Rock grain-scale mechanical properties influencing hydraulic fracturing using Hydro-GBM approach

Kong, Lie; Gamage, Ranjith Pathegama; Li, Bing Q.; Song, Yuqi

doi:10.1016/j.engfracmech.2021.108227

Cited by 26 publications

(6 citation statements)

References 72 publications

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“…Undoubtedly, from the morphological perspective, three-dimensional models provide more realistic simulations of specimens, and their effects are closer to those of real experiments [15,16]. However, compared to three-dimensional models, two-dimensional models of the same size are denser, the extension of the model cracks is more intuitive, and the model generation and calculation processes are faster.…”

Section: Introductionmentioning

confidence: 94%

Investigating the Influence of Joint Angles on Rock Mechanical Behavior of Rock Mass Using Two-Dimensional and Three-Dimensional Numerical Models

Zhao,

Zhang

et al. 2023

Processes

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Numerical testing is an ideal testing method in the research on the mechanical behaviors of jointed rock. However, there are few systematic studies focused on the comparison between the two-dimensional (2D) and the three-dimensional (3D) simulation effects on rock mechanical behaviors, particularly those of jointed rock. In this paper, a particle flow model was established by utilizing PFC2D and PFC3D to represent the rock materials, and the rock (especially jointed rock) mechanical behaviors (uniaxial compressive strength UCS, tensile strength TS, crack initiation stress level Kσ, and the pattern of crack initiation) between 2D and 3D models were compared and analyzed. As expected, the result shows that the UCS and TS showed an increasing tendency with the increase in the joint angle (β) for both the 2D and the 3D models, and the strength of the 3D model was less than that of the 2D model under uniaxial compression but was greater than that of the 2D model under uniaxial tension. The crack initiation and Kσ of the specimens were essentially the same for the 2D and 3D models, and the tensile stresses are more concentrated than the compressive stresses before the failure of the specimen; the uniaxial tensile failure more closely approached abrupt failure than the uniaxial compression failure. The tensile cracks were often initiated at the tips of the joints for both the 2D and 3D models, but they were initiated in the middle of the joints when β was low (β = 0° and β = 15° in both the 2D and 3D models) under uniaxial compression and when β reached 90° under uniaxial tensile. The test results were validated and further analyzed with mathematical analysis. This study has relative referential value to experiments on jointed rock and to analysis of the instability fractures of engineering rock mass.

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Section: Introductionmentioning

confidence: 94%

Investigating the Influence of Joint Angles on Rock Mechanical Behavior of Rock Mass Using Two-Dimensional and Three-Dimensional Numerical Models

Zhao,

Zhang

et al. 2023

Processes

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“…Limited by equipment and experimental conditions, the basic evaluation of shale fracturing is currently completed with dry samples, and the evolution laws of structural parameters of shale in the process of solid-liquid reaction cannot be obtained. Kong et al [31,32] discussed hydraulic fracturing considering rock internal heterogeneity and the strength difference between rock base material and the weak layers. Among the indicators in shale evaluation, structural strength is one of the key shale physical properties, and it directly determines the damage mechanism and fracture pattern of shale.…”

Section: Measurement Of Brinell Hardness During Shale Softeningmentioning

confidence: 99%

Study on Postfrac Softening Mechanism of Deep Marine Shale Reservoir in South Sichuan Basin

Zhou

Duan

He³

et al. 2023

Geofluids

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Shale softening is an important factor affecting fracturing effect. Through the Brinell hardness measurement of deep marine shale reservoir in South Sichuan Basin, the softening mechanism of shale after fracturing is explored. Through laboratory test, the key parameters of shale Brinell hardness measurement are proposed as follows: indenter size 5 mm, loading force 613 N, 1226 N, and 2452 N, and holding time > 10 s . It is determined that the content of quartz and clay is the main factor controlling the Brinell hardness of dry shale samples, and the mineral composition, microstructure, and fluid system jointly affect the shale softening process. The results show that (1) the marine shale in the South Sichuan Basin softens obviously, with the Brinell hardness decrease by more than 50%, (2) microfracture propagation and clay hydration expansion accelerate the shale softening process, leading to the decreased porosity and the increased number of micro-pores, and (3) the softening process is different between middeep shale and deep shale, with the latter characterized by high initial hardness and low softening rate.

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“…The micromechanical behavior of rocks under diverse loading conditions is paramount in several engineering fields, such as civil engineering, mining, and petroleum extraction, prompting thorough investigations into the intricate physical processes involved [1,2]. Crystalline rocks, often employed in numerous engineering endeavors, exhibit mesoscale heterogeneity predominantly influenced by the spatial arrangement and interlocking of mineral constituents.…”

Section: Introductionmentioning

confidence: 99%

Meso-mechanical behavior of crystalline rocks: An image-based discrete element method

Pan,

Zhao,

Chen

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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This research examines the meso-mechanical behavior of rock materials under various loading conditions, with a focus on the influence of mesoscale heterogeneity in crystalline rock specimens. Traditional approaches often rely on a limited set of statistical parameters for constructing numerical models, failing to capture the complex mesoscale heterogeneities integral to rock mechanics. To overcome this limitation, the study utilizes an advanced image-processing technique to accurately identify mineralogical features within rock microstructures. The extracted mineralogical data were then integrated into a discrete element method (DEM) model to explore the mesoscale mechanical responses of crystalline rocks. The results of the simulations indicated that mesoscale heterogeneities play a critical role in stress concentration localization, which in turn dictates the direction of fracture propagation and leads to a sophisticated interaction among various fracture pathways.

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Rock grain-scale mechanical properties influencing hydraulic fracturing using Hydro-GBM approach

Cited by 26 publications

References 72 publications

Investigating the Influence of Joint Angles on Rock Mechanical Behavior of Rock Mass Using Two-Dimensional and Three-Dimensional Numerical Models

Investigating the Influence of Joint Angles on Rock Mechanical Behavior of Rock Mass Using Two-Dimensional and Three-Dimensional Numerical Models

Study on Postfrac Softening Mechanism of Deep Marine Shale Reservoir in South Sichuan Basin

Meso-mechanical behavior of crystalline rocks: An image-based discrete element method

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