一套天然气和液体水平数据集,用于预测中国油田产量
Yanlei Wang1, Jian Lian2, Chengjiang Li3
1Shandong University of Political Science and Law, Jinan, 250357, China.
Scientific data
|June 23, 2025
概括
这项研究引入了一个新的数据集,以改善天然气生产预测和流体积累估计. 分析井井数据有助于优化开采并减轻水资源的流失.
科学领域:
- 石油工程是石油工程中的一个.
- 地质工程是地质工程.
- 能源资源管理 能源资源管理
背景情况:
- 天然气对经济至关重要,但水的积累阻碍了有效的开采.
- 优化天然气生产需要准确预测气体输出和流体积累.
研究的目的:
- 为了提高天然气生产的预测准确度.
- 改进对天然气井中相关流体积累的估计.
- 使用新型数据集开发精细的生产策略.
主要方法:
- 编制了来自山西形成,内蒙古的多个井的综合数据集.
- 收集的数据包括井头压力,外压力,甲醇注入量和生产量 (天然气,水,石油).
- 分析了生产和运营参数中的时间趋势和异常.
主要成果:
- 该数据集涵盖2010年3月17日至2024年4月15日的时间.
- 确定了影响天然气生产和流体积累的关键参数.
- 建立了基于数据的气井性能优化的基础.
结论:
- 准确的预测和流体估计对于高效的天然气开采至关重要.
- 开发的数据集和分析方法有助于缓解操作挑战.
- 这项研究支持天然气生产和资源管理的优化策略.
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