全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

带边底水气藏的递减规律认识
The Understanding of Decline Law of Gas Reservoir with Edge or Bottom Water

DOI: 10.12677/APF.2021.111001, PP. 1-8

Keywords: 水驱气,长岩芯实验,水侵,水侵体积系数,采气速度,数值模拟,开发趋势,递减规律,边底水气藏
Water Drive Gas
, Long Core Experiment, Water Invasion, Water Invasion Volume Coefficient, Gas Production Rate, Numerical Simulation, Development Trend, Law of Decline, Edge Bottom Water Gas Reservoir

Full-Text   Cite this paper   Add to My Lib

Abstract:

带边底水气藏,水侵后产能下降快,利用常规方法很难准确预测开发趋势。本文以雅克拉凝析气藏开发实践出发,对气藏递减规律进行了研究,分别采用水侵体积系数法、采气速度法和数值模拟法预测开发趋势。其中水侵体积系数法是本论文首次提出,将微观实验与矿场生产关联到一起,用来定量描述水侵量与气藏递减特征关系。在长岩芯驱替实验中,当注入水驱替体积达到0.35~0.4倍孔隙体积时,天然气采出程度不再增加,表明在水的作用下一部分天然气被封存在孔隙内,难以采出。水侵体积系数法是基于水驱气藏物质平衡方程提出来的,通过物质平衡方程计算出水侵量及水侵体积系数,是长岩芯水驱气实验的宏观表现。经矿场验证,水侵体积系数达到0.35时,气藏边部井相继见水,进入快速递减期。该方法与数值模拟方法、采气速度方法所得结果一致。水侵体积系数法可推广应用到其它水驱气藏,提前预测递减规律,为气藏及早优化调控提供指导。
For gas reservoirs with edge or bottom water, the productivity decreases rapidly after water inva-sion, so it is difficult to accurately predict the development trend by conventional methods. Based on the development practice of Yakela condensate gas reservoir, this paper studies the decline law of gas reservoir, and predicts the development trend by using water invasion volume coefficient method, gas production rate method and numerical simulation method respectively. The water in-vasion volume coefficient method is proposed for the first time in this paper, which is used to quan-titatively describe the relationship between water invasion and gas reservoir decline characteris-tics by combining microscopic experiments with field production. In the long core displacement experiment, when the displacement volume of injected water reaches 0.35~0.4 times of pore vol-ume, the recovery degree of natural gas will not increase any more, indicating that a part of natural gas is sealed in the pores under the action of water, so it is difficult to recover. The water invasion volume coefficient method is proposed based on the material balance equation of water drive gas reservoir. The water influx and water invasion volume coefficient are calculated by the material balance equation, which is the macroscopic performance of long core water drive gas experiment. The field verification shows that when the water invasion volume coefficient reaches 0.35, the gas reservoir edge wells will see water one after another, and enter the fast decreasing period. The re-sults obtained by this method are consistent with those obtained by numerical simulation method and gas production rate method. The water invasion volume coefficient method can be extended to other water drive gas reservoirs to predict the decline law in advance and provide guidance for the early optimization and control of gas reservoirs.

References

[1]  李勇, 李保柱, 胡永乐, 唐明龙, 肖香姣, 张芬娥. 现代产量递减分析在凝析气田动态分析中的应用[J]. 天然气地质科学, 2009, 20(2): 304-308.
[2]  李晓平, 李允, 张烈辉, 刘启国. 水驱气藏气井产量递减分析理论及应用[J]. 天然气工业, 2004, 24(11): 92-93.
[3]  王晓东, 王东旭, 赵宏民. 气井稳产条件影响因素分析[J]. 低渗透油气田, 2000, 5(2): 42-45.
[4]  李继强, 杨棽垚, 戚志林, 严文德, 袁迎中, 黄小亮. 水驱气藏气相阈压梯度预测模型[J]. 天然气工业, 2019, 39(12): 66-73.
[5]  李继强, 胡世莱, 杨棽垚, 雷登生, 徐放. 水驱气藏产水气井产能计算数学模型[J]. 特种油气藏, 2018, 25(5): 89-92.
[6]  孙雷, 闫成海, 潘毅, 等. 长岩芯驱替中不同位置的相渗曲线计算[J]. 西南石油大学学报(自然科学版), 2014, 36(2): 139-144.
[7]  田文忠, 赵华, 孙雷, 易敏. 通过地层水渗吸实验建立水驱气藏气井产量递减模型[J]. 油气地质与采收率, 2006, 13(6): 79-80.
[8]  杨琨, 王怒涛, 张建民. 水驱气藏水侵量及水体参数计算方法研究[J]. 大庆石油地质与开发, 2005, 24(5): 48-50.
[9]  李勇, 张晶, 李保柱, 夏静, 郭凯, 胡云鹏, 王代刚. 水驱气藏气井见水风险评价新方法[J]. 天然气地球科学, 2016, 27(1): 128-133.
[10]  王怒涛, 唐刚, 任洪伟. 水驱气藏水侵量及水体参数计算最优化右[J]. 天然气工业, 2005, 25(5): 75-77.
[11]  郑永建, 段永刚, 魏明强. 水驱气藏生产数据分析方法研究及应用[J]. 西南石油大学学报(自然科学版), 2019, 41(4): 99-106.
[12]  李江涛, 孙凌云, 项效伟, 李润彤, 王海成, 陈芳芳. 水驱气藏水淹风险描述及防控对策[J]. 天然气工业, 2019, 39(5): 79-84.
[13]  邓成刚, 李江涛, 柴小颖, 陈汾君, 杨喜彦, 王海成, 连运晓, 涂加沙. 涩北气田弱水驱气藏水侵早期识别方法[J]. 岩性油气藏, 2020, 32(1): 128-134.
[14]  石兴春, 胡文革. 雅克拉凝析气田高效开发技术与实践[M]. 北京: 中国石化出版社, 2017: 86-88.
[15]  郭春秋, 李方明, 刘合年, 夏朝辉, 刘雄伟, 范海亮, 刘玲莉. 气藏采气速度与稳产期定量关系研究[J]. 石油学报, 2009, 30(6): 908-911.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413