Comprehensive 2D and 3D multiclient seismic data library of the world's major hydrocarbon basins.

Addresses all geophysical and geological challenges from basin-scale 2D surveys to full-azimuth broadband 3D prospecting and appraisal surveys.

High-quality, multi-client 3D seismic data covering the Powder River Basin in Wyoming. This dataset supports deep imaging and subsurface exploration of the Wyoming Powder River Basin, including tertiary and Pennsylvanian rocks. The page features Powder River Basin map coverage and seismic attributes relevant to hydrocarbon-rich formations.

The UK Onshore Geophysical Library was established in 1994 in conjunction with the Department of Trade and Industry (DTI) and the UK Onshore Operators Group (UKOOG). The Library manages the archive and official release of seismic data recorded over landward areas of the UK. By agreement with the DTI and HMSO, the Library operates as a registered charity, funded by revenues raised from data sales and donations, with the long term objective of bringing all available UK onshore digital seismic data into secure archival storage, whilst providing efficient access to all interested parties. BGS has access to the data at cost of copying only for science budget work. Data index on the BGS Geoscience Data Index. This layer is only available at specific zoom levels. Please zoom to a larger scale to interrogate the map.

The UK Onshore Geophysical Library was established in 1994 in conjunction with the Department of Trade and Industry (DTI) and the UK Onshore Operators Group (UKOOG). The Library manages the archive and official release of seismic data recorded over landward areas of the UK. By agreement with the DTI and HMSO, the Library operates as a registered charity, funded by revenues raised from data sales and donations, with the long term objective of bringing all available UK onshore digital seismic data into secure archival storage, whilst providing efficient access to all interested parties. BGS has access to the data at cost of copying only for science budget work. Data index on the BGS Geoscience Data Index.

This dataset contains data from 2D seismic surveys collected on behalf of the Mining Remediation Authority or its predecessors. This information is served via the UK Onshore Geophysical library (UKOGL). It comprises raw and processed seismic data (pre and post stack) and is served in industry standard proprietary formats such as SEGY, which require specialist software to process.

Access to raw and pre-stack data under the Open Government Licence is available, but it may be subject to additional charges and fees. All seismic data not available under an Open Government Licence can still be licensed and accessed for both commercial and academic use through UKOGL.

Images generated from seismic data are available via the UKOGL interactive map viewer (https://ukogl.org.uk/).

This dataset contains data from 3D seismic surveys collected on behalf of the Mining Remediation Authority or its predecessors. This information is served via the UK Onshore Geophysical Library (UKOGL). It comprises raw and processed seismic data (pre and post stack) and is served in industry standard proprietary formats such as SEGY, which require specialist software to process.

Access to raw and pre-stack data under the Open Government Licence is available, but it may be subject to additional charges and fees. All seismic data not available under an Open Government Licence can still be licensed and accessed for both commercial and academic use through UKOGL.

Images generated from seismic data are available via the UKOGL interactive map viewer (https://ukogl.org.uk/).

This dataset contains data from 2D seismic surveys collected on behalf of the British Geological Survey or its predecessors. This information is served via the UK Onshore Geophysical library (UKOGL). It comprises raw and processed seismic data (pre and post stack) and is served in industry standard proprietary formats such as SEGY, which require specialist software to process.

Access to raw and pre-stack data under the Open Government Licence is available, but it may be subject to additional charges and fees. All seismic data not available under an Open Government Licence can still be licensed and accessed for both commercial and academic use through UKOGL.

Images generated from seismic data are available via the UKOGL interactive map viewer (https://ukogl.org.uk/).

Part of the SONGS project, this 2013 R/V Melville expedition conducted a 2D shallow seismic survey of the Newport Inglewood/Rose Canyon and Oceanside Blind Thrust fault systems in the vicinity of the San Onofre Nuclear Generating Station (SONGS), offshore California. The objectives included identifying the level of activity of the Newport Inglewood/Rose Canyon and Oceanside Blind Thrust faults, including their specific locations, geometries, and type of fault. These data were processed by University of Nevada, Reno and Scripps Institution of Oceanography. Funding was from Southern California Edison.

Seismic velocity model derived from the ocean-bottom seismometer (OBS) seismic refraction study of the Juan de Fuca Endeavour ridge segment of Cudrak and Clowes (1993). This seismic velocity model was used in locating the earthquakes that are listed in the associated earthquake catalog spanning the time period August 2003 - October 2006. Chief Scientist is Dr. William Wilcock. The data file is in ASCII format and was generated as part of a project called Linking stress changes and hydrothermal activity during a non-eruptive spreading event. The seismic velocity model was published as part of the Weekly et al., 2013 paper. Funding was provided by NSF grants OCE09-37006 and OCE09-37285.

These data layer are supplied by the UK Onshore Geophysical Library which manages the 2D & 3D seismic surveys acquired by the Exploration Industry on behalf of the Oil & Gas Authority. The Coal Authority seismic data is managed and held by the British Geological Survey. All original navigation locations as held by UKOGL are referenced to the British National Grid. Whilst all reasonable efforts have been made to validate the data supplied, UKOGL does not warrant the accuracy of the information presented. This data is also subject to ongoing revision and addition. This data is supplied for internal use only and written permission must be sought from UKOGL and approval granted for use of this data with any public facing service or web site. UKOGL: contact@ukogl.org.uk

Displays 2D seismic lines for which a jpeg image and an archived SEG-Yfile is downloadable from the SARIG website. Multiple versions of lines are presented for some lines particularly when only segments of lines were originally processed or when... Displays 2D seismic lines for which a jpeg image and an archived SEG-Yfile is downloadable from the SARIG website. Multiple versions of lines are presented for some lines particularly when only segments of lines were originally processed or when reprocessing has produced a superior output. It is intended to offer at least one version of each line for which data is available but it should be noted that a more extensive data library is available through the Petroleum and Geothermal Group. Over 8000 lines covering in excess of 150,000 line kilometers of data have SEG-Y data available from a period 1975 to current. Spatial data are not available for download from SARIG due to environmental and safety considerations, but are provided upon request in ASCII and ESRI shapefile. See contact information below. Attribute table provides links to downloadable SEG-Y data and JPEG images. To access jpeg: https://sarigbasis.pir.sa.gov.au/WebtopEw/ws/segy2d/web/jpeg/DDD/|JPEG File Name| Example: https://sarigbasis.pir.sa.gov.au/WebtopEw/ws/segy2d/web/jpeg/DDD/08GA-OM1_mig.jpg

The dataset contains 3D wide-angle seismic data from 18 ocean bottom nodes (OBXs) collected during RRS James Cook cruise JC254 in November 2023. The data were acquired at the 1330 Oceanic Core Complex (OCC) and the Semenov Hydrothermal Field region of the Mid-Atlantic Ridge at 13°30'N, and were shot in six sequences (SEM4A to SEM4F), along 15 profiles in total. Two GI-guns were used as seismic sources, each with a total volume of 355 cubic inches (250 cu. inch generator, 105 cu. inch injector chamber. The data were recorded at a sampling rate of 2000 Hz, with a shot interval of 20 s at a ship speed of 4 knots, resulting in shot interval of ~30 m, with no stop during profile turns. The data are provided in raw SEGY format, cut into four components (three geophone channels and one hydrophone channel). This dataset was collected to derive a seismic velocity structure of the 13°30'N OCC. The aim was to investigate the crustal or mantle lithologies in the 13°30'N OCC and to understand the interplay between tectonic faulting, magmatism, alteration and hydrothermal circulation at the ultramafic-hosted hydrothermal systems along slow-spreading ridges. The data were collected as part of a NERC-funded strategic research project called 'Ultramafic-hosted mineral Resource Assessment (ULTRA)', grant reference NE/S004068/1. The data were processed and interpreted as part of a PhD studentship hosted by the University of Southampton, awarded to Szu-Ying Lai, and funded by Equinor A.S, Norway.

The seismic interpretation library contains interpretative data from our active seismic investigations. It contains data from both commercial and research experiments and is stored in the Epos(Paradigm) database.

This 2012 R/V Langseth survey collected MCS data, 3.5 kHz single channel seismic reflection data, multibeam bathymetric data, multi-cores, gravity cores, and piston cores on the Line Island Ridge in the Pacific Ocean. The goals included collecting data that would capture paleooceanographic and paleoclimatic changes as recorded in sediment. Funded by NSF grant 1159053.

Multi-channel seismic (MCS) data were recorded by Sercel SEAL streamer and recording system during RRS James Cook expedition JC228 (December 2022 to January 2023) in the Guatemala Basin region of the North Pacific Ocean. The aim was to sample fast-spreading ocean lithosphere of the northern Cocos Plate from its formation to subduction in the Mid-America Trench. MCS data were recorded along a linear transect with grids in three focus areas; two on the passively cooling oceanic plate, the third spanned the transition into the subduction zone. This work aimed to deliver key information on the evolution of oceanic lithosphere as well as provide essential site survey information for two IODP Proposals: the flagship MoHole to Mantle initiative (M2M; IODP-805MDP) and the Bend Fault Serpentinization experiment (approved IODP-876Pre). The work was undertaken by scientists at the University of Southampton, UK in collaboration with GEOMAR Helmholtz Centre for Ocean Research, Germany, funded as part of NERC grant 'From Ridge to Trench, MoHole to Bend-Faults', grant reference NE/M021246/1.

Abstract A MATLAB-based computer code has been developed for the simultaneous wavelet analysis and filtering of multichannel seismic data. The considered time–frequency transforms include the continuous wavelet transform, the discrete wavelet transform and the discrete wavelet packet transform. The developed approaches provide a fast and precise time–frequency examination of the seismograms at different frequency bands. Moreover, filtering methods for noise, transients or even baseline removal, are im...

Title of program: SeismicWaveTool Catalogue Id: AENG_v1_0

Nature of problem Numerous research works have developed a great number of free or commercial wavelet based software, which provide specific solutions for the analysis of seismic data. On the other hand, standard toolboxes, packages or libraries, such as the MathWorks' Wavelet Toolbox for MATLAB, offers command line functions and interfaces for the wavelet analysis of one-component signals. Thus, software usually is focused on very specific problems or carries out the wavelet analysis from a wide point of view.

Versions of this program held in the CPC repository in Mendeley Data AENG_v1_0; SeismicWaveTool; 10.1016/j.cpc.2012.08.008

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Seismic data from volcano observatories and from laboratory experiments, plus description of novel methods of data analysis and synchronization. 6 papers - Library for volcanology and rock physics data analysis; An innovative platform to allow collaborative research in rock physics and volcanology; Trends in the aggregated rate of pre-eruptive seismicity at Kilauea volcano, Hawaii; Convergence of the frequency-size distribution of global earthquakes; Method for predictability of volcanic eruptions from monitored seismic data and; Evaluation of the failure forecasting model for volcanic eruptions.

DGGS Geologic Earth Resource Library of Alaska (GERILA) Database, Digital Data Series 22, is the enterprise database back-end to the Alaska Division of Geological & Geophysical Survey's (DGGS) website and enterprise data repository. GERILA serves as an index to geologic information that supports State of Alaska statutes relating to the potential of Alaskan land for the production of metals, minerals, fuels, and geothermal resources, the locations and supplies of groundwater and construction material (Sec. 41.08.010), and the potential geologic hazards to buildings, roads, bridges, and other installations and structures and systematic collection, recording, evaluation, and distribution of hydrological and seismic hazard data declared to be of public interest (Sec. 41.08.017). Much of the information stored in GERILA is viewable through DGGS's public website, which provides search interfaces for specific data modules, including our geologic publications catalog (https://dggs.alaska.gov/pubs). The database is actively updated as new information becomes available or published. Consequently, products developed from the database may change over time as information and data are updated. DGGS encourages public members to contact DGGS's Geologic Information Center staff (dggspubs@alaska.gov) to discuss potential changes to the data or resolve errors in our derivative products. See the DGGS citation page for the preferred citation and additional information (http://doi.org/10.14509/31119).

Part of the SONGS project, this 2013 R/V New Horizon expedition conducted a 2D shallow seismic survey, collecting both sparker and boomer data, in the vicinity of the San Onofre Nuclear Generating Station (SONGS), offshore California. The objectives included imaging the fault geometry in the seismogenic zone and determining the recurrence interval for the fault systems. These sparker data were processed by Geotrace. UTM navigation is in the headers of the original SEG-Y files. Funding was from Southern California Edison.

This data set was acquired with a Atlas Hydrosweep DS2 Multibeam Sonar system and LDEO Multi-Channel Seismic system assembled as part of the 2005 JdF:Endeavour_VanArk data compilation (Chief Scientist: Dr. Emily VanArk). These data files are of Fledermaus Binary format and include Fledermaus Visualization data and were processed after data collection. This data was cited by Van Ark et al., 2007.