海上超深水碳酸盐岩气田天然气储量桶油当量换算系数的随机估计

IF 2.1 4区工程技术 Q3 ENERGY & FUELS

SPE Reservoir Evaluation & Engineering Pub Date : 2023-04-01 DOI:10.2118/214683-pa

L. C. Silva, J. V. Roque, G. Oliveira, R. G. Souza, S. Paulino, C. Fonseca, D. Braga, J. Trujillo

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引用次数: 0

摘要

石油和天然气产量是用不同的单位来测量的;因此，需要使用天然气(NG)到桶油当量(BOE)的转换系数。通常使用基于参考油的SPE单位转换系数。然而，BOE转换因子随天然气计算的高热值(HHV)的函数而变化，而HHV又随天然气成分的函数而变化。通过蒙特卡罗模拟，利用多年来测量的HHV和天然气产量估算了两个海上超深水碳酸盐岩油田的BOE转换系数。然后，使用新的BOE转换系数来审查2021年收集的生产数据。通过将新产量数据与SPE单位换算系数得到的数据进行比较，发现所提出的换算系数比标准化换算系数更适合于特定资产。

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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Stochastic Estimation of Barrels of Oil Equivalent Conversion Factor for Natural Gas Volumes from Offshore Carbonate Fields in Ultradeep Waters

Oil and gas production is measured in different units; therefore, there is a need to use a conversion factor of natural gas (NG) to barrels of oil equivalent (BOE). The SPE unit conversion factor, which is based on a reference oil, is often used. However, BOE conversion factors vary as a function of the high heating value (HHV) calculated for a gas, which in turn, varies as a function of the NG composition. Herein, by using Monte Carlo simulations, HHV and produced volumes of NG measured over the years were used in estimating BOE conversion factors for two offshore carbonate fields in ultradeep waters. Then, the new BOE conversion factors were used to review the production data collected in 2021. By comparing the new production data with the data obtained by using the SPE unit conversion factor, it is seen that the proposed conversion factors are more suitable for the specific assets than the standardized conversion factors.

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来源期刊

SPE Reservoir Evaluation & Engineering 工程技术-地质学

CiteScore

5.30

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Covers the application of a wide range of topics, including reservoir characterization, geology and geophysics, core analysis, well logging, well testing, reservoir management, enhanced oil recovery, fluid mechanics, performance prediction, reservoir simulation, digital energy, uncertainty/risk assessment, information management, resource and reserve evaluation, portfolio/asset management, project valuation, and petroleum economics.