Influence of bedding structure on stress-induced elastic wave anisotropy in tight sandstones

Li, Xiaying; Lei, Xinglin; Qi, Li; Chen, Dianguo

doi:10.1016/j.jrmge.2020.06.003

Cited by 16 publications

(4 citation statements)

References 40 publications

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“…The model is able to achieve high accuracy of slope analysis, and thereby adapt to varying structural scenarios. Various specialized methods for slope analysis can be observed from [21,22,23,24,25,26], wherein volumetric behavior of rock salt, electromagnetic radiation mechanism of rock fracturing, uniaxial compressive strength of sandstone, influence of bedding structure, spectral induced polarization, bender element models, and pre-flawed sandstones are studied. These models assist in evaluation of slopes in open cast mines that are located near stone beds, thereby improving their scalability.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Das¹,

Pani²,

Samal³

et al. 2022

IJACSA

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Slope stability has been a matter of concern for most geologists, mainly due to the fact that unstable slopes cause a greater number of accidents, which in turn reduces efficiency of mining operations. In order to reduce the probability of these slope instabilities, methods like tension crack mapping, inclinometer measurements, time domain reflectometry, borehole extensometers, piezometer, radar systems and image processing systems are deployed. These systems work efficiently for single site slope failures, but as the number of mining sites increase, dependency of one site slope failure on nearby sites also increases. Current systems are not able to capture this data, due to which the probability of accidents at open cast mines increases. In order to reduce this probability, a high efficiency internet of things (IoT) based continuous slope monitoring and control system is designed. This system assists in improving the efficiency of real-time slope monitoring via usage of a sensor array consisting of radar, reflectometer, inclinometer, piezometer and borehole extensometer. All these measurements are given to a high efficiency machine learning classifier which uses data mining, and based on its output suitable actions are taken to reduce accidents during mining. This information is dissipated to nearby mining sites in order to inform them about any inconsistencies which might occur due to the slope changes on the current site. Results were simulated using HIgh REsolution Slope Stability Simulator (HIRESSS), and an efficiency improvement of 6% is achieved for slope analysis in open cast mines, while probability of accident reduction is increased by 35% when compared to traditional non-IoT based approach.

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Section: Literature Reviewmentioning

confidence: 99%

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Das¹,

Pani²,

Samal³

et al. 2022

IJACSA

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“…where E is the elastic modulus of the isotropic plane (corresponding to the sample with a dip angle of 90°) and E ′ and G ′ are the elastic modulus and shear modulus of the plane perpendicular to the isotropic plane (corresponding to the sample with a dip angle of 0°). By a transformation for equation (5), one obtains In this study, the mechanical parameters of the isotropic plane and its perpendicular plane are obtained for conducting uniaxial and triaxial compression tests. Based on equation 6, the relationship between the reciprocal of elastic modulus of plane with any angle to the isotropic plane (1/Eα) and sin 2 α can be drawn.…”

Section: Materials Parameters Of Approximate Isotropic Materialsmentioning

confidence: 99%

“…In China, under the situation of increasing natural gas supply, tight sandstone gas has become one focus of developing nonconventional/unconventional natural gas due to its wide distribution and rich reserves [1][2][3][4][5]. However, as a type of reservoirs with low porosity and low permeability, technological measures of increasing produciton must be taken to achieve an ideal capacity for the tight sandstone gas well [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Anisotropic Characteristics and Engineering Application of Tight Sandstone

Wei¹,

Liu

Hou

2021

Advances in Materials Science and Engineering

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The anisotropy of tight sandstone (a type of unconventional gas reservoirs) is a significant factor influencing the characteristics of cracks network under hydrofracturing; thus, it also has a large influence on the final production capacity of the gas reservoirs. To improve the understanding of anisotropy degree and mechanical properties of the tight sandstone of Xujiahe Formation and thus to provide reliable reference for the establishment of hydrofracture model and parameter designing in fracture field, a series of experiments including ultrasonic wave velocity and uniaxial and triaxial compression tests of the tight sandstone samples obtained from Xujiahe Formation with different inclination angles (the angle between sample drilling direction and bedding plane) have been conducted. With the increase of inclination angle, the velocity of the longitudinal wave and elastic modulus both show the tendency of decreasing, whereas the compressive strength shows a “U” shape varying pattern, which is high on sides and low in the middle region. The values of uniaxial compression strength (UCS) are the lowest of sandstone with the inclination angles of 30° and 45°. The fracture patterns are dominant by splitting fracture under uniaxial compression tests. However, shear fracture and dilatancy morphology is the main pattern under triaxial compression test. But the local morphology of the failure surfaces behaves different if the inclination angle is changed. Combining the mechanic theory of transversely isotropic material, the anisotropy parameters of the tight sandstone are analyzed, as well as the influence on the hydrofracturing technology for tight sandstone in the field.

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“…Conventional seismic exploration techniques commonly employ compressional wave sources. To address the limitations of compressional wave reflection energy, the shear waves generated through compressional wave conversion need to be imaged [35,36]. This approach aims to fully utilize the Earth's elastic media to construct comprehensive imaging information of subsurface structures without increasing costs.…”

Section: Introductionmentioning

confidence: 99%

An Application of 3D Cross-Well Elastic Reverse Time Migration Imaging Based on the Multi-Wave and Multi-Component Technique in Coastal Engineering Exploration

Peng,

Cheng,

et al. 2024

JMSE

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Precise surveys are indispensable in coastal engineering projects. The extensive presence of sand in the coastal area leads to significant attenuation of seismic waves within unsaturated loose sediments. As a result, it becomes challenging for seismic waves to penetrate the weathered zone and reach the desired depth with significant amount of energy. In this study, the application of three-dimensional (3D) cross-well elastic reverse time migration (RTM) imaging based on multi-wave and multi-component techniques in coastal engineering exploration is explored. Accurate decomposition of vector compressional (P) and shear (S) waves is achieved through two wavefield decoupling algorithms without any amplitude and phase distortion. Additionally, compressional wave pressure components are obtained, which facilitates subsequent independent imaging. This study discusses and analyzes the imaging results of four imaging strategies under cross-correlation imaging conditions in RTM imaging. The analysis leads to the conclusion that scalarizing vector wavefields imaging yields superior imaging of P- and S-waves. Furthermore, the imaging results obtained through this approach are of great physical significance. In order to validate the efficacy of this method in 3D geological structure imaging in coastal areas, RTM imaging experiments were performed on two representative models. The results indicate that the proposed 3D elastic wave imaging method effectively generates accurate 3D cross-well imaging of P- and S-waves. This method utilizes the multi-wave and multi-component elastic wave RTM imaging technique to effectively leverage the Earth’s elastic medium without increasing costs. It provides valuable information about the distribution of subsurface rock layers, interfaces, and other structures in coastal engineering projects. Importantly, this can be achieved without resorting to extensive excavation or drilling operations. This method addresses the limitations of current cross-well imaging techniques, thereby providing abundant and accurate geological and geophysical information for the analysis and interpretation of 3D geological structures in coastal engineering projects. It has important theoretical and practical significance in real-world production, as well as for the study of geological structures in coastal engineering.

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Influence of bedding structure on stress-induced elastic wave anisotropy in tight sandstones

Cited by 16 publications

References 40 publications

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Experimental Study on the Anisotropic Characteristics and Engineering Application of Tight Sandstone

An Application of 3D Cross-Well Elastic Reverse Time Migration Imaging Based on the Multi-Wave and Multi-Component Technique in Coastal Engineering Exploration

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