Friction Coefficients Calculation via Surface Roughness Characterization for Tight Sedimentary Rocks

被引:0
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作者
Daqi Li
Bin Yang
Junbin Jin
Dawei Liu
Jiping She
Dujie Zhang
机构
[1] State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development,State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
[2] Chengdu University of Technology,School of Petroleum Engineering
[3] Sinopec Research Institute of Petroleum Engineering,undefined
[4] Guangdong University of Petroleum and Chemical Technology,undefined
关键词
Sedimentary rocks; Friction coefficient; Surface roughness; Dip angles; Normal stress;
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中图分类号
学科分类号
摘要
In the drilling and stimulation operations of deep/ultra-deep oil and gas wells, high in situ stress conditions may increase the occurrence probability of rock shear failures. According to Mole-Coulomb laws, the friction coefficient becomes more significant in evaluating borehole instability, faults/natural fractures activation and hydraulic-natural fractures intersection scenarios. This paper proposes a multiscale model to calculate the rock friction coefficients based on the surface properties at different scales. The key parameters of surface properties are obtained from three-dimensional laser scan of friction planes, and the results are verified by the direct shearing and triaxial compression strength tests. For the flat or new-cutting surfaces, the computed basic friction coefficients range of 0.231–0.509, fitting well with the tested values of 0.303–0.437. It also shows that the basic friction coefficients grow in the order of shale, carbonate and tight sandstone, positively associated with the size of the rock sedimentary particles. For the roughness surfaces, the coefficients are computed based on the former basic friction values and the surface asperity dip angles distribution, and the values located in a wide range of 0.541–1.113, also matched well with the measured friction coefficients via direct shearing tests. When the normal stress increase, the rock friction coefficients generally decline, and the values of some shale and dolomite samples can decrease to 0.2, due to the existence of beddings or fracture fillings. The above outcomes may provide useful insights for wellbore instability assessment and hydraulic fracturing optimization.
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页码:9287 / 9298
页数:11
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