U.S. Federal Oil & Gas Monthly Production & Disposition (2015–2025)

🌎 Project Overview

This dataset provides a comprehensive, cleaned, and analysis-ready record of the monthly production and disposition volumes of U.S. federal oil and natural gas resources from January 2015 through September 2025. Compiled from the authoritative OGOR-B reporting forms and curated by the U.S. Department of the Interior (DOI), Office of Natural Resources Revenue (ONRR), it reflects the official federal and Native American natural resource production data.

The dataset captures not only raw production volumes but also detailed disposition categories, which indicate how these resources are sold, measured, or allocated, making it a crucial resource for energy policy analysis, market forecasting, and sustainability research.

🌐 Context & Source Information

• Publisher: U.S. Department of the Interior – Office of Natural Resources Revenue (ONRR)
• Original Dataset: Monthly Production Disposition of U.S. Natural Resources Revenue (OGOR-B)
• Coverage: Federal lands, federal waters (Offshore regions: Alaska, Gulf of Mexico, Pacific), and Native American lands. Location data is intentionally withheld for Native American production to protect privacy and sovereignty.
• Temporal Scope: January 2015 – September 2025, monthly frequency.
• License: Creative Commons CCZero (CC0) – Public Domain. Anyone can use, modify, and distribute this data.
• Official Landing Page: ONRR Monthly Production Disposition Data

This dataset is a cornerstone for those researching U.S. energy economics, resource management, climate impact studies, and policy development.

📊 Data Dictionary

🛠️ Data Cleaning & Preprocessing

To ensure the dataset is analysis-ready, the following preprocessing steps were applied:

• Missing Value Handling:

  • State / County / FIPS Code: Missing values primarily correspond to offshore records and were logically filled with the label Offshore.
  • Offshore Region: Missing values indicate onshore records and were filled with the label Onshore.

• Data Standardization:

  • Standardized date formats for seamless time-series analysis.
  • Converted numerical volumes from string with commas to clean numeric types.

• Quality Assurance:

  • Verified consistency of commodity labels and disposition codes.
  • Confirmed monthly frequency across the 10-year time span.

These enhancements enable immediate use in machine learning pipelines, econometric models, and visual analytics without additional preprocessing.

🚀 Potential Use Cases

📊 Energy Economics & Market Forecasting

• Model long-term trends in U.S. oil and natural gas production.
• Correlate production with market prices or global economic indicators.
• Forecast supply-demand dynamics using ARIMA, Prophet, or LSTM models.

🌍 Environmental & Policy Research

• Quantify the environmental impact of onshore versus offshore production.
• Assess how federal production contributes to greenhouse gas emissions when combined with emissions datasets.
• Evaluate the effectiveness of U.S. energy policies and their evolution over a decade.

📈 Financial & Business Intelligence

• Integrate production volumes into energy sector investment models.
• Build revenue projections and budget impact analyses for federal and tribal authorities.
• Use disp...

Crude Oil fell to 59.17 USD/Bbl on December 2, 2025, down 0.25% from the previous day. Over the past month, Crude Oil's price has fallen 3.08%, and is down 15.40% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on December of 2025.

Crude_oil_value.csv Description:

The crude_oil_value.csv file contains historical data on the monetary value of crude oil trades over specific periods. This dataset is essential for analyzing market trends, economic impacts, and forecasting future trade values. Each entry represents a recorded trade, detailing the value in terms of currency, along with relevant timestamps and geographic locations.

Columns: Year: The year of the trade. Country: Malaysia. Trade_Value: The monetary value of the trade in USD. Trade_Type: The type of trade (import & export). Currency: The currency used for the trade value.

Crude_oil_volume.csv Description:

The crude_oil_volume.csv file contains data on the volume of crude oil traded over time. This dataset is crucial for understanding the physical quantities of oil being moved in the market, assessing production capabilities, and analyzing supply chain dynamics. Each entry includes details on the volume of crude oil traded, alongside temporal and spatial data.

Columns: Year: The year of the trade. Country: Malaysia. Trade_Volume: The volume of crude oil traded, typically measured in barrels. Trade_Type: The type of trade ( import & export). Volume_Unit: The unit of measurement for the volume (e.g., barrels).

Global dataset of oil and natural gas production, prices, exports, and net exports. Oil production and prices data are for 1932-2014 (2014 data are incomplete); gas production and prices are for 1955-2014; export and net export data are for 1986-2013. Country codes have been modified from earlier versions to conform to Correlates of War (COW) and Quality of Government (QOG) standards. See codebook for details.

This dataset comprises a collection of tabular data and graphical images supporting the U.S. Geological Survey's National Oil and Gas Assessment (NOGA) for Bend Arch-Ft. Worth Basin Province (045). The dataset includes detailed information on crude oil and natural gas production, including volumetric and descriptive data such as cumulative production, remaining reserves, and known recoverable volumes. Historical data covering field-discovery dates, well completion dates, exploration objectives, and well depths are also provided. Data sources include commercial databases along with supplemental information from various federal and state agencies. No proprietary data is included in this. The dataset is presented in multiple formats, including .pdf files for graphical images and .tab files for tabular data, encompassing eco-regional, federal land, ownership parcels, and state-wise data distributions.

This data release includes a digitized version of the "Statistics by States, lands, products and years" section of the 1981 edition of the Federal and Indian lands oil and gas production, royalty income, and related statistics publication. These data were published by the Conservation Division of the U.S. Geological Survey, which was tasked with the accounting for Federal lease production and royalties across multiple commodities. That mission was transferred within the Department of the Interior to the Minerals Management Service in 1982 and later to the Office of Natural Resources Revenue (ONRR) in 2011, where the work is still conducted. Prior to this digitization effort, these data covering Federal lease energy production records from 1954-1980, and also a "prior" years catch all, were not known to be available in a digital format. Paper records were scanned from 250 source tables, totaling approximately 39,000 values. Optical character recognition and table parsing were performed using machine learning software. Due to the less-than-ideal quality of the source material, errors were present in all tables at a rate of approximately 5% of the values. Quality control checks were performed by the authors using sub-totals provided in the original data. The data provide production quantity, production value, and royalty value for oil, condensate, natural gas, liquid petroleum gas, carbon dioxide, sulfur, salt, oil lost, gas lost, geothermal energy, hot water, and totals. The following land types are included: all (a total), public, acquired, outer continental shelf, military and miscellaneous, navy petroleum reserve, and Indian. The authors have also provided the production and royalty value records converted to 2024 indexed dollar values based on consumer price index (CPI) inflation data from the U.S. Bureau of Labor Statistics.

Crude Oil Production in the United States increased to 13844 BBL/D/1K in September from 13800 BBL/D/1K in August of 2025. This dataset provides the latest reported value for - United States Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Undiscovered Oil and Gas Resources dataset shows the locations of the Assessment Units (AUs) in the U.S. Geological Survey (USGS) World Assessment of Undiscovered Oil and Gas Resources. The assessment was conducted in 2012 and evaluated 313 AUs within 171 geologic provinces (areas where oil and gas occur in commercial quantities). An AU is a mappable volume of rock with homogenous geologic properties. Each AU was assessed for undiscovered oil and gas resources using data from published literature. In each geologic province, total petroleum systems (TPS) were also defined. A TPS is the group of geologic elements needed for oil and gas formation. The Undiscovered Oil and Gas Resources dataset provides an understanding of the quantity, quality and distribution of global conventional oil and gas resources. Conventional oil and gas resources, such as crude oil and natural gas, are found in high porosity/permeability reservoirs. Unconventional oil and gas resources are found in low porosity/permeability reservoirs, such as shale and tar sands. Conventional resources are relatively easy to extract from the earth and do not require fracking. The USGS World Assessment of Undiscovered Oil and Gas Resources determined that a total of 565,298 million barrels of oil, 5,605,626 billion cubic feet of gas and 166,668 million barrels of natural gas liquids remained undiscovered as of 2011. All of these resources are conventionally extractable. However, conventional oil and gas resources are dwindling. Knowing where and how much conventional oil and gas remains undiscovered is important for understanding the world’s energy future. The Undiscovered Oil and Gas Resources dataset is a geologic basis for making decisions about energy. It can help predict future energy production trends and increase understanding of the social and environmental consequences of oil and gas resource exploitation.

Context

Exxon Mobil Corporation, commonly known as ExxonMobil, is a multinational oil and gas corporation headquartered in Irving, Texas. Formed in 1999 by the merger of Exxon and Mobil, it is one of the world's largest publicly traded energy providers and chemical manufacturers. ExxonMobil is involved in the exploration, production, and sale of crude oil, natural gas, and petroleum products, as well as the manufacture of petrochemicals, contributing significantly to the global energy supply. The company's stock is publicly traded under the ticker symbol XOM.

As of August 2025 Exxon Mobil has a market cap of $457.78 Billion USD. This makes Exxon Mobil the world's 20th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Content

Geography: USA

Time period: Jan 1962- Aug 2025

Unit of analysis: Exxon Mobil Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

Cell maps for each oil and gas assessment unit were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in an assessment unit or province. 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, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, 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 PI/Dwights PLUS Well Data. No proprietary data are displayed or included in the cell maps. The data from PI/Dwights PLUS Well Data were current as of April 2003 when the cell maps were created in 2003.

Production and reserves statistics for coal seam gas, condensate, crude oil, liquefied petroleum gas and natural gas.

Please note: Due to changes in the data collection and reporting standards the Department has altered the published reports format. The Petroleum and gas production reports are published in the new format from the period Dec 2014 till Dec 2021 (current) and the Petroleum and gas reserves reports are published in the new format for the calendar year 2020 and 2021 (current)

The reports released for data periods mentioned above have been updated to reflect the current reporting measure of units and data standards.

More information about these changes can be found here: Link

Historical data (pre-30 June 2016 Production and Pre 2020 Reserves) can be found here: Link

The polygons representing fields were created by constructing a grid of ¼ sq. mi. cells and proximal polygons centered on all wells in southern Louisiana and then combining and merging the adjacent polygons having the same value for field name. The wells data used to create these fields in southern Louisiana were obtained from a public database provided by the Louisiana Department of Natural Resources (LDNR), Office of Conservation. This dataset contains basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.

Geoscience Australia's Oracle organic geochemical database comprises analytical results for samples relevant to petroleum exploration, including source rocks, crude oils and natural gases collected across the Australian continent. The data comprises organic chemical analyses of hydrocarbon-bearing earth materials as well as including connectivity to some inorganic analyses. These data enable petroleum fluids to be typed into families and correlated to their source rock, from which depositional environment, age, and migration distances can be determined, and hence the extent of the total petroleum system can be mapped. This comprehensive data set is useful to government for evidence-based decision making on natural resources and the petroleum industry for de-risking conventional and unconventional petroleum exploration programs.

The data are produced by a wide range of analytical techniques. For example, source rocks are evaluated for their bulk compositional characteristics by programmed pyrolysis, pyrolysis-gas chromatography and organic petrology. Natural gases are analysed for their molecular and isotopic content by gas chromatography (GC) and gas chromatography-temperature conversion-mass spectrometry (GC-TC-IRMS). Crude oils and the extracts of source rocks are analysed for their bulk properties (API gravity; elemental analysis) and their molecular (biomarkers) and isotopic (carbon and hydrogen) content by GC, gas chromatography-mass spectrometry (GCMS) and GC-TC-IRMS.

The sample data originate from physical samples, well completion reports, and destructive analysis reports provided by the petroleum industry under the Offshore Petroleum and Greenhouse Gas Storage Act (OPGGSA) 2006 and previous Petroleum (submerged Lands) Act (PSLA) 1967. The sample data are also sourced from geological sampling programs in Australia by Geoscience Australia and its predecessor organisation's Australian Geological Survey Organisation (AGSO) and Bureau of Mineral Resources (BMR), and from the state and territory geological organisations. Geoscience Australia generates data from its own laboratories. Other open file data from publications, university theses and books are also included

Value: The organic geochemistry database enables digital discoverability and accessibility to key petroleum geochemical datasets. It delivers open file, raw petroleum-related analytical results to web map services and web feature services in Geoscience Australia’s portal. Derived datasets and value-add products are created based on calculated values and geological interpretations to provide information on the subsurface petroleum prospectivity of the Australian continent. For example, the ‘Oils of Australia’ series and the ‘characterisation of natural gas’ reports document the location, source and maturity of Australia’s petroleum resources. Details of the total petroleum systems of selected basins studied under the Exploring for the Future project can be found in the Petroleum Systems Summaries Tool in Geoscience Australia’s portal. Related Geoscience Australia Records and published papers can be obtained from eCat.

Scope: The collection initially comprised organic geochemical and petrological data on organic-rich sedimentary rocks, crude oils and natural gas from petroleum wells drilled in the onshore and offshore Australian continent. Over time, other sample types (ground water, fluid inclusions, mineral veins, bitumen) from other borehole types (minerals, stratigraphic – including the Integrated Ocean Drilling Program), marine dredge samples and field sites (outcrop, mines, surface seepage samples) have been analysed for their hydrocarbon content and are captured in the database. Results for many of the oil and gas samples held in the Australian National Offshore Wells Data Collection are included in this database.

Kazakhstan GDP: GVA: Oil & Gas Sector: Primary Sector (PS) data was reported at 5,588,914.800 KZT mn in 2017. This records an increase from the previous number of 4,882,288.400 KZT mn for 2016. Kazakhstan GDP: GVA: Oil & Gas Sector: Primary Sector (PS) data is updated yearly, averaging 4,460,496.600 KZT mn from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 5,588,914.800 KZT mn in 2017 and a record low of 2,561,064.000 KZT mn in 2009. Kazakhstan GDP: GVA: Oil & Gas Sector: Primary Sector (PS) data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.A021: GDP: Gross Value Added: Current Price: Oil and Gas Sector.

For each of the four Miocene sequences, polygons representing producing areas within fields were created by constructing a grid of ¼ sq. mi. cells and proximal polygons centered on all producing wells and then combining and merging the adjacent polygons having the same value for field name. Although the polygons are based on the producing wells only, they may also include some dry holes. The producing intervals were determined by comparing the depth of production to the structure contours (see metadata for the structure contours). The data are provided in four shapefiles--one for each Miocene sequence (Lower 1, Lower 2, Middle and Upper). These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations ...

Crude Oil Production in Croatia remained unchanged at 9 BBL/D/1K in July. This dataset provides the latest reported value for - Croatia Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Crude Oil Production in Germany increased to 31 BBL/D/1K in July from 30 BBL/D/1K in June of 2025. This dataset provides the latest reported value for - Germany Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Enterprise-Value-To-Ebitda-Ratio Time Series for Advantage Oil & Gas Ltd.. Advantage Energy Ltd., together with its subsidiaries, engages in the acquisition, exploitation, development, and production natural gas, crude oil, and natural gas liquids (NGLs) in the Province of Alberta, Canada. The company was formerly known as Advantage Oil & Gas Ltd. and changed its name to Advantage Energy Ltd. in May 2021. Advantage Energy Ltd. was founded in 2001 and is headquartered in Calgary, Canada.

Crude Oil Production in Indonesia increased to 597 BBL/D/1K in July from 585 BBL/D/1K in June of 2025. This dataset provides the latest reported value for - Indonesia Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset is a market activity representing the consumption market of the region. It includes the transport, freight of the product from the factory gate to the consumer end, and the transport services are calculated based on the transportation conditions of this product in the region. This dataset represents the inventory from cradle-to-gate of the product. The dataset contains multi-technology combining water flooding and gas injection. In China, the technology distribution for natural gas production is 80% water flooding and 20% gas injection; hence, this dataset can represent the average production mix of China. Water flooding technology: As an essential method to enhance oil recovery in oil fields, water flooding is conducted by injecting water or other fluids into the oil strata to increase formation pressure and drive petroleum towards the wellhead. Gas injection technology: a gas injection process for enhanced oil recovery. Through a series of injection wells, the working agent (natural gas or air) is injected into the reservoir, thereby driving the residual petroleum into the surrounding production wells. Low-permeability oil fields refer to oil fields with low reservoir permeability, low abundance, and low single-well production capacity. The net heating value of petroleum is 43.4 MJ/kg, and the average heating value of natural gas is 36 MJ/Sm3.