Integrated Multiphase-Flow Modeling Technique Yields Accurate Downhole Pressure Predictions

C. Carpenter
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Abstract

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 214855, “Integrated Multiphase-Flow Modeling for Downhole Pressure Predictions,” by Abdullah Alkhezzi and Yilin Fan, SPE, Colorado School of Mines. The paper has not been peer reviewed. This work presents an integrated multiphase flow model for downhole pressure predictions. The aim of the model is to produce more-accurate downhole pressure predictions under wide flowing conditions while maintaining a simple form. As a component of the integrated model, an improved two-fluid model for segregated flow is proposed. Results of the two-fluid segregated model are compared with five state-of-the-art existing models, while results of the integrated model are compared with three models. Throughout the life of the well, knowing bottomhole flowing pressure (Pwf) and the pressure profile of the wellbore are of great significance. Unfortunately, deploying downhole pressure gauges to obtain Pwfreadings is often not economical or practical. The common practice is to apply hydraulic models to predict Pwfgiven surface measurements. The prediction of such behavior is simple when dealing with single-phase fluid flow. Unfortunately, this condition is rare in the petroleum industry. The existence of multiple phases introduces multiple complexities hindering the accuracy of downhole pressure predictions. To account for such variations, fluid-property models must be integrated into the calculation procedure. The complexity, coupled with field-data scarcity, results in the deficiency of work that evaluates point models on actual wells. In this work, the authors evaluated the performance of a few widely used multiphase-flow point-based models on actual field data using a marching algorithm and developed a simplified, yet more precise, integrated model. Data Set Description. In this study, data points were collected for two main purposes. First, experimental data sets were collected to model and improve the segregated flow model. Second, field data were collected to test the integrated multiphase model. To improve the segregated flow model, 1,478 experimental data points were obtained from various sources in the literature. To evaluate the integrated multiphase flow model, 313 data points from two main sources of data were used (literature and actual field data). In total, four data sets were obtained from the literature and one was obtained from Civitas Resources. Integrated Model Description. The multiphase-flow point model incorporated in the authors’ integrated modeling consists of three main components: critical gas velocity estimation for the onset of liquid loading and hydraulic multiphase flow models before and after the onset of liquid loading. The proposed model characterizes the flow based on whether liquid loading occurs. The onset of liquid loading corresponds with the transition of the flow pattern from segregated to intermittent flow. At points where the superficial gas velocity is estimated to be lower than the critical gas velocity and the flow is considered intermittent or bubbly, the drift-flux model is to be used, which works well in flow patterns where liquid volume is high. Another strength of the model is its ability to capture countercurrent flow. The drift-flux homogeneous-like approach makes the process simple and continuous and simultaneously captures some physics through slippage. For points where the superficial gas velocity is greater than the critical gas velocity, two-fluid modeling is to be used.
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综合多相流建模技术可准确预测井下压力
本文由 JPT 技术编辑 Chris Carpenter 撰写,包含 SPE 214855 号论文 "用于井下压力预测的综合多相流建模 "的要点,作者 Abdullah Alkhezzi 和 Yilin Fan,SPE,科罗拉多矿业学院。该论文未经同行评审。 该论文介绍了一种用于井下压力预测的综合多相流模型。该模型的目的是在保持简单形式的同时,对宽流动条件下的井下压力进行更精确的预测。作为综合模型的一个组成部分,提出了一种改进的隔离流双流体模型。将双流体隔离模型的结果与五个最先进的现有模型进行了比较,同时将综合模型的结果与三个模型进行了比较。 在油井的整个生命周期中,了解井底流动压力(Pwf)和井筒压力剖面具有重要意义。遗憾的是,部署井下压力计来获取 Pwf 值往往既不经济也不实用。通常的做法是根据地面测量结果,应用水力模型来预测 Pwf。在处理单相流体流动时,这种行为的预测很简单。遗憾的是,这种情况在石油工业中并不多见。多相流的存在带来了多种复杂性,妨碍了井下压力预测的准确性。为了考虑这些变化,必须在计算过程中加入流体性质模型。这种复杂性加上油田数据的匮乏,导致在实际油井中评估点模型的工作十分缺乏。在这项工作中,作者使用行进算法评估了几个广泛使用的基于实际油田数据的多相流点模型的性能,并开发了一个简化但更精确的集成模型。 数据集描述。在这项研究中,收集数据点主要有两个目的。首先,收集实验数据集以建立和改进隔离流模型。其次,收集实地数据来测试综合多相模型。为了改进离析流模型,我们从各种文献资料中获取了 1,478 个实验数据点。为了评估综合多相流模型,使用了来自两个主要数据来源(文献和实际现场数据)的 313 个数据点。共有四组数据来自文献,一组数据来自 Civitas Resources。综合模型描述。作者的综合建模中包含的多相流点模型由三个主要部分组成:液体加载开始时的临界气体速度估算以及液体加载开始前后的水力多相流模型。所提出的模型根据是否发生液体加载来描述流动特征。液体加载的开始与流动模式从分离流向间歇流的转变相对应。在表层气体速度估计低于临界气体速度、流动被认为是间歇或气泡流动时,将使用漂移-流动模型,该模型在液体体积较大的流动模式中效果良好。该模型的另一个优点是能够捕捉逆流流动。类似于漂移-流动的均质方法使过程变得简单、连续,同时通过滑动捕捉到一些物理现象。对于表层气体速度大于临界气体速度的点,应使用双流体模型。
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