In the new (No.3, 2024) issue of the journal "Mining Science and Technology" (Russia) you can read the articles:
π Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118
π Serebryakov E.V., Zaytsev I.A., Potaka A.A. Assessment of rating parameters of the rock mass conditions at Udachny underground mine deep levels. Mining Science and Technology (Russia). 2024;9(3):206-220. https://doi.org/10.17073/2500-0632-2023-12-192
π Tomskiy K.O., Ivanova M.S., Nikitin E.D., Rudykh L.A. Application of hydrodynamic simulation on the basis of a composite model to improve the efficiency of gas-condensate reservoir development. Mining Science and Technology (Russia). 2024;9(3):221-230. https://doi.org/10.17073/2500-0632-2023-10-176
π Aleksandrova Π’.N., Afanasova A.V., Aburova V.A. βInvisibleβ noble metals in carbonaceous rocks and beneficiation products: feasibility of detection and coarsening. Mining Science and Technology (Russia). 2024;9(3):231-242. https://doi.org/10.17073/2500-0632-2024-03-229
π Rudenko V.A. Assessment of readiness of auxiliary mine rescue teams in coal mines. Mining Science and Technology (Russia). 2024;9(3):243-249. https://doi.org/10.17073/2500-0632-2024-03-234
π Gendler S.G., Kryukova M.S., Alferova E.L. Investigation of thermodynamic parameters of the air environment in subway lines with single-track and double-track tunnels. Mining Science and Technology (Russia). 2024;9(3):250-262. https://doi.org/10.17073/2500-0632-2024-02-223
π Ivanova L.A., Prosekov A.Yu., Ivanov P.P., Mikhaylova E.S., Timoshchuk I.V., Gorelkina A.K. Assessment of the efficiency of wastewater treatment from coal enterprises for suspended solids using various filtering materials. Mining Science and Technology (Russia). 2024;9(3):263-270. https://doi.org/10.17073/2500-0632-2024-03-227
π Golik V.I., Razorenov Yu.I., Valiev N.G., Gavrina O.A. Environmentally sound geotechnologies for leaching metals from polymetallic ore processing wastes and wastewater. Mining Science and Technology (Russia). 2024;9(3):271-282. https://doi.org/10.17073/2500-0632-2023-11-184
π Zhukov S.A. Substantiation of environmental safety in metro facility operations considering hydrogeological risks. Mining Science and Technology (Russia). 2024;9(3):283-291. https://doi.org/10.17073/2500-0632-2024-04-259
π Ershov M.S., Efimov E.S. Stability of a controlled sucker-rod pump unit drive under operating conditions and during voltage dips in the electrical network. Mining Science and Technology (Russia). 2024;9(3):292-303. https://doi.org/10.17073/2500-0632-2024-01-213
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πt.iss.one/MinSciTechπ
#inenglish #MST #issue #contents #mining_science_technology #georadar #underground #rock #gas #subway #coal #rescue #tunnel #safety #hydrogeological #risk #electrical #network #environmental #beneficiation
π Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118
π Serebryakov E.V., Zaytsev I.A., Potaka A.A. Assessment of rating parameters of the rock mass conditions at Udachny underground mine deep levels. Mining Science and Technology (Russia). 2024;9(3):206-220. https://doi.org/10.17073/2500-0632-2023-12-192
π Tomskiy K.O., Ivanova M.S., Nikitin E.D., Rudykh L.A. Application of hydrodynamic simulation on the basis of a composite model to improve the efficiency of gas-condensate reservoir development. Mining Science and Technology (Russia). 2024;9(3):221-230. https://doi.org/10.17073/2500-0632-2023-10-176
π Aleksandrova Π’.N., Afanasova A.V., Aburova V.A. βInvisibleβ noble metals in carbonaceous rocks and beneficiation products: feasibility of detection and coarsening. Mining Science and Technology (Russia). 2024;9(3):231-242. https://doi.org/10.17073/2500-0632-2024-03-229
π Rudenko V.A. Assessment of readiness of auxiliary mine rescue teams in coal mines. Mining Science and Technology (Russia). 2024;9(3):243-249. https://doi.org/10.17073/2500-0632-2024-03-234
π Gendler S.G., Kryukova M.S., Alferova E.L. Investigation of thermodynamic parameters of the air environment in subway lines with single-track and double-track tunnels. Mining Science and Technology (Russia). 2024;9(3):250-262. https://doi.org/10.17073/2500-0632-2024-02-223
π Ivanova L.A., Prosekov A.Yu., Ivanov P.P., Mikhaylova E.S., Timoshchuk I.V., Gorelkina A.K. Assessment of the efficiency of wastewater treatment from coal enterprises for suspended solids using various filtering materials. Mining Science and Technology (Russia). 2024;9(3):263-270. https://doi.org/10.17073/2500-0632-2024-03-227
π Golik V.I., Razorenov Yu.I., Valiev N.G., Gavrina O.A. Environmentally sound geotechnologies for leaching metals from polymetallic ore processing wastes and wastewater. Mining Science and Technology (Russia). 2024;9(3):271-282. https://doi.org/10.17073/2500-0632-2023-11-184
π Zhukov S.A. Substantiation of environmental safety in metro facility operations considering hydrogeological risks. Mining Science and Technology (Russia). 2024;9(3):283-291. https://doi.org/10.17073/2500-0632-2024-04-259
π Ershov M.S., Efimov E.S. Stability of a controlled sucker-rod pump unit drive under operating conditions and during voltage dips in the electrical network. Mining Science and Technology (Russia). 2024;9(3):292-303. https://doi.org/10.17073/2500-0632-2024-01-213
Subscribe to the journal's Telegram channel:
πt.iss.one/MinSciTechπ
#inenglish #MST #issue #contents #mining_science_technology #georadar #underground #rock #gas #subway #coal #rescue #tunnel #safety #hydrogeological #risk #electrical #network #environmental #beneficiation
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We present the articles of the third issue of scientific journal "Mining Science and Technologyβ (Russia) for 2024:
The performed study allowed to develop a model of hyperbolic time-distance curve of GPR impulses reflected from a local feature located in a rock mass with an arbitrary number of layers. Practical application of the obtained results in studies aimed at automated determination of electrophysical properties of rocks and soils by hyperbolic time-distance curves will allow to create a database with up-to-date information on dielectric permittivity of rocks.
For more information, see the article:
π₯ Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118 π₯
Subscribe to the journal's Telegram channel:
πt.iss.one/MinSciTechπ
#inenglish #MST #model #rock_mass #rock #dielectric_permittivity #velocity #hyperbola #layer #georadar #permafrost_zone #gprMax
The performed study allowed to develop a model of hyperbolic time-distance curve of GPR impulses reflected from a local feature located in a rock mass with an arbitrary number of layers. Practical application of the obtained results in studies aimed at automated determination of electrophysical properties of rocks and soils by hyperbolic time-distance curves will allow to create a database with up-to-date information on dielectric permittivity of rocks.
For more information, see the article:
π₯ Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118 π₯
Subscribe to the journal's Telegram channel:
πt.iss.one/MinSciTechπ
#inenglish #MST #model #rock_mass #rock #dielectric_permittivity #velocity #hyperbola #layer #georadar #permafrost_zone #gprMax
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What are the specific characteristics of ground-penetrating radar (GPR) in permafrost, and how can its effectiveness be improved?
The most important parameters for electromagnetic wave propagation in a medium are the waveβs speed and specific attenuation. The propagation speed of electromagnetic waves generally depends on the relative permittivity, the relative permeability, and the frequency of the applied field. On the example of a permafrost zone rock mass containing a layer of unfrozen rocks, the effect of the thicknesses of rock layers and their relative dielectric permittivity on the apparent dielectric permittivity resulting from the calculation of the theoretical hyperbolic time-distance curve was shown. The conditions under which it is impossible to determine the presence of a layer of unfrozen rocks from a hyperbolic time-distance curve are also presented. The results obtained in the course of the study are of great importance for the development of methodological support of GPR for determining electrophysical properties of rocks, which will increase the reliability of the assessment of their physical and mechanical properties, especially in the area of permafrost occurrence. Practical application of the obtained results in studies aimed at automated determination of electrophysical properties of rocks and soils by hyperbolic time-distance curves will allow to create a database with up-to-date information on dielectric permittivity of rocks.
For more information, see the article:
π Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118
Subscribe to the journal's Telegram channel:
πt.iss.one/MinSciTechπ
#Inenglish #MST #georadar #electromagneticwaves #hyperbolictimedistancecurve #layeredmedium #dielectricpermittivity #permafrostzone #propagationvelocity #localfeature #multilayerrockmass #geometricoptics #syntheticradargrams #computersimulation #thawedrocks #relativeerror #horizontallylayeredmedium #apparentvelocity #materialpart #physicalmechanicalproperties #automationsearch #georadarmeasurements #velocity #hyperbola #layer #gprMax
The most important parameters for electromagnetic wave propagation in a medium are the waveβs speed and specific attenuation. The propagation speed of electromagnetic waves generally depends on the relative permittivity, the relative permeability, and the frequency of the applied field. On the example of a permafrost zone rock mass containing a layer of unfrozen rocks, the effect of the thicknesses of rock layers and their relative dielectric permittivity on the apparent dielectric permittivity resulting from the calculation of the theoretical hyperbolic time-distance curve was shown. The conditions under which it is impossible to determine the presence of a layer of unfrozen rocks from a hyperbolic time-distance curve are also presented. The results obtained in the course of the study are of great importance for the development of methodological support of GPR for determining electrophysical properties of rocks, which will increase the reliability of the assessment of their physical and mechanical properties, especially in the area of permafrost occurrence. Practical application of the obtained results in studies aimed at automated determination of electrophysical properties of rocks and soils by hyperbolic time-distance curves will allow to create a database with up-to-date information on dielectric permittivity of rocks.
For more information, see the article:
π Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118
Subscribe to the journal's Telegram channel:
πt.iss.one/MinSciTechπ
#Inenglish #MST #georadar #electromagneticwaves #hyperbolictimedistancecurve #layeredmedium #dielectricpermittivity #permafrostzone #propagationvelocity #localfeature #multilayerrockmass #geometricoptics #syntheticradargrams #computersimulation #thawedrocks #relativeerror #horizontallylayeredmedium #apparentvelocity #materialpart #physicalmechanicalproperties #automationsearch #georadarmeasurements #velocity #hyperbola #layer #gprMax
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π Hidden Layers in Permafrost: New Study Decodes GPR Interpretation Challenges
Ground-penetrating radar (GPR) is indispensable for subsurface exploration, but interpreting data in complex multilayered permafrost remains problematic. A new study offers a solution to accurately determine rock properties in permafrost environments.
π₯ Key Findings:
1. Layered Media Model
A mathematical model describes EM wave behavior through alternating frozen/thawed layers, focusing on hyperbolic signatures in radargrams β critical for data interpretation.
Important limitation:
βοΈ The model excludes EM wave dispersion/absorption effects.
2. Measurement "Deception"
A mere 0.5 m thawed layer (within a 4.5 m rock mass) can reduce apparent wave velocity by ~10%, while remaining undetected in standard analysis.
3. Digital Validation:
Simulations in gprMax and GeoScan32 confirmed model accuracy with <0.5% error.
π Applications:
βοΈ improved ground stability assessment for construction;
βοΈ detection of hazardous thawed layers;
βοΈ enhanced automated GPR data processing.
βοΈ Technical Specs:
βοΈ Ricker pulses at 400 MHz;
βοΈ Up to 9 layers analyzed;
βοΈ Dielectric permittivity: Ξ΅'=4β20.
Original study:
π Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118
π Follow our channel: t.iss.one/MinSciTech
#inEnglish #MST #Geophysics #Cryolithozone #Georadar #Permafrost #SoilScience #EngineeringGeology #GPR #SubsurfaceExploration #GeophysicalMethods #RockProperties #SoilPhysics #Geotechnics #Radargram #HyperbolicModel #ElectromagneticWaves
Ground-penetrating radar (GPR) is indispensable for subsurface exploration, but interpreting data in complex multilayered permafrost remains problematic. A new study offers a solution to accurately determine rock properties in permafrost environments.
π₯ Key Findings:
1. Layered Media Model
A mathematical model describes EM wave behavior through alternating frozen/thawed layers, focusing on hyperbolic signatures in radargrams β critical for data interpretation.
Important limitation:
βοΈ The model excludes EM wave dispersion/absorption effects.
2. Measurement "Deception"
A mere 0.5 m thawed layer (within a 4.5 m rock mass) can reduce apparent wave velocity by ~10%, while remaining undetected in standard analysis.
3. Digital Validation:
Simulations in gprMax and GeoScan32 confirmed model accuracy with <0.5% error.
π Applications:
βοΈ improved ground stability assessment for construction;
βοΈ detection of hazardous thawed layers;
βοΈ enhanced automated GPR data processing.
βοΈ Technical Specs:
βοΈ Ricker pulses at 400 MHz;
βοΈ Up to 9 layers analyzed;
βοΈ Dielectric permittivity: Ξ΅'=4β20.
Original study:
π Sokolov K.Π. Model of time-distance curve of electromagnetic waves diffracted on a local feature in the georadar study of permafrost zone rock layers. Mining Science and Technology (Russia). 2024;9(3):199-205. https://doi.org/10.17073/2500-0632-2023-05-118
π Follow our channel: t.iss.one/MinSciTech
#inEnglish #MST #Geophysics #Cryolithozone #Georadar #Permafrost #SoilScience #EngineeringGeology #GPR #SubsurfaceExploration #GeophysicalMethods #RockProperties #SoilPhysics #Geotechnics #Radargram #HyperbolicModel #ElectromagneticWaves
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