%。虽然增加单条裂缝可以加速见水时间,减少驱扫体积,但增加更多裂缝却不一定得到相同效果。水驱效果还跟裂缝的走向和位置有关系,不同的走向和位置可以导致见水时间相差20%,而驱扫体积相差9%。裂缝长度越短,对于流体流动轨迹和流动时间的影响越小。裂缝的位置对驱扫效率影响较大,单条裂缝的位置变动可以导致驱扫体积变化1%。 展开更多
关键词 多相流 水驱 嵌入型离散裂缝模型 流线模拟 天然裂缝
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A smart productivity evaluation method for shale gas wells based on 3D fractal fracture network model
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作者 WEI Yunsheng WANG Junlei +4 位作者 YU Wei QI Yadong MIAO Jijun YUAN He LIU Chuxi 《Petroleum Exploration and Development》 CSCD 2021年第4期911-922,共12页
The generation method of three-dimensional fractal discrete fracture network(FDFN)based on multiplicative cascade process was developed.The complex multi-scale fracture system in shale after fracturing was characteriz... The generation method of three-dimensional fractal discrete fracture network(FDFN)based on multiplicative cascade process was developed.The complex multi-scale fracture system in shale after fracturing was characterized by coupling the artificial fracture model and the natural fracture model.Based on an assisted history matching(AHM)using multiple-proxy-based Markov chain Monte Carlo algorithm(MCMC),an embedded discrete fracture modeling(EDFM)incorporated with reservoir simulator was used to predict productivity of shale gas well.When using the natural fracture generation method,the distribution of natural fracture network can be controlled by fractal parameters,and the natural fracture network generated coupling with artificial fractures can characterize the complex system of different-scale fractures in shale after fracturing.The EDFM,with fewer grids and less computation time consumption,can characterize the attributes of natural fractures and artificial fractures flexibly,and simulate the details of mass transfer between matrix cells and fractures while reducing computation significantly.The combination of AMH and EDFM can lower the uncertainty of reservoir and fracture parameters,and realize effective inversion of key reservoir and fracture parameters and the productivity forecast of shale gas wells.Application demonstrates the results from the proposed productivity prediction model integrating FDFN,EDFM and AHM have high credibility. 展开更多
关键词 fractal discrete fracture network multiplicative cascade process embedded discrete fracture model intelligent history matching reservoir parameter inversion shale gas smart productivity evaluation
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Streamline modeling of fluid transport in naturally fractured porous medium
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作者 ZUO Lihua YU Wei +2 位作者 MIAO Jijun VARAVEI Abdoljalil SEPEHRNOORI Kamy 《Petroleum Exploration and Development》 2019年第1期130-137,共8页
To better understand the roles natural fractures play in porous media, an embedded discrete fracture model and streamline modeling method were combined to model natural fractures and compute the flow trajectory and ti... To better understand the roles natural fractures play in porous media, an embedded discrete fracture model and streamline modeling method were combined to model natural fractures and compute the flow trajectory and time of fluid in matrix and fractures systems. The effects of fracture conductivity, number of fractures and fracture locations on fluid flow trajectory and time were examined through analyzing the differences in water breakthrough time and sweeping volume of reservoirs with different fracture networks. When other conditions are the same, compared with homogeneous reservoir without fractures, the fractured reservoir has water breakthrough time 30% sooner and swept volume 10% smaller. Although increase of single fracture can lead to faster water breakthrough and smaller swept volume, adding more fractures wouldn't necessarily reach the same effect. The effect of water flooding is also related to the strike and position of fractures. Fractures in different strikes and positions can result in 20% discrepancy in water breakthrough time and 9% gap in swept volume. The shorter the fracture, the less its effect on fluid flow trajectory and time will be. The position of fracture has a strong influence on sweeping efficiency, and the change of one fracture position could bring about 1% variation in swept volume. 展开更多
关键词 MULTIPHASE flow water FLOODING embedded DISCRETE FRACTURE model STREAMLINE simulation natural FRACTURE
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