Related Experiment Video
Updated: Nov 21, 2025
09:12
A Method for Studying the Temperature Dependence of Dynamic Fracture and Fragmentation
Published on: June 28, 2015
8.8K
Fracture detection from Azimuth-dependent seismic inversion in joint time-frequency domain
Xinpeng Pan1, Dazhou Zhang1, Pengfei Zhang2
1School of Geoscience and Info-Physics, Central South University, Changsha, 410082, Hunan, China.
Scientific Reports
|January 15, 2021
Summary
This study introduces a robust joint time-frequency domain seismic inversion method for improved fracture detection. The new approach enhances resolution and noise resistance, offering a more stable technique for analyzing fractured reservoirs.
Area of Science:
- Geophysics
- Seismic Exploration
- Reservoir Characterization
Background:
- Azimuth-dependent seismic inversion is crucial for detecting fracture properties.
- Time and frequency domain inversions have distinct advantages in resolution and noise performance.
Purpose of the Study:
- To develop a more robust azimuth-dependent seismic inversion method for enhanced fracture detection.
- To combine Bayesian inference and joint time-frequency domain inversion for improved accuracy.
Main Methods:
- Utilizing Bayesian inference and joint time-frequency domain inversion theory.
- Implementing Cauchy Sparse and low-frequency constraint regularizations.
- Analyzing synthetic and field data for validation.
Main Results:
- The joint time-frequency domain inversion shows a larger frequency bandwidth with low signal-to-noise ratio (SNR) data compared to time or frequency domains.
- Cross-correlation coefficients confirm the joint method retains high resolution and strong anti-noise ability.
- Field data demonstrated the stability of the proposed inversion approach.
Conclusions:
- The proposed joint time-frequency domain inversion method offers a stable and effective technique for fracture detection in fractured reservoirs.
- This approach integrates the benefits of both time and frequency domain methods for superior results.
Related Concept Videos
01:08IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations
1.5K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.5K
01:15Discrete Fourier Transform
603
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
603
01:11Continuous -time Fourier Transform
612
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
612
01:07Basic signals of Fourier Transform
737
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
737
01:24IR Frequency Region: X–H Stretching
1.2K
In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of 2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
1.2K
01:27Fractures: Bone Repair
4.3K
Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...
4.3K