Open data

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Open data on the SEG Wiki is a catalog of available open geophysical data online. SEG does not own or maintain the data listed on this page. All data posted on the Open Data page is free and available to the public. In some instances, you may have to ask permission from certain companies to use the data or meet certain requirements, but all data posted on the wiki is available for public use. In short, you do not need SEG’s permission to utilize the open data on the page for your research, thesis, lectures, or presentations. Depending on the data set you use, there might be attribution requirements, permissions to access data or other specific requests outlined for the individual data sets.

This page documents geophysical data that is readily available for download from the internet, via mail, or through special request. Key parts of the data documentation are:

  • A descriptive overview of the data including types of data available
  • Terms of use
  • How to obtain a copy of the data
  • How to obtain other support data
  • Links to publications
  • Please visit this page for internet-accessible exploration and geophysical consortia.


Machine Learning Blind-test Challenge at SEG 2020

Through the support of the Research Committee, this Machine Learning challenge-focused workshop at SEG 2020 (WC-18) will release a seismic training dataset to the public, and invite participants to submit predictions for a blind test dataset, presenting the results and methodology during the workshop. This will be similar in design and spirit to the Chevron FWI imaging Challenge workshops held in the 2012-2014 timeframe – a very successful and popular postconvention workshops.

The deadline for the Workshop has passed, but you are still welcome to download and experiment with the data. Learn more at this link.

About the data

The data includes a 3D seismic data volume and an accompanying "label" volume consisting of a seismic facies interpretation. You do not need to participate in the workshop to access the data. Both the seismic data and label volume are provided in SEG-Y format. Your task is to use this training dataset to build a machine-learning model that can predict the facies classifications for each pixel in a different, unlabeled 3D seismic volume with the same six facies categories. Additional information in the Readme file associated with the data, including how to participate in the challenge associated with the data.


  • Lead Organizer - Dimitri Bevc, Chevron
  • Co-organizers: Adam Halpert, Chevron; Sergey Fomel, University of Texas - Austin; Felix Herrmann, Georgia Institute of Technology; Cengiz Esmersoy, Schlumberger

SEAM open data

The SEG Advanced Modeling Program (SEAM) is a partnership between industry and SEG designed to advance geophysical science and technology through the construction of subsurface models and generation of synthetic data sets.

SEAM open data is hosted using the Google Drive online service. Please note that, due to their large size, Google Drive may notify you that it cannot offer preview or virus scanning functionality for certain of these files. This will not prevent you from downloading the files normally.

SEAM Phase I: Interpretation challenge I - Depth

Using the SEAM Phase I Model the Interpretation Challenge offers an excellent opportunity to learn interpretation skills, evaluate interpretation software on a small well known dataset and also identifying the uncertainty in determining important steps in risking a well being drilled.

SEAM Phase I: Interpretation challenge I – Time

Using the SEAM Phase I Model the Interpretation Challenge offers an excellent opportunity to learn interpretation skills, evaluate interpretation software on a small well known dataset and also identifying the uncertainty in determining important steps in risking a well being drilled.

Phase I 2D Data Sets

Elastic Earth Model Subset – 2D

Five earth models were generated in SEAM Phase I to simulate a realistic earth model of a salt canopy region of the Gulf of Mexico complete with fine-scale stratigraphy that includes oil and gas reservoirs. The model represents a 35 km EW x 40 km NS area and 15 km deep. The grid interval for the Elastic Earth model is 20 m x 20 m x 10 m (x,y,z). All model properties are derived from fundamental rock properties including v-shale (volume of shale) and porosities for sand and shale that follow typical compaction gradients below water bottom. Hence, properties have subtle contrasts at macro-layer boundaries, especially in the shallow section, generating very realistic synthetic data.

The Elastic Earth Model distribution is the model used for simulation of the SEAM Phase I RPSEA elastic data set. For the simulations, the minimum S-wave velocity was set at 600 m/s by compressing all S-wave velocities in the originally designed model having velocities between 100 and 800 m/s into a range between 600 and 800 m/s. This distribution has 3 binary files, one each for the density, P-wave velocity and the S-wave velocity. A README is also included.

This model 2D sub-set is 35KM in the east-west direction at North 23900 m. It is designed to be used with data sets:

  • Elastic 2DEW Classic
  • Elastic VSP – 2D Walk-Away

Elastic 2DEW Classic

This 2D East-West dataset contains all the traces and all the shots along North location 23900. The data is split-spread and contains receivers from East 0 to East 22500 m at an interval of 25 m making a total of 901 receivers per shot. There are 151 shots from East 3700 m to East 18700 m at an interval of 100 m. Traces are pressure recorded 15 m below the non-absorbing sea surface. Each trace contains 2001 samples at 8ms interval for a total length of 16 seconds.

Elastic VSP – 2D Walk-Away

This 2D walk-away VSP for well number 1 contains 4-component data. Well 1 is located at North 23900 m and East 10075 m. There are 151 EW shots along North 23900 m into 467 down hole 4 component receivers from a depth of 1000 – 7990 meters incrementing by 15 m. The 151 shots are from East 3700 m to East 18700 m at an interval of 100 m. In effect, the shots walk-away to both the West and East directions from the well. The shots are initiated 15 m below the non-absorbing sea surface. 4 traces per level are pressure and 3-components of particle acceleration. Each trace contains 2001 samples at 8ms interval for a total length of 16 seconds.

Well logs

Well logs were extracted from a specific node within the model that was built on a 20x20m grid and sampled every 10m in depth. Each well contains 21 properties. Download the data.

Well log locations are:

  1. East 10080 m North 23900 m
  2. East 12020 m North 23900 m
  3. East 15020 m North 23900 m
  4. East 27020 m North 23900 m
  5. East 15020 m North 22900 m

2D land seismic data

Poland 2D Vibroseis Line 001

This 2D land vibroseis dataset was donated to the public domain by Geofizyka Torun S.A, Poland. SEG Y data includes geometry in headers and uphole

For more information on the Poland 2D Vibroseis Line 001, click here.

2D marine seismic data

US east coast deep water line 32

This 242 km line is collected from a water depth of over 5 seconds to less than 0.3 seconds, and is provided by the U.S. Geological Survey. There are strong multiples, diffractors, and a bottom-simulating reflector (BSR) related the the gas hydrate. For more information on the US East Coast Deep Water Line 32, click here.

USGS Marine Seismic Data

The National Archive of Marine Seismic Surveys (NAMSS) is an archive of marine seismic reflection data hosted by the U.S. Geological Survey (USGS) that has been acquired by or contributed to the U.S Department of the Interior agencies. The archive contains a large, disparate set of surveys in SEG Y format from a variety of sources including WesternGeco, Chevron, and the Bureau of Ocean Energy Management (BOEM). New data is being added to the archive as it becomes available but as of January 2019, the archive contains 567 2D surveys covering 2,358,256km and 182 3D seismic surveys in waters surrounding the United States. All data is freely available.

Mobil AVO viking graben line 12

Mobil Oil Company released this 25 km line to be used at an SEG research workshop on Seismic inversion methods at the Los Angeles convention in 1994. Data includes prestack shot record data and measurement from two wells that intersect the line. It has been widely used to validate amplitude variation with angle/offset (AVA/AVO) and multiple attenuation algorithms. For more information on the Mobil Avo Viking Graben Line 12, click here.

PGS Simultaneous Source Marine Line

Petroleum Geo-Systems (PGS) provided marine blended source acquisition data for the IEEE signal processing competition in Tokyo (2017). The data in consists oe a 2768x256x256 (ntime, receiver, nshot) data matrix and a time delay metric for the time delay between consecutive shots. The data has 4 ms sample rate and is in Matlab format. No geometry information is available. There is a Jupyter notebook with Python to read the data. For more information click here

UK Mid-North Sea High & Rockall Trough 2D Surveys

Surveys acquired by the UK's Oil & Gas Authority in 2015, comprising nearly 20,000 line kilometres of newly acquired 2D broadband data, acquired and processed by WesternGeco. A further 20,000km of newly reprocessed legacy data also available, along with gravity and magnetics, and data from wells in the areas of interest. Published under the UK's Open Government Licence (compatible with Creative Commons Attribution Licence v4.0), and freely available to download (where practical) through CDA's UKOilandGasData system (free registration required). Field data is available on media.

UK South-West of Britain & East Shetland Platform 2D Surveys

Acquired under the UK Oil & Gas Authority's 2016 seismic programme and published under the Open Government Licence in 2017, these surveys comprise 19,000km of newly acquired 2D broadband seismic (by WesternGeco and PGS), including gravity and magnetic data. They are supplemented by a further 23,000km of newly reprocessed proprietary 2D seismic, including data acquired in the BGS' BIRPS deep seismic reflection survey. Data from over 200 wells in the areas of interest are also available. All data published is freely available to download (where practical) from CDA's UKOilandGasData system. Field data (or P-Up data for the PGS survey) is also available on media.

3D land seismic data

Teapot dome 3D survey

The Teapot Dome 3D Survey is a land 3D data set from Wyoming provided by the U.S. Department of Energy and RMOTC. After obtaining an FTP password, Post stack data, well logs, production history, and GIS data can be downloaded from the internet. Unprocessed prestack data is available via mail. For more information on the Teapot Dome 3D Survey, click here.

Stratton 3D survey

The Stratton 3D Survey is a small land 3D data set from South Texas. Files including raw field data with geometry, final migration, well loads, and inversion results can be anonymously downloaded from the Internet. Anyone who utilizes the Stratton seismic data in research, publishing or otherwise should acknowledge that the data were collected and made available for worldwide education and training by the Bureau of Economic Geology at the University of Texas at Austin.

For more information on the survey click here.

3D marine seismic data

F3 Netherlands

This small marine 3D (plus wells) is offshore Netherlands. It is available in OpendTect format on the dGB Open Seismic Repository under a Creative Commons (CC BY-SA) license: F3 Complete. It is also available as a seismic-only dataset: F3 Seismic Only.

The data are in OpendTect format, but can easily be exported from that tool into SEG Y format.

Poseidon 3D seismic, Australia

Near, Mid, Far, Full stack, PSDM seismic data (approximately 2900km2). Stacking velocities, and 7 in field wells. Processing reports. Creative commons license. ZGY and Segy files. Courtesy ConocoPhillips and Geoscience Australia

Penobscot 3D

This small marine 3D (plus wells) is offshore Nova Scotia, Canada. It is available in OpendTect format on the dGB Open Seismic Repository under a Creative Commons (CC BY-SA) license: Penobscot 3D. It is also available as a pre-stack seismic dataset from the same page (101 GB).

The data are in OpendTect format, but can easily be exported from that tool into SEG Y format.

Blake ridge 3D

This small marine 3D is offshore South Carolina, US. It is available in OpendTect format on the dGB Open Seismic Repository under a Creative Commons (CC BY-SA) license: Blake Ridge 3D. It is available as PreSTM and PreSDM stacks. Blake Ridge is one of the best studied gas hydrate sites in the world.

The data are in OpendTect format, but can easily be exported from that tool into SEG Y format.

North Sea Norne field

Full details at North Sea Norne field. These two datasets are provided by Statoil and its partners ENI and Petoro, and hosted by the Norwegian University of Science and Technology.

The North Sea Volve Data Village

Equinor (Former Statoil) recently disclosed the whole dataset from North Sea Volve field. The Volve field was discovered in 1993 (Discovery well 15/9-19 SR). Located in the central part of the north sea, 5 km north of Sleipner East, waterdepth 80 m.

The data set consists of 11 folders with a total of 5 TB and nearly 40,000 files. Most folders contain “readme” files. Some parts of the data set contains “Scandinavian letters æ,ø,å”. The folowing is a list of folder names:

  1. Geophysical Interpretations
  2. GeoScience_OW_Archive
  3. Production data
  4. Reports
  5. Reservoir_Model-Eclipse_model
  6. Reservoir_Model-RMS_model
  7. Seismic
  8. Well_logs
  9. Well_logs_pr_WELL
  10. Well_technical_data
  11. WITSML Realtime drilling data

For more information, click The Volve Data Village and The Volve Inventory List

SEG/DMEC Reference Mineral Exploration Data

This is a collection of reference geophysical data sets that can be used by members of the Earth science community for the purpose of research into new geophysical techniques. While the data is curated with a view to application in mineral exploration, the reference data sets may also be useful for any type of geophysical processing or geophysical modelling research.

New Zealand 3D

The New Zealand government collects seismic and well data and releases it to the public after a data confidentiality period of a few years. The purpose of releasing these data to the public is to promote development of New Zealand’s petroleum and mineral resources. These data can be used by students, academics, and industry provided publications and presentations acknowledge New Zealand Petroleum and Minerals for providing data.

New Zealand Crown Minerals provided 8 datasets, which are directly downloadabel from the following links.

In 2016, New Zealand Petroleum and Minerals has launched its most comprehensive Petroleum Exploration Data Pack, for more information, see the link here.


This 3D MARINE New Zealand Project has a final migrated stack. The volume is 10 GBytes. For more information click here.


This 3D marine New Zealand project has migrated near, mid far and full avo angle stacks. Each Volume is 4.7 GBytes. For more information click here.


This 3D MARINE New Zealand Project has a final migrated stack. The volume is 6.2 GBytes. For more information click here.


This 3D MARINE New Zealand Project has a final migrated stack. The volume is 1 GByte. For more information click here.


This 3D MARINE New Zealand Project has a final migrated stack. The volume is 9 GBytes. For more information click here.


This 3D land New Zealand Project has a final migrated stack. The volume is .7 GBytes. For more information click here.


This 3D land New Zealand Project has a final migrated stack. The volume is .4 GBytes. For more information click here.


This 3D MARINE New Zealand Project has a final migrated stack. The volume is 25 GBytes. For more information click here.

OpenGeoscience at British Geological Survey

British Geological Survey (BGS) has a wide range of datasets and wants to increase access to these by publishing as many as possible under OpenGeoscience. OpenGeoscience is a free service where you can view maps, download data, scans, photos and other information.

To search BGS datasets use GeoIndex, a map-based index of a wealth of information that BGS collected or have obtained from other sources, where Onshore GeoIndex and Offshore Geo Index are the index to onshore and offshore data, respectively. Open the web pages by clicking on the indexes, then following the “Help” or “How to” on the top right corner to download the data from area of interest (AOI). One probably needs to download ArcGIS Explorer to view the downloaded data.

For commercial datasets on British Geological Survey, one needs logon ID and should contact BGS directly.

Natural Resources Canada

Natural Resources Canada (NRC) develops and distributes a wide range of resources on Earth Sciences, including data and maps of grographical distributions of petroleum, natural gas and maps of oil fields and petroleum industries. The resources also comprises publication lists and erath sciences tools and applications. earth science tools and applications. For detailed information, click here.

Geological Survey of Canada (GSC) is a branch of the Earth Sciences Sector of Natural Resources Canada. Energy geoscience research at the Geological Survey of Canada involves the characterization of sedimentary basins and the assessment of their hydrocarbon potential which is the critical first-step research needed to properly assess the resource potential of a sedimentary basin. GSC develops and applies resource assessment methodologies to support national energy supply forecasts, to support economic development and to inform land use and infrastructure planning decisions in areas of potential oil and gas development. Detailed resources can be found on webpae of NRC, here

National Petroleum Reserve Alaska (NPRA), US Geological Survey

The National Petroleum Reserve, Alaska, (NPRA) Legacy Data Archive represents one of the largest geological and geophysical data sets held by the U.S. Geological Survey (USGS). The archive comprises a vast amount of seismic data, analysis, well files and documents from 2 large exploration programs, duirng 1944-1953 and 1974-1982.

The Alaska 2D land line 31-81 and 16-81 are 2 examples of all the seismic lines. One can select any other lines by typing the line numbers or choosing an area in the map.

Well reports and well logs for all the test wells and exploration wells are also available in the same place for free download.

Alaska 2D land line 31-81

This 2D land data, from the National Petroleum reserve Alaska, is provided by the U.S. Geological Survey (USGS). It is a short line with small statics. There is ground roll and noise bursts, but there is also good signal. Data includes unprocessed prestack data, final stack, and images of previous stack. Scripts for processing with Seismic Unix (su) are available. This is a good line to start experimenting with open data and su because there is a full processing sequence including data download, reformat, header loading, gain, prestack f-k filter, brute velocity estimation, brute stack, residual statics, final velocity analysis, final stack, and two types of post stack migration (phase shift and Kirchhoff migration). This 2D land data comes with executables for su release 43R1 on Linux, which is useful if su is not installed on your system. For more information on the Alaska 2D Land Line 31-81, click here.

Alaska 2D land line 16-81

This 2D land data, from the National Petroleum reserve Alaska, is provided by the U.S. Geological Survey (USGS). The Alaska 2D Land Line 16-81 intersects Land Line 31-81, and its processing sequence is the same as that used for Alaska 2D Land Line 31-81. Seismic Unix scripts and a research poster are available. When compared with line 31-81: the ground roll is weaker; there are fewer noise bursts; and there is a larger statics problem and more structure between 1 and 2 seconds. For more information on the Alaska 2D Land Line 16-81, click here.

Norwegian Petroleum Directorate

The Norwegian Petroleum Directorate (NPD) has the overall national responsibility for data from the Norwegian continental shelf (NCS). This data, combined with the NPD's overviews and analyses, comprise the factual basis for the petroleum activities. The resource accounts are updated annually.

On the webpage, the reader(s) can find links to the relevant (Topics), such (Production-licences),(Geology) and (Wellls) among others.

The NPD offers interactive (Maps) with geographical data for the NCS as well as map services for you to add in your own geographical information system (GIS). Among which one can find (Map of the NCS). The (Map of the NCS) shows all fields, discoveries, areas awarded and areas that have been opened for exploration activities up to date. The fact maps are integrated with NPD's (Factpages), where all the information is tabulated in text.

2D synthetic seismic data

AGL Elastic Marmousi

The AGL Elastic Marmousi model was created at the University of Houston, and was released by its authors Gary S. Martin, Robert Wiley and Kurt J. Marfurt with the permission of the program director of the Allied Geophysical Labs consortium in 2019.


The AGL elastic Marmousi model, also commonly referred to as the Marmousi2 model, is an elastic extension of the original Marmousi model created by Gary S. Martin, Robert Wiley and Kurt J. Marfurt (2004, 2006). The model has a lateral extension of 17 km and a depth of 3.5 km and includes a total of 199 layers geological layers, as well as an extended water layer of 450 m depth to simulate a deep water setting. The layers were derived from the same horizon picks that were used for the original Marmousi model and were supplied by Aline Bourgeois from the Institut Francais du Petrole (IFP). The simulated data were computed on a supercomputer system at the University of Houston (UH), supported by Sun Microsystems. The data set includes subsurface models for density, P-wave and S-wave velocity, as well as a series of processed data sets (NMO stacks, pre- and poststack time and depth migrated sections).

download with:

For more information including how to download the data, click here

1994 BP migration from topography

A Canadian overthrust synthetic dataset prepared by Sam Gray and Gary Maclean, using John Etgen's finite-difference code. It was created for the CSEG paper "Migration from topography: improving the near-surface image" by Gray and Marfurt. This data was widely circulated among Canadian contractor companies in the mid 1990's.

For more information including how to download the data, click here

1994 BP statics benchmark model

This dataset was created at the Amoco Tulsa Research Lab in 1994 by Mike O'Brien as part of a project to study methods for attacking statics in land data. The geology of the model is completely invented, not based on any specific play. It contains many different types of near-surface geology, generally representing geology thought to be responsible for statics. The model is 2D, purely acoustic, with a constant density. The model was used in two internal Amoco reports (F94-G-0059 and F95-G-0033) but was never published externally by Amoco. The model was released to a few academic institutions in the late 1990's. It is being released again in 2008 by popular request, courtesy of BP.

Although synthetic, the model is so detailed that with the noticeable exception of lacking ground roll (since it's acoustic) it looks very much like "real data".

For more information click here

This data is also distributed here.

1997 BP 2.5d migration benchmark model

This model was created by John Etgen and Carl Regone at Amoco for the paper "Strike shooting, dip shooting, widepatch shooting -- Does prestack migration care? A model study". This is a 2D dip line subset of the full 3D dataset. This dataset was meant to be a severe test of 2.5D Kirchhoff migration (the model is invariant in the Y direction). It was created to advocate wavefield migration methods, so it illustrates the limitations of Kirchhoff!

For more information click here

This data is also distributed here.

2004 BP velocity estimation benchmark model

This model was created by Frederic Billette and Sverre Brandsberg-Dahl as a blind test for the Velocity workshop at the 66th EAGE international meeting in Paris, France, in June 2004. The left side of the model is based on a geological cross section through the Western Gulf of Mexico. The central part the model is a simplified representation of geologic features in the Eastern/Central Gulf of Mexico and off-shore Angola. The right side of the model is a composite representation of velocity issues encountered in the Caspian Sea, North Sea or Trinidad. The model is popular for benchmarking prestack depth migration, especially reverse time migration.

For more information click here

This data is also distributed here.

2007 BP Anisotropic Velocity Benchmark

The 2007 BP TTI Velocity-Analysis Benchmark dataset was created by Hemang Shah and provided courtesy of BP Exploration Operation Company Limited ("BP"). It was originally used at the velocity-analysis workshop at the 2010 EAGE meeting in Barcelona, Spain.

For more information click 2007 BP Anisotropic Velocity Benchmark | here]]

This data is also distributed here.

Chevron GOM Full Waveform Inversion Synthetics for SEG workshops

Chevron distributed a series of 2D Elastic isotropic (Vp, Vs, Dn) marine benchmark synthetics, with and without free surface multiples. These data, used for the SEG workshop on Full Waveform Inversion in 2012, 2013, and 2014. 2012 and 2013 SEG workshops "Gulf of Mexico Imaging challenge" were designed to exercise FWI algorithms for complex salt shapes. Datasets included 2012 SEG model with and without surface multiples included complex salt bodies 2013 SEG model was based on The same earth model, but maximum offset was increased to 30 KM and maximum time to 23 seconds. A starting velocity model to assist inversion testing was made available in August of 2013. CSEM and MT data from the same earth model was distributed in August 2013 An anisotropic (tilted transverse isotropy or tti) version of the synthetic was released in November 2013.

For more information on the models above click Chevron GOM Full Waveform Inversion Synthetic and to download click here.

2014 SEG model released in April of 2014 uses a new earth model. To download click here

Hess VTI migration benchmark

This 2D synthetic dataset was generated using 2 different finite difference forward modeling softwares in VTI media. One of the softwares was developed internally at Hess. Data I was generated using this software and it contains surface multiples. The other software was obtained from SEPLIB, at Stanford University. Data II was generated using this software. This data is free of surface multiples.

For more information click here

This data is also distributed click here.

KFUPM-KAUST Red Sea model

The KFUPM-KAUST Red Sea model was created by Abdullatif A. Al-Shuhail, Wail A. Mousa, and Tariq Alkhalifah, through the support of King Fahd University of Petroleum & Minerals (KFUPM) and King Abdullah University for Science and Technology (KAUST), and provides interested researchers with seismic imaging of the Red Sea with a high-resolution 2D viscoelastic model and synthetic seismic data set.

SMAART models

SMAART (Subsalt Multiples Attenuation And Reduction Team) models — Pluto, Sigsbee, and Ziggy — are maintained and licensed by TNO and Delphi.

3D synthetic seismic data

SEG/EAGE Salt and Overthrust Models

The SEG/EAGE Salt and Overthrust models were created as part of a joint project between the Society of Exploration Geophysicists and the European Association of Geoscientists and Engineers. The datasets were originally released by the SEG as a part of the SEG/EAGE 3-D Modeling Series and are redistributed with the consent of the authors and the corresponding institutions.


The SEG/EAGE Salt and Overthrust models are two 3-D geological models that were created as part of a multi-phase collaboration between the SEG and EAGE, with funding from the U.S. Department of Energy National Laboratories, as well as several institutions from industry and academia. The models were developed by an SEG/EAGE 3-D Modeling committee, which was co-chaired by by Fred Aminzadeh (University of Southern California) and Fabio Rocca (Politecinio di Milano).

The two datasets consist of the 3-D subsurface velocity models, as well as model surfaces and supplementary documentation. Refer to the appendix of the accompanying CD booklet for a full description of the content.

Instructions to download the original SEG/EAGE distribution CD's are at the link: SEG/EAGE Salt and Overthrust Models

SEG/EAGE 3D modeling Salt Model Phase-C 1996

Synthetic traces for the Salt Model were computed as part of the Advanced Computational Technology Initiative, in partnership with the United States Department of Energy National Laboratories and Technology Centers. The bulk of the computation was done at Sandia and Los Alamos National Laboratories. The modeling resulted in shot records with a large areal receiver array. These data were not retained, but three famous subsets archived by Chuck Mosher are still available:

For more information, email Chuck Mosher. Or, click here.

3D 9C synthetic VSP data

The 3D 9C synthetic VSP data sets were calculated to understand processing challenges caused by laterally-varying anisotropy in the presence of statics.

For data and detailed documentation, click here

Gravity and magnetic data

Satellite data

There is satellite acquired data, curated by the University of California, San Diego (UCSD) and publicly available at the the UCSD website.

Also available is the GOCE data and the recently launched Cryosat, both by the European Space Agency. For more information on accessing these data, click here.

Bishop Model

Topographic data for a portion of the volcanic tablelands area north of Bishop, CA has been upscaled by a factor of 30 in x,y, and z dimensions and then shifted in the depth direction such that the structures are all now subsurface (approx 100 to 9300 meters subsea) to use as a test data set for gravity and magnetic calculations (see image below).

Forward calculations of the gravity and magnetic fields were done using GM-SYS-3D from Northwest Geophysical using default extrapolation parameters for a series of models using the depth model with some arbitrary additional susceptibility boundaries added to represent basement lithologic changes/intrusives. The magnetic field was calculated for each model using inclinations of 0, 30, 45, 60 and 90 degrees and a total field of 50,000 nT. Additionally the fields were calculated using varying depths to the base of the magnetic layer (15000 m, 20000 m, 30000 m and a Moho varying from approximately 33000 to 22000 m generated to approximate a passive margin setting).

For more information on the Bishop Model, click here.

Chevron GOM Full Waveform Inversion Seismic CSEM and MT Synthetic

In August of 2013 Chevron distributed CSEM and MT data from the same earth model used in the SEG and EAGE workshops on GOM Full Waveform Inversion. For more information and to download, click here.

Topographic and bathymetric data

Global and regional topographic datasets are available on the United States Geological Survey (USGS) website at

Global elevation data acquired by the Shuttle Radar Topography Mission (SRTM) covers ~80% of the Earth's Surface at 1 arc-second (approximately 30 m) resolution for the United States and 3 arc-second (approximately 90 m) resolution globally (available here:

The National Elevation Dataset (NED) is the primary elevation data product of the USGS. The NED is a seamless dataset with the best available raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands. The NED is updated on a nominal two month cycle to integrate newly available, improved elevation source data. All NED data are public domain. NED data are available nationally (except for Alaska) at resolutions of 1 arc-second (about 30 meters) and 1/3 arc-second (about 10 meters), and in limited areas at 1/9 arc-second (about 3 meters). NED data are available for download here:

High-resolution (meter to sub-meter scale), Earth science-oriented, topography data acquired with LiDAR (light detection and ranging) and other technologies are available at:

National Oceanic and Atmospheric Administration (NOAA)'s National Geophysical Data Center provides bathymetry and global relief data at

Dutch Ministry of Economic Affairs Data Release

This site provides information about oil, gas and geothermal energy exploration and production in the Netherlands and the Dutch sector of the North Sea continental shelf. It aims to help users access information furnished by the Dutch government in an easy, comprehensible fashion.

This site was produced at the request of the Dutch Ministry of Economic Affairs and is being managed by TNO, Geological Survey of the Netherlands.

Full details at Go to "Data" tab to browse the list of data available.

Geophysical Software and Algorithms

In 2004, the editors of the journal GEOPHYSICS decided to create a new section, "Geophysical software and algorithms". Papers that appear in that section of the journal include source code, which will be available online at The papers will generally not include the source code themselves, but only a pointer to a URL. It is intended that these URL's should continue working into the indefinite future.

Geophysical Software and Algorithms papers must describe a useful algorithm for solving a problem of geophysical significance. Papers should describe a problem, how the algorithm is meant to solve the problem, and the workings of the algorithm itself. Well documented ASCII source code must be included as part of the submission, along with sufficient supporting files to allow computer-literate readers to run and verify the code. The source code and supporting documentation do not need to be included in the text of the paper itself, but will be reviewed as an integral part of the submission.

On an experimental basis, the site is also being used to distribute public datasets of interest to researchers in exploration geophysics.

Candidate open data

Please nominate the open datasets that we need to add to this page at this location Candidate open data:

See also