The amount of oil spilled from oil tankers worldwide was approximately 10,000 metric tons in 2024. This was a notable increase compared to the previous year. In 2018, a total of 116,000 metric tons of oil was leaked from oil tanker incidents, the largest quantity leaked in 24 years. Most of the quantity leaked in 2018 was attributable to the incident involving the MT Sanchi in the East China Sea. Since the 1970s and 1980s, the average annual amount of oil spilled from tankers has decreased significantly.

There was an average of *** large oil spills from tanker incidents every year in the decade from 2020 onward. In 2024, *** oil spills were reported where more than *** metric tons of oil leaked. In the years since the 1970s, the number of oil tanker spills has been notably reduced from an excess of ** large oil spills per year. Largest ever oil spills The Gulf war oil spill in January 1991 is the largest global oil spill to ever take place since commercial drilling took off. An estimated *** to *********** gallons of oil were intentionally dumped into the ocean by the Iraqi government, which had invaded Kuwait and was trying to prevent the arrival of a UN-coalition navy force. The second largest oil spill is also one of the more recent disasters, the Deepwater Horizon wellhead blowout in 2010. Over *********** gallons of oil were released into the Gulf of Mexico, while 11 people were killed in the accident. Oil tanker spill causes Oil tankers are the prevailing means of transporting the commodity over distances greater than can be covered by pipelines. Running aground is the most common cause of large oil spills from tankers. ** percent of large oil tanker spills occurring between 1970 and 2024 were due to grounding.

This dataset provides a comprehensive overview of the number of large and medium oil spills (defined as spills greater than 700 tonnes and between 7 to 700 tonnes, respectively) that occurred globally from 1970 to 2023. The data is sourced from OurWorldInData.org, a project by Hannah Ritchie, Veronika Samborska, and Max Roser, and is part of their comprehensive analysis on oil spills.

Source: Hannah Ritchie, Veronika Samborska, and Max Roser (2022) - “Oil spills ” published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/oil-spil ls' [Online Resource].

Citation: Ritchie, H., Samborska, V., & Roser, M. (2022). Oil spills. OurWorldInData. Retrieved from: https://ourworldindata.org/oil-spills

Background: Oil spills are environmental disasters that can have severe social, economic, and ecological impacts. They typically result from the release of crude oil or refined petroleum products from tankers, rigs, wells, and offshore platforms. These spills are most common in marine environments but can also occur on land. Over the decades, there has been a significant reduction in the number and volume of oil spills, particularly from tankers. However, not all oil spills come from tankers; they can also originate from other sources such as offshore oil rigs and damaged pipelines. The most notable incident in recent history is the Deepwater Horizon disaster in the Gulf of Mexico in 2010, which released an estimated 4.9 million barrels (approximately 700,000 tonnes) of oil. Monitoring and tracking oil spills from all sources, including non-tanker incidents, is crucial for global environmental data and safety.

The most common reason for oil tanker spills is unintentional grounding of the vessels. 31 percent of all oil spills that occurred between 1970 and 2024 were the result of the respective vessel running aground. Fire and explosions aboard the tankers were responsible for 11 percent of all oil spills.

In the *****, a ** percent share of the oil spilt from oil tanker spill incidents came from ** incidents. The remaining nine percent of the oil spilt from oil tankers in that decade corresponded to some ** distinct incidents.

In this dataset, we used a multi-sensor day and night satellite approach to track the SANCHI oil tanker collision and oil spill event in January 2018 in the East China Sea. The drifted on fire oil tanker was tracked by Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire product and Day/Night Band (DNB) imagery. Such pathway and locations were also reproduced with a numerical model, with RMS error of < 15 km. MultiSpectral Instrument (MSI) optical imagery during daytime shows smokes on 13 January 2018, further confirms the drifted tanker location. MSI imagery after 4 days of the tanker’s sinking (18 January 2018) reveals oil on the ocean surface to the east and northeast of the tanker sinking location. This combination of all available remote sensing and modeling techniques can provide effective means to monitor marine accidents and oil spills to assist event response.

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Oil spills are disasters that can have severe social, economic, and environmental impacts.

They are the release of crude oil or refined petroleum products from tankers, rigs, wells, and offshore platforms.

These spills are most common in marine environments but can also occur on land. They can have disastrous consequences for local ecosystems, and be expensive due to the loss of oil and the costs involved in their clean-up.

The number of oil spills and the quantity of oil that is spilled from tankers has fallen substantially in recent decades.1

On this page, you can find all our data, visualizations, and writing relating to oil spills. Specifically, this refers to oil spills from tankers – container ships transporting oil – where consistent, high-quality global data is available.

But not all oil spills come from tankers. They can also come from other sites, such as offshore oil rigs and damaged pipelines. The world’s largest (and most well-known) event was Deepwater Horizon in the Gulf of Mexico in 2010. This disaster was caused by an explosion in a drilling rig. The US Government estimates that 4.9 million barrels of oil were released (equivalent to around 700,000 tonnes).

Tracking non-tanker oil spills is essential, but we are unaware of any global, updated databases that include this. Filling this gap would be critical to global environmental data and monitoring.

The Atlantic Empress tanker spilled ******* metric tons of oil off Tobago in 1979. This was the largest oil tanker disaster by quantity of spilled oil since 1967. By comparison, during the ABT Summer oil tanker spill that occurred in 1991, some ******* metric tons of oil was spilled off of the coast of Angola. At the time of the disaster, the vessel had serviced the maritime oil cargo industry for almost 18 years.

This dataset contains the annual average quantity of oil spilled from tankers globally, by decade. Data retrieved from Global Change Data Lab. Follow datasource.kapsarc.org for timely data to advance energy economics research.

Oil spills are disasters that can have severe social, economic, and environmental impacts.

They are the release of crude oil or refined petroleum products from tankers, rigs, wells, and offshore platforms.

These spills are most common in marine environments but can also occur on land. They can have disastrous consequences for local ecosystems, and be expensive due to the loss of oil and the costs involved in their clean-up.

The number of oil spills and the quantity of oil that is spilled from tankers has fallen substantially in recent decades.1

On this page, you can find all our data and writing relating to oil spills. Specifically, this refers to oil spills from tankers – container ships transporting oil – where consistent, high-quality global data is available.

But not all oil spills come from tankers. They can also come from other sites, such as offshore oil rigs and damaged pipelines. The world’s largest (and most well-known) event was Deepwater Horizon in the Gulf of Mexico in 2010. This disaster was caused by an explosion in a drilling rig. The US Government estimates that 4.9 million barrels of oil were released (equivalent to around 700,000 tonnes).

Tracking non-tanker oil spills is essential, but we are unaware of any global, updated databases that include this. Filling this gap would be critical to global environmental data and monitoring.

In 2019, zero oil spills were reported in European Union waters. The number of annual oil spills in EU waters has fallen considerably since the 1990s. In the period of consideration, the number of oil spills peaked in 1990, at **.

The capacity of the world oil tanker fleet grew considerably between 1980 and 2024. In 2024, the global oil tanker fleet had a combined capacity of around 653 million tons deadweight. In terms of tonnage, oil tankers accounted for around 29 percent of global seaborne trade that year. Global oil tanker fleet Despite the rising contribution of renewable sources to the global energy consumption, the global economy is still heavily dependent on oil. Since oil is the most used energy source, increasing energy demand contributes to oil drilling and transportation. This can be also observed in the growing capacity of oil tankers in global seaborne trade over recent decades. South Korea regularly delivers more newly built oil tankers than any other country in the world. Oil spills Petroleum extraction and transport are risky activities that can severely damage the environment if not conducted in accordance with regulations. During the Atlantic Empress incident in 1979, over 287,000 metric tons of oil were spilled into the Caribbean Sea. This was the largest oil tanker disaster in the past 50 years. Recurring oil spills during the second half of the 20th century led to stricter international and national regulations for petroleum extraction, transportation, and production to reduce the damage of the oil economy on the environment. These efforts were repaid: the average annual number of large oil spills worldwide decreased to around two in the 2020-2029 decade, down from an average of 24.5 large oil spills per year between 1970 and 1979. However, oil spills have not been eliminated, despite the better control and diagnostic techniques. In 2024, roughly 10,000 metric tons of oil were leaked from tanker incidents.

The Emergencies Science Division of ESTC provides Spills Technology Databases including Brochures, Oil Properties, Chemical Synonyms, PPA Instruments and Tanker Spills. This database contains information on the properties of various types of oils, a chemical thesaurus where one can look up synonymous chemical names, and information on over 700 tanker spills

Littoral and Sublittoral field surveys were carried out between 25 February and 2 March 1993 around the vicinity of the Braer oil tanker grounding. The aim was to provide a rapid assesment of the oil's impact on the marine benthos of the area with a view to suggesting where future work should be carried out. Nine sublittoral and 14 littoral sites were surveyed using standard MNCR techniques, with additional attention being paid to recording noticeable effects from oil pollution, absence of species which would be expected in particular habitats, fish numbers, and collection of sediment biota for possible hydrocarbon analysis by SOAFD. The effects of the oil spill on the littoral biota appeared very limited in geographical extent, with minimal noticeable difference to expected rocky shore community structure beyond 4 Km of the wreck site. The littoral zone of Garths Ness itself was the most heavily impacted as would be expected, with a high mortality of patellid limpets and littorinids. To the east, in Bay of Quendale, obvious effects were more limited, though there appeared still to be a reduction in the numbers of Patella vulgata and littorinids. Littoral algae and lichens appear unnaffected, with no visible signs of damage such as bleaching. Littoral sediments close to the wreck site occur only in the Bay of Quendale, where extreme sediment mobility results in a very impoverished Crustacean-Polychaete community (Howson 1988). Samples collected from these sediments indicated an absence of any biota. Sublittoral surveys on rock and sediment indicated variation in the extent of damage. Rocky sublittoral areas surveyed within 4 Km of the wreck showed no obvious signs of damage. There was a noticeable absence of fish species but whether this is attributable to the oil spill is not clear. Other elements of the biota appeared to be unnafected, with numerous urchins grazing coralline algae encrusted bedrock, and a sparse kelp zone showing no signs of bleaching. In the same vicinity however, sublittoral sediments showed gross effects, with major mortality of bivalves such as Ensis sp. and Spisula solida, and no other biota observed. This gross effect on sediment biota was still apparent in West Voe, some 20 Km north of the wreck, but was not noted in sites further north towards the head of Clift sound.

Between 1990 and 2010, the largest oil spill accident in European Union waters was the MT Haven spill in 1991. While unloading off the coast of Genoa, Italy, there wan an explosion onboard the MT Haven, resulting in ******* thousand barrels of oil being released into the Mediterranean Sea.

Bicadinanes (C30H52) are a family of non-hopanoid, pentacyclic triterpane biomarkers whose utility in oil spill fingerprinting has, to our knowledge, not been previously explored. Owing to their derivation from Diptocarpaceae tree (dammar) resin, crude oils containing bicadinanes are geographically and temporally limited to Southeast Asian oils sourced from Oligocene or younger strata. Bicadinane-bearing oils produced from Southeast Asia, however, are shipped worldwide and thereby bicadinanes may be present in oils spilled both within and outside of Southeast Asia. Bicadinanes’ relative or absolute concentrations are readily measured using a standard oil spill identification analytical method (GC/MS-SIM) that routinely targets more conventional biomarkers (triterpanes, steranes, and aromatic steroids). In this study, the absolute concentrations of four bicadinane isomers (W, T, T1 and R) were measured in 42 tarballs collected from shorelines along the southern extent of the Straits of Singapore, an area with very high oil tanker and cargo vessel traffic. The tarballs’ specific origins are unknown but safely presumed to be derived from various unknown oil spills and/or oil seeps in the region. GC/FID was used to classify the tarball oils’ level of biodegradation (Levels 1, 4, and 6). The absolute concentration of total bicadinanes ranged from 7.5 to 208 µg/g and varied widely and independent of the level of biodegradation. The relative concentrations among the four bicadinane isomers (T > W>T1∼R; on average, 56% > 20% > 12% each) also showed no obvious or statistically significant trend with biodegradation for the samples studied. Thus, variations in both total and individual isomer concentrations are attributable to the tarballs’ multiple crude oil sources spilled or seeped in the study area. Diagnostic ratios (DRs) are critical components in oil spill identification protocols. A newly proposed DR of (W + T)/hopane varied widely (0.01 to 0.54) and also independently from the more conventionally used DR of 18α(H)-oleanane/hopane (oleanane/hopane; 0.04 to 0.42). Two newly proposed DRs among the four bicadinane isomers, W/T and T/(T1 + R), also varied among the 42 tarball oils studied (0.27 to 0.45 and 1.4 to 3.2, respectively). The variation in the (W + T)/hopane, oleanane/hopane, W/T and T/(T1 + R) ratios was unrelated to the level of biodegradation for the samples studied and exceeded the statistical criteria used in the CEN (2012) oil spill identification protocol (i.e., 95% repeatability limit) and thereby demonstrates these DRs’ utility in comparing and distinguishing among different crude oils containing bicadinanes – and, of course, between crude oils that do and do not contain bicadinanes. The additional specificity offered by bicadinanes argues they should be included as target analytes in oil spill identification studies throughout Southeast Asia or in other areas where Southeast Asian oils are believed to be present (shipped, handled, or used).

Note: Please use this link to leave the data view and to see the full description: https://data.ct.gov/Environment-and-Natural-Resources/Spill-Incidents/wr2a-rnsg

Description of Dataset: This data set represents information reported between July 1, 1996 and June 30, 2022 to the Department of Energy and Environmental Protection (CT DEEP), generally to the CT DEEP Dispatch Center, regarding releases of substances to the environment, generally through accidental spills. For information related to releases reported to CT DEEP from July 1, 2022 to the present, go to Incident Reports for Releases Reported to CT DEEP July 1, 2022 to present at: https://connecticut.hazconnect.com/listincidentpublic.aspx

For a dataset related to releases reported to CT DEEP from July 1, 2022 to recent refer to the CT Open Data dataset: https://data.ct.gov/Environment-and-Natural-Resources/Spill-Incidents-from-July-1-2022-to-Recent-for-Dow/ffju-s5c5

Connecticut General Statutes Section 22a-450 requires anyone who causes any discharge, spillage, uncontrolled loss, seepage or filtration of oil or petroleum or chemical liquids or solid, liquid or gaseous products, or hazardous wastes which poses a potential threat to human health or the environment to report that release to the CT DEEP. Reports of releases from other persons are also included in this dataset.

Examples of what may be included in a spill incident record includes: Administrative information (unique spill case number). Spill date/time. Location. Spill source and cause. Material(s) and material type spilled. Quantity spilled. Measurement units. Surface water bodies affected.

Data limitations and factors to consider when using this data: This data is limited to information about a spill incident as it was known at the time it was reported to CT DEEP. Although some data reflects updated information after the time of the initial notification, CT DEEP is unable to field check and verify all reported information. Therefore, information later determined to be incomplete or inaccurate may exist in this data set. There may also be spelling errors or other unintentionally inaccurate data that was transcribed in the spill incident report.

This dataset is a subset of records and information that may be available about releases that have occurred at specific locations. This dataset does not replace a full review of files publicly available either on-line and/or at CT DEEP’s Records Center.

For a complete review of agency records for this or other agency programs, you can perform your own search in our DEEP public file room located at 79 Elm Street, Hartford CT or at our DEEP Online Search Portal at: https://filings.deep.ct.gov/DEEPDocumentSearchPortal/Home .

If errors are found or there are questions about the data, please contact the program unit using the following email address: DEEP.SpillsDocs@ct.gov

Discover the booming fuel oil leak detection systems market. This comprehensive analysis reveals key trends, growth drivers, and regional market shares, forecasting significant expansion to 2033. Learn about leading companies and technological advancements shaping this crucial sector for environmental protection and safety.

This data shows the point locations of tanks registered with the State of Maine. It contains locations for both aboveground (AST) and belowground (UST) tanks. The state tanks registration database is overseen by staff from the Maine Department of Environmental Protection (MEDEP). All GIS data within this layer is managed by the MEDEP GIS Unit located in Augusta, Maine. The method of location collection for each tank can be found in the "Location_Method" field. Estimated accuracy of each tank is found in the “Location_Accuracy” field, while the “Data_Source” contains the group who collected the tank location.

The Fuel Spill Containment market plays a crucial role in safeguarding the environment and promoting safety across various industries, including oil and gas, transportation, and manufacturing. As the risk of fuel spills remains a significant concern due to operational failures, natural disasters, or human error, eff