裂缝性礁灰岩油藏微粒充填控水效果定量评估方法研究
Research on quantitative evaluation method of the water control technology with particle filling in fracture for reef limestone reservoir
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- 引用格式:
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冯沙沙,张晓林,戴建文,谢明英,缪云,肖连伟.裂缝性礁灰岩油藏微粒充填控水效果定量评估方法研究[J].天然气与石油,2024,42(3):117-123.doi:10.3969/j.issn.1006-5539.2024.03.017
FENG Shasha, ZHANG Xiaolin, DAI Jianwen, XIE Mingying, MIAO Yun, XIAO Lianwei.Research on quantitative evaluation method of the water control technology with particle filling in fracture for reef limestone reservoir[J].Natural Gas and Oil,2024,42(3):117-123.doi:10.3969/j.issn.1006-5539.2024.03.017
- DOI:
- 10.3969/j.issn.1006-5539.2024.03.017
- 作者:
- 冯沙沙 张晓林 戴建文 谢明英 缪云 肖连伟
FENG Shasha, ZHANG Xiaolin, DAI Jianwen, XIE Mingying, MIAO Yun, XIAO Lianwei
- 作者单位:
- 中海石油(中国)有限公司深圳分公司, 广东 深圳 518054
CNOOC China Limited, Shenzhen Branch, Shenzhen, Guangdong, 518054, China
- 关键词:
- 礁灰岩;天然裂缝;控水;微粒充填;定量评估
Reef limestone; Natural fracture; Water control; Particle filling; Quantitative evaluation
- 摘要:
L油藏为天然裂缝十分发育的强底水驱礁灰岩油藏,经20多年开发已整体处于特高含水期,水平井投产初期高含水。为改善开发效果,近几年采用自行研发的微粒充填控水工艺控水增油成效显著。为定量评估增产油量,在微粒充填控水工艺已有的机理认识基础上,通过建立模拟井区裂缝分布的控水井双重介质模型、表征裂缝充填过程的数学模型,经迭代拟合井口泵注压力建立裂缝充填动态模拟数值模型,形成了控水和未控水井生产动态预测方法,实现了控水生产井累增油量定量预测。经现场井例验证,预测结果与实际生产动态吻合较好。研究成果为微粒充填控水工艺大规模推广应用提供了依据。
The L reservoir is a reef limestone formation characterized by highly developed natural fractures and driven by strong bottom water. The reservoir has been in the ultra-high water cut stage after 20 years’ development, with horizontal wells initially producing at elevated water cuts. In recent years, to enhance development efficiency, a proprietary water control technology utilizing particle filling within fractures has been developed, yielding significant results in water control and oil production enhancement. To quantitatively evaluate incremental cumulative oil production, a methodology has been established based on the existing understanding of the water control mechanism. This involves developing a dual-porosity model to simulate fracture distribution around the wellbore and a mathematical model to characterize the process of particle infilling in fractures. Through iterative fitting of the wellhead pumping pressure, a dynamic numerical model for fracture infilling simulation has been developed, enabling the prediction of both controlled and uncontrolled water well production dynamics. This has allowed for the quantitative prediction of incremental cumulative oil production in water control wells. The predicting results are in accordance with the production performance after field tests, providing important basis for widespread application of the water control technology with particle filling.