Acquiring rotation data on the ocean bottom without rotation sensors

Barak, Ohad; Key, Kerry; Constable, Steven; Milligan, Paul A.; Ronen, Shuki

doi:10.1190/segam2015-5853301.1

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…数据采集与应用的重要性 , 并进行了可行性的研究 [77] . Barak等人 [78,79] 美国地调局曾在尼加拉瓜近海做过一次地震与电磁的联合观测 [80] , 如图5所示. 观测期间适逢一次…”

Section: 福大学(Stanford University)近10年来一直倡导除目unclassified

“…基于传感器和互联网+模式的云计算与大数据的融合发展对未来地球物理领域的技术走向是有现实启示意义的 [85,86] . the rotational records that rotated around Y, X and Z axis [78] 物理探测技术需要紧密结合大数据与云技术, 还将 [80] Figure 5 USGS report pertaining to the earthquake (indicated by the red star) that occurred during the SERPENT EM survey. The blue line indicates the EM ocean-bottom node lines, where the yellow dot is the position of the composite sensor which had a three-component translational geophone in addition to the EM sensors [80] 前, 中石化已搭建了基于Hadoop大数据技术、面向地震处理解释应用的数据管理平台, 开发了适用于地震数字信号处理、全局性求解和迭代算法的并行架构, 实现了地震常规处理、地震成像和地震反演的全并行化 ; 面向全球市场发布了基于大数据技术的 -Frame地震一体化软件平台; 并进一步实现了面向软件生态系统 [87,88] [80] Figure 6 Data of the first 14 s of the earthquake that occurred during the SERPENT survey.…”

Section: 云技术与地球物理大数据mentioning

confidence: 99%

“…(a) Particle velocity recorded by 3C geophone; (b) deviations in projection of magnetic field on 2C horizontal magnetometer components; (c) three components of rotation rate derived from the 2C magnetometer data. Note the strong amplitudes of the radial geophone component and how there is some correspondence between it and the pitch rotational component [80] 相当长时间需要重点关注: 电性和弹性各向异性产…”

Section: 云技术与地球物理大数据mentioning

confidence: 99%

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Anisotropic geophysics and vector field

et al. 2017

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It has been proved that the physical anisotropies of earth medium, such as resistivity, electric susceptibility, velocity, and quality factor, et al., exist and can't be ignored. For this reason, researches on anisotropy began tens of years ago and now become a hotspot in the field of seismology and geo-electromagnetism in recent years. Promoted by development of information sciences and technology, especially driven by technological progresses of sensor, storage and communication of big dataset, the observations of geophysical field have been upgraded to 2-and 3-dimensional, multi-component vector and tensor measurements at different elevations and spatial sizes, such as 6-component seismic and 5-component MT acquisition provided the possibilities of anisotropic inversion and more precise prediction on physical parameters in geosciences. However, serious challenges have been faced by the traditional geophysics, just because the theoretical principles, methods and techniques of geophysics were built on the basis of scalar observation, and massive vector data are observed and their sharing and utilization become an incontrovertible trend. Thus, in this No.567 Xiangshan-Science Conferences, the progresses and problems in the study of anisotropic geophysics and vector field were introduced and analyzed according to 4 sections. First, different scale and types of vibrations from 6-component earthquake, 3-component seismic exploration and micro-seismic monitoring, and the relations in between are presented and discussed. Secondly, numerical simulations and inversions of resistivity anisotropy are given more discussions; especially on the non-uniqueness of anisotropic inversions for apparent resistivity, tensor observation and azimuthal acquisition were also addressed. Thirdly, the joint geophysical measurements from different altitudes, including well logging, underground geophysical prospecting, airborne and satellite geophysical observations are expected to be used on land, in the ocean and in the air. Finally, instruments of vector seismic sensing and tensor MT and CSAMT, processing techniques of vector signals and software system, communication and storage of big geophysical datasets, including advanced technologies on compressed sensing, were introduced respectively. All these presentations could not be covered in detail within one paper, though, the basic scientific and technological problems about computational geophysics, active or passive seismology, and anisotropic electromagnetism will be focused on, while the detailed discussions on different geophysical fields will follow in other papers, so that the issues on the fundaments and generality of anisotropic geophysics could be studied extensively in the future.

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Section: 福大学(Stanford University)近10年来一直倡导除目unclassified

Section: 云技术与地球物理大数据mentioning

confidence: 99%

Section: 云技术与地球物理大数据mentioning

confidence: 99%

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Anisotropic geophysics and vector field

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“…Osen et al 2002;Amundsen et al 2013). Barak et al (2013Barak et al ( , 2015 recently discussed the potential benefit of using rotational data acquired on the sea bottom for enhanced wavefield characterization.…”

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Spatial wavefield gradient-based seismic wavefield separation

Renterghem

Schmelzbach

Sollberger

et al. 2017

Geophysical Journal International

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Measurements of the horizontal and vertical components of particle motion combined with estimates of the spatial gradients of the seismic wavefield enable seismic data to be acquired and processed using single dedicated multicomponent stations (e.g. rotational sensors) and/or small receiver groups instead of large receiver arrays. Here, we present seismic wavefield decomposition techniques that use spatial wavefield gradient data to separate land and ocean bottom data into their upgoing/downgoing and P/S constituents. Our method is based on the elastodynamic representation theorem with the derived filters requiring local measurements of the wavefield and its spatial gradients only. We demonstrate with synthetic data and a land seismic field data example that combining translational measurements with spatial wavefield gradient estimates allows separating seismic data recorded either at the Earth's free-surface or at the sea bottom into upgoing/downgoing and P/S wavefield constituents for typical incidence angle ranges of body waves. A key finding is that the filter application only requires knowledge of the elastic properties exactly at the recording locations and is valid for a wide elastic property range.

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Recording active-seismic ground rotations using induction-coil magnetometers

et al. 2018

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Most of the current rotational sensing technology is not geared toward the recording of seismic rotations' amplitudes and frequencies. There are few instruments that are designed for rotational seismology, and the technology for building them is currently being developed. There are no mass industrial producers of seismic rotation sensors as there are for geophones, and only one current sensor model can be deployed on the ocean bottom. We reviewed some current rotationalseismic acquisition technologies, and developed a new method of recording rotations using an existing, robust and fielddeployable technology that had seen extensive use in large exploration surveys: induction-coil magnetometers. We conducted an active seismic experiment, in which we found that magnetometers could be used to record seismic rotations. We converted the magnetometer data to rotation-rate data, and validated them by comparing the waveforms and amplitudes with rotation rates recorded by electrokinetic rotation sensors.

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Acquiring rotation data on the ocean bottom without rotation sensors

Cited by 6 publications

References 10 publications

Anisotropic geophysics and vector field

Anisotropic geophysics and vector field

Spatial wavefield gradient-based seismic wavefield separation

Recording active-seismic ground rotations using induction-coil magnetometers

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