Crude Oil rose to 57.03 USD/Bbl on October 21, 2025, up 0.01% from the previous day. Over the past month, Crude Oil's price has fallen 8.43%, and is down 20.51% 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 October of 2025.

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 13642 BBL/D/1K in July from 13533 BBL/D/1K in June 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.

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...

Oil & Gas Data Management Market Outlook

The global oil & gas data management market size was valued at approximately USD 15.2 billion in 2023 and is projected to reach USD 28.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. This growth is primarily driven by the increasing complexity of oil and gas operations and the critical need for efficient data management systems to enhance decision-making processes and operational efficiencies.

One of the key growth factors for this market is the rapid digital transformation within the oil and gas sector. As the industry increasingly leverages advanced technologies such as IoT, AI, and big data analytics, the volume and complexity of data generated are escalating exponentially. This necessitates robust data management solutions to process, analyze, and derive actionable insights from vast datasets. Furthermore, the advent of real-time data analytics is enabling oil and gas companies to optimize production, reduce downtime, and improve safety standards, thereby driving the demand for sophisticated data management systems.

Additionally, regulatory compliance and environmental concerns are compelling the industry to adopt more stringent data management practices. Governments and regulatory bodies worldwide are imposing stricter regulations related to data reporting, monitoring, and environmental sustainability. To comply with these regulations, oil and gas companies must implement comprehensive data management systems that ensure data accuracy, integrity, and accessibility. This regulatory push is creating significant opportunities for market growth as companies seek to upgrade their data management capabilities.

Another crucial factor contributing to market growth is the increasing focus on cost optimization and operational efficiency. With fluctuating oil prices and rising operational costs, companies are under immense pressure to enhance their operational efficiencies and reduce costs. Effective data management plays a pivotal role in achieving these objectives by enabling predictive maintenance, optimizing resource allocation, and improving supply chain management. By leveraging advanced data management solutions, companies can enhance their decision-making processes, thereby driving profitability and competitiveness.

From a regional perspective, North America is anticipated to hold the largest market share during the forecast period, driven by the presence of major oil and gas companies and the rapid adoption of advanced technologies. However, the Asia Pacific region is expected to exhibit the highest CAGR, fueled by increasing investments in oil and gas exploration activities, especially in emerging economies such as China and India. The Middle East and Africa, with their vast oil reserves, also represent a significant market, particularly with ongoing projects aimed at boosting production and operational efficiency.

Component Analysis

The oil & gas data management market is segmented by component into software and services. The software segment comprises various solutions such as data integration, data quality, data governance, data security, and data analytics. These solutions are essential for managing the vast amounts of data generated across the oil and gas value chain. The increasing adoption of automation and digitalization in the industry is driving the demand for sophisticated software solutions that can handle complex data requirements. Moreover, advancements in AI and machine learning are further enhancing the capabilities of data management software, enabling more accurate predictive analytics and real-time decision-making.

Within the software segment, data analytics solutions are witnessing significant growth due to their ability to provide deep insights into operational performance, asset health, and market trends. These insights are crucial for optimizing production processes, reducing operational costs, and improving overall efficiency. Additionally, data security solutions are gaining traction as the industry becomes increasingly aware of the risks associated with data breaches and cyber-attacks. Ensuring data integrity and security is paramount, particularly given the sensitive nature of the information handled by oil and gas companies.

The services segment includes consulting, implementation, and support services. Consulting services are in high demand as companies seek expert guidance on selecting and implementing the right data management solutions. These services help organizations assess thei

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

We have updated and extended the dataset on giant oil discoveries previously published by Mike Horn under the auspice of the AAPG that contains discoveries from 1868 to 2010 (Halbouty, 2014; Horn, 2004). Beyond incorporating new discoveries after 2010 up to 2018 (and soon 2020), and corrections to the data, the main contribution has been to provide estimates of the US dollar value of the petroleum field presented in terms of Net Present Value (NPV). This is based on the discoveries’ estimated ultimate recoverable (EUR) amount of oil and gas, measured in nominal and real US dollars, using the price of petroleum in the year of discovery. Main publication: Cust, James, David Mihalyi and Alexis Rivera-Ballesteros, 2021, The Economic Effects of Giant Oil and Gas Discoveries in Charles A. Sternbach, Robert K. Merrill, and John C. Dolson, eds., Giant Fields of the Decade: 2010-2020: AAPG Memoir 125, p. 21-36

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.

Offshore oil and gas services are not identified as a sector in the French classification of economic activities (NAF). They include a range of high value added segments among engineering services but also maritime works and manufacturing activities, some of which are included in other maritime activities analysed in the present report, e.g. maritime works (for offshore oil rig construction), LNG carrier building and cable and pipe making and laying. Turnover is analysed using a rough breakdown per main activity segment as proposed by the industry association. Value added and employment are estimated using INSEE data on larger business sectors. Exploration and production investment and fuel prices data are sourced from the oil and gas extraction industry and IMF, and supplement the description as key drivers of the activity.

Oil Gas Data Management Market Outlook

The global oil and gas data management market size was valued at approximately USD 15 billion in 2023 and is projected to reach around USD 30 billion by 2032, growing at a CAGR of about 8% during the forecast period. This robust growth can be attributed to the increasing need for efficient data management solutions in the oil and gas industry, driven by the surge in data volume and the quest for operational efficiencies.

One of the primary growth factors for the oil and gas data management market is the escalating volume of data generated across the oil and gas value chain. With the advent of advanced data acquisition technologies and the digitalization of oilfield operations, the amount of data being generated has surged exponentially. This vast influx of data necessitates sophisticated data management solutions to store, process, and analyze the information effectively. Companies are increasingly investing in robust data management systems to enhance decision-making, improve productivity, and reduce operational risks.

Moreover, the integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), and big data analytics in the oil and gas sector is propelling market growth. These technologies enable the extraction of actionable insights from complex datasets, thereby enhancing exploration and production activities, optimizing supply chain operations, and improving asset management. The adoption of such technologies is driven by the need to gain a competitive edge and achieve cost efficiencies in a highly volatile market environment.

Another significant growth driver is the rising emphasis on regulatory compliance and environmental sustainability. The oil and gas industry is subject to stringent regulatory requirements and environmental standards. Effective data management plays a crucial role in ensuring compliance with these regulations, as it enables accurate and timely reporting, monitoring of emissions, and tracking of environmental impact. As governments and regulatory bodies worldwide continue to tighten regulations, the demand for comprehensive data management solutions is expected to grow substantially.

From a regional perspective, North America holds a dominant position in the oil and gas data management market, thanks to the presence of major oil and gas companies and the early adoption of advanced technologies. The region's well-established IT infrastructure and the increasing focus on digital transformation further boost market growth. The Asia Pacific region is also experiencing significant growth, driven by the expansion of oil and gas exploration activities and the rising adoption of digital solutions in countries like China and India.

Component Analysis

The oil and gas data management market can be segmented by component into software and services. The software segment encompasses various solutions designed to handle different aspects of data management, including data storage, data integration, data analytics, and data visualization. These software solutions are indispensable for managing the vast amounts of data generated in the oil and gas industry. As the industry continues to adopt digital technologies, the demand for advanced software solutions is expected to increase significantly. Companies are focusing on developing innovative software with enhanced capabilities to meet the evolving needs of the industry. For instance, cloud-based software solutions are gaining traction due to their scalability, flexibility, and cost-effectiveness.

The services segment includes a range of professional services such as consulting, implementation, maintenance, and support. These services are crucial for the successful deployment and ongoing management of data management solutions. As the complexity of data management increases, the demand for specialized services is also rising. Service providers play a vital role in helping oil and gas companies navigate the challenges associated with data management, ensuring that they derive maximum value from their data assets. The services market is expected to grow steadily, driven by the increasing need for customized solutions and expert guidance.

Within the software segment, data analytics solutions are particularly noteworthy. These solutions enable oil and gas companies to analyze large datasets to uncover valuable insights and make data-driven decisions. Advanced analytics tools, such as predictive analytics and real-time analytics, are becoming integral to the industry. They help in optimizing e

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.

Natural gas rose to 3.49 USD/MMBtu on October 21, 2025, up 2.62% from the previous day. Over the past month, Natural gas's price has risen 24.24%, and is up 50.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on October of 2025.

Data Lakes for Oil and Gas Market Outlook

According to our latest research, the global Data Lakes for Oil and Gas market size reached USD 2.04 billion in 2024, reflecting robust adoption across the industry. The market is poised to grow at a CAGR of 23.7% from 2025 to 2033, propelling the market value to an estimated USD 16.2 billion by 2033. This exponential growth is driven by the oil and gas sector's urgent need for advanced data management solutions that can handle vast and diverse datasets, streamline operations, and support digital transformation initiatives.

A primary growth factor for the Data Lakes for Oil and Gas market is the increasing volume and complexity of data generated throughout the oil and gas value chain. From seismic exploration and drilling operations to refining and distribution, industry players are collecting massive amounts of structured and unstructured data. Traditional data management systems often struggle to handle this scale and diversity, leading to data silos and inefficiencies. Data lakes provide a unified repository for all types of data, enabling advanced analytics, real-time decision-making, and improved operational efficiency. As oil and gas companies strive to optimize production, reduce costs, and enhance safety, the demand for scalable and flexible data lake solutions continues to surge.

Another key driver is the integration of new digital technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT) within oil and gas operations. These technologies generate and require access to large datasets for predictive maintenance, reservoir modeling, and supply chain optimization. Data lakes serve as the backbone for these digital initiatives, allowing companies to ingest and process data from sensors, equipment, and field operations at scale. As the industry embraces digital transformation to remain competitive and resilient amid market fluctuations and regulatory pressures, the adoption of data lakes is becoming a strategic imperative.

The regulatory environment and the increasing focus on sustainability are also shaping the growth trajectory of the Data Lakes for Oil and Gas market. Governments and stakeholders are demanding greater transparency, environmental compliance, and reporting accuracy from oil and gas companies. Data lakes facilitate the aggregation and analysis of environmental and operational data, supporting compliance with regulations and enabling more sustainable practices. Moreover, the ability to leverage data-driven insights for emissions monitoring, energy efficiency, and resource management positions data lakes as a critical enabler of the industry's transition toward greener operations.

Regionally, North America continues to dominate the global Data Lakes for Oil and Gas market, accounting for the largest revenue share in 2024. The region's leadership is attributed to the early adoption of digital technologies, the presence of major oil and gas corporations, and substantial investments in IT infrastructure. However, the Asia Pacific region is expected to witness the fastest growth rate during the forecast period, driven by expanding exploration activities, rising energy demand, and increasing digitalization across emerging economies. Meanwhile, the Middle East & Africa and Europe are also experiencing steady adoption as companies in these regions recognize the value of data-driven operations to enhance productivity and competitiveness.

Component Analysis

The Data Lakes for Oil and Gas market by component is primarily segmented into Solutions and Services. Solutions refer to the core software platforms and tools that facilitate data ingestion, storage, management, and analytics within the data lake ecosystem. These solutions are designed to handle the unique challenges of oil and gas data, such as high volume, variety, and velocity. As the industry increasingly relies on real-time analytics for operational decision-making, the demand for robust and scala

This dataset records oil and gas production, and value, in all countries in the world from 1932 to 2009.

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.

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.

The 2025 annual OPEC basket price stood at ***** U.S. dollars per barrel as of August. This would be lower than the 2024 average, which amounted to ***** U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2025 fall in prices was the result of weakened demand outlooks exacerbated by extensive U.S. trade tariffs.

Kazakhstan GDP: Gross Value Added (GVA): Oil & Gas Sector data was reported at 9,566,960.000 KZT mn in 2017. This records an increase from the previous number of 8,498,204.400 KZT mn for 2016. Kazakhstan GDP: Gross Value Added (GVA): Oil & Gas Sector data is updated yearly, averaging 7,544,508.700 KZT mn from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 9,566,960.000 KZT mn in 2017 and a record low of 3,772,343.500 KZT mn in 2009. Kazakhstan GDP: Gross Value Added (GVA): Oil & Gas Sector 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.

This dataset is about books. It has 1 row and is filtered where the book is Shared value, shared responsibility : a new approach to managing contracting chains in the oil and gas sector. It features 7 columns including author, publication date, language, and book publisher.