尼日尔三角洲地区基于速率递减的气藏动态预测模型

Anietie Ndarake Okon, Daniel T. Olagunju, J. Akpabio
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引用次数: 2

摘要

本文将递减曲线分析(DCA)方法作为尼日尔三角洲地区ABC油田气藏动态评估的快速工具。传统的Arps模型:指数,调和和双曲,以及倒数和二次模型被使用。生产数据:获得了“ABC”油田13口井的产气量q和累计产量G。采用上述模型进行多变量分析,建立下降常数(Di)和下降指数(b);尼日尔三角洲地区“ABC”油田的双曲模型。除气田的倒数模型为0.00053天外,所有模型的递减常数均为0.000064天。双曲模型的下降指数(b)为0.9999。统计分析:拟合模型的绝对误差、标准差和决定系数,用于确定其预测值与Arps模型中现场试验数据结果的差异程度:指数0.1150,原始研究文章Okon等;地球物理学报,19(1):1-14,2017;文章no.BJAST。31184 2 0.02666和0.9981;谐波分别为0.11547、0.02665、0.9982,双曲分别为0.11547、0.02665、0.9982。倒数模型和二次模型的绝对误差、标准差和决定系数分别为0.09726、0.026745和0.9911,0.0097、0.000008和0.9998。因此,研究结果表明,用于油藏动态分析的现代速率递减模型可以与著名的Arps模型相竞争。因此,拟合的二次模型可作为尼日尔三角洲地区“ABC”气田储层动态分析的快速工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rate Decline-based Models for Gas Reservoir Performance Prediction in Niger Delta Region
This work considers the Decline Curve Analysis (DCA) approach as a quick tool to estimate the gas reservoir performance of field “ABC” in the Niger Delta region. The conventional Arps’ models: Exponential, Harmonic and Hyperbolic, alongside with the Reciprocal and Quadratic models were used. Production data: gas production rate q and gas cumulative production G were obtained from 13 wells in the field “ABC”. Multivariate analyses were performed with the mentioned models to establish the decline constant (Di) and decline exponent (b); for hyperbolic model, of the field “ABC” in the Niger Delta region. A decline constant of 0.000064day was obtained from all the models with exception of Reciprocal model with 0.00053day for the gas field. Also, the decline exponent (b) obtained for Hyperbolic model was 0.9999. The statistical analysis: absolute error, standard deviation and coefficient of determination, of the fitted models used to ascertain the extent of their predicted values differ from the field test data results in Arps’ models: Exponential 0.1150, Original Research Article Okon et al.; BJAST, 19(1): 1-14, 2017; Article no.BJAST.31184 2 0.02666 and 0.9981; Harmonic 0.11547, 0.02665 and 0.9982 and Hyperbolic 0.11547, 0.02665 and 0.9982, respectively. Furthermore, Reciprocal and Quadratic models generated an absolute error, standard deviation and coefficient of determination of 0.09726, 0.026745 and 0.9911, and 0.0097, 0.000008 and 0.9998, respectively. Thus, the results indicate that, modern rate decline models for reservoir performance analysis can compete with the well-known Arps’ model(s). Therefore, the fitted Quadratic-based model can be used as a quick tool to analyze the reservoir performance of the gas field “ABC” in the Niger Delta region.
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