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Search Results: 1 - 10 of 16362 matches for " seismic data "
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Seismic Data Collection with Shakebox and Analysis Using MapReduce  [PDF]
Bin Tang, Jianchao Han, Mohsen Beheshti, Garrett Poppe, Liv Nguekap, Rashid Siddiqui
Journal of Computer and Communications (JCC) , 2015, DOI: 10.4236/jcc.2015.35012

In this paper we study a seismic sensing platform using Shakebox, a low-noise and low-power 24- bit wireless accelerometer sensor. The advances of wireless sensor offer the potential to monitor earthquake in California at unprecedented spatial and temporal scales. We are exploring the possibility of incorporating Shakebox into California Seismic Network (CSN), a new earthquake monitoring system based on a dense array of low-cost acceleration seismic sensors. Compared to the Phidget/Sheevaplug sensors currently used in CSN, the Shakebox sensors have several advantages. However, Shakebox sensor collects 4K Bytes of seismic data per second, giving around 0.4G Bytes of data in a single day. Therefore how to process such large amount of seismic data becomes a new challenge. We adopt Hadoop/MapReduce, a popular software framework for processing vast amounts of data in-parallel on large clusters of commodity hardware. In this research, the test bed-generated seismic data generation will be reported, the map and reduce function design will be presented, the application of MapReduce on the testbed-generated data will be illustrated, and the result will be analyzed.

Integration of Well Logs and Seismic Data for Prospects Evaluation of an X Field, Onshore Niger Delta, Nigeria  [PDF]
Godwin Emujakporue, Cyril Nwankwo, Leonard Nwosu
International Journal of Geosciences (IJG) , 2012, DOI: 10.4236/ijg.2012.324088
Abstract: Hydrocarbon reservoir beds have been delineated using direct hydrocarbon indicator on seismic sections as well as well logs data in X field, Onshore Niger Delta. The research methodology involved horizon interpretation to produce sub-surface structure map. Geophysical well log signatures were employed in identifying hydrocarbon bearing sand. The well-to-seismic tie revealed that the reservoir tied directly with hydrocarbon indicator (bright spot) on the seismic sections. The major structure responsible for the hydrocarbon entrapment is anticline. The crest of the anticline from the depth structural map occurs at 3450 metres.
Seismic Signal and Data Analysis of Rock Media with Vertical Anisotropy  [PDF]
Yuan Zhao, Nan Zhao, Lin Fa, Meishan Zhao
Journal of Modern Physics (JMP) , 2013, DOI: 10.4236/jmp.2013.41003

This paper is concerned with anisotropic effects on seismic data and signal analysis for transversely isotropic rock media with vertical anisotropy. It is understood that these effects are significant in many practical applications, e.g. earthquake forecasting, materials exploration inside the Earth’s crust, as well as various practical works in oil industry. Under the framework of the most accepted anisotropic media model (i.e. VTI media, transverse isotropy with a vertical axis symmetry), with applications of a set of available anisotropic rock parameters for sandstone and shale, we have performed numerical calculations of the anisotropic effects. We show that for rocks with strong anisotropy, the induced relative depth error can be significantly large. Nevertheless, with an improved understanding of the seismic-signal propagation and proper data processing, the error can be reduced, which in turn may enhance the probability of forecasting accurately the various wave propagations inside the Earth’s crust, e.g. correctly forecasting the incoming earthquakes from the center of the Earth.

The EGU2010 SM1.3 Seismic Centers Data Acquisition session: an introduction to Antelope, EarthWorm and SeisComP, and their use around the World
Damiano Pesaresi
Annals of Geophysics , 2011, DOI: 10.4401/ag-4972
Abstract: Session SM1.3 - Seismic Centers Data Acquisition was part of the General Assembly 2010 of the European Geosciences Union (EGU) that took place in Vienna (Austria) from 2-7 May, 2010. This session was organized to present both the differences and similarities in the operations of different types of seismic data centers, to share the experiences and to stimulate constructive discussion. There are only a few, widely used, "all-in-one" data acquisition and processing packages available for seismic data centers, with two public-domain tools (SeisComP and EarthWorm) and one commercial tool (Antelope). The choice of any particular tool will depend on many different criteria, from operational aspects to scientific results, or on the availability of specific requirements in relation to a specific mission. The development of EarthWorm originally started in 1993 in the USA, and it was designed to replace the aging and vendor-tied, regional processing systems. Antelope, started around 1996, with the aim to have real-time data flow from field sensors to scientist. SeisComP also started in the nineties as a real-time data acquisition and processing system, and it evolved towards an early warning system for seismic observatories. Protocols have been established to exchange real-time waveform data between the different packages. In this introductory report, we outline the main characteristics of the three software packages for seismic data acquisition.
Real-time monitoring of seismic data using satellite telemetry
G. Calderoni,B. De Simoni,F. M. De Simoni,L. Merucci
Annals of Geophysics , 1997, DOI: 10.4401/ag-3881
Abstract: This article describes the ARGO Satellite Seismic Network (ARGO SSN) as a reliable system for monitoring, collection, visualisation and analysis of seismic and geophysical low-frequency data, The satellite digital telemetry system is composed of peripheral geophysical stations, a centraI communications node (master sta- tion) located in CentraI Italy, and a data collection and processing centre located at ING (Istituto Nazionale di Geofisica), Rome. The task of the peripheral stations is to digitalise and send via satellite the geophysical data collected by the various sensors to the master station. The master station receives the data and forwards them via satellite to the ING in Rome; it also performs alI the monitoring functions of satellite communications. At the data collection and processing centre of ING, the data are received and analysed in real time, the seismic events are identified and recorded, the low-frequency geophysical data are stored. In addition, the generaI sta- tus of the satellite network and of each peripheral station connected, is monitored. The procedure for analysjs of acquired seismic signals allows the automatic calculation of local magnitude and duration magnitude The communication and data exchange between the seismic networks of Greece, Spain and Italy is the fruit of a recent development in the field of technology of satellite transmission of ARGO SSN (project of European Community "Southern Europe Network for Analysis of Seismic Data" )
Importance of damage data from destructive earthquakes forseismic microzoning Damage distribution during the 1923 Kanto, Japan, earthquake
S. Midorikawa
Annals of Geophysics , 2002, DOI: 10.4401/ag-3542
Abstract: To verify the results of seismic microzoning and to improve techniques, the damage data of past destructive earthquakes is an important key reference. The damage data of the 1923 Kanto, Japan, earthquake in the epicentral region are collected and compiled to produce the most reliable and detailed damage map. The damage map is compared with the results from the existing damage assessment and is used to discuss revision of the site amplification evaluation.
From global seismotectonics to global seismic hazard
R. Muir-Wood
Annals of Geophysics , 1993, DOI: 10.4401/ag-4261
Modeling Investigation of Correlations between Elastic Properties Predicted by Rock Physics Model with Seismic Data (Case Study of an Iranian Oil Field)  [PDF]
Abolfazl Ezadi Sharif Abad, Ahmad Adib
Modeling and Numerical Simulation of Material Science (MNSMS) , 2018, DOI: 10.4236/mnsms.2018.83003
Abstract: Accurate characterization of seismic properties in the prediction of P-wave and S-wave velocities through carbonate reservoirs is necessary due to their intrinsic heterogeneity. Moreover, both the waves velocities mentioned above are applied to the uncertainty analysis as well as the complexity investigation presented in the carbonate reservoirs. In this study, three wells of an Iranian oil field which its formation is the upper part of the Sarvak (Mishrif) has been studied. In accordance with the petrophysical interpretation of this oil field using Geo-log software, a rock physics model has been constructed based on Xu-Payne model (2009) using Hampson-Russel software to predict the elastic properties like P-wave and S-wave velocities as well as density. In the following, some synthetic seismic traces have been created based on the rock physics model using Hampson-Russel software to obtain the correlation coefficients of the seismic data with both the predicted and measured elastic properties. As results, the obtained correlation coefficients show that the predicted elastic properties by the rock physics model have higher quality than the measured elastic properties. In addition, the correlation coefficients of the predicted elastic properties in the well number 1, 2, and 3 have approximately increased by 19.6, 21.3, and 18.2 percent, respectively, in comparison to the correlation coefficients of the measured elastic properties. Therefore, the predicted elastic properties can be replaced with the low-quality measured elastic properties. Eventually, some templates have been created to accurate characterization the carbonate reservoir based on the rock physics model and also show the high-quality correlations between the rock physics model and the measured data.
Integration of Geological, Geophysical and Seismological Data for Seismic Hazard Assessment Using Spatial Matching Index  [PDF]
Petya Trifonova, Metodi Metodiev, Petar Stavrev, Stela Simeonova, Dimcho Solakov
Journal of Geographic Information System (JGIS) , 2019, DOI: 10.4236/jgis.2019.112013
Abstract: Probabilistic seismic hazard assessment (PSHA) takes into account as much data as possible for defining the initial seismic source zone model. In response to this, an algorithm has been developed for integration of geological, geophysical and seismological data through a spatial index showing the presence or absence of a potential seismic source feature in the input data. The spatial matching index (SMI) is calculated to define the coincidence of independent data showing any indications for existence of a fault structure. It is applied for hazard assessment of Bulgaria through quantification of the seismic potential of 416 square blocks, 20 × 20 km in size covering the entire territory of Bulgaria and extended by 20 km outside of the country borders. All operations are carried out in GIS environment using its capabilities to work with different types of georeferenced spatial data. Results show that the highest seismic potential (largest SMI) is observed in 56 block elements (13% of the territory) clearly delineating cores of the source zones. Partial match is registered in 98 block elements when one of the features is missing. Not any evidence for earthquake occurrence is predicted by our calculation in 117 elements, comprising 28% of the examined area. The quantitative parameter for spatial data integration which is obtained in the present research may be used to analyze information regardless of its type and purpose.
Polarization Filtering Method for Suppressing Surface Wave in Time-Frequency Domain  [PDF]
Xiaoming Yang, Yang Gao, Wenzhong Zhang, Yanchun Wang, Meihua Lan
International Journal of Geosciences (IJG) , 2019, DOI: 10.4236/ijg.2019.104028
Abstract: In order to suppress the surface wave in three-component seismic exploration, according to the polarization characteristics of body wave and surface wave, a time-frequency domain polarization filtering method based on wavelet transform was studied. A covariance matrix was constructed in the time-frequency domain for the three-component seismic data, measured the polarization parameters of seismic waves. Combining the corresponding eigenvalues and eigenvectors of the matrix, the elliptic rate and elevation angle were used as constraints, and the polarization filter function was built to separate the surface waves. The separated surface waves were inversely transformed and then were adaptively subtracted from the original records. After the polarization filtering suppressed the surface wave, the signal-to-noise ratio of the converted wave was effectively improved. It laid a good foundation for the next seismic data processing and seismic exploration development. The actual data processing results show that the method can effectively extract surface waves from three-component seismic records and avoid the interference of surface waves on seismic signals.
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