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微调滤饼密封性能:粒径在赤铁矿加重水基钻井液中的作用

Fine-Tuning Filter Cake Sealing Performance: The Role of Particle Size in Hematite Weighted Water-Based Drilling Fluid.

作者信息

Al Jaberi Jaber, Bageri Badr, Otain Waleed, Alsaleem Anas, Adebayo Abdulrauf Rasheed

机构信息

Center for Integrative Petroleum Research, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

Department of Petroleum Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

出版信息

ACS Omega. 2024 May 30;9(23):25084-25093. doi: 10.1021/acsomega.4c02352. eCollection 2024 Jun 11.

Abstract

Three hematite grades with different particle sizes (i.e., large, medium, and small) were evaluated, and the selection criterion was median particle size. The investigation involves the following stages: rheology, filtration, and filter cake formation. Different rheological models including Bingham, Power law, Herschel-Bulkley, and Robertson-Stiff were implemented to find the optimum model for characterizing fluid behavior. The results showed that medium-sized hematite particles produced the highest filtration volume, filter cake thickness, and filter cake permeability. These results were confirmed when a varied pore distribution filtration medium was used. The NMR results showed the same trend where the highest reduction in core porosity was found when a medium-size particle distribution was used. There is a minimum alteration in the rheological behavior of the drilling fluid as the particle size was varied, and the drilling fluids showed a shear-thinning behavior and were best described by the Herschel-Bulkley model. Particle size ratio emerges as a key factor for controlling and enhancing the filtration properties and filter cake characteristics.

摘要

对三种不同粒径(即大、中、小)的赤铁矿品位进行了评估,选择标准为中位粒径。研究包括以下阶段:流变学、过滤和滤饼形成。采用了包括宾汉、幂律、赫歇尔-巴克利和罗伯逊-斯蒂夫等不同的流变模型,以找到表征流体行为的最佳模型。结果表明,中等粒径的赤铁矿颗粒产生的过滤体积、滤饼厚度和滤饼渗透率最高。当使用孔隙分布不同的过滤介质时,这些结果得到了证实。核磁共振结果显示了相同的趋势,即使用中等粒径颗粒分布时,岩心孔隙度的降低最大。随着粒径的变化,钻井液的流变行为变化最小,钻井液表现出剪切变稀行为,用赫歇尔-巴克利模型描述最佳。粒径比成为控制和提高过滤性能及滤饼特性的关键因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f7e/11170740/4f197e75beb4/ao4c02352_0001.jpg

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