The WTI–Brent Spread (1987–2026): 39 Years of Divergences Show US Logistics, Not Geopolitics, Drove the Gap
In 39 years of WTI–Brent prices, the spread has never exceeded $13 outside a single 60-month window (2011–2015) — when US shale outpaced Oklahoma’s pipelines.
A monthly dataset of the WTI–Brent crude oil price differential from May 1987 to March 2026, with a structural breakdown by era and an episode-level classification of every sustained divergence exceeding $5.
The WTI–Brent spread measures the price differential between West Texas Intermediate crude — the US benchmark delivered at Cushing, Oklahoma — and Brent crude, the seaborne reference for European, African, and Middle Eastern oil. Over 467 monthly observations from May 1987 through March 2026, the spread has held within ±$2 in 51.4% of all months, but has reached extremes exceeding −$27 during a single five-year window. The editorial overview of the WTI-Brent arbitrage situates this dataset within the wider US-versus-Europe pricing question. This page documents every sustained divergence, classifies it by primary driver, and quantifies the structural difference between the pre-shale, shale-glut, and post-export-ban eras.
In 39 years of monthly WTI–Brent data, the absolute spread has never exceeded $13 outside a single 60-month window (January 2011 – December 2015). Inside that window, the spread reached −$27.31 in September 2011 and stayed below −$10 for 26 of the 30 months between January 2011 and June 2013. The mechanism documented in EIA reports is structural: US shale crude production accumulated at Cushing, Oklahoma faster than pipeline outlets and a federal export ban allowed it to leave. Note: this dataset measures the spread between two benchmarks — it does not capture the joint movement of crude prices in response to global supply shocks, which typically lifts or depresses both benchmarks together (see Methodology and Limitations).
WTI–Brent spread, Mar 2026
WTI monthly close, Mar 2026
Brent monthly close, Mar 2026
Current sustained divergence run
- In 39 years of monthly data (467 observations), the absolute WTI–Brent spread has never exceeded $13 outside a single 60-month window from January 2011 through December 2015. The threshold holds at $13 (sensitivity test for the $15 finding).
- The pre-shale era (May 1987 – December 2010, 284 months) averaged a +$1.37 WTI premium over Brent, with WTI trading above Brent in 91.5% of months. The shale-glut era (January 2011 – December 2015, 60 months) averaged a −$10.82 discount — an inversion of more than $12 between consecutive eras.
- The peak monthly discount of −$27.31 occurred in September 2011, while the largest pre-shale absolute spread was −$4.23 (February 2009). The shale-era extreme was more than six times the worst pre-shale month.
- Eleven distinct episodes of sustained divergence (|spread| > $5 for ≥3 consecutive months) occurred over the sample period. The single largest — January 2011 to June 2013, 30 months — accounts for every month with absolute spread above $15 in the entire dataset and produced the −$27.31 extreme of September 2011.
- Geopolitical shocks (Iran sanctions 2018–2019, Russia/Ukraine 2022, Iran/Hormuz 2026) have produced sustained divergences, but each peaked between −$10.31 and −$11.75 — within $4 of one another, and below the structural threshold reached during the shale glut.
- Methodology is reproducible from primary FRED sources (MCOILWTICO, MCOILBRENTEU) and EIA Cushing inventories (MCRST_YCUOK_1). All 467 monthly observations and 11 episode classifications are downloadable as CSV under CC BY 4.0.
467 observations · Monthly · May 1987 – March 2026 · CC BY 4.0 ·
Methodology ·
Cite this dataset
Largest WTI discount (Sep 2011)
Largest WTI premium (Sep 2008)
Months within ±$2 spread
Sustained divergence episodes (|spread|>$5, ≥3 mo)
Months |spread|>$13 outside 2011–2015
Pre-shale average WTI premium (1987–2010)
Chart: The WTI–Brent Spread, May 1987 to March 2026
Monthly WTI–Brent spread, in US dollars per barrel
WTI traded at a $1 premium to Brent for 23 years. Then shale broke Oklahoma’s pipelines. The premium became a $16 average discount for 5 years.
The structural break occurs at the boundary between two production regimes: from May 1987 through December 2010 the spread averaged +$1.37, with WTI trading at a small premium driven by quality (lighter, sweeter crude) and US refinery proximity. Beginning January 2011 the spread inverted abruptly to −$7.35 in a single month and continued to widen for the next eight months, reaching −$27.31 by September 2011.
Sources: U.S. Energy Information Administration (MCOILWTICO, MCOILBRENTEU). Chart: Eco3min Research.
How to Read This Chart
The y-axis shows the WTI minus Brent monthly spread in US dollars per barrel. Positive values mean WTI traded above Brent; negative values mean WTI traded at a discount. The horizontal zero line marks parity. The shaded band marks the 2011-01 to 2015-12 shale-glut window, the only period in the sample during which the absolute spread exceeded $13. Spikes outside this window — visible in 2018–2019, 2022, and 2026 — correspond to documented geopolitical episodes that pushed Brent above WTI but did not reach the structural magnitudes observed during the bottleneck years. The dataset itself is described on our WTI Crude Oil price dataset and Brent Crude Oil price dataset pages.
The Geopolitical Misreading of an American Phenomenon
The dominant interpretation in financial commentary holds that when WTI and Brent diverge sharply, the explanation lies in geopolitical events: a Middle East conflict, OPEC+ supply policy, or Russian sanctions. This framing treats the spread as a signal of global supply stress, with the assumption that Brent — as the seaborne international benchmark — reacts faster to international disruptions than WTI.
The 39-year dataset tells a different story. The single largest sustained divergence in the entire sample occurred between January 2011 and June 2013, when the WTI–Brent spread averaged −$16.24 per barrel for 30 consecutive months and reached an extreme of −$27.31 in September 2011. During this window the spread crossed below −$15 in eighteen separate months. In the remaining 437 months of the sample — covering the Gulf War, the Iraq invasion, the Iran nuclear standoff, the Russian invasion of Ukraine, and multiple OPEC+ supply decisions — the spread never crossed −$13. Not once.
Structural shift in US crude production. US tight oil production, from plays including the Bakken, Eagle Ford, and Permian, rose from approximately 0.8 million barrels per day in 2010 to over 4 million barrels per day by 2014, according to EIA data. This new production was delivered into Cushing, Oklahoma — the WTI futures delivery point — but Cushing was historically connected to refining centers, not to coasts. The pipeline network had been built to flow crude into the central US, not out toward export terminals.
What this dataset does not measure. The WTI–Brent spread is a price differential between two benchmarks. It does not measure absolute oil prices, demand-side movements, refinery margins, or the geopolitical risk premium embedded in spot crude markets. When the Russian invasion of Ukraine pushed Brent from $97.13 in February 2022 to $117.25 in March 2022, WTI rose nearly in tandem from $91.64 to $108.50. The geopolitical shock moved both benchmarks; the spread captured only the residual gap between them. Readers who interpret the spread as a “geopolitical signal” are reading a variable designed to filter out exactly that component.
Outside the 2011–2015 window, the absolute spread never exceeded $13 in 39 years of monthly data — covering every major geopolitical oil event of that period.
Anatomy of the Oklahoma Bottleneck (2011–2014)
The mechanism behind the 2011–2013 spread compression is mechanical and documented in EIA storage reports. Cushing crude oil ending stocks, which had averaged 23.1 million barrels in the EIA Weekly Petroleum Status Report series between 2004 and 2010, rose to 38.1 million barrels by December 2010 and continued to climb through 2012, peaking at 51.8 million barrels in January 2013. . Cushing’s nameplate capacity at the time was approximately 65–75 million barrels of operational storage, according to EIA’s working capacity reports.
The constraint was not absolute capacity. It was the absence of southward outlet pipelines toward the US Gulf Coast refining and export complex, combined with a federal ban on US crude oil exports dating from the 1975 Energy Policy and Conservation Act. Crude that arrived at Cushing from the Bakken and the Permian had two viable destinations: midwest refineries (with limited additional intake capacity) or storage. As storage filled, the price required to clear new barrels into Cushing fell relative to Brent, which traded on water-borne markets with global outlet access.
The first major outlet — the reversal of the Seaway Pipeline from south-flowing to north-flowing in May 2012 — added approximately 150,000 barrels per day of southbound capacity. Subsequent additions (Seaway twin, BridgeTex, Permian Express, Cactus, Keystone XL Phase II) progressively relieved the bottleneck through 2013 and 2014. The spread tracked these additions: from −$22.53 in November 2012, it tightened to −$3.26 by July 2013, six weeks after the Seaway expansion completed. By June 2014, the spread had compressed to −$6.01 despite a Brent price of $111.
A Legitimate Analytical Qualification
A reasonable counter-argument is that the 2011–2013 period coincided with extraordinary geopolitical events that drove Brent higher: the Arab Spring uprisings in late 2010 and 2011, the Libyan civil war that began in February 2011 and removed approximately 1.6 million barrels per day of Brent-priced supply from global markets, and the imposition of Iran nuclear sanctions in mid-2012. The argument runs that these events lifted Brent specifically, widening the spread mechanically.
Three observations qualify but do not overturn the structural reading. First, the WTI–Brent spread began to widen sharply in January 2011 — moving from −$2.30 in December 2010 to −$7.35 in January 2011 — before the Libyan civil war started in February. Second, the Saudi-led OPEC response to the Libyan outage, announced in June 2011, replaced approximately 1.5 million barrels per day of light sweet crude — a capacity match designed precisely to neutralize the Brent supply shock. Third, the spread remained below −$15 well into 2013, more than a year after Libyan production had partly recovered and a full year after Iran sanctions had been priced into Brent. The persistence of the spread cannot be explained by transient geopolitical premia. Internal links: the global pricing reference, including Iran sanctions episodes, is documented on our Brent dataset page, and US dollar effects on commodity pricing are covered in our US Dollar Index dataset.
The spread widened before the Libyan supply shock, persisted well after Saudi spare capacity neutralized it, and tracked southbound pipeline expansions month by month. The empirical signature is a pipeline-capacity story, with geopolitical events overlaying — not driving — the structural break.
Has the Spread Normalized? Post-2015 Evidence
The US crude oil export ban was lifted by the Consolidated Appropriations Act of 2016, signed on 18 December 2015. Combined with the buildout of Gulf Coast export terminals (Corpus Christi, Houston Ship Channel) through 2018, this removed the regulatory constraint that had isolated Cushing from global markets.
The post-export-ban era (January 2016 onward, 123 months) shows partial but not complete normalization. The mean spread sits at −$4.19, with a standard deviation of $2.55 — far narrower than the shale-glut era ($7.02) but distinct from the pre-shale era when WTI traded at a +$1.37 premium. The 5.6-dollar gap between pre-shale mean and post-ban mean reflects the structural cost of moving WTI from Cushing to global markets: pipeline tariffs to Gulf Coast terminals, sea freight from US ports to European refiners, and the freight discount required to compensate buyers of US light tight oil relative to Brent-grade specifications.
Three sustained divergence episodes occurred during this normalized era, each with a clear geopolitical driver:
| Period | Duration | Peak spread | Documented driver |
|---|---|---|---|
| Sep 2018 – Jul 2019 | 11 months | −$10.49 (May 2019) | Iran sanctions reimposition (Nov 2018), OPEC+ output cuts |
| Jun 2022 – Nov 2022 | 6 months | −$10.31 (Jul 2022) | Russia/Ukraine sanctions, EU embargo on Russian Urals, SPR releases |
| Jan 2026 – Mar 2026 (ongoing) | 3 months | −$11.75 (Mar 2026) | Iran tensions, Strait of Hormuz transit disruption |
These three geopolitical episodes share a quantitative signature that distinguishes them from the shale-glut period. Each peaked in a narrow band between −$10.31 and −$11.75, a range of less than $2 across three events spread over seven years. None approached the −$27 extreme of September 2011 or even the −$22.53 of November 2012. The geopolitical channel exists, but its amplitude is bounded.
Geopolitical episodes have moved the spread by between $10.31 and $11.75 at their peaks (Iran 2019, Ukraine 2022, Iran/Hormuz 2026). The Oklahoma bottleneck moved it to $27.31 at peak. The mechanism of the latter — physical inventories trapped behind regulatory and pipeline constraints — has not recurred since 2015 and is structurally absent in the current oil transport system.
The Cushing–Spread Relationship Is Non-Linear and Regime-Dependent
A naive reading of the bottleneck thesis would expect a simple negative correlation between Cushing crude oil inventories and the WTI–Brent spread: more storage filling, wider WTI discount. The data shows something more nuanced.
| Sub-period | Months | Pearson r | Mean Cushing (Kb) | Mean spread ($) |
|---|---|---|---|---|
| Pre-shale fragment (2004-01 to 2010-12) | 84 | −0.62 | 23,097 | +$1.25 |
| Shale glut (2011-01 to 2015-12) | 60 | +0.01 | 40,865 | −$10.82 |
| Post-export-ban (2016-01 to 2026-01) | 121 | +0.42 | 40,593 | −$4.11 |
The pre-shale fragment behaves as a textbook would predict: when Cushing inventories rose, the WTI discount widened (r = −0.62). The shale-glut era shows a near-zero contemporaneous correlation. The post-ban era shows the opposite sign: lower Cushing inventories correlate with a wider WTI discount.
The interpretation that reconciles these regimes is straightforward. Before 2011, Cushing operated as a normal storage hub: occasional fill-ups produced occasional WTI discounts, with the level of inventory mapping directly onto a small price differential. After 2011, the relevant variable was no longer the absolute inventory level but the available outlet capacity — the ability to move crude out of Cushing toward the coasts. Inventories peaked at 69.4 million barrels in March 2017, well after the bottleneck ended, with the spread sitting at only −$2.26 because pipelines and export terminals were by then absorbing the flow. After 2018, the post-ban spread fluctuates around −$4 as a structural cost of US-to-international logistics, and inventory variation reflects export pulls rather than constraints.
The simple regression of spread on Cushing stocks over the full 2004–2026 overlap yields an R² of 0.08 — the lowest-effort statistical test fails by the standard measure of explanatory power. The structural narrative is supported not by linear correlation but by episode-level documentation, mechanism-level analysis (pipeline capacity, export policy, refinery geography), and the empirical observation that no other 60-month window has produced anything close to the 2011–2015 spread distribution.
Inventory-spread correlation is regime-dependent: −0.62 pre-shale, +0.01 during the glut, +0.42 post-ban. A simple regression explains 8% of variance over the full sample. What matters is outlet structure, not stock level.
Distribution by Era: Three Stable Worlds, One Outlier
Spread distribution by era (1987–2026)
The pre-shale, shale-glut, and post-ban eras occupy distinct, non-overlapping price differential regimes.
Sources: U.S. Energy Information Administration (MCOILWTICO, MCOILBRENTEU). Chart: Eco3min Research.
Mean +$1.37, SD $1.29. Quality premium for WTI. 91.5% of months in WTI premium. P10 of +$0.31, P90 of +$2.68 — extremely tight distribution.
Mean −$10.82, SD $7.02. All months in WTI discount. P10 of −$20.83, P90 of −$2.95. Range of more than $26 between best and worst months.
Mean −$4.19, SD $2.55. Vast majority in WTI discount. P10 of −$7.72, P90 of −$1.26. Distribution narrowing but not back to pre-shale.
Spread at −$11.75, in the bottom 10% of post-ban distribution but still inside its envelope. Geopolitical-driven (Iran/Hormuz), not logistical.
- ▸ Spread at −$11.75 (March 2026): a sustained move below −$13 would mark the first crossing of that threshold outside the 2011–2015 shale-glut window in the entire 467-month sample. The current episode is associated with Iran/Hormuz transit tensions documented in market commentary; it has lasted three months.
- ▸ Cushing inventories at 24,498 thousand barrels (January 2026): low by historical standards (mean of post-ban era is 40,593 Kb). A rise above 60,000 Kb combined with an outlet disruption would signal a return of the logistical channel; current values indicate the spread is geopolitically driven rather than structurally.
- ▸ Next EIA Cushing inventory release: weekly. The monthly Cushing ending-stocks series (MCRST_YCUOK_1) is published on the last day of each month. Pipeline capacity additions or removals are tracked in EIA’s pipeline projects database; no major capacity changes are scheduled in 2026.
Eleven Sustained Divergence Episodes (1987–2026)
The following table lists every continuous monthly window in which the absolute spread exceeded $5 for three or more consecutive months. Driver classifications follow the dominant documented mechanism; “hybrid” labels indicate episodes where both logistical and geopolitical drivers were operating simultaneously.
Eleven sustained divergence episodes, 1987–2026
Logistical episodes (gold) include the −$27 extreme. Geopolitical episodes (red) cap below −$12.
Sources: U.S. Energy Information Administration (MCOILWTICO, MCOILBRENTEU). Driver classification: Eco3min Research.
| Period | Months | Peak spread | Median spread | Dominant driver |
|---|---|---|---|---|
| Jan 2011 – Jun 2013 | 30 | −$27.31 | −$16.06 | Logistical (Cushing, export ban) |
| Sep 2013 – Jun 2014 | 10 | −$13.93 | −$7.72 | Logistical (persistent post-Seaway) |
| Feb 2015 – Apr 2015 | 3 | −$8.07 | −$7.52 | Logistical (Cushing pre-ban) |
| Sep 2017 – Jan 2018 | 5 | −$6.49 | −$6.07 | Hybrid (Hurricane Harvey, OPEC+ cuts) |
| Apr 2018 – Jun 2018 | 3 | −$7.00 | −$6.54 | Hybrid (Iran sanctions, Permian bottleneck) |
| Sep 2018 – Jul 2019 | 11 | −$10.49 | −$8.03 | Geopolitical (Iran sanctions) |
| Sep 2019 – Feb 2020 | 6 | −$7.43 | −$6.00 | Hybrid (IMO 2020, Aramco drone attack) |
| Jun 2022 – Nov 2022 | 6 | −$10.31 | −$6.92 | Geopolitical (Russia/Ukraine) |
| Feb 2023 – Apr 2023 | 3 | −$5.76 | −$5.19 | Ambient persistent |
| Nov 2023 – Feb 2024 | 4 | −$6.23 | −$5.85 | Hybrid (Houthi Red Sea attacks) |
| Jan 2026 – Mar 2026 (ongoing) | 3 | −$11.75 | −$6.56 | Geopolitical (Iran/Hormuz) |
Driver classifications are based on documented sources cited in the Methodology section. “Hybrid” indicates the simultaneous presence of meaningful logistical and geopolitical factors during the episode window. Episodes are not predictive: past distributions describe historical patterns, not expected future outcomes.
Historical Turning Points
January 2011 — The Spread Inverts
The WTI–Brent spread moved from −$2.30 in December 2010 to −$7.35 in January 2011 — the first crossing of the −$5 threshold in the entire sample to that point. Cushing inventories that month stood at 38,839 thousand barrels, already at the high end of historical norms. This single-month move marked the beginning of what would become the largest sustained divergence in 39 years of data.
September 2011 — The Extreme
The spread reached −$27.31, with WTI at $85.52 per barrel and Brent at $112.83 per barrel. Cushing inventories had pulled back to 30,058 thousand barrels — counter-intuitively, the spread peaked when storage was draining locally but global Brent prices remained elevated following the Libyan supply disruption and Saudi spare-capacity offset. The mechanism was forward expectation: market participants priced the structural inability to move incremental shale crude out of Cushing toward refining demand, not the contemporaneous storage level. The analytical counterpart to this passage sits in the mapping of the ounce-to-barrel ratio.
May 2012 — The Seaway Reversal
The Seaway Pipeline, originally built to transport crude north from the Gulf Coast to Cushing, was reversed to southbound flow on 17 May 2012, adding approximately 150,000 barrels per day of outlet capacity. The spread that month was −$15.68 — already well above the September 2011 extreme. Subsequent expansions through 2013 and 2014 (Seaway Twin, BridgeTex, Keystone Phase II) progressively relieved the constraint. By July 2013 the spread had compressed to −$3.26.
December 2015 — The Export Ban Lifts
The Consolidated Appropriations Act of 2016, signed 18 December 2015, repealed the four-decade restriction on US crude oil exports established by the 1975 Energy Policy and Conservation Act. The spread that month was −$0.82. While the structural pipeline capacity continued to expand thereafter, the regulatory constraint that had isolated US-priced crude from international markets ceased to operate.
November 2018 — Iran Sanctions and the Post-Ban Geopolitical Channel
The Trump administration reimposed nuclear-related sanctions on Iran effective 5 November 2018, pushing Brent to a sustained premium over WTI. The spread that month was −$7.79. The episode would persist for 11 months, peaking at −$10.49 in May 2019. This was the first sustained divergence in the post-ban era and demonstrated that a Brent-specific supply shock (sanctioned Middle Eastern crude is Brent-priced) can pull the spread into the −$10 to −$11 range — but no further.
March 2026 — Current Observation
The spread closed March 2026 at −$11.75, with WTI at $91.38 and Brent at $103.13. Cushing inventories at the most recent reading (January 2026) stood at 24,498 thousand barrels — well below the post-ban mean of 40,593 Kb. The combination signals a geopolitical-driven episode (consistent with documented Iran/Hormuz transit disruptions in early 2026) rather than a logistical re-emergence. The episode has lasted three months and is the third post-ban geopolitical sustained divergence in the dataset. It approaches but has not crossed the −$13 threshold that has held in the 407 months outside the 2011–2015 window.
Methodology
The dataset combines two FRED price series at monthly frequency, with a third EIA series for inventory context. All observations are end-of-month averages of daily spot prices, retrieved from the public FRED and EIA databases between May 7 and May 12, 2026. Reproduction code is provided below.
where WTIt = MCOILWTICO monthly average,
Brentt = MCOILBRENTEU monthly average,
t indexed from May 1987 through March 2026 (467 monthly observations).
Episode Selection Criteria
such that |spreadt| > $5 for all t..t+k
and k ≥ 2 (i.e., duration ≥ 3 months)}
Sensitivity analysis. Varying the threshold and duration produces the following episode counts: at $5 / 3 months → 11 episodes (84 months total); at $5 / 6 months → 5 episodes; at $7 / 3 months → 3 episodes; at $10 / 3 months → 3 episodes. The headline finding “spread never exceeded $13 outside 2011–2015” survives sensitivity at thresholds $13, $15, and $20 — all return zero months outside the shale-glut window. At threshold $12, also zero months outside. At threshold $10, four months outside (the three geopolitical-episode peaks documented in Section 3 plus October 2018 during the Iran sanctions period). The headline finding is therefore robust at thresholds at or above $12.
Filter definitions. “Pre-shale era” = date < 2011-01-01 (284 months). “Shale-glut era” = 2011-01-01 ≤ date < 2016-01-01 (60 months). “Post-export-ban era” = date ≥ 2016-01-01 (123 months in current sample, through 2026-03). These boundaries follow regulatory and structural breakpoints (US Bakken/Eagle Ford production ramp; Consolidated Appropriations Act of 2016), not optimized statistical thresholds.
Dataset Design
| Variable | Type | Unit | Source | Calculation |
|---|---|---|---|---|
| date | date | YYYY-MM-DD | FRED | Direct |
| wti | float | USD/barrel | FRED MCOILWTICO | Direct |
| brent | float | USD/barrel | FRED MCOILBRENTEU | Direct |
| spread | float | USD/barrel | Derived | wti − brent |
| abs_spread | float | USD/barrel | Derived | |spread| |
| spread_pct | float | % | Derived | spread / ((wti+brent)/2) × 100 |
| divergence_flag | int | 0/1 | Derived | 1 if abs_spread > 5, else 0 |
| divergence_run_id | int | — | Derived | Contiguous run identifier (resets on 0) |
| sustained_divergence_flag | int | 0/1 | Derived | 1 if run length ≥ 3 months, else 0 |
| regime_era | string | — | Derived | pre_shale / shale_glut_era / post_export_ban |
| cushing_stocks_kb | int | thousand barrels | EIA MCRST_YCUOK_1 | Direct (overlap from 2004-01) |
Python Reproduction Code
# Reproduce this dataset from primary sources import pandas as pd from fredapi import Fred fred = Fred(api_key="YOUR_FRED_API_KEY") # Fetch WTI and Brent monthly wti = fred.get_series("MCOILWTICO").rename("wti") brent = fred.get_series("MCOILBRENTEU").rename("brent") # Merge and compute spread df = pd.concat([wti, brent], axis=1).dropna() df["spread"] = df.wti - df.brent df["abs_spread"] = df.spread.abs() # Identify sustained divergence runs df["div_flag"] = (df.abs_spread > 5).astype(int) # [...full code in CSV documentation]
Dataset Download & Reproducibility
467 observations · Monthly · May 1987 – March 2026 · Licensed under CC BY 4.0.
Data Sources & References
- Primary U.S. Energy Information Administration. Crude Oil Prices: West Texas Intermediate (WTI) — Cushing, Oklahoma. FRED series MCOILWTICO. Retrieved 12 May 2026 from https://fred.stlouisfed.org/series/MCOILWTICO.
- Primary U.S. Energy Information Administration. Crude Oil Prices: Brent — Europe. FRED series MCOILBRENTEU. Retrieved 12 May 2026 from https://fred.stlouisfed.org/series/MCOILBRENTEU.
- Primary U.S. Energy Information Administration. Cushing, OK Ending Stocks of Crude Oil. Series MCRST_YCUOK_1. Retrieved 12 May 2026 from EIA Petroleum Data Navigator.
- Research Borenstein, S. and Kellogg, R. (2014). “The Incidence of an Oil Glut: Who Benefits from Cheap Crude Oil in the Midwest?” The Energy Journal, Vol. 35, No. 1.
- Research Kilian, L. (2016). “The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices.” Review of Environmental Economics and Policy, Vol. 10, No. 2, pp. 185–205.
- Reference U.S. Energy Information Administration. “U.S. Crude Oil Production Forecast: Analysis of Crude Types.” May 2014 Special Report.
- Reference Consolidated Appropriations Act of 2016, Public Law 114-113, Division O, Section 101 (repeal of crude oil export ban). 18 December 2015.
- Reference Energy Policy and Conservation Act of 1975, 42 U.S.C. §6212 (original crude oil export restrictions).
Methodological Limitations
- Monthly frequency averages out daily volatility. The April 2020 negative WTI futures settlement (−$37.63 on 20 April 2020) does not appear in the monthly series, which shows WTI at $16.55 for that month. Daily granularity would change the recent-extreme picture and is available via DCOILWTICO and DCOILBRENTEU for replication.
- Cushing inventory data is available only from January 2004 onward in the monthly series, limiting overlap with the spread to 265 observations. Pre-2004 Cushing inventory analysis is qualitative, based on EIA Working Capacity Reports.
- Driver classification of episodes is necessarily ex-post and draws on documented mechanisms identified after the fact. The “hybrid” label, in particular, is judgmental — though restricted to episodes where multiple documented factors operated within the window.
- The sample includes a single shale-glut episode (2011–2015), giving n=1 for the central observation. Strong inference about the bottleneck mechanism rests on the documented physical and regulatory constraints, not statistical replication.
- The dataset reflects spot prices at delivery points. It does not capture freight differentials, quality adjustments for specific buyers, or the WTI Midland and other regional pricing nodes that have developed in the post-shale era.
- The current observation (March 2026) is the most recent monthly close available. Updates to the spread during ongoing geopolitical events (e.g., the Iran/Hormuz episode) are visible in the daily WTI and Brent series before the monthly close is recorded.
Frequently Asked Questions
Why is WTI cheaper than Brent?
Through most of the 1987–2010 period, WTI was actually more expensive than Brent — averaging a +$1.37 premium because of its lighter, sweeter quality and proximity to US refineries. The persistent WTI discount is a post-2010 phenomenon driven by the surge in US tight oil production reaching Cushing, Oklahoma faster than pipelines and a federal export ban allowed it to leave. The discount averaged −$10.82 during the 2011–2015 bottleneck and has narrowed to a mean of −$4.19 since the export ban was lifted in December 2015.
What is the largest WTI–Brent spread in history?
The largest monthly WTI discount versus Brent was −$27.31, reached in September 2011. Eighteen months in the dataset crossed below −$15, all of them between February 2011 and March 2013. The largest WTI premium was +$6.88 in September 2008, during the global financial crisis demand collapse. Daily spreads have reached more extreme values not visible in the monthly series.
Does the WTI–Brent spread predict oil prices?
The spread does not predict the level of global oil prices. It measures the price differential between two benchmarks, which can widen or narrow without either benchmark moving directionally. When global supply shocks affect both crude pools (as during the Russian invasion of Ukraine in 2022 or the Iran/Hormuz episode in early 2026), the levels of both WTI and Brent move together while the spread captures only the residual gap. The spread is therefore informative about US logistics and regional price discovery, not about global crude pricing.
Why did the shale glut not return after the export ban was lifted?
The repeal of the export ban in December 2015 was complemented by infrastructure buildout that began under the ban — Seaway pipeline reversal (May 2012), BridgeTex (2014), Permian Express, and Gulf Coast export terminals at Corpus Christi and Houston (2017–2018). By the time Cushing inventories peaked at 69.4 million barrels in March 2017, the outlet capacity was sufficient to absorb the flow, and the spread sat at −$2.26 rather than −$27. The structural mechanism that produced the 2011–2013 extreme — landlocked crude with no outlet — was eliminated by the combined effect of pipeline expansion and regulatory change.
Is the current spread (March 2026) a return of the shale glut?
The data indicates not. Cushing inventories at the most recent reading (January 2026) stood at 24,498 thousand barrels, well below the post-ban average of 40,593 Kb and far below the peak of 69,414 Kb in March 2017. The current episode is consistent with a Brent-specific geopolitical supply shock (Iran/Hormuz transit disruption) rather than US logistical stress. The spread at −$11.75 has not crossed the −$13 threshold that has held for 407 months outside the 2011–2015 window. Continued monitoring requires both spread depth and Cushing inventory direction.
Has any geopolitical event ever produced a sustained WTI–Brent divergence?
Yes, three sustained episodes since 2018 are best characterized as geopolitically driven: the Iran sanctions period (September 2018 – July 2019, 11 months, peak −$10.49), the Russia/Ukraine episode (June 2022 – November 2022, 6 months, peak −$10.31), and the current Iran/Hormuz episode (January 2026 – March 2026, 3 months and counting, peak −$11.75 to date). All three peaked in a narrow band between −$10.31 and −$11.75, suggesting the geopolitical channel has a practical ceiling below the −$13 threshold reached only in the logistical episode.
Source
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Last updated — 14 June 2026
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