有边缘和底层水库的天然气储库的产量分配优化,基于并行结构的遗传算法
Youyou Cheng1, Xiang Luo2, Pengyu Chen3
1Xi'an Shiyou University, School of Earth Science and Engineering, Xi'an 710065, China.
ACS omega
|July 1, 2024
概括
优化气井分配对于高效的水库开发至关重要. 这项研究引入了一种新的并行遗传算法 (GA),以改善天然气井生产和经济效益,有效地管理水流入挑战.
科学领域:
- 石油工程是石油工程中的一个.
- 储水库工程 储水库工程
- 计算地质科学计算地质科学
背景情况:
- 气体储压力下降导致水流入,阻碍开发效率和恢复.
- 优化气井分配对于最大限度地提高生产和经济可行性至关重要.
研究的目的:
- 开发和验证一种用于优化气井分配的新方法,考虑到动态储条件.
- 通过净现值 (NPV) 分析,加强对天然气井生产的经济评估.
主要方法:
- 利用垂直井生产率方程来实现双相流动.
- 开发了一个并行结构的遗传算法 (GA),集成水库流入,井口和表面设施动态.
- 将模型应用于阿穆达里亚天然气库中的B-21井.
主要成果:
- 对累积天然气产量和水/气比的数值模拟达成90%以上的一致性.
- 新的GA方法减少了72.4%的代 (~2100年),显著提高了合率.
- 通过优化井分配,证明了水流的有效管理.
结论:
- 拟议的平行GA提供了一种更有效,更准确的气井分配优化方法.
- 该模型成功地解决了气体储库中水流入所带来的挑战.
- 这种方法增强了决策的可持续天然气储备开发.
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