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.

Brent fell to 63.05 USD/Bbl on December 2, 2025, down 0.19% from the previous day. Over the past month, Brent's price has fallen 2.84%, and is down 14.36% compared to the same time last year, 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 December of 2025.

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.

The Brent Crude Oil Price Market Sentiment – Sample Data dataset provides structured insights into the supply and demand narratives shaping global oil prices. Each entry captures event-driven sentiment with timestamps, directional signals (up/down), topic classification, and market context, allowing traders to track how fundamental developments impact Brent pricing. For the period 11–16 May 2025, key drivers include: Bullish sentiment from OPEC+ production cuts (-1.5m bpd), Libyan supply disruptions (-300k bpd), and rising Chinese demand (+15% YoY imports). Bearish sentiment from U.S. Strategic Petroleum Reserve releases (25m barrels) and Saudi Arabia’s planned production increase (+400k bpd). Exploration impact with the Sirari West X1 oil discovery boosting future supply narratives. By consolidating geopolitical, supply, and demand events, this dataset allows systematic and quantitative traders to backtest how narrative flows align with Brent price movements. It functions as a source of leading indicators, helping desks anticipate volatility, refine trading models, and adjust exposure to energy markets.

Context

This is a multi factor data set about crude oil futures

Including the rise and fall of the US dollar index and the US dollar index, and the rise and fall of gold price and gold price

The time length is from 2020 to 2021, and the time granularity is days

Heating Oil rose to 2.35 USD/Gal on December 2, 2025, up 0.21% from the previous day. Over the past month, Heating Oil's price has fallen 2.25%, but it is still 6.31% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on December of 2025.

The author argues that the economic benefits of low gasoline prices for the U.S. economy have fallen substantially since the reemergence of America as a major oil producer. The old rule-of thumb that a 10% fall in the oil price raises inflation-adjusted U.S. GDP by 0.2% is too large—the impact on economic activity should be closer to zero, and may even be negative if consumption grows slowly. The reasons for this change are straightforward, if underappreciated: (i) the value of oil production accounts for a larger share of the U.S. economy; and (ii) consumers are not spending the windfall like they used to because of higher debt levels, limited access to credit, slow wage rowth, and an older population.

About the ProjectKAPSARC is analyzing the shifting dynamics of the global gas markets. Global gas markets have turned upside down during the past five years: North America has emerged as a large potential future LNG exporter while gas demand growth has been slowing down as natural gas gets squeezed between coal and renewables. While the coming years will witness the fastest LNG export capacity expansion ever seen, many questions are raised on the next generation of LNG supply, the impact of low oil and gas prices on supply and demand patterns and how pricing and contractual structure may be affected by both the arrival of U.S. LNG on global gas markets and the desire of Asian buyers for cheaper gas.Key PointsIn the past year, global gas prices have dropped significantly, albeit at unequal paces depending on the region. All else being equal, economists would suggest that this should have generated a positive demand response. However, “all else” was not equal. Prices of other commodities also declined while economic growth forecasts were downgraded. Prices at benchmark points such as the U.K. National Balancing Point (NBP), U.S. Henry Hub (HH) and Japan/Korea Marker (JKM) slumped due to lower oil prices, liquefied natural gas (LNG) oversupply and unseasonal weather. Yet, the prices of natural gas in local currencies have increased in a number of developing countries in Africa, the Middle East, Latin America, former Soviet Union (FSU) and Asia. North America experienced demand growth while gas in Europe and Asia faced rising competition from cheaper coal, renewables and, in some instances, nuclear. Gains to European demand were mostly weather related while increases in Africa and Latin America were not significant. For LNG, Europe became the market of last resort as Asian consumption declined. Moreover, an anticipated surge in LNG supply, brought on by several new projects, may lead to a confrontation with Russian or other pipeline gas suppliers to Europe. At the same time, Asian buyers are seeking concessions on pricing and flexibility in their long-term contracts. Looking ahead, natural gas has to prove itself a credible and affordable alternative to coal, notably in Asia, if the world is to reach its climate change targets. The future of the gas industry will also depend on oil prices, evolution of Chinese energy demand and impact of COP21 on national energy policies. Current low prices mean there is likely to be a pause in final investment decisions (FIDs) on LNG projects in the coming years.

Urals Oil fell to 54.22 USD/Bbl on December 1, 2025, down 0.37% from the previous day. Over the past month, Urals Oil's price has fallen 7.52%, and is down 17.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Urals Crude.

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The raw data were collected during 9 flights aboard a NASA ER-2 aircraft over the Gulf of Mexico and portions of California, Colorado, Arizona, Utah, Idaho, New Mexico, Texas, Arkansas, Illinois, Wisconsin, Michigan, Louisiana, Mississippi, and Florida from 2010-07-31 to 2010-09-01. A primary purpose of this deployment was to collect imagery related to the Deepwater Horizon-BP Oil Spill that occurred in late April 2010 in the Gulf of Mexico. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 12, and contains only the reference case. The dataset uses 2009 dollars per gallon. The data is broken down into crude oil prices, residential; commercial, industrial, transportation, electric power and refined petroleum product prices.

Context

Oil storage tanks play an important role in the global economy. Crude oil is stored in tanks at many points between extraction and sale. Storage tanks are also used by nations to stockpile oil reserves. The volume of oil in storage is an important economic indicator. It indicates which oil producing nations are increasing or decreasing production and gives a window into the global demand for energy. At the same time, oil storage information is not transparent. Nations may hide information about oil production, consumption and storage for economic or military reasons. For this reason, companies like Planet and Orbital Insight have made a business of collecting satellite imagery of oil storage tanks and estimating reserve volumes.

Tank volume estimation is possible because oil is typically stored in floating head tanks. This particular tank type has a head that sits directly on top of the crude oil to prevent buildup of fumes. As a result, the height of the tank head rises and falls with the volume of oil in the tank. The relative sizes of the exterior shadow cast by the tank itself and the interior shadow cast by the height of the tank head can be used to estimate the tank volume.

Content

The dataset contains satellite images taken from Google Earth of tank-containing industrial areas around the world. Images are annotated with bounding box information for floating head tanks in the image. Fixed head tanks are not annotated.

The large_images directory contains the raw 4800x4800 images saved from Google Earth. Files are named following an id_large.jpg format.

The image_patches directory contains 512x512 patches generated from the large image. Each large image is split into 100 512x512 patches with an overlap of 37 pixels between patches on both axes. Image patches are named following an id_row_column.jpg format.

labels.json contains labels for all images. Labels are stored as a list of dictionaries, one for each image. Images that do not contain any floating head tanks are given a label of 'skip'. Bounding box labels are in the format of (x, y) coordinate pairs of the four corners of the bounding box.

labels_coco.json contain the same labels as the previous file, converted into COCO label format. Here bounding boxes are formatted as [x_min, y_min, width, height]

large_image_data.csv contains metadata about the large image files, including coordinates of the center of each image and the altitude.

Acknowledgements

This dataset was made possible by Google Earth

ADEC Fall 1989 Shoreline Oiling Survey - The fall data represents a summary of beached oil concentration following the completion of all major spill treatment in 1989. Survey dates were from September 11, 1989 through November 3, 1989. The following description is from the published ADEC reports: During this survey additional information was also recorded on oil penetration, oil thickness, shoreline type, sediment type, location of photographs and sediment samples, quality of oil, location of oiling within the intertidal area, and fucus damage. Shorelines were individually walked by a field assessment team consisting of two or three persons. Inaccessible areas were surveyed by skiff; no oil was classified from the air. Each team used a computer generated map from 1:63,360 source material, showing a beach segment on a single page, typically enlarged to a scale of 1:10,000. Segment surveys were conducted primarily during low tide. In areas of light to very light oiling, the team had the option to perform the survey at a midtide level since the oil was almost always found along the hightide swash line. MultiAgency Spring 1990 Shoreline Oiling Survey - The 1990 Spring Survey (SSAT) was conducted between March 23, 1990 and June 7, 1990. Surveys were conducted by representatives from the State of Alaska, US Coast Guard, local land owners, and Exxon Corporation. Typical crew size was six members. The survey was intended to include all areas of shoreline oiling. Exxon provided for the timely automation and delivery of these data. Data available from the Alaska Department of Natural Resources.

As of August 2025, the average annual price of Brent crude oil stood at 71.3 U.S. dollars per barrel. This is over nine U.S. dollars lower than the 2024 average. Brent is the world's leading price benchmark for Atlantic basin crude oils. Crude oil is one of the most closely observed commodity prices as it influences costs across all stages of the production process and consequently alters the price of consumer goods as well. What determines crude oil benchmarks? In the past decade, crude oil prices have been especially volatile. Their inherent inelasticity regarding short-term changes in demand and supply means that oil prices are erratic by nature. However, since the 2009 financial crisis, many commercial developments have greatly contributed to price volatility, such as economic growth by BRIC countries like China and India, and the advent of hydraulic fracturing and horizontal drilling in the U.S. The outbreak of the coronavirus pandemic and the Russia-Ukraine war are examples of geopolitical events dictating prices. Light crude oils - Brent and WTI Brent Crude is considered a classification of sweet light crude oil and acts as a benchmark price for oil around the world. It is considered a sweet light crude oil due to its low sulfur content and low density and may be easily refined into gasoline. This oil originates in the North Sea and comprises several different oil blends, including Brent Blend and Ekofisk crude. Often, this crude oil is refined in Northwest Europe. Another sweet light oil often referenced alongside UK Brent is West Texas Intermediate (WTI). WTI oil prices amounted to 76.55 U.S. dollars per barrel in 2024.

Heating Oil Consumption And Cost (2010 - 2022)

Consumption and cost of heating oil (2010 - 2022)

By data.world's Admin [source]

About this dataset

How much heating oil do New Yorkers use? And how much does it cost them? This dataset provides monthly consumption and cost data for heating oil in New York City, broken down by borough and development. The data includes information on utility vendors and meters, making it possible to track trends over time

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How to use the dataset

This dataset contains monthly consumption and cost data for heating oil in New York City. The data is organized by borough and development, and includes information on the utility vendor and meter used.

This dataset can be used to track trends in heating oil consumption and cost over time, as well as to compare consumption and costs across different developments in New York City

Research Ideas

Predicting future heating oil consumption trends in New York City Analyzing the impact of weather on heating oil consumption Determining the most efficient heating oil providers in New York City

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: heating-oil-consumption-and-cost-2010-feb-2022-1.csv | Column name | Description | |:-----------------------|:----------------------------------------------------------| | Development Name | The name of the development. (String) | | Borough | The borough in which the development is located. (String) | | Account Name | The name of the account. (String) | | Location | The location of the development. (String) | | Meter AMR | The meter's AMR reading. (String) | | Meter Scope | The meter's scope. (String) | | TDS # | The TDS number. (String) | | EDP | The EDP. (String) | | RC Code | The RC code. (String) | | Funding Source | The funding source. (String) | | AMP # | The AMP number. (String) | | Vendor Name | The name of the vendor. (String) | | Revenue Month | The revenue month. (String) | | Service Start Date | The service start date. (String) | | Service End Date | The service end date. (String) | | # days | The number of days in the service period. (String) | | Meter Number | The meter number. (String) | | Estimated | Whether or not the consumption is estimated. (String) | | Current Charges | The current charges. (String) | | Consumption (GAL) | The consumption in gallons. (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit data.world's Admin.

Gasoline fell to 1.86 USD/Gal on December 2, 2025, down 0.53% from the previous day. Over the past month, Gasoline's price has fallen 2.79%, and is down 4.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on December of 2025.

INTRODUCTION This dataset covers the main parameters of the oil well operation (well № 807). I work as a lead geologist in an oil field in Siberia and oversee the development of an oil field. Every day I collect real data on the work of oil wells. Let me introduce you a little bit and you become a little oilmen)😃 This well was drilled in 2013 at an oil field in the north of Russia. The depth of this well is 2400 meters. An oil reservoir contains oil and gas dissolved in it under high pressure. There is water in the reservoir below the oil. After the completion of the well construction, a pump is lowered into the well, into which a liquid containing oil, gas and water is supplied. On the surface of the well, a sample is taken every day, which shows how much water and oil is contained in this well in percent (column5 - "Water cut (%)") . From the well, the liquid enters the metering unit, which calculates how much fluid the well produces per day (column2 - "Volume of liquid (m3 / day)") and how much gas (column3 - "Gas volume (m3 / day)"). Knowing the above parameters, I calculate how much oil the well produces (column1 - "Oil volume (m3 / day)"). From the well, the liquid enters the metering unit, which calculates how much fluid the well produces per day (column2 - "Volume of liquid (m3 / day)") and how much gas (column3 - "Gas volume (m3 / day)"). Knowing the above parameters, I calculate how much oil the well produces (column1 - "Oil volume (m3 / day)") and how much water (column4 - "Water volume (m3 / day))").Also, data about the dynamic level (column7 - "Dynamic level (meters)") is taken every day. A sensor is installed in the pump, which is lowered into the well, which shows reservoir pressure in the well (column8 - "Reservoir pressure (atm)") As the well is operated, reservoir pressure begins to decrease, and oil production decreases accordingly. There is less oil and gas, more water - the oil field begins to deplete. The field's profitability is falling.

Why do we need to know all these parameters and how can we apply them?🤔

We build a 3D model of the field, graphs, on the basis of which we can understand at what stage of development this field is. We can understand how much oil has been produced and how much oil remains, its prospects. Based on these data, we can draw conclusions about the profitability of the well, whether it is profitable for the oil company or the well is unprofitable. Thus, having data on the well operation, we will be able to predict not only a decrease in oil production, but we will also know when and what measures and decisions to take to increase oil production!

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board compiled and analyzed historical produced water chemistry data and ancillary oil well information at the Buena Vista, McKittrick, and Cymric Oil Fields in the southwestern San Joaquin Valley (SWSJV), Kern County, California. Historical water chemistry data provide information on the salt mass balance of produced water disposed of on land, and in particular, chloride which is a conservative, nonreactive tracer. Data were compiled from the California Geologic Energy Management Division (CalGEM) Underground Injection Control (UIC) scans of laboratory results for produced water samples, the CalGEM Well Finder database for oil and gas wells, and historical documents (Rogers, 1917; WZI; 1988). The SWSJV_geochem.csv dataset supplements previously compiled chemistry data by the USGS at the Midway-Sunset, Elk Hills, North Belridge, South Belridge, and Lost Hills Oil Fields (cross-referenced in this data release). The Fall1953_volumes_chemistry.csv dataset contains Fall 1953 water production volumes by lease and produced water sample results compiled from Rickett and Reaves (1954a-d) to provide a spatial understanding of historical disposal on land.

Context

This database About How diesel and petrol Prices Rising day By day in UK

Content

Diesel Price And Petrol Price

Acknowledgements

Just For Learning

Inspiration

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