Version: GOGI_V10_2This data was downloaded as a File Geodatabse from EDX at https://edx.netl.doe.gov/dataset/global-oil-gas-features-database. This data was developed using a combination of big data computing, custom search and data integration algorithms, and expert driven search to collect open oil and gas data resources worldwide. This approach identified over 380 data sets and integrated more than 4.8 million features into the GOGI database.Access the technical report describing how this database was produced using the following link: https://edx.netl.doe.gov/dataset/development-of-an-open-global-oil-and-gas-infrastructure-inventory-and-geodatabase” Acknowledgements: This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.Link to SourcePoint of Contact: Jennifer Bauer email:jennifer.bauer@netl.doe.govMichael D Sabbatino email:michael.sabbatino@netl.doe.gov

The Oil and Gas Infrastructure Mapping (OGIM) database is a global, spatially explicit, and granular dataset of oil and gas infrastructure. It is developed by Environmental Defense Fund (EDF) (www.edf.org) and MethaneSAT, LLC (www.methanesat.org), a wholly owned subsidiary of EDF. The OGIM database helps fill a crucial geospatial data need, by supporting the quantification and source characterization of oil and gas methane emissions. The database is developed via acquisition, analysis, curation, integration, and quality-assurance (performed at EDF) of publicly available geospatial data sources. These oil and gas facility datasets are reported by governments, industry, academics, and other non-government entities.

OGIM is a collection of data tables within a GeoPackage. Each data table within the GeoPackage includes locations and facility attributes of oil and gas infrastructure types that are important sources of methane emissions, including: oil and gas production wells, offshore production platforms, natural gas compressor stations, oil and natural gas processing facilities, liquefied natural gas facilities, crude oil refineries, and pipelines. OGIM v2.7 includes approximately 6.7 million features, including 4.5 million point locations of oil and gas wells and over 1.2 million kilometers of oil and gas pipelines.

Please see the PDF document in the “Files” section of this page for more information about this version, including attribute column definitions, key changes since the previous version, and more. Full details on database development and related analytics can be found in the following Earth System Science Data (ESSD) journal paper. Please cite this paper when using any version of the database:

Omara, M., Gautam, R., O'Brien, M., Himmelberger, A., Franco, A., Meisenhelder, K., Hauser, G., Lyon, D., Chulakadabba, A., Miller, C., Franklin, J., Wofsy, S., and Hamburg, S.: Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-15-3761-2023, 2023.

Important note: While the results section of this manuscript is specific to v1 of the OGIM, the methods described therein are the same methods used to develop and update v2.7. Additionally, while we describe our data sources in detail in the manuscript above, and include maps of all acquired datasets, this open-access version of the OGIM database does not include the locations of about 300 natural gas compressor stations in Russia. Future updates may include these locations when appropriate permissions to make them publicly accessible are obtained.

OGIM v2.7 is based on public-domain datasets reported in February 2025 or prior. Each record in OGIM indicates a date (SRC_DATE) when the original source of the record was published or last updated. Some records may contain out-of-date information, for example, if a facility’s status has changed since we last visited a data source. We anticipate updating the OGIM database on a regular cadence and are continually including new public domain datasets as they become available.

Point of Contact at Environmental Defense Fund and MethaneSAT, LLC: Madeleine O’Brien (maobrien@methanesat.org) and Mark Omara (momara@edf.org).

Oil, gas and water produced, and water used for hydraulic fracturing treatments for wells in and near the Permian Basin during 2000-2019 was estimated using data reported in IHS Markit (TM) (2020). Hydraulic fracturing treatment data from IHS Markit (TM) (2020) may include volumes in a variety of measurement units, and they may include multiple treatments per well. All listed treatments within the study area were converted to gallons and summed on a per-well basis, discounting any treatments for which the specified measurement units were unclear (for example, “sacks”, or “feet”), which were minor. The per-well treatment volumes and oil, gas, and water production were then aggregated via summation to a 1-mile grid using ArcGIS functions. The annual aggregated hydraulic fracturing treatment data were exported as annual GeoTIFF images with a resolution of 1 square mile per pixel and bundled into a archive file. This data is not part of the USGS Aggregated Water Use Database (AWUDS) or the National Water Information System (NWIS).

A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Kentucky. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Kentucky Oil and Gas Well Records database and saved as a shapefile of oil and gas well locations for Kentucky. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2005.

Big Data in Oil and Gas Market Outlook

As of 2023, the global big data in oil and gas market size is estimated to be approximately USD 21.5 billion. With a projected compound annual growth rate (CAGR) of 12.6%, the market is expected to surge to an impressive USD 55.2 billion by 2032. This considerable expansion is driven by the industry's increasing reliance on data analytics to enhance operational efficiency, optimize resource management, and minimize environmental impacts. The oil and gas sector is witnessing transformative changes propelled by technological advancements, necessitating the deployment of big data platforms to harness vast amounts of data generated across the value chain.

One of the primary growth drivers for the big data market in oil and gas is the urgent need for operational efficiency and cost reduction. With fluctuating oil prices and mounting environmental concerns, companies are under pressure to extract resources more efficiently and sustainably. Big data analytics helps in predicting equipment failures before they occur, optimizing drilling processes, and improving reservoir management. By leveraging predictive analytics and data-driven insights, oil and gas companies can make informed decisions that significantly reduce downtime, enhance production rates, and lower operational costs. This technological adoption is further accelerated by the integration of artificial intelligence and machine learning, which enable more sophisticated data analysis capabilities.

Another pivotal factor contributing to the market's growth is the increasing adoption of Internet of Things (IoT) solutions within the industry. IoT devices, such as sensors and drones, collect massive volumes of data from oil rigs, pipelines, and refineries. These data points are essential for monitoring equipment health, environmental conditions, and energy consumption. Big data analytics platforms process and analyze this information in real-time, allowing companies to quickly respond to operational challenges and optimize asset performance. The convergence of IoT and big data is revolutionizing the oil and gas sector by enhancing safety protocols, reducing emissions, and facilitating more efficient resource allocation.

The growing emphasis on environmental sustainability and regulatory compliance is also fueling market growth. Governments and environmental organizations worldwide are imposing stringent regulations on the oil and gas industry to minimize its ecological footprint. Big data analytics plays a crucial role in helping companies adhere to these regulations by monitoring emissions, tracking energy usage, and ensuring compliance with environmental standards. Furthermore, data-driven insights assist in planning and executing cleaner production techniques and exploring renewable energy alternatives. As environmental awareness increases, the demand for big data solutions in the oil and gas industry is expected to rise, further propelling market expansion.

From a regional perspective, North America currently holds a significant share of the market, primarily due to the early adoption of advanced technologies and the presence of leading oil and gas companies. The United States, in particular, is a frontrunner in implementing big data solutions across its extensive oil exploration and production activities. Meanwhile, the Asia Pacific region is anticipated to exhibit the highest growth rate owing to rapid industrialization, increasing energy demand, and substantial investments in digital technologies within countries such as China and India. Europe and Latin America are also witnessing steady growth as companies in these regions increasingly recognize the benefits of big data analytics in driving efficiency and sustainability in their operations.

Component Analysis

In the big data in oil and gas market, the component segment is categorized into software, hardware, and services. Each component plays a pivotal role in facilitating the comprehensive adoption and integration of big data solutions across the oil and gas value chain. The software segment is anticipated to account for the largest market share, driven by the need for advanced analytics tools and platforms that enable complex data processing and visualization. Software solutions such as data management systems, predictive analytics platforms, and visualization tools are crucial for extracting actionable insights from vast datasets, thereby enhancing decision-making processes and operational efficiency.

The hardware segment encompasses the physical infrastructure required to support big data analytics, includ

The Oil and Gas Rights dataset contains the digital boundaries for existing exploration licences, significant discovery licences, production licences, former permits, former leases and the Norman Wells Proven Area. These boundaries are available for download on the Northern petroleum pesources Website at https://www.rcaanc-cirnac.gc.ca/eng/1100100036087/1538585604719. The Oil and Gas Rights dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC) primary source for northern petroleum titles geographic location on maps.

The United States Documented Unplugged Orphaned Oil and Gas Well (DOW) dataset contains 117,672 wells in 27 states. The definition of an orphaned oil or gas well varies across data sources; the dataset includes oil or gas wells where the state indicates that the well is an unplugged orphan, or the following criteria are met: 1) no production for an average of 12 months (6 to 24 months depending on the state), 2) the well is unplugged, 3) there is no responsible party to manage the well for future re-use or for plugging and abandonment, and 4) the location of the well is documented. The dataset includes location coordinates, American Petroleum Institute (API) number, or other identification number, well type, well status, and additional information for each unplugged orphaned well. All data were collected by direct requests to the respective state agency overseeing oil and gas wells or data downloads from their online databases. Location format conversion was performed on wells wi ...

This data release contains several datasets that provide an overview of oil and gas well history and production of the United States, from 1817 to September 1, 2022. Well history data is aggregated into 1-mile and 10-mile squares indicating the total number of wells and counts of wells classified as oil, gas, dry, injection, hydraulically fractured, and/or horizontal wells. Well history is also separated into layers binned on 1-year increments from a well's spud date (date drilling commenced). Production data is aggregated in 2-mile and 10-mile squares that sum the total production of oil, gas, and water volumes. Production data is also separated into layers binned on 1-year increments to reflect the year of production. These aggregations are compiled from data from IHS Markit, which is a proprietary, commercial database. No proprietary data is contained in this release. This data release was updated May 2023 to reflect an offset of 1 year on the original release.

These data show the location of oil and gas wells within U.S. and territorial waters. The values of an oil and gas well record can change considerably over time, and with varied ownership, and with the jurisdiction that the well is located within. The fields in this data set are only a subset of the most common values available.

A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Illinois. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Illinois State Geological Survey (ISGS) oil and gas wells database. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006.

This information should be considered preliminary. It has not been edited or checked for completeness or accuracy. The original NVOILWEL database is maintained in PC-File database format. UTM location coordinates were added to the NVOILWEL database and then used to generate shapefiles in ARCVIEW version 3.2a for development of the Nevada Oil and Gas Well database map.

No. of Oil & Gas Wells: Drilled but Uncompleted: Eagle Ford data was reported at 1,360.000 Unit in Feb 2020. This records a decrease from the previous number of 1,373.000 Unit for Jan 2020. No. of Oil & Gas Wells: Drilled but Uncompleted: Eagle Ford data is updated monthly, averaging 1,241.000 Unit from Dec 2013 (Median) to Feb 2020, with 75 observations. The data reached an all-time high of 1,511.000 Unit in Jun 2019 and a record low of 991.000 Unit in Jan 2014. No. of Oil & Gas Wells: Drilled but Uncompleted: Eagle Ford data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.RB022: Number of Oil and Gas Wells.

Big Data in Oil & Gas Market is estimated to reach USD 10.1 billion By 2034, Riding on a Strong 12.5% CAGR throughout the forecast period.

This data release contains spatial data on the location, number, size and extent of energy-related surface disturbances on the Colorado Plateau of Utah, Colorado, and New Mexico as of 2016. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, and 2) polylines of roads derived from the U.S. Census Bureau TIGER/Line Shapefile, supplemented with additional oil and gas access roads digitized from aerial imagery. Pad polygons and road segments are attributed with a "spud year" date based on spud information from the nearest well point. Spudding is the process of beginning to drill a well in the oil and gas industry, and the spud year is a close approximation of when the access roads and pads were cleared for development. The spud year information can be used to develop a chronology of oil and gas surface disturbances across the study region. The remote sensing-based pad mapping captures bright soil of disturbed are ...

A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Indiana. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006.

Download .zipMaps and data associated with oil-and-gas wells represent one of the largest datasets at the Ohio Department of Natural Resources. This GIS data layer contains all the locatable oil-and-gas wells in Ohio. The feature is derived from coordinates obtained from the Division of Oil and Gas Resources Management (DOGRM) oil and gas well database – Risk Based Data Management System (RBDMS). The RBDMS database has a long history and is a comprehensive collection of well data from historic pre-1980 paper well records (digitized by the Division of Geological Survey (DGS)) to post-1980 DOGRM database solutions.Since 1860, it is estimated that more than 267,000 oil-and-gas wells have been drilled in Ohio. The compressed file also includes a feature used to connect the surface location to the bottom location of a well that has been drilled directionally or horizontally. This feature is NOT the actual wellbore path, it is simply a graphical representation indicating the relationship between the two well points.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Oil & Gas ResourcesOil and Gas Resources Management2045 Morse Road Bldg F-2Columbus, OH, 43229-6693Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

This submission offers a link to a web mapping application hosted instance of the Global Oil & Gas Features Database (GOGI), via EDX Spatial. This offers users with the ability to visualize, interact, and create maps with data of their choice, as well as download specific attributes or fields of view from the database. This data can also be downloaded as a File Geodatabse from EDX at https://edx.netl.doe.gov/dataset/global-oil-gas-features-database. Access the technical report describing how this database was produced using the following link: https://edx.netl.doe.gov/dataset/development-of-an-open-global-oil-and-gas-infrastructure-inventory-and-geodatabase” This data was developed using a combination of big data computing, custom search and data integration algorithms, and expert driven search to collect open oil and gas data resources worldwide. This approach identified over 380 data sets and integrated more than 4.8 million features into the GOGI database. Acknowledgements: This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.

This dataset contains production information from oil and gas wells in New York State from 1967 to 1999. Each record represents a sum by operator for each county, town, field, and formation grouping.

Global Oil and Gas Data Management Market size worth at USD 27.96 Billion in 2023 and projected to USD 96.67 Billion by 2032, with a CAGR of 14.78%.

A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the United States. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. The well information was initially retrieved from IHS Inc.'s PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current through 10/1/2005.