152 research outputs found
Fast hyperbolic Radon transform represented as convolutions in log-polar coordinates
The hyperbolic Radon transform is a commonly used tool in seismic processing,
for instance in seismic velocity analysis, data interpolation and for multiple
removal. A direct implementation by summation of traces with different moveouts
is computationally expensive for large data sets. In this paper we present a
new method for fast computation of the hyperbolic Radon transforms. It is based
on using a log-polar sampling with which the main computational parts reduce to
computing convolutions. This allows for fast implementations by means of FFT.
In addition to the FFT operations, interpolation procedures are required for
switching between coordinates in the time-offset; Radon; and log-polar domains.
Graphical Processor Units (GPUs) are suitable to use as a computational
platform for this purpose, due to the hardware supported interpolation routines
as well as optimized routines for FFT. Performance tests show large speed-ups
of the proposed algorithm. Hence, it is suitable to use in iterative methods,
and we provide examples for data interpolation and multiple removal using this
approach.Comment: 21 pages, 10 figures, 2 table
Neural Eikonal Solver: improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics
The concept of physics-informed neural networks has become a useful tool for
solving differential equations due to its flexibility. There are a few
approaches using this concept to solve the eikonal equation which describes the
first-arrival traveltimes of acoustic and elastic waves in smooth heterogeneous
velocity models. However, the challenge of the eikonal is exacerbated by the
velocity models producing caustics, resulting in instabilities and
deterioration of accuracy due to the non-smooth solution behaviour. In this
paper, we revisit the problem of solving the eikonal equation using neural
networks to tackle the caustic pathologies. We introduce the novel Neural
Eikonal Solver (NES) for solving the isotropic eikonal equation in two
formulations: the one-point problem is for a fixed source location; the
two-point problem is for an arbitrary source-receiver pair. We present several
techniques which provide stability in velocity models producing caustics:
improved factorization; non-symmetric loss function based on Hamiltonian;
gaussian activation; symmetrization. In our tests, NES showed the
relative-mean-absolute error of about 0.2-0.4% from the second-order factored
Fast Marching Method, and outperformed existing neural-network solvers giving
10-60 times lower errors and 2-30 times faster training. The inference time of
NES is comparable with the Fast Marching. The one-point NES provides the most
accurate solution, whereas the two-point NES provides slightly lower accuracy
but gives an extremely compact representation. It can be useful in various
seismic applications where massive computations are required (millions of
source-receiver pairs): ray modeling, traveltime tomography, hypocenter
localization, and Kirchhoff migration.Comment: The paper has 14 pages and 6 figures. Source code is available at
https://github.com/sgrubas/NE
Surface temperature trends in Russia over the past five centuries reconstructed from borehole temperatures
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94976/1/jgrb13614.pd
Hybrid Kinematic-Dynamic Approach to Seismic Wave-Equation Modeling, Imaging, and Tomography
Estimation of the structure response to seismic motion is an
important part of structural analysis related to mitigation of
seismic risk caused by earthquakes. Many methods of computing
structure response require knowledge of mechanical properties of
the ground which could be derived from near-surface seismic
studies. In this paper we address computationally efficient
implementation of the wave-equation tomography. This method allows
inverting first-arrival seismic waveforms for updating seismic
velocity model which can be further used for estimating mechanical
properties. We present computationally efficient hybrid
kinematic-dynamic method for finite-difference (FD) modeling of
the first-arrival seismic waveforms. At every time step the FD
computations are performed only in a moving narrowband following
the first-arrival wavefront. In terms of computations we get two
advantages from this approach: computation speedup and memory
savings when storing computed first-arrival waveforms (it is not
necessary to make calculations or store the complete numerical
grid). Proposed approach appears to be specifically useful for
constructing the so-called sensitivity kernels widely used for
tomographic velocity update from seismic data. We then apply the
proposed approach for efficient implementation of the
wave-equation tomography of the first-arrival seismic waveforms
Spatial distribution of Pleistocene/Holocene warming amplitudes in Northern Eurasia inferred from geothermal data
International audienceWe analyze 48 geothermal estimates of Pleistocene/Holocene warming amplitudes from various locations in Greenland, Europe, Arctic regions of Western Siberia, and Yakutia. The spatial distribution of these estimates exhibits two remarkable features. (i) In Europe and part of Asia the amplitude of warming increases toward the northwest and displays clear asymmetry with respect to the North Pole. The region of maximal warming is close to the North Atlantic. A simple parametric dependence of the warming amplitudes on the distance to the warming center explains 91% of the amplitude variation. The Pleistocene/Holocene warming center is located northeast of Iceland. We claim that the Holocene warming is primarily related to the formation (or resumption) of the modern system of currents in the North Atlantic. (ii) In Arctic Asia, north of the 68-th parallel, the amplitude of temperature change sharply decreases from South to North, reaching zero and even negative values. These small or negative amplitudes could be attributed partially to a joint influence of Late Pleistocene ice sheets. Using a simple model of the temperature regime underneath the ice sheet we show that, depending on the relationship between the heat flow and the vertical ice advection velocity, the base of the glacier can either warm up or cool down. Nevertheless, we speculate that the more likely explanation of these observations are warm-water lakes thought of have formed in the Late Pleistocene by the damming of the Ob, Yenisei and Lena Rivers
The study of the relationship between thermal conductivity and porosity, permeability, humidity of sedimentary rocks of the West Siberian Plate
The determination of correlation between thermal conductivity and structural parameters (porosity, permeability, humidity) of sedimentary rocks is a very urgent task. This article analyzes and compares the results of measurements of these parameters for ~300 samples of Mesozoic sandstones and siltstones from the core of 18 wells drilled in the north-eastern and southern regions of the West Siberian plate. The thermal conductivity of all samples was measured in the dry state and some (90 samples) – after saturation with water. Porosity and permeability are determined for 280 and 230 samples, respectively. The obtained data are used to establish linear correlation connections between thermal conductivity, porosity and permeability. The most interesting are rather stable dependences of thermal conductivity of dry and water-saturated samples between themselves and with porosity. The established correlation dependences are interesting in practical terms. Some of them can be used to approximate the thermal conductivity of water-saturated rocks by measurements of dry rocks or even only by the porosity value. The relationship between the thermal conductivity of sedimentary rocks and porosity can be used for rapid assessment of porosity of rocks on advanced measurements of thermal conductivity of a full-size core. It is obvious that the revealed correlation connections require further clarification
ТРЕХМЕРНАЯ СКОРОСТНАЯ СТРУКТУРА ЗЕМНОЙ КОРЫ ЦЕНТРАЛЬНОЙ ЧАСТИ ОЗЕРА БАЙКАЛ ПО ДАННЫМ ЛОКАЛЬНОЙ СЕЙСМИЧЕСКОЙ ТОМОГРАФИИ
This work deals with the importance of studying seismicity and deep structure of the Earth’s crust in the region of the Baikal rift zone. The study presents a three-dimensional velocity structure of the Earth’s crust in the central part of Lake Baikal, obtained from the results of tomographic inversion of the travel times of P- and S-waves from more than 800 seismic events. Synthetic tests provide substantiation for the resolution of the tomographic inversion algorithm. The seismic structure of the crust was obtained to a depth of 35 km and has a direct relationship with the geological structure. The three-dimensional distributions of seismic P- and S-wave velocity anomalies are in good agreement with each other.The sharp contrast between the anomalies may indicate a difference in the material composition of the basement of the Central Baikal basin. At a 15-km depth below the Selenga River delta, there is observed a strong low-velocity anomaly which confirms the presence of a thick sedimentary cover therein. In the basement (at depths of 20 km or greater), to the northeast of the intersection between the Delta fault and the Fofanov fault, there occurs a high-velocity anomaly elongated towards the Olkhon Island. This anomaly is probably related to a rigid block in the earth’s crust. The same depths, on the western side of the Baikal-Buguldeika fault, show a reduced Vp/Vs ratio: 1.56–1.65 versus 1.70–1.75 in the adjacent areas. This indicates another type of basement rock composition and the presence of consolidated matter there.Besides, there has been made a more accurate hypocenter determination for further comparison between seismic events and active fault structures. For the central part of Lake Baikal, the distribution of seismicity mainly corresponds to depths of 10–22 km. The situation is different below the Selenga Delta – the only area where seismicity is observed at depths greater than 22 km, – which can be attributed to complex fault interactions.The velocity anomalies discussed herein are confined to reliably identified active faults and correlate well with the distribution of seismicity and gas hydrate structures.Работа посвящена актуальной теме изучения сейсмичности и глубинной структуры земной коры в районе Байкальской рифтовой зоны. В исследовании представлена трехмерная скоростная структура земной коры в центральной части оз. Байкал, полученная по результатам томографической инверсии времен пробега P- и S-волн от более чем 800 сейсмических событий. С помощью синтетических тестов обоснована разрешающая способность алгоритма томографической инверсии. Определена сейсмическая структура коры до глубины 35 км, которая имеет четкую связь с геологическим строением. Получены трехмерные распределения аномалий скоростей сейсмических P- и S-волн, которые согласуются между собой.Резкие контрасты аномалий могут свидетельствовать о различии в вещественном составе фундамента Центральной Байкальской котловины. На глубинах до 15 км в районе дельты р. Селенги наблюдается сильная низкоскоростная аномалия, что подтверждает наличие мощного осадочного чехла в этой области. В фундаменте (глубина 20 км и более), к северо-востоку от пересечения Дельтового и Фофановского разломов, наблюдается высокоскоростная аномалия, вытянутая в сторону о-ва Ольхон. Данная аномалия, вероятно, отражает жесткий блок в земной коре. На этой же глубине c западной стороны от Байкало-Бугульдейского разлома наблюдается пониженное соотношение Vp/Vs: 1.56–1.65 против 1.70–1.75 в прилежащих областях. Это свидетельствует об отличии породного состава фундамента и наличии здесь консолидированного вещества.Также в работе была уточнена локализация гипоцентров сейсмических событий для их последующего сопоставления с активными разломными структурами. Для центральной части озера Байкал распределение сейсмичности в основном соответствует глубинам 10–22 км. Под дельтой р. Селенги ситуация меняется (что авторы связывают со сложным взаимодействием разломов) – это единственная область, где сейсмичность наблюдается на глубинах более 22 км.Обсуждаемые в работе скоростные аномалии ограничены достоверно установленными активными разломами и коррелируют с распределением сейсмичности и газогидратных структур
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