Open data
Dictionary entry for Open data (edit) |
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<translate> Open datasets are explicitly and clearly licensed for use by anyone without permission from the rights holder. The purpose may or may not be restricted by the terms of the license — common exclusions are 'attribution' and 'non-commercial', though some people do not consider 'non-commercial' restricted data to be open sensu stricto. Public domain datasets are unrestricted in use or range, and have no license. </translate> |
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
NOTE: Please visit this page for internet-accessible exploration and geophysical consortia.
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.
Well log locations are:
- East 10080 m North 23900 m
- East 12020 m North 23900 m
- East 15020 m North 23900 m
- East 27020 m North 23900 m
- 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.
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.
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.
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.
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 http://www.nzpam.govt.nz/cms 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.
Opunake-3D
This 3D MARINE New Zealand Project has a final migrated stack. The volume is 10 GBytes. For more information click here.
Parihaka-3D
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.
Kahu-3D
This 3D MARINE New Zealand Project has a final migrated stack. The volume is 6.2 GBytes. For more information click here.
Kerry-3D
This 3D MARINE New Zealand Project has a final migrated stack. The volume is 1 GByte. For more information click here.
Tui-3D
This 3D MARINE New Zealand Project has a final migrated stack. The volume is 9 GBytes. For more information click here.
Waihapa-3D
This 3D land New Zealand Project has a final migrated stack. The volume is .7 GBytes. For more information click here.
Waipuku-3D
This 3D land New Zealand Project has a final migrated stack. The volume is .4 GBytes. For more information click here.
Waka-3D
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.
Natual 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.
2D synthetic seismic data
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 click here
This data is also distributed 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.
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.
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.
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.
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 3D modeling Salt Model Phase-C 1996
This model was built by the SEG research committee, and created 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:
- SEG C3 WA, the phase 3, Wide Azimuth Classic Subset click here to download and for more information.
- SEG C3 NA, the phase 3, Narrow Azimuth Classic Subset click here to download and for more information. This is the most widely used subset.
- SEG 45 Shot Subset click here to download and for more information.
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 http://eros.usgs.gov/elevation-products.
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: https://lta.cr.usgs.gov/SRTM1Arc).
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: https://lta.cr.usgs.gov/NED.
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:
http://www.opentopography.org/index.php
National Oceanic and Atmospheric Administration (NOAA)'s National Geophysical Data Center provides bathymetry and global relief data at http://www.ngdc.noaa.gov/mgg/bathymetry/relief.html.
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 http://software.seg.org/. 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: