Rigorous Carbonate and Sulphide Scale Predictions: What Really Matters?

Giulia Ness, K. Sorbie
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引用次数: 1

Abstract

Predicting the formation of pH- dependent scales such as carbonates and sulphides requires a full calculation of all hydrocarbon and aqueous phases present to determine the distribution and speciation of CO2 and H2S in the system. Several commercially available software packages combine PVT calculations with scale predictions, but such packages are more targeted to aqueous systems and have limited hydrocarbon capabilities. Likewise, PVT modelling software focusing on the hydrocarbon phase does not always fully model the aqueous phase or can only predict a limited number of scales/complexes. Moreover, within each software we can select a large number of different Equations of State (EOS), activity models, equilibrium parameters etc., which may ultimately impact the final carbonate and sulphide scale prediction profile. The questions we try to answer in this work are: How important is the software selection and which parameters really affect the final scale prediction profiles? In what scenarios do these values matter and when are they not important? In previous publications we laid out a clear rigorous procedure (workflow) for the prediction of carbonate and sulphide scales which can be applied using any commercial PVT and scale prediction software. Here we apply this general workflow using different software and EOS models to evaluate their impact on the final carbonate and sulphide scale prediction profiles for some specific carbonate/sulphide field scaling scenarios. The results show that despite the large number of modelling options available, there are two parameters that play a key role in pH-dependant scale predictions: partition coefficients of CO2 and H2S between gas, oil and water and the relative mole (and volume) distribution between each phase at selected temperature and pressure. The final scale prediction results can be accurate only when these values are accurate, irrespective of how they are obtained. This work shows the impact of choosing different software and equations on carbonate and sulphide scale predictions, not just as a "black box" software comparison exercise but with a clear connection between the aqueous and hydrocarbon phase thermodynamics, the scaling system and the final results.
严格的碳酸盐和硫化物规模预测:真正重要的是什么?
预测碳酸盐和硫化物等依赖于pH值的水垢的形成,需要对存在的所有碳氢化合物和水相进行全面计算,以确定系统中CO2和H2S的分布和形态。一些商用软件包将PVT计算与规模预测结合起来,但这些软件包更针对含水系统,并且对碳氢化合物的能力有限。同样,专注于烃相的PVT建模软件并不总是完全模拟水相,或者只能预测有限数量的水垢/络合物。此外,在每个软件中,我们可以选择大量不同的状态方程(EOS),活动模型,平衡参数等,这些可能最终影响最终的碳酸盐和硫化物尺度预测剖面。在这项工作中,我们试图回答的问题是:软件选择有多重要?哪些参数真正影响最终的规模预测概况?在什么情况下这些价值是重要的,什么时候它们不重要?在以前的出版物中,我们制定了一个明确严格的程序(工作流程),用于预测碳酸盐和硫化物鳞片,可以使用任何商业PVT和鳞片预测软件。在这里,我们使用不同的软件和EOS模型应用该通用工作流程来评估它们对某些特定的碳酸盐/硫化物油田结垢场景的最终碳酸盐和硫化物结垢预测剖面的影响。结果表明,尽管有大量可用的建模选项,但有两个参数在ph依赖的尺度预测中起着关键作用:气体、油和水之间CO2和H2S的分配系数以及在选定温度和压力下每个相之间的相对摩尔(和体积)分布。只有当这些值准确时,最终的尺度预测结果才能准确,而不管它们是如何获得的。这项工作显示了选择不同的软件和方程对碳酸盐和硫化物结垢预测的影响,而不仅仅是作为一个“黑盒”软件比较练习,而是与水相和碳氢相热力学,结垢系统和最终结果之间的明确联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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