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New Experimental Correlations to Predict Proppant Distribution BetweenPerforation Clusters Using Low Viscosity Fluids in a Horizontal Wellbore

机译:新的实验相关性,以预测水平井筒中低粘度流体之间的支撑剂分布

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Hydraulic fracturing is a widely applied technology to increase recoverable reserves and accelerateproduction in low permeability reservoirs.In this technique,the hydraulic fractures are generated bypumping a fracturing fluid at a high flow rate and introducing proppant with the fluid to keep the fracturesopen after the pumping is halted.In horizontal well fracturing,one of the most important factors in thismethod is the proppant transport and distribution in the wellbore and among perforation clusters.Unevenproppant distribution between multiple clusters/fractures can cause a drop in the near-wellbore fractureconductivity,which in turn causes a negative impact on the production performance of the hydraulicfractures.This paper presents new experimental correlations that were developed and can be utilized topredict the proppant distribution between subsequent perforation clusters.The experimental correlations were developed using dimensional analysis from appropriate experimentaldata.The experimental data for this study was obtained from a horizontal wellbore apparatus with threeperforation clusters at shot densities of 4 SPF with 90-degree phasing.Several experimental tests wereconducted on 20/40 and 40/70 for white sand(SG of 2.65)and ultra-light weight ceramic(SG of 2.0)usingfreshwater fluids at three flow rates and over a wide range of proppant concentrations.Four types of experimental correlations were developed by experimentally investigating the effect ofeach parameter on the proppant distribution between the three perforation clusters.The first correlationtype developed is based on the proppant concentration,while the second type is based on the flow rateand proppant concentration.The third correlation type includes the particle median diameter as anotherindependent variable,along with the flow rate and proppant concentration.The fourth and final correlationdeveloped consists of the proppant density along with the proppant median diameter,flow rate and proppantconcentration as its independent variables.This fourth and final correlation was validated by comparingthe predicted values to the laboratory values.The results of correlation analysis comparison to lab datashow that the 20/40 and 40/70 ULW ceramic showed the lowest average error values at 2.92% and 1.56%,respectively,while the 20/40 and 40/70 white sand transport predictions were reasonable(average errorrange of 3.67%-11.67%).The low error values indicate the high reliability of the developed correlationsin predicting the proppant distribution between perforation clusters.To the authors'knowledge,the developed correlations are the first of their kind to be based onexperimental data.These correlations can help to determine the optimum flow rate that is required to attaineven distribution of the proppant and provide more insight about the anticipated proppant distribution intoand out of perforation clusters.
机译:液压压裂是一种广泛应用的技术,可以增加可恢复的储备和在低渗透储量中的加速生产。在这种技术中,液压骨折以高流速抑制压裂液,并用流体引入支撑剂以保持泵送后泵送暂停。在水平良好的压裂中,Thismethod中最重要的因素之一是井筒的支撑剂运输和分布在井筒和穿孔簇中。多簇/骨折之间的分布可以导致近井眼骨折导电性下降对液压法的生产性能产生负面影响。本文提出了开发的新实验相关性,可用于填充后续穿孔簇之间的支撑剂分布。使用尺寸分析来自适当的实验性的实验相关性。本研究的E实验数据是从带有三种簇的水平井筒装置获得,在4个SPF的镜头密度,具有90度的阶段。在20/40和40/70的白色沙子(SG为2.65)和超级阶段的实验试验 - 用三个流速和多种支撑剂浓度使用射水液的重量陶瓷(SG 2.0)。通过通过实验研究三个穿孔簇之间的支撑剂分布的效果来开发了实验相关性的类型的实验相关性。所开发的相关性基于支撑剂浓度,而第二种类型基于流量率的浓度。第三个相关型包括颗粒中值直径作为另一个依赖性变量,以及流速和支撑剂浓度。第四和最终的相关型包括支撑剂密度随着支撑剂中值,流速和ProPPA作为其独立变量的Ntconcentation。通过将预测值与实验室值进行比较来验证第四个和最终相关性。与实验室数据的相关性分析结果与20/40和40/70 ULW陶瓷的相关性分析比较显示为2.92的最低平均误差值分别为%和1.56%,而20/40和40/70白沙运输预测是合理的(平均错误为3.67%-11.67%)。低误差值表明所开发的相关性的高可靠性预测支撑剂分布穿孔簇。对于作者的知识,发达的相关性是它们的一个自然数据的第一个相关性。这些相关性可以有助于确定达到支撑剂分布所需的最佳流速,并提供更多关于预期的洞察力支撑剂分布进出穿孔簇。

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