ISSN 1673-8217 CN 41-1388/TE
主管:中国石油化工集团有限公司 主办:中国石油化工股份有限公司河南油田分公司
曾隽, 高和群, 易明华, 徐辉. 2019: 苏北区块最小混相压力预测. 石油地质与工程, 33(04): 50-53.
引用本文: 曾隽, 高和群, 易明华, 徐辉. 2019: 苏北区块最小混相压力预测. 石油地质与工程, 33(04): 50-53.
ZENG Juan, GAO Hequn, YI Minghua, XU Hui. 2019: Prediction of minimum miscible pressure in northern block of Jiangsu. Petroleum Geology and Engineering, 33(04): 50-53.
Citation: ZENG Juan, GAO Hequn, YI Minghua, XU Hui. 2019: Prediction of minimum miscible pressure in northern block of Jiangsu. Petroleum Geology and Engineering, 33(04): 50-53.

苏北区块最小混相压力预测

Prediction of minimum miscible pressure in northern block of Jiangsu

  • 摘要: 最小混相压力是衡量二氧化碳驱混相与非混相的重要参考依据,成为二氧化碳驱提高采收率的重要研究课题之一,实验测得最小混相压力准确,但用时长、消耗大。通过调研国内外18种主流经验公式,其影响因素主要为温度、烃组分,基于此,从苏北区块实验测试井中选取7口井,将其实验数据代入经验关联式,进行对比分析,根据实际情况,拟合适合苏北区块最小混相压力预测关联式,并代入H井进行验证。结果表明,预测关联式得到的最小混相压力数值为27.98,与实际测量值误差仅为4.80%,该预测关联式可以为二氧化碳驱进一步探索提供参考。

     

    Abstract: As an important reference for measuring the miscibility and non-miscibility of carbon dioxide displacement, the minimum miscibility pressure became one of the important research topics. The minimum miscible pressure measured in the experiment is accurate, but it is time-consuming and costly. In order to improve the application efficiency, many scholars at home and abroad have established the minimum miscible pressure prediction chart based on experimental data. By investigating 18 mainstream empirical formulas at home and abroad, the main influencing factors are temperature and hydrocarbon components. Based on this,seven wells were selected from the experimental test wells in the northern block of Jiangsu, and their experimental data were substituted into the empirical correlation formula for comparative analysis. According to the actual situation, the prediction chart of the minimum miscible pressure in northern block of Jiangsu was fitted and substituted it into H-well for verification. The results show that the minimum miscible pressure obtained by the predicted correlation is 27.98, and the error with the actual measured value is only 4.80%.The predicted correlation can provide a reference for further exploration of carbon dioxide.

     

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