Assessment of rock geomechanical properties and estimation of wave velocities

Guo, Shaoqiang; Zhang, Yao; Iraji, Amin; Gharavi, Hoorman; Deifalla, Ahmed Farouk

doi:10.1007/s11600-022-00891-8

Artykuł - szczegóły

Tytuł artykułu

Assessment of rock geomechanical properties and estimation of wave velocities

Autorzy

Guo Shaoqiang , Zhang Yao , Iraji Amin , Gharavi Hoorman , Deifalla Ahmed Farouk

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-022-00891-8

Warianty tytułu

Języki publikacji

Abstrakty

Wave velocity is used to determine rock material, porosity, degree of petrification, fluid type, and mechanical and behavioral properties. In this study, after assessing the relationship between the static elastic modulus (E_s) and the dynamic elastic modulus (E_d), various models using statistical and intelligent methods were presented for predicting shear wave velocity (V_s) and compressional wave velocity (V_p) based on porosity (P), Brazilian tensile strength (BTS), density (D), point load index (PLI), and water absorption (A) of sedimentary rocks. The Vp and Vs were estimated using simple and multiple regression, back-propagation artificial neural network (BPANN), support vector regression (SVR), and adaptive neuro-fuzzy inference system (ANFIS) methods. The examination of necessary assumptions of the models such as analysis of variance (ANOVA), variance inflation factor (VIF), mean absolute percentage error (MAPE), root-mean-square error (RMSE), variance accounted for (VAF), and independence of errors showed the high accuracy of the obtained model using multiple linear regression. The SVR approach using the radial basis kernel function with R²=100% and 99% showed the best accuracy in estimating Vs and Vp, respectively. The average ratio of E_d/E_s, dynamic-to-static Poisson ratio ( ν_d∕ν_s ) , and Vp/Vs were obtained as 2.52, 2.92, and 2.82, respectively. The most accurate relationship between Ed and Es was developed in the form of a power function with R²=0.88.

Słowa kluczowe

dynamic properties estimator model microscopic studies physical and mechanical properties rocks

właściwości dynamiczne model estymatora badania mikroskopowe właściwości fizyczne i mechaniczne skały

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2023

Tom

Vol. 71, no. 2

Strony

649--670

Opis fizyczny

Bibliogr. 139 poz.

Twórcy

autor

Guo Shaoqiang

Shaanxi Key Laboratory of Safety and Durability of Concrete Structures, Xijing University, Xi’an 710123, China

autor

Zhang Yao

t15902960606@163.com

Shaanxi Key Laboratory of Safety and Durability of Concrete Structures, Xijing University, Xi’an 710123, China
State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China

autor

Iraji Amin

a.iraji@uut.ac.ir

Department of Civil Engineering, Engineering Faculty of Khoy, Urmia University of Technology, Urmia, Iran

autor

Gharavi Hoorman

School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

autor

Deifalla Ahmed Farouk

Structural Engineering Department, Structural Engineering and Construction Management, Future University in Egypt, New Cairo 11845, Egypt

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-151351f2-5660-472d-8fc0-49c7ffeb0f00