Fall 2022
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This example demonstrates the relationship between weight and the number of bubble tea in a space domain. The white dots indicate the observed data points.
Note that without probing a measuring device, we cannot confirm the existence of vector field. However, scientists can map a vector field based on observed stations, and this information will use for creating a function.
(i) Measured gravity effects are caused by sources that may vary in depth from the grassroots down.
(ii) Sedimentary rocks, which are the ones in which generally hydrocarbon may occur, nearly always are less magnetic than the underlying basement (usually igneous or metamorphic rocks).
(iii) Magnetic effects are not too influenced by the sediments. One can say that its effects are almost the same as if the sediments were not present.
| Material | Susceptibility x (SI) |
| Air | about 0 |
| Quartz | -0.01 |
| Rock Salt | -0.01 |
| Calcite | -0.001 - 0.01 |
| Sphalerite | 0.4 |
| Pyrite | 0.05 - 5 |
| Hematite | 0.5 - 35 |
| Illmenite | 300 - 3500 |
| Magnetite | 1200 - 19,200 |
| Limestones | 0 - 3 |
| Sandstones | 0 - 20 |
| Shales | 0.01 - 15 |
| Schist | 0.3 - 3 |
| Gneiss | 0.1 - 25 |
| Slate | 0 - 35 |
| Granite | 0 - 50 |
| Gabbro | 1 - 90 |
| Basalt | 0.2 - 175 |
| Peridotite | 90 - 200 |
Use the table on the left to select one rock with the possibility of having the highest magnetic susceptibility.
1. Submit the BT median (magnitude of magnetic field) via slack. We use the median rather than the mean to avoid anomaly and spiking data.
1 hertz = 1 Hz = 1 oscillation per second = 1 s
-1
amplitude
Use the Harmonic equation to reproduce the cosine function shown in the figure above. Try to modify the parameters such as amplitude, frequency, and phase. You might superimpose your results to analyze what differences are.
Newton's law of universal gravitation describes the relationship between mass attractions and forces shown as (1). We can derive the Earth’s gravitational field (3) based on the relationship between(1) and Newton's second law (2).
Earth's gravity decreases when increasing the distance from the center of the earth. Based on the gravity equation, please demonstrate how the gravity strength decreases with increasing distance from the center of the earth.
Task 1: Using the earth's gravitational equation to reproduce the figure above. Students may study the code snippet below for the guild line.
This assumption leads to maximum gravity intensity near the earth's surface and will reduce the intensity when the distance increases from the earth's center.
We know that shape of the earth is likely oblate spheroid (ellipsoid). The ellipsoid approximation can refer to the reference ellipsoid, World Geodetic System (WGS), using model WGS 84.
Task: reproduce this figure and compute gravity in Thailand
(latitude 15 degrees) using an ellipse parametric equation.
Gravity is a vector field, so a mass unit in a gravimeter will experience multiple gravitational attractions from multiple positions. The reading values represent the magnitudes of the total gravity field. Typically, this refers to g(z) pointing toward the earth's center.
The earth materials are not unit points, and they are likely heterogeneous. Hence, this concept needs more assumptions to tackle the subsurface imaging problems.
This assumption leads to density contrasts (excess mass) in which the ore deposit has more density than the host rock. The gravimetry will read gravitational accerlation adjacent to the ore deposit as an anomaly.
Suppose our observation target in the subsurface is a buried sphere, and we focus the gravitational attraction only on axis-z. Thus, this task can approximate into a 2D problem, in which derived equations are shown on the RHS.
The geoid is the shape that the ocean surface would take under the influence of the gravity of Earth, including gravitational attraction and Earth's rotation, if other influences such as winds and tides were absent. This surface is extended through the continents (such as with very narrow hypothetical canals). According to Gauss, who first described it, it is the "mathematical figure of the Earth", a smooth but irregular surface whose shape results from the uneven distribution of mass within and on the surface of Earth.[1] It can be known only through extensive gravitational measurements and calculations
The gravity anomaly at a location on the Earth's surface is the difference between the observed value of gravity and the value predicted by a theoretical model. If the Earth were an ideal oblate spheroid of uniform density, then the gravity measured at every point on its surface would be given precisely by a simple algebraic expression. However, the Earth has a rugged surface and non-uniform composition, which distorts its gravitational field. The theoretical value of gravity can be corrected for altitude and the effects of nearby terrain, but it usually still differs slightly from the measured value. This gravity anomaly can reveal the presence of subsurface structures of unusual density. For example, a mass of dense ore below the surface will give a positive anomaly due to the increased gravitational attraction of the ore.
Different theoretical models will predict different values of gravity, and so a gravity anomaly is always specified with reference to a particular model. The Bouguer, free-air, and isostatic gravity anomalies are each based on different theoretical corrections to the value of gravity.
A gravity survey is conducted by measuring the gravity anomaly at many locations in a region of interest, using a portable instrument called a gravimeter. Careful analysis of the gravity data allows geologists to make inferences about the subsurface geology.mass excess and deficiency
simple
complex
Gravity exploration in geophysics is a superposition of the multilayer of the earth's structure. The gravity reading is a summation of gravity, which requires collection methods to separate between target and background. Modeling and inversion are typical methods that geophysicists use to decompose the earth's statra.
normal gravity
terrains
earth rotation
tides
free air
Bouguer
Text
Coulomb's law
In this section we look at Direct Current (DC) resistivity surveys. The physical property of for DC surveys is electrical conductivity σ (Siemens/meter) (or if you prefer its inverse, resistivity ρ (Ohm * meter)). For these surveys, the source is current injected into the ground, and the receivers measure the strength of the current and voltage differences.
DC resistivity is widely used for mining exploration, particularly for porphyry deposit, in geotechnics to find cavities in the subsurface or in environment to determine possible pollution leakage.
Some key areas to pay attention to with DC surveys are the various configurations (dipole-dipole, pole-dipole, gradient array, Schumberger and Wenner soundings), each of which delivers a particular focus on different subsurface information.
conductivity and resistivity
High power and reliable constant current are the primary requirements of DC resistivity transmitters. For small scale work (electrodes up to roughly 100 m apart), a transmitter capable of sourcing up to several hundred milliwatts of power might be adequate. For larger scale work (electrodes as much as 1000 m or more apart), it is possible to obtain transmitters that can source up to 30,000 watts. See the section DC resistivity instruments for more details.
It is tempting to compare the earth to a resistor in an electric circuit (Fig. 166, Fig. 167). However, it is important to recognize the difference between resistance and resistivity. If we apply Ohm’s law, R=V/I we will have a resistance, which is in units of Ohms. This is not the ground’s resistivity, which has units of Ohm-m. We do not want the resistance of this circuit, we want a measure of the ground’s resistivity.
Before going straight into seismic imaging theory, let us have a glimpse of seismic images. The outcrop image is on the top left, and the seismic image is on the bottom left. The seismic wave can capture just some frequency range in which most outcrop details are partially preserved.
The signal at the location (inline 205) is an example of a 1D signal that contains different dominant frequencies: the outcrop image contains a higher.
1 hertz = 1 Hz = 1 oscillation per second = 1 s
-1
amplitude
Use the Harmonic equation to reproduce the cosine function shown in the figure above. Try to modify the parameters such as amplitude, frequency, and phase. You might superimpose your results to analyze what differences are.
Almost waveforms in seismic exploration combine various sine and cosine functions, amplitudes, and phases. It is rare to find a simple harmonic form. Generally, geophysicists approximate seismic frequency as an average frequency, and this estimation refers to the dominant frequency, many frequencies, but a few frequency ranges dominate the spectrum.
Can we generate some sine and cosine functions to fit this waveform?
Using the Fourier series, the equation above generates several sine and cosine functions and sums all functions together. We notice that the coefficients can expand by using Euler's formula.
The Figure on the left represents the number of generated functions from sines and cosines. Theoretically, the integration form should reach infinity to generate a fit function. Here, we approximate only five times and yield a decent fit function.
true signal
Fourier transform integral
Fourier inversion integral
Use DFT to compute the frequency at the window. The approximation is based on the summation of the vertical signal in 1D.
Wave propagation in exploration refers to exploding energy from a source, in this case using an airgun, and wave propagates in all directions, such as the figure in the middle. The wave propagates through the medium, that is, seawater and rock under the sea floor. Once the wave hits the reflector (sea floor), it will partially reflect, returning to the surface and partially transmitted through the subsurface. These wave phenomena are the principle of seismic exploration used for imaging subsurface.
In the past, petroleum systems were likely uncomplicated structures. Nowadays, remaining hydrocarbon accumulations have more challenging structures requiring advanced geophysics methods to reveal a prospective target.
The Huygens–Fresnel principle (named after Dutch physicist Christiaan Huygens and French physicist Augustin-Jean Fresnel) states that every point on a wavefront is itself the source of spherical wavelets, and the secondary wavelets emanating from different points mutually interfere.[1] The sum of these spherical wavelets forms a new wavefront. As such, the Huygens-Fresnel principle is a method of analysis applied to problems of luminous wave propagation both in the far-field limit and in near-field diffraction as well as reflection.
diffracted point
The reconstruction of seismic images is based on scattering theory, which can explain by diffraction. When we solve a computer's continuous wave equation with limited memory capacity, we assume that each element in computer memory can generate the seismic wave, called the point source. If several point sources have wavefronts superposition strong enough, this phenomenon can form seismic reflection. So both terms share an essential relationship.
diffraction point
diffraction hyperbola
diffraction hyperbola
diffraction point
multi-diffraction points
reflection hyperbola
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This geological structure shows the normal fault that creates foot (left) and hanging (right) walls. The fault in this model represents sediment filled that creates a particular P-wave velocity zone. Three-layer sediments contain different P-wave velocities, and their quantitative information can refer to the code in our repository on GitHub. For simplicity, the model contains only P-wave velocity.
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The direct wave indicates the sound wave spreading as a spherical wave. In a homogeneous medium, the spherical wave will maintain its symmetrical spreading.
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Once the direct wave strikes the zone fault, it will reflect some energy, probably back to the surface, and residual energy will transmit to the adjacent media. Noticeably, on the left part of the footwall, the spherical wavefront begins to distort, whereas, on the hanging wall, it still maintains the feature.
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In this time step, the zones containing high impedance contrasts demonstrate reflections such as the fault zone and the first layer (green line). The complex waveform generated from the internal fault body oscillates diffracted waves that are the primary component of the reflection.
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In this snapshot, the reflections from different layers represent strong amplitudes possessed hyperbolic-like features. The diffraction reveals in several places, and these waveforms might be stacked during the migration process as signal or noise, which depends on the multifactor.
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The direct wave, or the first arrival, is the wave that first arrives at a receiver and generally shows the strongest amplitude. This waveform is removed during the preprocessing in seismic exploration because it provides less subsurface information. Geologists prefer reflected waves that can provide more surface information.
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The first reflection arrives later after the direct wave mostly passes through receivers. We know that reflection travels in a two-way time, first propagating to a reflector and returning to the receivers on the surface.
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In this recording time, the first reflection reflects at the fault zone, and multiple diffractions are visible underneath this reflection. To correct more subsurface data, we need to increase the recording time, particularly for deep exploration. Commonly, an offshore exploration has a target of approximately five kilometers and a recording time requires up to seven seconds.
convolution
reflection coefficients