A new method to test rock abrasiveness based on physico-mechanical and structural properties of rocks

Oparin, V. N.; Tanaino, A. S.

doi:10.1016/j.jrmge.2014.12.004

Cited by 18 publications

(4 citation statements)

References 3 publications

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“…The abrasiveness of different types of rocks is calculated according to formula (36). Combined with the traditional experience of measuring abrasiveness by the internal friction angle at drilling sites [22] , a previously proposed classification scheme of rock abrasiveness is used to divide rocks into seven grades according to abrasiveness. The classification methods used are shown in Table 2.…”

Section: Mg CMmentioning

confidence: 99%

Prediction of formation-PDC bit abrasiveness based on the fractal dimension of a rock surface

Wang,

Li,

et al. 2024

Preprint

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During rock drilling, the drill bit will wear as it breaks the rock. However, there is no uniform grading standard for rock abrasiveness. To solve this problem, the wear mechanism of a PDC bit and a formation is analyzed in depth, and an abrasiveness evaluation method based on the fractal dimension of the rock surface topography is established. Initially, a three-dimensional digital model is generated from a SEM image post-drilling, followed by an evaluation of the rock surface's irregularities using an adapted W-M function to ascertain its fractal dimensionality. Then, the microcontact characteristics of the contact surface between the formation and the PDC bit are analyzed, and the distribution of the microconvex contact points of the two-body friction pair in a region is obtained. Because the sliding friction between the drill bit and the rock produces a large amount of heat, according to the contact area formula of the friction surface and heat conduction theory, the temperature rise process and temperature distribution of the formation drill bit under the condition of sliding friction are revealed, and the real contact area between the formation and the drill bit within a certain temperature range is obtained. Finally, the evaluation index of rock abrasiveness under sliding conditions is established by using the wear weight loss of the rock cutting tool per unit volume as the index of rock abrasiveness, and the model is verified by a microdrilling experiment. The research in this paper is highly important for improving the rock breaking efficiency and bit service life during drilling.

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Section: Mg CMmentioning

confidence: 99%

Prediction of formation-PDC bit abrasiveness based on the fractal dimension of a rock surface

Wang,

Li,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The abrasiveness of different types of rocks is calculated according to formula ( 37 ). Combined with the traditional experience of measuring abrasiveness by the internal friction angle at drilling sites 23 , a previously proposed classification scheme of rock abrasiveness is used to divide rocks into seven grades according to abrasiveness. The classification methods used are shown in Table 2 .…”

Section: Evaluation Index Of Formation Abrasiveness Based On the Frac...mentioning

confidence: 99%

Prediction of formation abrasiveness under the action of a PDC bit based on the fractal dimension of a rock surface

Wang,

Li,

et al. 2024

Sci Rep

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During rock drilling, a drill bit will wear as it breaks the rock. However, there is no uniform grading standard for rock abrasiveness. To solve this problem, the wear mechanisms of a polycrystalline diamond compact (PDC) bit and the formation it is drilling into are analyzed in depth, and an abrasiveness evaluation method based on the fractal dimension of the rock surface topography is established. Initially, a three-dimensional digital model is generated from a scanning electron microscope image of the rock after drilling; next, an evaluation of the irregularities on the rock surface is performed using an adapted Weierstrass–Mandelbrot (W-M) function to ascertain the fractal dimensionality. Then, the microcontact characteristics of the contact surface between the formation and the PDC bit are analyzed, and the distribution of the microconvex contact points of the two-body friction pair in a region is obtained. Because the sliding friction between the drill bit and the rock produces a large amount of heat, according to the contact area formula of the friction surface and heat conduction theory, the temperature rise and overall temperature distribution of the formation and PDC bit under the condition of sliding friction are revealed, and the real contact area between the formation and the drill bit within a certain temperature range is obtained. Finally, the evaluation index of rock abrasiveness under sliding conditions is established by adopting the wear weight loss of the rock cutting tool per unit volume as the index of rock abrasiveness, and the model is verified by a microdrilling experiment. The research in this paper is highly important for improving the rock-breaking efficiency and bit service life during drilling.

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“…The ability of the rock to wear the drill bit is defined as the rock abrasiveness (Thuro and Käsling 2010). However, due to the complexity of the problem, there is still no universally accepted determination method and grading index of rock abrasiveness in oil drilling formations (Tanaino 2015;Oparin and Tanaino 2015). The specific energy consumption of rock broken by the PDC bit can reflect the downhole working conditions and the wear of the drill bit (Atici and Ersoy 2009).…”

Section: Introductionmentioning

confidence: 99%

Abrasiveness evaluation of complex strata based on PDC special energy consumption

Zhang¹,

Wang

Liu³

et al. 2021

J Petrol Explor Prod Technol

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The rock abrasiveness is determined with various methods, which results in no uniform standard formed. In order to predict the PDC bit wear and the abrasiveness of complex strata, the force analysis of the PDC broken rock was carried out, and the bit axial load and torque were obtained, respectively. Then, the calculation model of PDC special energy consumption is deduced. Combining the typical distribution patterns of different strata, the specific energy prediction model of complex strata is established. The wear coefficient of PDC is obtained by the relationship between the triaxial compressive strength of rock and the specific energy of rock breaking, and the grading coefficient and grading standard of abrasiveness of the composite formation are derived, which led to the grading coefficient and grading standard of complex strata abrasiveness. The field test of a well in the north of Songliao Basin verified the rationality and effectiveness of the abrasiveness grading standards and provided the basis for the selection and design of the bit.

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A new method to test rock abrasiveness based on physico-mechanical and structural properties of rocks

Cited by 18 publications

References 3 publications

Prediction of formation-PDC bit abrasiveness based on the fractal dimension of a rock surface

Prediction of formation-PDC bit abrasiveness based on the fractal dimension of a rock surface

Prediction of formation abrasiveness under the action of a PDC bit based on the fractal dimension of a rock surface

Abrasiveness evaluation of complex strata based on PDC special energy consumption

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