This dataset represents the Air Emission air quality data including permit number for Oil & Gas wells and well sites for 2014.

The global inventory management market within the oil and gas sector is experiencing robust growth, driven by the increasing need for efficient operations, enhanced supply chain visibility, and stringent regulatory compliance. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $28 billion by 2033. This expansion is fueled by several key factors: the escalating demand for real-time inventory tracking to minimize losses and optimize resource allocation; the adoption of advanced technologies like IoT sensors and AI-powered analytics for predictive inventory management; and the growing focus on sustainability and reducing environmental impact through precise inventory control. Furthermore, the increasing complexity of oil and gas operations, coupled with the fluctuating prices of crude oil and natural gas, necessitates robust inventory management systems to ensure cost-effectiveness and operational resilience. The market is segmented by application (asset tracking, product differentiation, service management, inventory optimization) and by type of inventory system (periodic, perpetual, stock locator database, grid coordinating numbering system). Leading players include Zoho Inventory, Vyapar, Oracle NetSuite ERP, and others, competing on features, scalability, and integration capabilities. Geographic expansion is also a significant driver, with North America and Europe currently holding the largest market shares. However, the Asia-Pacific region, particularly China and India, is poised for substantial growth due to increasing investments in oil and gas infrastructure and the rising adoption of digital technologies. While the market faces challenges such as high initial investment costs for advanced systems and the need for skilled personnel to manage and maintain these systems, the overall growth trajectory remains positive, propelled by the inherent demand for efficient and transparent inventory management within the oil and gas industry. Further growth is anticipated from increasing government regulations and industry standards concerning environmental protection and safety.

This dataset consists of a high-resolution (0.01o × 0.01o) oil and gas methane emission inventory for the Permian Basin, developed at Environmental Defense Fund (www.edf.org). The Permian Basin in western Texas and southern New Mexico is the largest oil producing basin in the U.S., accounting for more than 40% of national oil production in 2021. It is also the nation's largest methane emitting basin, with recent measurement-based estimates of more than three million metric tons per year. Here, we develop an improved inventory of oil and gas methane emissions for the Permian Basin, based on recent facility-scale measurements and updated oil and gas activity data for the year 2021.

Full details for the oil and gas methane emission inventory development and key results can be found in the following journal paper, which is under review at Earth System Science Data journal.

Please cite the paper when using the methane inventory dataset:

Omara, M., Gautam, R., O'Brien, M.A., Himmelberger, A., Franco, A., Meisenhelder, K., Hauser, G., Lyon, D.R., Chulakadaba, A., Miller, C.C., Franklin, J., Wofsy, S., and Hamburg, S.P. Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution. In review, Earth System Science Data journal (2023).

Points of Contact at Environmental Defense Fund: Mark Omara (momara@edf.org) and Ritesh Gautam (rgautam@edf.org).

This submission contains a zip file with the developed Global Oil & Gas Features Database (as an ArcGIS geodatabase). 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 performed under a CRADA between NETL and EDF, and 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.

Crude oil and petroleum products opening and closing inventories, by mode of transport including pipelines, marine vessels and associated terminals, by product type, monthly, not seasonally adjusted.

To bridge the gap between the development of greenhouse gas (GHG) and air quality (AQ) emission inventories, we developed the GReenhouse gas And Air Pollutant Emissions System (GRA2PES), which provides self-consistent GHG and AQ emissions over the contiguous U.S. This inventory provides emissions at 4 km x 4 km spatial resolution with year, month, day-of-week, and diurnal temporal information. GRA2PES utilizes datasets from the U.S. Energy Information Administration (EIA) and the U.S. Environmental Protection Agency (EPA), and leverages a few well evaluated inventories for specific sectors, including the Fuel-based Oil and Gas (FOG) inventory, the Fuel-based Inventory of Vehicle Emissions (FIVE), and the Volatile Chemical Products (VCP) inventory. GRA2PES provides knowledge of the characteristics of AQ and GHG emissions and their relationships at finer mitigation spatiotemporal scales, which is fundamentally important for modeling AQ co-benefits of GHG emissions reductions. Also, as a self-consistent GHG and AQ emissions inventory, GRA2PES can be utilized in multi-species joint data assimilation (DA) of GHG and AQ emissions, enabling source appointment. We aim to provide GRA2PES as a dataset to inform integrated assessments of climate and air quality for researchers, stakeholders, and policymakers.

U.S. crude oil inventories increased significantly, while gasoline and distillate stocks fell, according to the latest EIA report. Learn about the market impacts.

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Oil And Gas Storage Service Market Size 2025-2029

The oil and gas storage service market size is forecast to increase by USD 4.62 billion, at a CAGR of 5.6% between 2024 and 2029.

The market is driven by the increasing global demand for oil and gas, necessitating the expansion of storage capacity to accommodate growing inventories. A notable trend in the market is the adoption of solidification technology for natural gas storage, enabling the efficient and safe storage of large volumes of natural gas. However, the market faces challenges due to the volatility in oil and gas prices, which can impact the profitability of storage projects. Natural gas and crude oil storage systems enable power plants to maintain a steady supply of fuel during peak load periods and unexpected outages. Companies specializing in oil and gas tank storage, LNG storage and regasification, and CNG storage are actively seeking innovative solutions to optimize their operations and mitigate the risks associated with price fluctuations.
Additionally, the development of floating storage and regasification units (FSRUs) offers opportunities for expansion into new markets and the provision of flexible storage solutions to meet the evolving energy demands of industries and consumers. In the power sector, oil and gas storage solutions are indispensable for peaking and backup power generation.

What will be the Size of the Oil And Gas Storage Service Market during the forecast period?

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The market encompasses various solutions, including asset management, underground and above-ground storage options, and cryogenic storage. Technology adoption in this sector is on the rise, with digital twins and advanced safety systems, such as pressure relief valves, explosion protection, and flame arrestors, becoming increasingly common. Compliance auditing and environmental permitting are crucial aspects of the market, ensuring adherence to safety performance metrics and environmental performance metrics. Storage capacity planning is essential for operational efficiency, with demand forecasting and vapor pressure control playing significant roles. Cost optimization is a key trend, driving the use of inventory turnover, safety training, and emergency drills.
Hazard analysis and gas detection are integral components of safety performance, while rupture disks and salt cavern storage offer enhanced safety and cost benefits. Market players focus on optimization and efficiency, with technology advancements in storage utilization rates and operational efficiency. Regulatory compliance and safety remain top priorities, with ongoing efforts to improve safety performance metrics and environmental performance metrics. 

How is this Oil And Gas Storage Service Industry segmented?

The oil and gas storage service industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Power plants
  Oil refineries
  Chemical plants
  LNG storage facilities


Service

  Storage services
  Ancillary services


Type

  Underground storage
  Aboveground storage


Geography

  North America

    US
    Canada


  Europe

    Russia


  Middle East and Africa

    Iran
    Qatar
    UAE


  APAC

    China
    India
    Singapore


  Rest of World (ROW)

By Application Insights

The power plants segment is estimated to witness significant growth during the forecast period. The market encompasses a range of essential solutions for pipeline infrastructure, terminal operations, and power plants. Pipeline infrastructure necessitates tank coatings, temperature monitoring, and leak detection systems to ensure the safe and efficient transportation of oil and natural gas. Terminal operations rely on railcar loading, level monitoring, and inventory management to facilitate the transfer of petroleum products between various modes of transportation. Data security is a growing concern, as digitalization increases the need for robust cybersecurity measures.

These facilities incorporate advanced technologies such as artificial intelligence (AI), big data analytics, and remote monitoring to optimize capacity utilization and improve energy efficiency. Environmental protection is a critical concern in the oil and gas storage industry, with fire suppression systems, vapor recovery systems, and corrosion control measures ensuring safety and minimizing the carbon footprint. Logistics and transportation, including marine loading and third-party logistics, streamline the movement of petroleum products and facilitate just-in-time delivery. Storage tank maintenance, tank cleaning, and risk management practices ensure the longevity and safety of storage facilities. Digital transformation and SCADA syst

This dataset contains a gridded inventory of Canada's 2018 anthropogenic methane emissions at 0.1 x 0.1 degree. National and provincial emission totals in the inventory match Canada's National Inventory Report (2020) used for reporting greenhouse gas emissions to the United Nations Framework Convention on Climate Change (UNFCCC). This dataset includes separate gridded inventory files for each emission sector and subsector as shown in Table 1 and Table 2 of Scarpelli et al. [2021]. Emissions are allocated to sources on the 0.1 x 0.1 degree grid using a collection of national and provincial geospatial datasets, and incorporates point source emissions as reported in Canada's Greenhouse Gas Reporting Program (GHGRP) in 2020. (2021-11-06)

All gridded emissions files are at 0.1 x 0.1 degree resolution and reflect 2018 annual emissions, though emissions can be readily updated to other years by scaling total emissions using Canada's annually reported National Inventory Report (NIR). There is a netCDF file for each emission sector. Each netCDF contains gridded variables for (1) total sector emissions with the extension "(total)", (2) corresponding subsector and source type emissions, and (3) latitude/longitude centers and area of each grid cell. Codes used to represent sectors and subsectors follow the definitions in Canada's 2020 NIR.

Citation

In order to use these data, you must cite this data set with the following citation:

Scarpelli, Tia; Jacob, Daniel; Moran, Mike; Reuland, Frances; Gordon, Deborah, 2021, "Gridded inventory of Canada's anthropogenic methane emissions for 2018", https://doi.org/10.7910/DVN/CC3KLO, Harvard Dataverse, V1

Oil Inventory Management Market Outlook

The global oil inventory management market size is estimated to reach approximately USD 2.8 billion in 2023 and is projected to grow to USD 4.3 billion by 2032, with a compound annual growth rate (CAGR) of 4.8% over the forecast period. This growth is largely driven by the increasing need for efficient and accurate management of oil inventories due to the fluctuating supply and demand dynamics in the oil and gas industry.

A significant growth factor of the oil inventory management market is the rising complexity of oil logistics. As oil supply chains become more intricate, with multiple touchpoints from extraction to distribution, efficient inventory management systems are vital to minimize discrepancies and ensure operational efficiency. Oil inventory management solutions, which incorporate advanced technologies such as IoT and AI, facilitate real-time monitoring and data analysis, thereby enhancing decision-making processes and reducing the risk of stockouts or overstock situations.

Another driving force is the escalating regulatory pressures and environmental standards imposed by governments globally. Accurate oil inventory management is crucial for compliance with these regulations, which aim to reduce environmental pollution and ensure safe storage and transportation of oil. Failure to meet these standards can result in hefty fines and damage to a company's reputation. Therefore, investing in advanced inventory management systems is becoming increasingly essential for oil and gas companies to maintain compliance and operate sustainably.

The growing emphasis on digital transformation and automation across the oil and gas industry is also a pivotal growth factor. Companies are adopting digital inventory management solutions to replace traditional, manual methods that are prone to errors and inefficiencies. These digital solutions offer enhanced accuracy, transparency, and traceability, which are critical for optimizing supply chains and improving overall operational efficiency. Additionally, the integration of blockchain technology into inventory management systems is emerging as a trend, providing secure and immutable records of oil transactions.

From a regional perspective, North America is expected to hold a significant share of the oil inventory management market during the forecast period, driven by the presence of major oil companies and stringent regulatory frameworks. Asia-Pacific is anticipated to exhibit the highest growth rate due to increasing oil consumption and investments in infrastructure development. Europe, Latin America, and the Middle East & Africa are also poised for steady growth, supported by technological advancements and regulatory compliance needs.

Component Analysis

The oil inventory management market can be segmented by component into software, hardware, and services. The software segment is expected to dominate the market, driven by the increasing adoption of sophisticated inventory management software solutions that offer real-time data analytics, predictive maintenance, and enhanced decision-making capabilities. Software solutions are designed to integrate seamlessly with existing systems, providing a holistic view of inventory levels and facilitating proactive management.

Hardware components, including sensors, RFID tags, and automated storage and retrieval systems, are also critical to the efficient functioning of inventory management systems. These hardware components enable accurate data capture and real-time monitoring of inventory levels, thereby reducing the risk of human error and enhancing operational efficiency. The demand for advanced hardware solutions is likely to grow as companies seek to modernize their inventory management infrastructure.

Services, encompassing installation, maintenance, training, and consultancy, play a pivotal role in the overall adoption and performance of oil inventory management systems. As companies invest in new technologies, the need for professional services to ensure seamless implementation and ongoing support becomes paramount. Service providers offer expertise in system integration, troubleshooting, and optimization, thereby enhancing the value derived from inventory management solutions.

The integration of software, hardware, and services is essential for creating comprehensive and effective oil inventory management solutions. Companies are increasingly seeking end-to-end solutions that combine these components to address their unique inventory management

Oil/gas well integrity failures are a common but poorly constrained source of methane emissions to the atmosphere. As of 2014, Pennsylvania requires gas and oil well operators to report gas losses, both fugitive and process, from all active and unplugged abandoned gas and oil wells. We analyze 589,175 operator reports and find that lower-bound reported annual methane emissions averaged 22.1 Gg (−16.9, +19.5) between 2014 and 2018 from 62,483 wells, an average of only 47% of the statewide well inventory for those years. Extrapolating to the 2019 oil and gas well inventory yields well average emissions of 55.6 Gg CH4. These emissions are not currently included in the state’s oil and gas emission inventory. We also assess compliance in reporting among operators and note anomalies in reporting and apparent workarounds to reduce reported emissions. Suggestions for improving the accuracy and reliability in reporting and reducing emissions are offered.

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 global oil inventory management system market is estimated to be valued at USD XXX million in 2025 and is projected to grow at a CAGR of XX% from 2025 to 2033, reaching USD XXX million by 2033. The market is driven by the increasing demand for efficient inventory management solutions in the oil and gas industry, as well as the need to comply with regulatory requirements. Additionally, the growing adoption of digital technologies and the rising demand for real-time inventory visibility are expected to further drive market growth. The market is segmented by type, application, and region. By type, the market is segmented into periodic inventory system, perpetual inventory, stock locator database, and grid coordinating numbering system. By application, the market is segmented into asset tracking, product differentiation, service management, and inventory optimization. By region, the market is segmented into North America, South America, Europe, Middle East & Africa, and Asia Pacific. North America is the largest market for oil inventory management systems, followed by Europe and Asia Pacific. The growth in the North American market is attributed to the presence of a large number of oil and gas companies in the region. The Asia Pacific market is expected to grow at a significant rate during the forecast period, due to the increasing demand for efficient inventory management solutions in the region.

This is the supplementary data for "A Measurement-Based Upstream Oil and Gas Methane Inventory for Alberta". The data is to replicate Figures 2 through 5 in the main text and Figures S2 through S5 in the supplementary information. This data set also includes the Supplementary Tables of detailed results found in the main text. Anonymized detected emissions for each detected source in the aerial survey with Monte Carlo uncertainty estimates of the emission rates are also included.

This data set contains links to the Gulf of America Region Oil and Gas Operations Report (OGOR-C) Product Sales/Inventory from Facility (1985-Present).

Graph and download economic data for Manufacturers' New Orders: Mining, Oil, and Gas Field Machinery Manufacturing (U33DNO) from Feb 1992 to Mar 2025 about new orders, orders, machinery, oil, mining, gas, durable goods, new, goods, manufacturing, industry, and USA.

Methane emissions from the oil and gas industry (O&G) and other sources in the Barnett Shale region were estimated by constructing a spatially resolved emission inventory. Eighteen source categories were estimated using multiple data sets, including new empirical measurements at regional O&G sites and a national study of gathering and processing facilities. Spatially referenced activity data were compiled from federal and state databases and combined with O&G facility emission factors calculated using Monte Carlo simulations that account for high emission sites representing the very upper portion, or fat-tail, in the observed emissions distributions. Total methane emissions in the 25-county Barnett Shale region in October 2013 were estimated to be 72,300 (63,400–82,400) kg CH4 h–1. O&G emissions were estimated to be 46,200 (40,000–54,100) kg CH4 h–1 with 19% of emissions from fat-tail sites representing less than 2% of sites. Our estimate of O&G emissions in the Barnett Shale region was higher than alternative inventories based on the United States Environmental Protection Agency (EPA) Greenhouse Gas Inventory, EPA Greenhouse Gas Reporting Program, and Emissions Database for Global Atmospheric Research by factors of 1.5, 2.7, and 4.3, respectively. Gathering compressor stations, which accounted for 40% of O&G emissions in our inventory, had the largest difference from emission estimates based on EPA data sources. Our inventory’s higher O&G emission estimate was due primarily to its more comprehensive activity factors and inclusion of emissions from fat-tail sites.

This data set contains links to the Gulf Of Mexico Region Oil and Gas Operations Report (OGOR-C) Product Sales/Inventory from Facility (1985-Present).

Japan Inventory: PD: Petroleum: Fuel Oil data was reported at 1,319.670 kl th in May 2018. This records an increase from the previous number of 1,211.767 kl th for Apr 2018. Japan Inventory: PD: Petroleum: Fuel Oil data is updated monthly, averaging 1,621.238 kl th from Feb 2009 (Median) to May 2018, with 112 observations. The data reached an all-time high of 2,013.212 kl th in Sep 2012 and a record low of 1,135.093 kl th in Feb 2018. Japan Inventory: PD: Petroleum: Fuel Oil data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.RB006: Energy Inventory and Shipment.

This Dataset support the gas-phase and particulate atmospheric emission inventory for Argentina in high spatial resolution (approx. 2.5 km × 2.5 km). This dataset includes the latest revision version of the GEAA-AEIv3.0M inventory. Monthly pollutant emission maps for CO2, CH4, N2O, CO, NOx, NMVOC, NH3, SO2, PM10, PM2.5, TSP and BC between 1995 and 2020 are provided. The emission inventory includes the following sectors: energy production, fugitive emissions from oil and gas production, industrial fuel consumption and production, transport (road, maritime and air), agriculture, livestock production, residential, commercial and biomass burning. The whole dataset has been developed with the porpoise of contributing to various areas of research and governmental assessments, including air quality modeling and decision making, among others.