Crude Oil fell to 65.07 USD/Bbl on June 27, 2025, down 0.26% from the previous day. Over the past month, Crude Oil's price has risen 5.22%, but it is still 20.20% lower than a year ago, 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 June 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.

Crude Oil Production in the United States increased to 13488 BBL/D/1K in March from 13240 BBL/D/1K in February 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 Big Data In Oil And Gas Market size was valued at USD 3.6 USD Billion in 2023 and is projected to reach USD 12.24 USD Billion by 2032, exhibiting a CAGR of 19.1 % during the forecast period. In the oil and gas industry, Big Data encompasses a huge and diverse set of information derived from many sources including oil and gas well seismic surveys, drilling, and production equipment. To put these datasets in context, it is useful to characterize them by the four V’s: volume, velocity, variety, and veracity. These include structured data from sources such as sensors and logs, semi-structured data from parcels such as emails and XML among others, and unstructured data from sources like social media platforms and technical reports among others. Some of the features include real-time mode of computations, predictive analysis, and data consolidation. Examples include: boosting the efficiency of exploration and production functions, improving equipment reliability through simulations and data analytics of equipment maintenance and performance patterns, ensuring safety measures, and better decision-making due to analytical capabilities. Key drivers for this market are: Growing Focus on Safety and Organization to Fuel Market Growth. Potential restraints include: Increasing Focus on Renewable Energy & Stringent Regulations for Protecting Environment to Hamper Growth. Notable trends are: Growth of IT Infrastructure to Bolster the Demand for Modern Cable Tray Management Solutions.

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

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.

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.

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.

For a recent Inside Climate News investigation, Martha Pskowski and Peter Aldhous wrangled data on 10,000+ wastewater spills reported by oil and gas companies to the Texas government between 2013 and 2022. These “spill logs” — obtained through public records requests, then cleaned and standardized by the journalists — correspond to more than 148 million gallons of “produced water,” a byproduct of drilling and fracking. The data indicate each spill’s date, location, facility, operator, type of operation, volume of wastewater released, volume recovered, and much more.

Spills of produced water by the Texas oil and gas industry from 2013 to 2022

Data and R code for the analysis underlying this Inside Climate News article, analyzing a decade of spills in Texas of produced water — which emerges from wells along with crude oil and gas during fossil fuel extraction.

Data cleaning/processing

Records of these spills are maintained by the Texas Railroad Commission, which regulates the state's oil and gas industry, in spreadsheets it calls “spill logs.” Through public records requests, we obtained logs held centrally by the Railroad Commission, and those held by the commission's individual district offices throughout the state.

The data required extensive cleaning in R, OpenRefine, and Google Sheets to diagnose and fix problems including incorrectly entered dates, inconsistent units for volume, misaligned columns, duplicated entries, and multiple variants of company names, which we standardized for the largest operators. The centrally-held logs were maintained in spreadsheets with individual sheets or tabs named by month and year, allowing us to assign a month and year to any spills lacking a spill date.

Where volumes of produced water were given as greater than or less than a particular value, we used that value. Where a range was given, we used the midpoint of that range. In a small number of cases in which the volume of water recovered was shown as greater than the volume released, we corrected the volume recovered to equal the volume released. We multiplied all volumes given in barrels by 42 to give volumes in U.S. gallons, used for our analysis.

The spill logs documented releases of crude oil, condensates (hydrocarbons with a density less than that of crude oil), natural gas, and produced water, with some records involving spills of more than one substance simultaneously. For our analysis of spills of produced water, we filtered to remove records with no entry for the volume of produced water released, or with a value of zero, and to remove any spills that occured before or after the calendar years 2013 to 2022.

The cleaned and filtered data is in the two data input files described below.

Analysis

Our analysis of the number and volume of releases of produced water based on the spill logs held centrally by the Railroad Commission is given here and in the file tx-spills-central.Rmd. A corresponding analysis for the logs held by commission's district offices is here and in the file tx-spills-district.Rmd.

Other files/folders

• data Input data files:

  • central_cleaned.csv Cleaned and filtered data on releases of produced water processed from the spill logs held centrally by the Texas Railroad Commission.
  • district_cleaned.csv Cleaned and filtered data on releases of produced water processed from the spill logs held by individual Railroad Commission district offices.

• discrepancies.R Script used to find spills that seemed to be present in either the central- or district-level spill logs only, based on matching by Railroad Commission district and RRC job number/notification number. The largest of these spills were scrutinized manually against the original spreadsheet files to identify genuine mismatches between the two sets of logs.

Questions/Feedback

Email Peter Aldhous at peter.aldhous@insideclimatenews.org.

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.

Natural gas rose to 3.68 USD/MMBtu on June 27, 2025, up 4.25% from the previous day. Over the past month, Natural gas's price has risen 3.34%, and is up 41.32% 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 June of 2025.

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

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. 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.

The 2025 annual OPEC oil price stood at ***** U.S. dollars per barrel, as of May. 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.

Crude Oil Production in Vietnam increased to 172 BBL/D/1K in February from 154 BBL/D/1K in January of 2025. This dataset provides the latest reported value for - Vietnam Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

Brent fell to 67.39 USD/Bbl on June 27, 2025, down 0.50% from the previous day. Over the past month, Brent's price has risen 4.77%, but it is still 20.72% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on June of 2025.

The purpose of this data release is to provide data in support of the Bureau of Land Management's (BLM) Reasonably Foreseeable Development (RFD) Scenario by estimating water-use associated with oil and gas extraction methods within the BLM Carlsbad Field Office (CFO) planning area, located in Eddy and Lea Counties as well as part of Chaves County, New Mexico. Three comma separated value files and two python scripts are included in this data release. It was determined that all reported oil and gas wells within Chaves County from the FracFocus and New Mexico Oil Conservation Division (NM OCD) databases were outside of the CFO administration area and were excluded from well_records.csv and modeled_estimates.csv. Data from Chaves County are included in the produced_water.csv file to be consistent with the BLM’s water support document. Data were synthesized into comma separated values which include, produced_water.csv (volume) from NM OCD, well_records.csv (including location and completion) from NM OCD and FracFocus, and modeled_estimates.csv (using FracFocus as well as Ball and others (2020) as input data). The results from modeled_estimates.csv were obtained using a previously published regression model (McShane and McDowell, 2021) to estimate water use associated with unconventional oil and gas activities in the Permian Basin (Valder and others, 2021) for the period of interest (2010-2021). Additionally, python scripts to process, clean, and categorize FracFocus data are provided in this data release.