A New Method for Estimating Oil Well Production Rates Based on Enthalpy Balance Utilizing Temperature Data

Amin Mirhaseli Igder, H. Mahdiyar, Gholamreza Vakili-Nezhaad
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Abstract

The fundamental objective of this study is to utilize a temperature dataset to achieve accurate rate estimation. This study introduces a graphical method, incorporating suitable assumptions, for predicting flow rates in single-phase vertical oil flow. The method takes into consideration the fouling factor and addresses the steady-state flow of heat in the wellbore, while also accounting for the transient heat conduction in the formation. To evaluate and validate the proposed model, two field cases are examined, and associated uncertainties are discussed. The model's predictions are compared with those obtained from Hassan and Kabir's approach, as well as actual separator flow rate data. The comparisons reveal that the model exhibits a high level of accuracy within its specified range of application. Statistical analyses indicate that most of the models perform comparably, although the suggested graphical model stands out for its higher accuracy and user-friendly nature. The performance of uncertainty is found to be more reliant on the accuracy of data measurement rather than the features of the model itself.
基于焓平衡、利用温度数据估算油井生产率的新方法
本研究的基本目标是利用温度数据集实现精确的流速估算。本研究介绍了一种图形方法,其中包含适当的假设,用于预测单相垂直油流的流速。该方法考虑了结垢因素,解决了井筒中热量的稳态流动问题,同时也考虑了地层中的瞬态热传导问题。为了评估和验证所提出的模型,研究了两个现场案例,并讨论了相关的不确定性。模型的预测结果与 Hassan 和 Kabir 的方法以及实际分离器流速数据进行了比较。比较结果表明,该模型在指定的应用范围内表现出很高的准确性。统计分析表明,大多数模型的性能相当,但建议的图形模型因其更高的精度和用户友好性而脱颖而出。我们发现,不确定性的表现更依赖于数据测量的准确性,而不是模型本身的特点。
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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