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Comparison of Various Particle Size Distribution Measurement Methods:Role of Particle Shape Descriptors

机译:各种粒度分布测量方法的比较:粒子形状描述函数的作用

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Sieve analysis,sedimentation and laser diffraction have been the methods of choice in determining particlesize distribution(PSD)for sand control design.However,these methods do not provide any informationregarding the particle shape.In this study,we introduce the application of Dynamic Image Analysis(DIA)to characterize particle sizes and shape descriptors of sand bearing formations.Dynamic Image Analysis,an advanced method of particle size and shape characterization,along withother PSD measurement methods,including sieving combined with sedimentation,and laser diffraction,was utilized to study size and shape variations of 372 unconsolidated formation sand samples from NorthAmerica,Latin America,and the Middle East.Different methods were compared for the estimation of PSDand fines content,which is important for sand control design.Through minimizing the sampling and measurement errors,the deviation between different PSDmeasurement techniques was attributed solely to the shape of the particles and the amount of fine fraction.For fines content measurement,the values obtained through Feret Min.parameter values(the minimumsize of a particle along all directions)calculated by DIA and sieving measurement are comparable within a5% confidence band.The deviation between the results of different methods becomes more significant byincreasing fines content.Moreover,this deviation increases for less isodiametric grains.The fines and claycontent show higher values when measured by any wet analysis.Laser diffraction also tends to overestimatethe fines fraction and underestimate silt/sand fraction compared to other dry techniques.By comparing thedeviation of the DIA and sieving at standard mesh sizes,an algorithm has been developed which choosesthe equivalent sphere sizes of DIA with minimum deviation from sieving.This study performs several measurements on formation sands to illustrate the real advantage of the newmethods over traditional measurement techniques.Furthermore,particle shape descriptors were used toexplain the deviation between the results of different PSD measurement methods.
机译:筛分分析,沉降和激光衍射是首选中的选择方法,用于确定用于砂控制设计的颗粒化分布(PSD)。然而,这些方法不提供任何信息,不提供粒子形状。在本研究中,我们介绍了动态图像分析的应用(DIAD)以表征砂轴承形成的粒度和形状描述。动力图像分析,颗粒尺寸和形状表征的先进方法,以及其他PSD测量方法,包括筛分与沉降和激光衍射,以及激光衍射,研究尺寸从北美,拉丁美洲和中东的372个未溶胀的形成砂样的形状变化。比较了PSDAND罚款含量的不同方法,这对于砂控制设计很重要。以最小化采样和测量误差,偏差最小化在不同的PSDMeasurement技术之间仅归因于PA的形状艺品和精细fraction.For细粒含量测量的量,通过计算DIA和筛分测量费雷特Min.parameter值(沿所有方向的粒子的的minimumSize)获得的数值之间A5%置信band.The偏差内可比不同方法的结果变得更加显着,通过释放粉末含量更大。对于较少的异级颗粒而言,这种偏差增加。当通过任何湿法分析测量时,细粒和粘土表现出较高的值.Saser衍射也倾向于高氧化粒子分数并低估淤泥/沙子分数与其他干技术相比,在标准网格尺寸下筛分附近,已经开发了一种算法,其中思想最小偏差的DIA的Choosesthe等效球尺寸。本研究对地层砂进行了几次测量,以说明实际优势传统测量技术的新方法。甜,尤其E形状描述符被用来解释不同PSD测量方法结果之间的偏差。

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