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首页> 外文期刊>Journal of Petroleum Science & Engineering >New correlations and deposition envelopes for predicting asphaltene stability in crude oils
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New correlations and deposition envelopes for predicting asphaltene stability in crude oils

机译:用于预测原油中沥青质稳定性的新相关性和沉积包络

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The precipitation and deposition of asphaltene are among the most pressing issues in the petroleum industry. This flow assurance issue may cause formation damage in porous media, the plugging and coking of wellbore and production pipelines and difficulties in the refining process. Such events lead to additional operating costs for the company. Therefore, knowing the conditions at which asphaltene may precipitate and can be stable may enable its management. Existing models of asphaltene stability are dependent on saturate, aromatic, resin and asphaltene (SARA) analysis which can be very expensive and time-consuming. Therefore, using regression analysis as well as MATLAB curve fitting and optimization procedures, a new set of correlations and asphaltene stability envelops (ASEs) based on the newly developed Density-Based Asphaltene/Resin ratio (DBAR), Density-Based Saturate/Aromatic ratio (DBSAr) and the Density-Based Colloidal Instability Index (DBCII) all as functions of oil density have been developed to consistently predict asphaltene stability. The new criteria were developed for the correlations by considering the boundary between stable and unstable regions in their respective plots. The new envelopes showed 83% reliability by accurately predicting asphaltene stability in 24 (eight stable and 16 unstable samples) out of 29 (13 stable and 16 unstable) crude oil samples. The correlation coefficient (R-2), average absolute relative error (AARE) and the root-mean-square error (RMSE) for the new DBAR correlation are 0.9456, 0.8357 and 0.1219 respectively. The DBSAr correlation resulted in R-2 of 0.9437, AARE of 0.1860 and RMSE of 0.2450. For the DBCII, the statistical indicator results were 0.9639 for the R-2, 0.1376 for the RMSE and 0.1038 for the AARE.
机译:沥青质的沉淀和沉积是石油工业中最紧迫的问题之一。这种流动保证问题可能导致多孔介质中的形成损坏,井筒的堵塞和焦化和生产管道和炼油过程中的困难。这些事件导致公司的额外运营成本。因此,了解沥青质可能沉淀的条件可以稳定,可以实现其管理。现有的沥青甾烯稳定性模型取决于饱和,芳族,树脂和沥青质(SARA)分析,其可以非常昂贵且耗时。因此,使用回归分析以及Matlab曲线拟合和优化程序,基于新开发的基于密度的沥青质/树脂比(DBAR),基于密度的饱和/芳族比,这是一种新的相关性和沥青质稳定性包围(ASES) (DBSAR)和基于密度的胶体不稳定性指数(DBCII)作为油密度的函数,以始终如一地预测沥青质稳定性。通过考虑其各自地块中的稳定和不稳定区域之间的边界,为相关性开发了新标准。通过精确预测24(8个稳定和16个不稳定样品)的沥青质稳定性,新的信封可靠性为83%的可靠性,其中29(13个稳定和16个不稳定)原油样品中。新DBar相关性的相关系数(R-2),平均绝对相对误差(AARE)和根均方误差(RMSE)分别为0.9456,0.8357和0.1219。 DBSAR相关导致0.9437的R-2,AARE为0.1860,RMSE为0.2450。对于DBCII,R-2的统计指标结果为0.9639,RMSE为0.1376,AARE为0.1038。

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