An effective characterization procedure for petroleum reservoir fluids using molecular type methods and cubic equations of state,The Canadian Journal of Chemical Engineering

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An effective characterization procedure for petroleum reservoir fluids using molecular type methods and cubic equations of state
The Canadian Journal of Chemical Engineering ( IF 1.6 ) Pub Date : 2022-07-24 , DOI: 10.1002/cjce.24567
Pouya Hosseinifar ₁ , Hamidreza Shahverdi ₁

Affiliation

Two eminent molecular type composition methods (paraffins, naphthenes, and aromatics [PNA] and saturates, aromatics, and polynuclear aromatics [SAP]) are employed to construct new characterization procedures for predicting the phase behaviour of petroleum fluids using a modified Peng–Robinson equation of state. The PNA and SAP methods divide a petroleum fraction into (PNA) and (SAP) homologous groups, respectively. Two generalized models are developed to predict the physical properties (

◂,▸ Mw, SG, T_{b}

) and equation of state (EOS) parameters (

◂,▸ T_{c}, P_{c}, ω

) for both PNA and SAP sub-fractions. Each generalized model covers 18 different correlations in a single mathematical form that enables the model to return 18 outputs for PNA and SAP sub-fraction parameters. A new lumping method is also developed to convert triple PNA or SAP pseudo-components into single characterized fractions. Accordingly, seven different characterization procedures are introduced and compared with one another. The first two procedures are completely constructed based on the proposed models, and the other procedures encompass the models already developed. The results obtained from the simulation of the differential liberation test for 12 diverse reservoir fluids and bubble pressure prediction for 40 oil samples revealed that the first two methods (1 and 2) could enhance the abilities of the traditional characterization procedures for reservoir fluid modelling. The mean value of average absolute relative deviations (AARDs) over a total of 52 oil samples is about 6.5% for the proposed methods and is about 13.2% for the best previously existing methods. Moreover, an efficient workflow is provided for the parameter tuning process, which is notably capable of reducing the level of prediction errors using only three adjustable parameters.

中文翻译：

使用分子类型方法和三次状态方程对石油储层流体进行有效表征的程序

采用两种著名的分子类型组成方法（链烷烃、环烷烃和芳烃 [PNA] 和饱和烃、芳烃和多核芳烃 [SAP]）构建新的表征程序，使用改进的 Peng-Robinson 方程预测石油流体的相行为状态。PNA 和 SAP 方法将石油馏分分别分为 (PNA) 和 (SAP) 同源组。开发了两个广义模型来预测物理特性（

◂,▸ 分子量, 神光, 吨_{b}

) 和状态方程 (EOS) 参数 (

◂,▸ 吨_{C}, P_{C}, ω

) 对于 PNA 和 SAP 子分数。每个广义模型以单一数学形式涵盖 18 种不同的相关性，使模型能够为 PNA 和 SAP 子部分参数返回 18 个输出。还开发了一种新的集中方法，将三重 PNA 或 SAP 伪组分转换为单一特征分数。因此，介绍了七种不同的表征程序并相互比较。前两个程序完全基于建议的模型构建，其他程序包含已经开发的模型。从 12 种不同储层流体的差异释放试验模拟和 40 个油样的气泡压力预测中获得的结果表明，前两种方法（1 和 2）可以增强储层流体建模的传统表征程序的能力。对于所提出的方法，总共 52 个油样的平均绝对相对偏差 (AARD) 的平均值约为 6.5%，而对于先前现有的最佳方法，平均值约为 13.2%。此外，为参数调整过程提供了一个高效的工作流程，它能够显着地降低仅使用三个可调参数的预测误差水平。5% 用于建议的方法，大约 13.2% 用于现有的最佳方法。此外，为参数调整过程提供了一个高效的工作流程，它能够显着地降低仅使用三个可调参数的预测误差水平。5% 用于建议的方法，大约 13.2% 用于现有的最佳方法。此外，为参数调整过程提供了一个高效的工作流程，它能够显着地降低仅使用三个可调参数的预测误差水平。

更新日期：2022-07-24

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