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Insights into Field Application of EOR Techniques from Modeling of TightReservoirs with Complex High-Density Fracture Network

机译:具有复杂高密度裂缝网络的尖端技术展望EOR技术的洞察

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Pilot tests of surfactant additives in completion fluid and gas huff n'puff in depleted wells have proventhe possibility of production enhancement in unconventional liquid reservoirs(ULR).However,numericalsimulation studies regarding EOR techniques neglect two important features of the ULR:extensive fracturediscontinuity and high fracture density.This work explores how these two features effect depletion forecastsand EOR evaluation in ULR by applying discrete fracture network(DFN)modeling and optimizedunstructured gridding.In this study,grid generation algorithms for Perpendicular Bisection(PEBI)gridding are improved tohandle reservoirs with complex fracture geometry and high fracture intensity.The depletion behavior of thedual-porosity methods and the DFN method are compared based on the"sugar-cube"conceptual model.Data including outcrop maps and FMI log are used to characterize fracture network geometry and buildDFN models to represent realistic stimulated tight reservoirs.Dynamic fluid flow models are calibratedthrough history matching of depletion.To properly model EOR processes at the field scale,results frompublications of lab experiments regarding surfactant imbibition and CO2 huff n'puff are used to generatesimulation parameters.A series of surfactant spontaneous imbibition and gas huff n'puff simulations areperformed on those calibrated DFN models to study the impact of fracture geometry on EOR performance.Simulation results indicate that dual-porosity methods are not correct if the transient period of fracture-matrix flow lasts for extaned periods or the continuity of fractures is poor,both of which are very commonin ULR.By tuning parameters within a reasonable range,DFN dynamic fluid flow models match theproduction data and can represent the realistic stimulated ULR.Surfactant assisted spontaneous imbibition(SASI)in the matrix domain results in a marginal production increase compared to water imbibition.It is found that wettability alteration incurred in the fracture system may play a more important role inproduction enhancement.Simulation results of gas huff n'puff indicate the main recovery mechanisms arere-pressurization and viscosity reduction characteristic of multicontact miscibility.And for reservoirs belowthe bubble-point,another recovery mechanism is the increase of heavy components'flux.However,eitherincreasing the soak period or increasing the portion of the production period in each cycle has a minor effecton recovery enhancement.This study reveals the significance of using DFN with the unstructured grid to study the EOR processes inULR.This approach can capture the rapid and extreme change in phase saturation and component fractionwithin the stimulated reservoir volume(SRV).Our results demonstrate the important factors that affect thefield-scale EOR performance in ULR.
机译:完成液体活性剂添加剂的试验试验耗尽孔中的储层井N'puff已经证明了在非传统液体储层(ULR)中产生增强的可能性。但是,关于EOR技术的数值仿金研究忽略了ULR的两个重要特征:广泛的破碎性侦察和高裂缝密度。这项工作探讨了这两个特征通过应用离散断裂网络(DFN)建模和优化结构网格来探讨这两个特征效应耗尽预测和EOR评估。本研究,垂直平等(PEBI)网格的电网生成算法改进了复杂的储层骨折几何和高骨折强度。基于“糖 - 立方体”概念模型进行了比较了对孔隙度方法和DFN方法的耗尽行为.DATA包括露头映射和FMI日志,用于表征骨折网络几何和BuildDFN模型代表现实刺激的紧水库。动力学FL UID流模型是次级级级历史匹配的耗尽。为了适当地模拟现场规模的EOR过程,实验室实验的出版物关于表面活性剂吸收和CO2 Huff N'Puff的结果用于产生仿制参数。A系列表面活性剂自发性吸收和气体呼吸'Puff模拟在那些校准的DFN模型上表现出裂缝几何形状对EOR性能的影响。仿真结果表明,如果断裂矩阵流的瞬态时期持续出现突出时期或裂缝连续性,则双孔隙度方法是不正确的差,两者都是非常常见的ULR.BY调整参数在合理的范围内,DFN动态流体流模型匹配生产数据,可以代表逼真的刺激的ULR.surfactant辅助自发性吸入(SASI)在基质域中的辅助自发性吸收(SASI)导致边缘生产导致边缘生产与水性吸收相比增加。发现润湿性改变发生裂缝系统可能发挥更重要的作用作用。汽油沟的仿真结果表明,多变误解的主要恢复机制阶段加压和粘度降低特征。对于泡沫点以下的水库,另一个恢复机制增加了重量的零件。无论如何,均匀,浸泡期或增加每个循环中的生产期的部分都有轻微的影响恢复增强。本研究揭示了使用DFN与非结构化网格研究EOR过程的重要性。这方法可以捕获刺激的储存量(SRV)的相位饱和度和分量分数的快速和极端变化。我们结果证明了影响ULR中的菲尔德级EOR性能的重要因素。

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