Data on petroleum inputs, production, yield, and capacity. Weekly, monthly and annual data available. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

This dataset contains Refinery distillation capacity, throughput and output 2012-2019. Data from United Nations Statistics Division. Follow datasource.kapsarc.org for timely data to advance energy economics research.Notes: - Refer back to the original source for numbers estimated by the United Nations Statistics Division (numbers with * symbol).- Output is equal to the sum of “production from refineries” for aviation gasoline, bitumen, gas/diesel oil, ethane, feedstocks, gasoline-type jet fuel, kerosene-type jet fuel, other kerosene, liquefied petroleum gas, lubricants, motor gasoline, naphtha, petroleum coke, other oil products, paraffin waxes, fuel oil, refinery gas and white spirits.- Throughput is equal to the sum of “transformation in refineries” for conventional crude oil, feedstocks, other hydrocarbons, additives and oxygenates, and natural gas liquids.

Facilities that separate and convert crude oil or other feedstock into liquid petroleum products, including upgraders and asphalt refineries. Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States. The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.

Russia Primary Crude Oil Refining: Rosneft: RN-Komsomolsk Refinery data was reported at 614.100 Ton th in Jan 2019. This records an increase from the previous number of 599.800 Ton th for Dec 2018. Russia Primary Crude Oil Refining: Rosneft: RN-Komsomolsk Refinery data is updated monthly, averaging 600.500 Ton th from Dec 2004 (Median) to Jan 2019, with 170 observations. The data reached an all-time high of 708.900 Ton th in Mar 2011 and a record low of 236.900 Ton th in Aug 2013. Russia Primary Crude Oil Refining: Rosneft: RN-Komsomolsk Refinery data remains active status in CEIC and is reported by Central Dispatching Department of Fuel and Energy Complex. The data is categorized under Russia Premium Database’s Energy Sector – Table RU.RBG002: CDU TEK: Crude Oil Refining: by Refineries.

Russia Primary Crude Oil Refining: Year to Date: As % of Total: Yaisky Refinery data was reported at 1.100 % in Jan 2019. This records an increase from the previous number of 1.000 % for Dec 2018. Russia Primary Crude Oil Refining: Year to Date: As % of Total: Yaisky Refinery data is updated monthly, averaging 1.000 % from Jul 2013 (Median) to Jan 2019, with 67 observations. The data reached an all-time high of 1.100 % in Jan 2019 and a record low of 0.100 % in Jul 2013. Russia Primary Crude Oil Refining: Year to Date: As % of Total: Yaisky Refinery data remains active status in CEIC and is reported by Central Dispatching Department of Fuel and Energy Complex. The data is categorized under Russia Premium Database’s Energy Sector – Table RU.RBG004: CDU TEK: Crude Oil Refining: Top Companies Share.

This statistic shows selected data about the Dangote Oil Refinery in Lagos, Nigeria as of 2017. The Dangote Oil Refinery, which is expected to open in 2019, will be the world's largest oil refinery when it is completed. The project's production capacity is expected to be approximately 650,000 barrels of oil per day.

Graph and download economic data for Employment for Manufacturing: Petroleum Refineries (NAICS 32411) in the United States (IPUEN32411W200000000) from 1987 to 2020 about refineries, petroleum, NAICS, IP, manufacturing, employment, and USA.

This dataset contains Production of Oil Products from Refineries –by type for 2012-2019. Data from United Nations Statistics Division. Follow datasource.kapsarc.org for timely data to advance energy economics research.Notes: -Refer back to the original source for numbers estimated by the United Nations Statistics Division. (numbers with * symbol).- Please refer to the Definitions Section on pages ix to xv for the appropriate product description/ classification, and xvi to xvii for the descriptions of relevant flows.- Production comprises all refinery output of all oil products.- The Jet fuels column comprises aviation gasoline, gasoline-type jet fuel, and kerosene-type jet fuel.- Other products column includes bitumen, ethane, feedstocks, lubricants, petroleum coke, paraffin waxes, white spirit, and other oil products.

Refinery Crude Runs in the United States decreased to -45 Thousand Barrels in March 14 from 321 Thousand Barrels in the previous week. This dataset provides - United States Refinery Crude Runs- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The attribute data for this point dataset come from the U.S. Energy Information Administration, Refinery Capacity Report, Table 3, Capacity of Operable Petroleum Refineries by State report, which is sourced from U.S. Energy Information Administration, Form EIA-820, Annual Refinery Report. The geographic area the report covers is the 50 States, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, and other U.S. possessions.

The facility location data represent the approximate location based on research of publicly available information from sources such as Federal agencies, company websites, and satellite images on public websites.

In 2023, the world's oil refinery capacity reached 103.5 million barrels per day. Overall, global refinery capacity has nearly doubled in the past fifty years and experienced the largest growth during the 1970s. Production, demand, and refineries Since the turn of the millennium, global refinery capacity has grown at a more consistent rate than oil production. However, refinery capacity has not been sufficient in keeping up with rising demand. Refineries in the United States have been particularly stretched by the drastic increase in extraction of shale oil over the past decade, which allowed the United States to become the leading producer of oil in the world. Consumption expanding in Asia While historically Europe, Eurasia, and North America have been the largest consumers of petroleum, regional distribution is shifting as consumption rises rapidly in Asia. China is currently the second-largest consumer of oil in the world, following the United States.

Russia Primary Crude Oil Refining: Gazprom Neft: Gazprom Neft-Omsk Refinery data was reported at 1,798.600 Ton th in Jan 2019. This records a decrease from the previous number of 1,799.100 Ton th for Dec 2018. Russia Primary Crude Oil Refining: Gazprom Neft: Gazprom Neft-Omsk Refinery data is updated monthly, averaging 1,631.450 Ton th from Dec 2004 (Median) to Jan 2019, with 170 observations. The data reached an all-time high of 1,886.100 Ton th in Aug 2016 and a record low of 1,098.700 Ton th in Sep 2005. Russia Primary Crude Oil Refining: Gazprom Neft: Gazprom Neft-Omsk Refinery data remains active status in CEIC and is reported by Central Dispatching Department of Fuel and Energy Complex. The data is categorized under Russia Premium Database’s Energy Sector – Table RU.RBG002: CDU TEK: Crude Oil Refining: by Refineries.

Learn about refinery distillation, a key process in petroleum refining that separates crude oil into various fractions based on boiling points. Discover the steps involved, the collection of different products at different levels, and the importance of careful control and advanced techniques in the process.

Graph and download economic data for Producer Price Index by Industry: Petroleum Refineries: Primary Products (PCU324110324110P) from Jun 1985 to Feb 2025 about refineries, petroleum, primary, PPI, industry, inflation, price index, indexes, price, and USA.

The Kilian and Murphy (Journal of Applied Econometrics, 2014, 29, 454-478) structural vector autoregressive model has become the workhorse model for the analysis of oil markets. I explore various refinements and extensions of this model, including the effects of (1) correcting an error in the measure of global real economic activity, (2) explicitly incorporating narrative sign restrictions into the estimation, (3) relaxing the upper bound on the impact price elasticity of oil supply, (4) evaluating the implied posterior distribution of the structural models, and (5) extending the sample. I demonstrate that the substantive conclusions of Kilian and Murphy (2014) are largely unaffected by these changes.

This dataset contains information about world's oil regional refining margins. Data from BP. Follow datasource.kapsarc.org for timely data to advance energy economics research. Note: The refining margins presented are benchmark margins for three major global refining centres. US Gulf Coast (USGC), North West Europe (NWE - Rotterdam) and Singapore

In each case they are based on a single crude oil appropriate for that region and have optimized product yields based on a generic refinery configuration (cracking, hydrocracking or coking), again appropriate for that region.

The margins are on a semi-variable basis, ie the margin after all vari

[Context/Motivation] Integrating user feedback into software development enhances system acceptance, decreases the likelihood of project failure and strengthens customer loyalty. Moreover, user feedback plays an important role in software evolution, because it can be the basis for deriving requirements. [Problems] However, to be able to derive requirements from feedback, the feedback must contain actionable change requests, that is contain detailed information regarding a change to the application. Furthermore, requirements engineers must know how many users support the change request. [Principal ideas] To address these challenges, we propose an approach that uses structured questions to transform non-actionable change requests into actionable and validate the change requests to assess their support among the users. We evaluate the approach in the large-scale research project SMART-AGE with over 200 older adults, aged 67 and older. [Contribution] We contribute a set of templates for our questions and our process, and we evaluate the approach’s feasibility, effectiveness and user satisfaction, resulting in very positive outcomes.

VOC canister and tube data from Whiting, Indiana. This dataset is associated with the following publication: Mukerjee, S., L. Smith, M. Caudill, K. Oliver, W. Whipple, D. Whitaker, and T. Cousett. Application of passive sorbent tube and canister samplers for volatile organic compounds at refinery fenceline locations in Whiting, Indiana. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 68(2): 170-175, (2018).

Russia Primary Crude Oil Refining: Year to Date: Yaroslavl Refinery data was reported at 0.000 Ton th in Oct 2018. This stayed constant from the previous number of 0.000 Ton th for Sep 2018. Russia Primary Crude Oil Refining: Year to Date: Yaroslavl Refinery data is updated monthly, averaging 73.800 Ton th from Dec 2004 (Median) to Oct 2018, with 107 observations. The data reached an all-time high of 359.600 Ton th in Dec 2014 and a record low of 0.000 Ton th in Oct 2018. Russia Primary Crude Oil Refining: Year to Date: Yaroslavl Refinery data remains active status in CEIC and is reported by Central Dispatching Department of Fuel and Energy Complex. The data is categorized under Russia Premium Database’s Energy Sector – Table RU.RBG003: CDU TEK: Crude Oil Refining: by Refineries: ytd.

3582 Global import shipment records of Oil Refining with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.