seismic properties
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Author(s):  
Дж.К. Карапетян ◽  
А.З. Чилингарян ◽  
К.А. Карапетян ◽  
Г.А. Мкртчян

В статье излагаются результаты инженерно-геофизических исследований на территории новой компрессорной станции Специального подземного хранилища газа (СПХГ) в г. Абовян (Армения). Учитывая то, что Республика Армения находится в сейсмоактивной зоне, проведение данных исследований является весьма актуальными, а новая компрессорная станция Специального подземного хранилища газа является особо важным объектом. Целью работы является выявление для данной территории особенности удельного электрического сопротивления грунтов, наличие блуждающих токов (БТ), оценка коррозийной агрессивности грунтов, изучение сейсмических условий и оценка ожидаемой сейсмической интенсивности на территории, намеченной под строительство. Методы работы. Определение удельного (кажущегося) электрического сопротивления грунтов исследуемой территории производилось методом электропрофилирования с использованием симметричной четырехэлектродной установки Веннера. В статье представлены пункты измерения удельного электрического сопротивления грунтов на территории новой компрессорной станции Абовянского СПХГ, выявлено наличие блуждающих токов, приведены таблицы степени коррозионной агрессивности грунтов, указаны места наличия опасного уровня блуждающих токов. Также проведены работы по сейсмическому микрорайонированию для определения величины ожидаемой сейсмической интенсивности конкретной территории компрессорной станции. Ожидаемая сейсмическая интенсивность на данной территории определена на основе анализа инженерно-геологических материалов с учетом результатов полевых инженерно-сейсмометрических инструментальных исследований. С помощью малоглубинной сейсморазведки были определены скорости распространения сейсмических волн. Измерения проводились горизонтально-ориентированным сейсмоприемником СМ-3 (вертикальный удар). Ударные волны создавались импульсным возбуждением. Для обеспечения необходимой мощности возбуждения импульсное воздействие создавалась с помощью падающего груза. Результаты работы. В статье приведены сейсмические условия территории, результаты сейсмометрических исследований,данные по наблюдениям микросейсм, спектры Фурье преобладающих периодов по некоторым точкам наблюдений, схема инженерно-сейсмометрических наблюдений. В результате проведенных исследований установлено, что грунтовые условия данной территории относятся к грунтам первой категории по сейсмическим свойствам. Ожидаемую сейсмическую опасность исследованной территории необходимо характеризовать следующими значениями: I=7 баллов или PGA=0,24 g. The article presents the results of engineering-geophysical studies on the territory of the new compressor station of the Special Underground Gas Storage (SPGS) in the city of Abovyan (Armenia). Considering that the Republic of Armenia is located in a seismically active zone, these studies are highly relevant, and the new compressor station of the Special Underground Gas Storage is especially important object. The Aim of the presented work is to identify the features of the specific electrical resistivity of soils, the presence of stray currents, assess the corrosive aggressiveness of soils, seismic conditions of the territory and the expected seismic intensity in the area designated for construction. Methods. The determination of the specific (apparent) electrical resistivity of the soils of the study area was carried out by the method of electrical profiling using symmetrical four-electrode Wenner setup. The article presents the points of measuring the electrical resistivity of soils in the territory of the new compressor station of the Abovyan SPGS, revealed the presence of stray currents, tables of the degree of corrosiveness of soils are given, the locations of the presence of a dangerous level of stray currents are indicated. Also works on seismic microzoning were carried out, the values of the expected seismic intensity of the compressor station territory were determined. The expected seismic intensity in this area has been determined based on analysis of engineering-geological materials, taking into account the results of field engineering-seismometric instrumental studies. By using shallow seismic surveys have determined the speed of seismic velocity. Measurements were carried out horizontally oriented seismic receiver SM-3 (vertical impact). Shock waves were generated by pulsed excitation. To provide the required excitation power the impulse action was created using a falling weight. Results. The article presents the seismic conditions of the territory, the results of seismometric studies, data on observations of microseisms, Fourier spectra of prevailing periods for some observation points, a scheme of engineering seismometric observations. As a result of the research carried out, it was found that that the soil conditions composing this territory belong to the soils of the first category in terms of seismic properties, the expected seismic hazard of the investigated area should be taken as I = 7 points or PGA = 0.24 g.


2021 ◽  
Author(s):  
Ivan Priezzhev ◽  
Dmitry Danko ◽  
Uwe Strecker

Abstract Instead of relying on analytical functions to approximate property relationships, this innovative hybrid neural network technique offers highly adaptive, full-function (!) predictions that can be applied to different subsurface data types ranging from (1.) core-to-log prediction (permeability), (2.) multivariate property maps (oil-saturated thickness maps), and, (3.) petrophysical properties from 3D seismic data (i.e., hydrocarbon pore volume, instantaneous velocity). For each scenario a separate example is shown. In case study 1, core measurements are used as the target array and well log data serve training. To analyze the uncertainty of predicted estimates, a second oilfield case study applies 100 iterations of log data from 350 wells to obtain P10-P50-P90 probabilities by randomly removing 40% (140 wells) for validation purposes. In a third case study elastic logs and a low-frequency model are used to predict seismic properties. KNN generates a high level of freedom operator with only one (or more) hidden layer(s). Iterative parameterization precludes that high correlation coefficients arise from overtraining. Because the key advantage of the Kolmogorov neural network (KNN) is to permit non-linear, full-function approximations of reservoir properties, the KNN approach provides a higher-fidelity solution in comparison to other linear or non-linear neural net regressions. KNN offers a fast-track alternative to classic reservoir property predictions from model-based seismic inversions by combining (a) Kolmogorov's Superposition Theorem and (b) principles of genetic inversion (Darwin's "Survival of the fittest") together with Tikhonov regularization and gradient theory. In practice, this is accomplished by minimizing an objective function on multiple and simultaneous outputs from full-function (via look-up table) Kolmogorov neural network runs. All case studies produce high correlations between actual and predicted properties when compared to other stochastic or deterministic inversions. For instance, in the log to seismic prediction better (simulated) resolution of neural network results can be discerned compared to traditional inversion results. Moreover, all blind tests match the overall shape of prominent log curve deflections with a higher degree of fidelity than from inversion. An important fringe benefit of KNN application is the observed increase in seismic resolution that by comparison falls between the seismic resolution of a model-based inversion and the simulated resolution from seismic stochastic inversion.


2021 ◽  
Author(s):  
Yukai Zhuang ◽  
Bo Gan ◽  
Zhongxun Cui ◽  
Ruilian Tang ◽  
Renbiao Tao ◽  
...  

2021 ◽  
Author(s):  
◽  
Rob Holt

<p>The Mѡ=7.1 Darfield (Canterbury) earthquake struck on 4 September 2010, approximately 45 km west of Christchurch, New Zealand. It revealed a previously unknown fault (the Greendale fault) and caused billions of dollars of damage due to high peak ground velocities and extensive liquefaction. It also triggered the Mw=6.3 Christchurch earthquake on 22 February 2011, which caused further damage and the loss of 185 lives. The objective of this research was to determine the relationship between stress and seismic properties in a seismically active region using manually-picked P and S wave arrival times from the aftershock sequence between 8 September 2010-13 January 2011 to estimate shear-wave splitting (SWS) parameters, VP =VS-ratios, anisotropy (delay-time tomography), focal mechanisms, and tectonic stress on the Canterbury plains. The maximum horizontal stress direction was highly consistent in the plains, with an average value of SHmax=116 18 . However, the estimates showed variation in SHmax near the fault, with one estimate rotating by as much as 30° counter-clockwise. This suggests heterogeneity of stress at the fault, though the cause remains unclear. Orientations of the principal stresses predominantly indicate a strike-slip regime, but there are possible thrust regimes to the west and north/east of the fault. The SWS fast directions (ø) on the plains show alignment with SHmax at the majority of stations, indicating stress controlled anisotropy. However, structural effects appear more dominant in the neighbouring regions of the Southern Alps and Banks Peninsula.</p>


2021 ◽  
Author(s):  
◽  
Rob Holt

<p>The Mѡ=7.1 Darfield (Canterbury) earthquake struck on 4 September 2010, approximately 45 km west of Christchurch, New Zealand. It revealed a previously unknown fault (the Greendale fault) and caused billions of dollars of damage due to high peak ground velocities and extensive liquefaction. It also triggered the Mw=6.3 Christchurch earthquake on 22 February 2011, which caused further damage and the loss of 185 lives. The objective of this research was to determine the relationship between stress and seismic properties in a seismically active region using manually-picked P and S wave arrival times from the aftershock sequence between 8 September 2010-13 January 2011 to estimate shear-wave splitting (SWS) parameters, VP =VS-ratios, anisotropy (delay-time tomography), focal mechanisms, and tectonic stress on the Canterbury plains. The maximum horizontal stress direction was highly consistent in the plains, with an average value of SHmax=116 18 . However, the estimates showed variation in SHmax near the fault, with one estimate rotating by as much as 30° counter-clockwise. This suggests heterogeneity of stress at the fault, though the cause remains unclear. Orientations of the principal stresses predominantly indicate a strike-slip regime, but there are possible thrust regimes to the west and north/east of the fault. The SWS fast directions (ø) on the plains show alignment with SHmax at the majority of stations, indicating stress controlled anisotropy. However, structural effects appear more dominant in the neighbouring regions of the Southern Alps and Banks Peninsula.</p>


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7225
Author(s):  
Chuantong Ruan ◽  
Jing Ba ◽  
José M. Carcione ◽  
Tiansheng Chen ◽  
Runfa He

Low porosity-permeability structures and microcracks, where gas is produced, are the main characteristics of tight sandstone gas reservoirs in the Sichuan Basin, China. In this work, an analysis of amplitude variation with offset (AVO) is performed. Based on the experimental and log data, sensitivity analysis is performed to sort out the rock physics attributes sensitive to microcrack and total porosities. The Biot–Rayleigh poroelasticity theory describes the complexity of the rock and yields the seismic properties, such as Poisson’s ratio and P-wave impedance, which are used to build rock-physics templates calibrated with ultrasonic data at varying effective pressures. The templates are then applied to seismic data of the Xujiahe formation to estimate the total and microcrack porosities, indicating that the results are consistent with actual gas production reports.


2021 ◽  
Author(s):  
Mohsen Bazargan ◽  
Bjarne Sven Guestav Almqvist ◽  
Hem Motra ◽  
Christoph Hieronymus ◽  
Sandra Piazolo

2021 ◽  
Vol 126 (10) ◽  
Author(s):  
Tongzhang Qu ◽  
Ian Jackson ◽  
Ulrich H. Faul

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