Amplitude 1
0
Channel “B”
(Partyka 1999) 10,000 ft
analysis window length = 100ms
Spectral Decomposition - 12
Chapter 1 - 15
Tuning Cube Animation 调谐体动画
Amp 26 16 hz
薄层反射
振幅谱
Amplitude Frequency Frequency
相位普
Phase
Fourier Transform 付氏变换
(Partyka 1999)
Spectral Decomposition - 14
Chapter 1 - 17
Phase Cube Animation 相位体动画 Phase Phase 16 26 hz
Source Wavelet Amplitude Spectrum
Amplitude Frequency
Source Wavelet
Reflected Thin Bed Wavelets Reflection
Thin Bed Reflection Amplitude Spectrum
Amplitude Frequency
FREQUENCY DOMAIN
Wavelet Overprint
(Partyka 1999)
Spectral Decomposition - 9
Chapter 1 - 15
Traditional Amplitude Response
Channel “A” Fault-Controlled Channel Point Bar
Scope-out Analysis Reconnaissance Tuning Cube
Data Preparation
Time Spent in Spectral Decomposition
Spectral Decomposition - 18
Chapter 2 - 24
0. Data Preparation
Spectral Decomposition - 5
Chapter 1 - 9
The Tuning Cube 调谐体
y x z
3-D Seismic Volume Interpret 解释
y x
Interpreted 3-D Seismic Volume
z
Subset 子集
y x
Zone-of-Interest Subvolume
Amplitude Frequency
Amplitude Frequency
Amplitude
FREQUENCY DOMAIN
(Partyka 1999)
Spectral Decomposition - 8
Chapter 1 - 13
Short Window Analysis 短时窗分析
Reflectivity r(t)
(Partyka 1999)
Spectral Decomposition - 13
Chapter 1 - 14
Phase 相位
• Amplitude spectra delineate thin bed variability via spectral notching 振幅谱通过谱缺口描绘了 薄层的变化 • Phase spectra delineate lateral discontinuities via phase instability 相位谱通过相位的不稳定 性描绘了横向的不连续性
Spectral Decomposition - 20
Chapter 2 - 32
Reconnaissance Tuning Cube
• Animation
Spectral Decomposition - 21
Chapter 2 - 29
Reconnaissance Tuning Cube
• Viewing a frequency cross-section
Spectral Decomposition - 3
Chapter 1
Introduction 介绍
» Technical Description 技术描述 » Tuning Cube 调谐体 » Tuning Mapper 调谐图 » Volume Recon 体搜索
Chapter 1
Spectral Decomposition - 4
Spectral Decomposition - 11
Chapter 1 - 16
Tuning Cube, Amplitude at Frequency = 26 hz
Channel “A” North-South Extent of Channel “A” Delineation Fault-Controlled Channel Point Bar
Chapter 2
Spectral Decomposition - 17
The SpecDecomp Continuum
Knowledge of Prospect
Thickness Estimation Target Tuning Analysis Detailed Animation Running Window Analysis
Fourier Transform
Fourier Transform
1 Temporal Thickness
Acoustic Reflectivity Impedance
Thin Bed
Temporal Thickness
(Partyka 1999)
Spectral Decomposition - 7
Faults
Phase 180
-180
N
(Partyka 1999) 10,000 ft
Spectral Decomposition - 15
Chapter 1 - 19
Volume Recon 体搜索
z y x z=1
3-D Seismic Volume
z=n
Compute
z=1 z=2 z=3 z=4 z=5 z=6
Chapter 1 - 12
Long Window Analysis 长时窗分析
Reflectivity r(t)
Travel Time
Wavelet w(t)
Noise n(t)
Seismic Trace s(t)
TIME DOMAIN
Fourier Transform
Amplitude Frequency Frequency
Travel Time
Wavelet w(t)
Noise n(t)
Seismic Trace s(t)
TIME DOMAIN
Fourier Transform
Amplitude Frequency Frequency
Amplitude Frequency
Amplitude Frequency
Amplitude
Spectral Decomposition - 19
Chapter 2 - 25
1. Reconnaissance Tuning Cube
• Parameterization – Long analysis window – Broad frequency range • Animation – Look for coherent geologic signal • Selection – Select a few discrete frequencies • Do you see anything of interest?
Amplitude 1
0
Channel “B”
(Partyka 1999) 10,000 ft
analysis window length = 100ms
Spectral Decomposition - 10
Chapter 1 - 15
Tuning Cube, Amplitude at Frequency = 16 hz
Chapter 1 - 7
Uses of Spectral Decomposition 谱分解的用途
• Quantifying thin-bed interference 定量确定薄层干涉 • Detecting subtle discontinuities 探测隐蔽的不连续性 • Delineating facies/stratigraphic settings 描绘相/地层配置关系 • Mapping complex fault systems 绘制复杂断裂系统
Time-Frequency 4-D Cube
y x freq y x freq y x freq y x freq y x freq y x freq
y x freq
z=n
Discrete Frequency Energy Cubes
z y x z=1 y x z z=n z=1 y x z z=n z=1 z z=n y x z=1
Chapter 1 - 11
Spectral Interference 谱干涉
• The spectral interference pattern is imposed by the distribution of acoustic properties within the short analysis window.
Subset
y x z=1
z z=n
z=n
Frequency 1
Frequency 2
Frequency 3