Lecture N. 1: Introduction to Geophysics and Geophysical Data Analysis H. SAIBI October 8, 2015 Department of Earth Resources Engineering Program 2 What is Geophysics? 密度 抵抗 磁性 放射能 コンダクタンス 探査機+コンピュータ+フィールド +地質学+その他 重力探査 電気探査 磁気探査 放射能探査 電磁探査 Georadar: dielectric constant; Seismics: elastic constants, density; Spontaneous Polarization (SP): oxidation potential, hydrogen concentration; Induced Polarization (IP): electrochemical properties of electronically conducting particles in rock pores. Each rocks has its specific physical properties それぞれの岩石は特有の物性地を持っている。 To study the physical properties of rocks we use specific geophysical methods helped by computers and tools. 岩石の物理的性質を研究するために、コンピュータや探査 機によって特別な地球物理学的手法を用います。 3 地震探査で石油を探す Source: SEG Doctor uses X-Ray to see what’s going on in your body. Geophysicists use special tools to look inside the Earth. 4 石油堆積層の厚さの測定 建造物のための地下の浅い部分の探査 地下水の探査 鉱物の探査 考古学的探査 地下空洞の探査 地熱貯留層のモニタリング 5 氷河地帯の物理探査 Aims of geophysical measurements 6 Required physical property contrast for various methods All geophysical methods depend on physical property contrasts between the target and the background geology. ● The physical property determines the geophysical technique. ● Interpretation of geophysical results together with geologists, hydrogeologists, civil engineers, ... 7 Table: Geophysical methods and their main applications. 8 Number of times that the use of a specific technique is mentioned in articles published in Near Surface Geophysics 2002-2010 9 Unexploded Ordnance (UXO) (a) EM induction response of metal pipes buried at a test site. (b) EM induction response of UXO at a live site with highly magnetic soil (Hawaii) from Huang and Won (2003) 10 GPR stratigraphy GPR stratigraphy of an active dune rich in high quality Quartz in New Zealand from van Dam et al. (2003) 11 Mars radar sounding Orbiting 85 ms chirp radar image of stratigraphy at the Mars north polar ice cap. From Phillips et al. (2008) 12 High-resolution urban seismic reflection (ex: Barcelona, Spain) Seismic depth section from Marti et al. (2008) 13 Planning a geophysical survey Figure: Schematic flow diagram to illustrate the decisionmaking process leading to the selection of geophysical and utility software. 14 Geophysical Survey Design: Target identification Figure: Examples of (A) a gravity anomaly over a buried sphere, and (B) a magnetic anomaly over an inclined magnetic sheet. 15 Figure: Contrasts in physical properties from different geological targets give rise to a geophysical target. When there is no contrast, the target in undetectable geophysically. 16 Arrangements of measurements (Optimum line configuration) (A) (C) (B) Figures: Geophysical anomaly plots: (A) profile, (B) map, (C) isometric projection, (D) shaded relief. 2D比抵抗マップ (D) A) Profiling and mapping: Measurements are carried out along a profile or in an area: f(x) f(x,y) Detection of lateral variation of the physical parameter at a certain depth. B) Sounding: Measurements are carried out along a profile. Several data per location are measured f(x,z) Determination of the variation of the physical parameter as a function of 17 depth. Seismic Image of Ancient Reef in Alberta [400 million years old] 3Dイメージング Selection of station intervals Correct choice of station interval is necessary ➔ Waste of time and money to record too many data ➔ Also wasteful if too few are collected Figure: Examples of various degrees of spatial aliasing using different sampling intervals. 19 Noise Figure: Schematic illustrating some common sources of geophysical noise 20 Figure: Signal-to-noise ratio. In (A) the signal has a much larger amplitude than that of the background noise, so the signal can be resolved. In (B) the signal amplitude is less than, or about the same as, that of the noise and thus the signal is lost in the noise. 21 Data analysis Figure: Schematic to show the relationship between various input devices, through data-file formats to the computer, and subsequently to some form of hardcopy device. 22 Data Analysis Lindley (1956): “if the state of nature is known, then no experiment can be informative” 23 • Geophysicists are looking to extract information about the Earth. • Information is a quantum, bit of new knowledge (a) The unit comb function consisting of regularly spaced unit impulses. This signal captures the regular movement of a pathological ant. (b) A signal which captures an unexpected movement of the ant. Electrical conductivity Clay content Porosity (Left) Scatter in data based on one explanatory variable. (Right) partition of data into three discernible subsets based on the value of a second explanatory variable. SENSORS • A sensor is a device that converts a physical input signal into a voltage. • Dynamic range (g) = 20 log10 amax/amin [dB] (Left) Geophones. (Right) earthquake seismogram showing P-, S-, and surface waves. FREQUENCY RESPONSE Measured and ideal frequency of a loudspeaker. Modeled frequency response of a dual-mass accelerometer for landmine detection (MARTIN ET AL., 2006). DISCRETE FOURIER TRANSFORM (Left) A continuous function f(t) and (Right) its discretely sampled representation {a(kDt)} (Top) Impulse signal; (middle) amplitude spectrum Rn and; (bottom) phase spectrum F(n) of the discrete Fourier series. The boxcar function is important in time-series analysis for removal of bad data or isolating of a long data sequence. (Top) Boxcar signal; (bottom) amplitude spectrum Rn of the discrete Fourier. FILTERING Amplitude spectra of Butterworth n-pole low-pass filters and a bandpass filter, where fc = wc/2p and fb = wb/2p Original signal Low-pass filter with cut-off frequency w = p/30 Low-pass filter with cut-off frequency w = p/100 Low-pass filter with cut-off frequency w = p/300 Higher-frequency signal energy is removed as the cut-off frequency is reduced Effect of low-pass filtering CONVOLUTION (a) Unit impulse function d (t-t0); (b) impulse response h(t); (c) source function s(t); (d) actual Earth response r(t). Effect of sampling DATA WINDOWS AND SPECTRAL ANALYSIS Power spectra of rectangle and Hann windows Effect of Hann windowing on geomagnetic time series: (left) original and Hann-windowed time series; (right) corresponding power spectra. De-spiking a magnetics data set (N=256) using l = 0.005. The inset shows the number of spikes as a function of parameter l Scaled and translated Mexican hat wavelet functions, using p=0.5 Continuous wavelet transform and 39-point moving-average filter applied to the original geophysical time series shown at top. 41
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