2017
DOI: 10.1007/s10064-017-1197-y
|View full text |Cite
|
Sign up to set email alerts
|

Developing a novel model for predicting geomechanical features of carbonate rocks based on acoustic frequency processing during drilling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 16 publications
(6 citation statements)
references
References 15 publications
0
6
0
Order By: Relevance
“…Accordingly, the AE signal processing methods can be classified into three categories: (i) signal processing, (ii) feature extraction, and (iii) pattern recognition. The most important and widely used (Qin et al, 2018) × (Karakus & Perez, 2014) × × × × (Bastari et al, 2011) × (Parsian et al, 2017) × × × (Marinescu & Axinte, 2009) × × (Xiao, Hurich et al, 2018) × (Li et al, 2018) × × (Buj-Corral et al,, 2018) × (Shaffer et al,, 2018) × × × (Wang et al, 2017) × × (Rivero et al, 2008) × (Flegner et al, 2014) × (Feng & Yi, 2017) × (Yari et al, 2017) × (Yari & Bagherpour, 2018 (a&b)) × (Shreedharan et al, 2014) × (Kostur & Futo, 2007) × ( Kawamura et al, 2017) × (Pedrayes et al, 2018) × × (Gradl et al, 2012) × × × (Vardhan et al, 2009) × × × (Beheshtizadeh et al, 2017) × (Miklusova et al, 2006) × × × × (Goyal & Pabla, 2016) × (Liew & Wang, 1998) × × (Kong et al, 2015) × (Jain et al, 2001) The Mining-Geology-Petroleum Engineering Bulletin and the authors ©, 2019, pp. 19-32, DOI: 10.17794/rgn.2019.4.3 methods of the first category (signal processing) include: time series statistical models, Short Time Fourier Transform (STFT), Fast Fourier Transform (FFT), Wavelet Packet Decomposition (WPD), Hilbert-Huang transform (HHT), Wigner-Ville distribution, signal spectrum analysis, Adaptive Line Enhancer (ALE), wavelet transform, and the Peak-Hold-Down-Sample (PHDS) algorithm.…”
Section: Acoustic Signal Processing Feature Extraction and Pattern Rmentioning
confidence: 99%
“…Accordingly, the AE signal processing methods can be classified into three categories: (i) signal processing, (ii) feature extraction, and (iii) pattern recognition. The most important and widely used (Qin et al, 2018) × (Karakus & Perez, 2014) × × × × (Bastari et al, 2011) × (Parsian et al, 2017) × × × (Marinescu & Axinte, 2009) × × (Xiao, Hurich et al, 2018) × (Li et al, 2018) × × (Buj-Corral et al,, 2018) × (Shaffer et al,, 2018) × × × (Wang et al, 2017) × × (Rivero et al, 2008) × (Flegner et al, 2014) × (Feng & Yi, 2017) × (Yari et al, 2017) × (Yari & Bagherpour, 2018 (a&b)) × (Shreedharan et al, 2014) × (Kostur & Futo, 2007) × ( Kawamura et al, 2017) × (Pedrayes et al, 2018) × × (Gradl et al, 2012) × × × (Vardhan et al, 2009) × × × (Beheshtizadeh et al, 2017) × (Miklusova et al, 2006) × × × × (Goyal & Pabla, 2016) × (Liew & Wang, 1998) × × (Kong et al, 2015) × (Jain et al, 2001) The Mining-Geology-Petroleum Engineering Bulletin and the authors ©, 2019, pp. 19-32, DOI: 10.17794/rgn.2019.4.3 methods of the first category (signal processing) include: time series statistical models, Short Time Fourier Transform (STFT), Fast Fourier Transform (FFT), Wavelet Packet Decomposition (WPD), Hilbert-Huang transform (HHT), Wigner-Ville distribution, signal spectrum analysis, Adaptive Line Enhancer (ALE), wavelet transform, and the Peak-Hold-Down-Sample (PHDS) algorithm.…”
Section: Acoustic Signal Processing Feature Extraction and Pattern Rmentioning
confidence: 99%
“…There are a large number of methods to measure the strength of rocks, such as nondestructive acoustic emission technology [6][7][8] at the microscopic scale and true triaxial systems [9] and dynamic loading systems [10] at the macroscopic scale. In this experiment, the dynamic mechanical properties of rock are studied by the split Hopkinson pressure bar (SHPB) system.…”
Section: Introductionmentioning
confidence: 99%
“…Then, in order to measure and efficiently estimate the mechanical properties of rock materials under various conditions, many scholars used acoustic waves in real-time and non-destructive detection and monitoring applications to study the mechanical strength and macro-and microstructural characteristics of rock [21]. In Materials 2023, 16, 3041 2 of 17 addition, acoustic frequency analysis methods are also applied to study rock characteristics, and the results show that there is a reliable mathematical relationship between the two factors [22]. Until now, multitudinous scholars have conducted effective research in this field.…”
Section: Introductionmentioning
confidence: 99%