特种油气藏 ›› 2026, Vol. 33 ›› Issue (4): 66-73.DOI: 10.3969/j.issn.1006-6535.2026.04.009

• 油藏工程 • 上一篇    下一篇

新型CO2驱油特征方程及动态预测图版的建立

崔传智1,2, 陈文腾1,2, 郑家朋3, 马晓丽3, 李丹3, 顾潇3, 王俊康1,2   

  1. 1.中国石油大学(华东)深层油气全国重点实验室,山东 青岛 266580;
    2.中国石油大学(华东)石油工程学院,山东 青岛 266580;
    3.中国石油冀东油田分公司勘探开发研究院,河北 唐山 063004
  • 收稿日期:2025-07-28 修回日期:2026-05-06 出版日期:2026-08-25 发布日期:2026-10-15
  • 作者简介:崔传智(1970—),男,教授,1993年毕业于石油大学(华东)油藏工程专业,2005年毕业于中国地质大学(北京)矿产普查与勘探专业,获博士学位,现从事油气渗流理论与开发技术研究工作。
  • 基金资助:
    国家科技重大专项“CO2驱油与封存协同优化调控技术研究”(2024ZD1406605)

Establishment of a novel characteristic equation and dynamic prediction chart for CO2 flooding

Cui Chuanzhi1,2, Chen Wenteng1,2, Zheng Jiapeng3, Ma Xiaoli3, Li Dan3, Gu Xiao3, Wang Junkang1,2   

  1. 1. State Key Laboratory of Deep Oil and Gas,China University of Petroleum(East China),Qingdao,Shandong 266580,China;
    2. School of Petroleum Engineering,China University of Petroleum(East China),Qingdao,Shandong 266580,China;
    3. PetroChina Jidong Oilfield Company,Research Institute of Petroleum Exploration & Development,Tangshan,Hebei 063004,China
  • Received:2025-07-28 Revised:2026-05-06 Online:2026-08-25 Published:2026-10-15

摘要: 针对CO2驱油效果动态评价方法缺乏理论支撑,依赖数值模拟且难以实时应用的问题,根据物质平衡原理,运用数学推导方法,建立新型CO2驱油特征曲线方程与动态预测理论图版。研究表明:CO2驱油效果预测图版突破了传统方法依赖矿场数据拟合、缺乏物理机制支撑的局限性,可定量表征关键参数间的数学函数关系,并结合理论图版实现CO2驱油效果的实时动态评价与预测;通过与数值模拟及实际生产数据对比验证,CO2驱油效果预测图版在中高拟含水气率阶段的预测准确率可达90%以上;当拟含水气率超过90%时,预测精度进一步提高;在某油田区块的应用中,图版预测最终采收率为42%,理论曲线与实际生产动态相吻合,准确率较高,预测效果较好。该研究实现了CO2驱油效果的实时动态评价,为开发方案优化和采收率预测提供了新途径。

关键词: CO2驱油, 物质平衡原理, 驱油预测图版, 拟含水气率

Abstract: Dynamic evaluation of CO2 flooding performance still lacks a sound theoretical basis,which relies heavily on numerical simulation,and is difficult to apply in real time.To solve these problems,a novel characteristic-curve equation and a theoretical dynamic prediction chart for CO2 flooding were established on the basis of material balance principles and mathematical derivation.The results show that the proposed prediction chart overcomes the limitations of traditional methods that rely on fitting field data and lack physical-mechanism support.It can quantitatively characterize the mathematical functional relationships among key parameters and,together with the theoretical chart,realize real-time dynamic evaluation and prediction of CO2 flooding performance.Validation against numerical simulation results and actual production data indicates that,during the medium-to-high pseudo water-cut gas-rate stage,the prediction accuracy of the chart exceeds 90%.When the pseudo water-cut gas rate is greater than 90%,the prediction accuracy is further improved.In an application to a block of a certain oilfield,the chart predicts an ultimate recovery factor of 42%;the theoretical curve is in good agreement with the actual production performance,showing relatively high accuracy and satisfactory predictive capability.This study realizes real-time dynamic evaluation of CO2 flooding performance and provides a new approach for development scheme optimization and recovery prediction.

Key words: CO2 flooding, material balance principle, oil displacement prediction chart, pseudo water-cut gas rate

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