渤海渤中19-6凝析气田气窜判别标准流程及应用研究
Study on standard procedure and application of gas channeling discrimination in the Bozhong 19-6 condensate gas field, Bohai sea
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- 引用格式:
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蒋维军,王海波,乐平,杨志成,汪周华,张彩旗.渤海渤中19-6凝析气田气窜判别标准流程及应用研究[J].天然气与石油,2026,44(3):49-60.doi:10.3969/j.issn.1006-5539.2026.03.007
Jiang Weijun, Wang Haibo, Yue Ping, Yang Zhicheng, Wang Zhouhua, Zhang Caiqi.Study on standard procedure and application of gas channeling discrimination in the Bozhong 19-6 condensate gas field, Bohai sea[J].Natural Gas and Oil,2026,44(3):49-60.doi:10.3969/j.issn.1006-5539.2026.03.007
- DOI:
- 10.3969/j.issn.1006-5539.2026.03.007
- 作者:
- 蒋维军1 王海波2 乐平2 杨志成1 汪周华2 张彩旗1
Jiang Weijun1, Wang Haibo2, Yue Ping2, Yang Zhicheng1, Wang Zhouhua2, Zhang Caiqi1
- 作者单位:
- 1. 中海石油(中国)有限公司天津分公司, 天津 300459; 2. 西南石油大学石油与天然气工程学院, 四川 成都 610500
1. CNOOC China Ltd., Tianjin Branch, Tianjin, 300459, China; 2. School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu, Sichuan, 610500, China
- 关键词:
- 潜山裂缝;凝析气藏;循环注气;气窜判别;标准流程
Buried-hill fracture; Condensate gas reservoir; Cyclic gas injection; Gas channeling discrimination; Standard process
- 摘要:
- 针对渤海潜山裂缝型高含凝析油气藏循环注气开发中气窜易发、判别多解且缺乏专属阈值的技术瓶颈,以渤中196凝析气田试验区为对象,旨在实现气窜的精准识别与分级防控。通过整合生产动态数据，油气藏流体压力、体积、温度实验数据与数值模拟结果,构建“基础层—核心验证层—趋势预判层—决策应用层”四层递进式气窜判别标准流程,结合气窜率与凝析油产量响应关系量化单井气窜状况分级,并运用层次分析法优化判别指标权重。研究结果表明:建立了专属判别阈值体系,气油比变化率预警值为A4H井6%、A6井16%、A11井10%(整体不超20%),C+5组分变化率判别阈值为-45%,气窜分级明确(如A4H井气窜率Ⅰ类≤3%、Ⅱ类3%~26.09%、Ⅲ类>26.09%);准确预测未来15年3口潜在气窜井气窜起始时间(A4H井2027年6月、A6井2031年6月、A11井2029年6月)及临界注气量(A2井2.8×108 m3、A9H井3.98×108 m3);全区数值模拟拟合精度达98.3%,实现气窜定性识别到定量预警的跨越。研究成果契合潜山裂缝型高含凝析油气藏“低孔低渗、裂缝发育、高含凝析油”的独特特征,为同类气藏循环注气开发的气窜治理建立标准化技术体系,对提升海上凝析气藏开发效益具有重要推广价值。
To address the technical challenges in cyclic gas injection development of Bohai buried-hill fractured high-condensate oil and gas reservoirs—namely, high susceptibility to gas channeling, non-unique diagnosis, and the absence of field-specific thresholds—this study focuses on the pilot area of the Bozhong 19-6 gas field to achieve accurate identification and graded prevention and control of gas channeling. By integrating production dynamic data, PVT experimental data, and numerical simulation results, a four-tier progressive standard workflow for gas channeling identification is established, comprising a basic data layer, a core validation layer, a trend prediction layer, and a decision-application layer. The workflow quantifies single-well gas channeling severity through the relationship between gas channeling ratio and condensate oil production response, and optimizes diagnostic indicator weights using the Analytic Hierarchy Process(AHP). The results indicate that a field-specific threshold system is established, with early-warning thresholds for gas-oil ratio change rate of 6% for Well A4H, 16% for Well A6, and 10% for Well A11(overall not exceeding 20%); the diagnostic threshold for C+5 component change rate is -45%; and gas channeling grades are explicitly defined(e. g., for Well A4H, Class Ⅰ: gas channeling ratio ≤3%, Class Ⅱ:3%~26.09%, Class Ⅲ:>26.09%); gas channeling initiation times over the next June 15 years are accurately predicted for three potentially affected wells(Well A4H:2027 June, Well A6:2031 June, Well A11:2029 June), along with critical injected gas volumes(Well A2:2.8×108 m3, Well A9H:3.98×108 m3); and field-wide numerical simulation achieves a history-matching accuracy of 98.3%, enabling a transition from qualitative identification to quantitative early warning of gas channeling. The proposed framework is well aligned with the distinctive characteristics of buried-hill fractured condensate oil and gas reservoirs—low porosity and permeability, well-developed fractures, and high condensate content—and establishes a standardized technical system for gas channeling mitigation in cyclic gas injection development of analogous reservoirs, with significant potential to enhance the development efficiency of offshore condensate gas fields.
