Inflow Performance Relationship Correlation for Solution Gas-Drive Reservoirs Using Non-Parametric Regression Technique

A. Daoud, M. A. Salam, A. Hashem, M. Sayyouh
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引用次数: 3

Abstract

Received: March 28, 2017 Revised: May 08, 2017 Accepted: June 13, 2017 Abstract: Background: The Inflow Performance Relationship (IPR) describes the behavior of flow rate with flowing pressure, which is an important tool in understanding the well productivity. Different correlations to model this behavior can be classified into empirically-derived and analytically-derived correlations. The empirically-derived are those derived from field or simulation data. The analytically-derived are those derived from basic principle of mass balance that describes multiphase flow within the reservoir. The empirical correlations suffer from the limited ranges of data used in its generation and they are not function of reservoir rock and fluid data that vary per each reservoir. The analytical correlations suffer from the difficulty of obtaining their input data for its application.
基于非参数回归技术的溶液气驱油藏流入动态关系分析
摘要:背景:流入动态关系(IPR)描述了流量随流动压力的变化规律,是了解油井产能的重要工具。对这种行为进行建模的不同相关性可以分为经验推导的相关性和分析推导的相关性。经验推导的是由现场或模拟数据推导的结果。解析推导是由描述储层内多相流的质量平衡基本原理推导出来的。经验相关性受其生成中使用的数据范围有限的影响,并且它们不是每个油藏不同的储层岩石和流体数据的函数。分析相关性难以获得其应用所需的输入数据。
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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