通过生产数据分析确定平均储层压力和原始天然气的无迭代方法:方法和现场案例

IF 4.2 3区 工程技术 Q2 ENERGY & FUELS
Yang Wang , Shilong Yang , Hang Xie , Naichao Feng , Haiyang Yu
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引用次数: 0

摘要

目前的边界主导流(BDF)下的气井递减分析主要基于Arps的经验双曲递减模型和与伪函数相关的解析型曲线工具。由于天然气的非线性流动特性,这些分析方法通常需要迭代计算。本文引入了无因次气率(qg/qgi),提出了一种确定体积气藏平均储层压力和原始含气量(OGIP)的显式方法。结果表明,BDF中无量纲气体速率仅是气体PVT参数和储层压力的函数。一步一步的分析程序,提出了能够明确和直接估计平均油藏压力和OGIP的直线分析。与现有技术相比,该方法避免了伪时间和伪压力函数的迭代计算,降低了类型曲线分析的多重性,适用于不同的生产情况(定/变气体流量、定/变井底压力),适用范围广,易于使用。油藏数值模拟和现场实例进行了深入的讨论,以突出所提出方法的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An iteration-free approach for determining the average reservoir pressure and original gas in place by production data analysis: Methodology and field cases
Current gas well decline analysis under boundary-dominated flow (BDF) is largely based on the Arps' empirical hyperbolic decline model and the analytical type curve tools associated with pseudo-functions. Due to the nonlinear flow behavior of natural gas, these analysis methods generally require iterative calculations. In this study, the dimensionless gas rate (qg/qgi) is introduced, and an explicit method to determine the average reservoir pressure and the original gas in place (OGIP) for a volumetric gas reservoir is proposed. We show that the dimensionless gas rate in the BDF is only the function of the gas PVT parameters and reservoir pressure. Step-by-step analysis procedures are presented that enable explicit and straightforward estimation of average reservoir pressure and OGIP by straight-line analysis. Compared with current techniques, this methodology avoids the iterative calculation of pseudo-time and pseudo-pressure functions, lowers the multiplicity of type curve analysis, and is applicable in different production situations (constant/variable gas flow rate, constant/variable bottom-hole pressure) with a broad range of applications and ease of use. Reservoir numerical simulation and field examples are thoroughly discussed to highlight the capabilities of the proposed approach.
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来源期刊
Natural Gas Industry B
Natural Gas Industry B Earth and Planetary Sciences-Geology
CiteScore
5.80
自引率
6.10%
发文量
46
审稿时长
79 days
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