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基于数字孔隙网络模型的剩余油微观分布模式及开采方法研究

Study on the Microscopic Distribution Pattern of Residual Oil and Exploitation Methods Based on a Digital Pore Network Model.

作者信息

Sun Xianda, Qin Xudong, Xu Chengwu, Zhao Ling, Zhang Huili

机构信息

State Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing 163318, China.

College of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China.

出版信息

Polymers (Basel). 2024 Nov 22;16(23):3246. doi: 10.3390/polym16233246.

Abstract

With the persistent rise in global energy demand, the efficient extraction of petroleum resources has become an urgent and critical issue. Polymer flooding technology, widely employed for enhancing crude oil recovery, still lacks an in-depth understanding of the distribution of residual oil within the microscopic pore structure and the associated displacement mechanisms. To address this, a digital pore network model was established based on mercury intrusion experimental data, and pore structure visualization was achieved through 3Dmax software, simulating the oil displacement process under various polymer concentrations, molecular weights, and interfacial tension conditions. The findings reveal that moderately increasing the polymer concentration (from 1000 [mg/L] to 2000 [mg/L]) improves the recovery factor during polymer flooding by approximately 1.45%, effectively emulsifying larger masses of residual oil and reducing the proportion of throats with high oil saturation. However, when the concentration exceeds 2500 [mg/L], the dispersion of residual oil is hindered, and the enhancement in displacement efficiency becomes marginal. Increasing the molecular weight from 12 million to 16 million and subsequently to 24 million elevates the recovery factor by approximately 1.07% and 1.37%, respectively, reducing clustered residual oil while increasing columnar residual oil; high molecular weight polymers exhibit a more significant effect on channels with high oil saturation. Lowering the interfacial tension (from 30 [mN/m] to 0.005 [mN/m]) markedly enhances the binary flooding recovery factor, with the overall recovery reaching 71.72%, effectively reducing the residual oil within pores of high oil saturation. The study concludes that adjusting polymer concentration, molecular weight, and interfacial tension can optimize the microscopic distribution of residual oil, thereby enhancing oil displacement efficiency and providing a scientific foundation for further improving oilfield recovery and achieving efficient reservoir development.

摘要

随着全球能源需求持续上升,石油资源的高效开采已成为一个紧迫且关键的问题。广泛用于提高原油采收率的聚合物驱油技术,仍缺乏对微观孔隙结构内残余油分布及相关驱替机制的深入理解。为解决这一问题,基于压汞实验数据建立了数字孔隙网络模型,并通过3Dmax软件实现孔隙结构可视化,模拟了不同聚合物浓度、分子量和界面张力条件下的驱油过程。研究结果表明,适度提高聚合物浓度(从1000[mg/L]提高到2000[mg/L])可使聚合物驱期间采收率提高约1.45%,有效乳化大量残余油并降低高含油饱和度喉道的比例。然而,当浓度超过2500[mg/L]时,残余油的分散受到阻碍,驱替效率的提高变得微不足道。将分子量从1200万提高到1600万,随后提高到2400万,采收率分别提高约1.07%和1.37%,减少了簇状残余油,同时增加了柱状残余油;高分子量聚合物对高含油饱和度通道的影响更为显著。降低界面张力(从30[mN/m]降至0.005[mN/m])显著提高了二元驱采收率,总采收率达到71.72%,有效减少了高含油饱和度孔隙内的残余油。该研究得出结论,调整聚合物浓度、分子量和界面张力可优化残余油的微观分布,从而提高驱油效率,为进一步提高油田采收率和实现高效油藏开发提供科学依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07df/11644520/ccc82f2a54e3/polymers-16-03246-g001.jpg

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