基于在钻井工程参数时的采伐,预测紧密的砂岩水库中的多孔性
Dongyang Xue1, Ligang Zhang2, Zhaoyi Liu1
1School of Petroleum Engineering, Northeast Petroleum University, Daqing, China.
Scientific reports
|April 24, 2025
概括
这项研究引入了一种新的实时方法,使用物理指数预测钻探期间的水库多孔度,提高了石油和天然气勘探的效率. 开发的技术显示出高精度,有助于在勘探操作中的关键决策.
科学领域:
- 地质地质地质地质地质地
- 石油工程是石油工程中的一个.
- 钻井工程 钻井工程
背景情况:
- 储水池的多孔性对于石油和天然气的勘探和开发至关重要.
- 目前用于透度获取的方法 (核心测试,记录) 在钻探过程中缺乏实时定量评估.
- 这种限制阻碍了及时有效地获取多孔度数据.
研究的目的:
- 开发一种实时定量预测方法,用于密集的砂岩水库中的水库孔隙.
- 研究钻探参数与水库物理特征之间的关系.
- 建立基于钻井和记录工程参数的孔隙性预测模型.
主要方法:
- 建模和岩石破碎模拟的5叶和6叶多晶钻石紧型 (PDC) 位.
- 对钻探参数的分析,如透率 (ROP),扭矩和机械特异能 (MSE).
- 开发一个物理索引来反映形成特征,独立于比特类型.
主要成果:
- ROP,扭矩和MSE受比特类型的影响,不适合直接预测孔径.
- 物理指数显示不同PDC位的弹性模量与一致的对数关系.
- 通过使用弹性模量作为中间体,在孔隙度和物理指数之间建立了力量定律关系.
结论:
- 开发的物理索引有效地消除了位的影响,准确地反映了形成特征.
- 实时孔隙性预测方法在交叉验证中达到了超过91%的一致性,在勘探井中平均达到了85%的一致性.
- 这种方法为勘探决策提供了及时,高效和准确的支持.
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