Oil & Gas Refining & Marketing · Government of Canada Open Government Portal / Canada Energy Regulator

Canada Energy Regulator - Pipeline Throughput and Capacity Data

Datadory delivers Oil & Gas Refining & Marketing data covering Canada Energy Regulator pipeline throughput and capacity data: regulator-filed monthly volumes for the major CER-regulated oil and liquids pipelines and daily figures for natural gas pipelines, from January 2006 through the present, across roughly twenty pipeline systems including Keystone, Trans Mountain, NGTL, TransCanada Mainline, Alliance and Enbridge Canadian Mainline - each row carrying throughput against committed and uncommitted volumes, nameplate and available capacity, key-point location and direction of flow. Delivered daily, weekly, or hourly. Get a sample of this dataset scoped to your pipelines.

API, files, or your warehouse. Daily, weekly, or hourly.

geography
Canada - every CER-regulated major pipeline system, measured at named key points spanning producing regions, provincial borders and export crossings, from Burnaby on the Pacific coast to the Maritimes & Northeast line
How far back
1 January 2006 to present; record metadata verified through 31 March 2026 during the August 2026 research pass
How fine
Monthly per key point for oil and liquids pipelines; daily per key point for natural gas pipelines - each row split by trade type, direction of flow and product

What is Canada Energy Regulator - Pipeline Throughput and Capacity Data?

Oil & Gas Refining & Marketing - the official flow record of Canada's trunk pipelines. Since 2016, major pipeline companies regulated by the Canada Energy Regulator have been required under Guide BB of the CER Filing Manual to report throughput and capacity on a fixed schedule: oil and liquids pipelines monthly, natural gas pipelines daily. Those filings assemble into a series spanning 1 January 2006 to the present, organized as roughly forty-eight files - one per pipeline system plus three data dictionaries - each published in English and French.

The system list is effectively a map of Canadian energy geography: Keystone, Trans Mountain (current files plus an archived set preserving the pre-May-2024 product categorizations), Trans-Northern, Cochin, NGTL System, TransCanada Mainline, Foothills, Alliance, Westcoast, Trans Quebec & Maritimes, Maritimes & Northeast, Enbridge Canadian Mainline, Enbridge Norman Wells, Southern Lights, Brunswick, Westspur, Enbridge Line 9, Montreal and Suffield.

What makes it analytically useful is the pairing on every row: what actually moved, next to what could have. Throughput sits beside committed and uncommitted volumes, nameplate capacity and available capacity, with a Reason For Variance field explaining the gap between physical limit and working reality - maintenance, crude type, unplanned outages, downstream constraints, pressure restrictions. Capacity utilization stops being an estimate and becomes a calculation.

Ask for a sample and we send real rows from the pipelines you name - not screenshots of rows.

What do sample rows look like?

One row per key point per period, identifying columns first, volumes last - shaped to load straight into a warehouse table. Three verified observations:

Date: 2006-01-01   Company: Trans Mountain Pipeline ULC
Pipeline: Trans Mountain pipeline   Key Point: Burnaby
Lat/Lon: 49.2685, -122.931   Direction Of Flow: west
Trade Type: intracanada   Product: domestic heavy
Throughput (1000 m3/d): 0.0

Date: 2006-01-01   Company: Trans Mountain Pipeline ULC
Pipeline: Trans Mountain pipeline   Key Point: Burnaby
Product: domestic light
Throughput (1000 m3/d): 7.7792

Date: 2006-01-01   Day: 1
Company: NGTL GP Ltd. as general partner on behalf of NGTL Limited Partnership
Pipeline: NGTL System   Key Point: East Gate
Lat/Lon: 50.6608, -110.028   Direction Of Flow: east & southeast
Trade Type: intracanada
Capacity (1000 m3/d): 220461.0   Throughput (1000 m3/d): 228618.3
Throughput (GJ/d): 8641771.74

Read together they show both reporting rhythms. The Trans Mountain rows are monthly oil filings, one product stream per row - domestic heavy reading zero at Burnaby that month while domestic light moved 7,779 cubic metres a day westward. The NGTL row is a daily gas filing, and it carries the gas-only extras: a theoretical capacity of 220,461 thousand cubic metres a day against throughput of 228,618 - above nameplate, which is exactly why the available-capacity field exists - and an energy-basis figure of 8.64 million GJ a day for teams that model gas in heat content rather than volume. Request a sample and you get rows scoped to your own pipeline list and date range.

What fields does the dataset include?

Sixteen documented fields define the observation, each definition checked against the regulator's own data dictionaries during the August 2026 research pass and marked verified. Identification comes first - company, pipeline, key point, coordinates, direction of flow, trade type - then the measurement block: throughput, committed and uncommitted volumes, nameplate and available capacity, and the variance reason that ties them together. Natural gas files add the energy-basis columns.

The dictionary below is the verified core. Companion resources confirmed during sample preparation fold out on request rather than being promised blind.

What does coverage look like across geography, time and granularity?

Geography - every major CER-regulated pipeline system in Canada, measured at named key points chosen by the operating companies. Those points span producing regions, provincial borders and export crossings, from Burnaby on the Pacific side of Trans Mountain to the eastern reaches of Maritimes & Northeast - so corridor-level flow stories resolve without any geo-guesswork.

Temporal - 1 January 2006 to the present, roughly two decades per system, with record metadata verified through 31 March 2026 during our August 2026 research pass. Recent periods fill in as operators file on their regulatory schedule, so the newest month arrives complete rather than provisional.

Granularity - monthly per key point for oil and liquids pipelines, daily per key point for natural gas pipelines, each row further split by trade type (import, export, intra-Canada), direction of flow and product stream. Against the wider catalog - 1,744 datasets averaging 7.81 - this slice scores 9/10, lifted by verified field documentation and two decades of unbroken filing.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your team already works in: queries for live lookups against a specific pipeline and key point, flat files sized for overnight warehouse loads, or a direct pipe into Snowflake, BigQuery or Redshift. Cadence is yours to set - and to change when your models change.

Every delivery ships with the full field dictionary, sample rows for validation, and a schema that holds steady between refreshes.

Who uses this data, and for what?

  • Capacity-utilization monitoring - throughput against available capacity with the variance reason attached; see our data scientists use cases page.
  • Egress and basis analysis - corridor-by-corridor volumes underpin Canadian differential arguments and takeaway-capacity claims; more on our investors quants use cases page.
  • Refinery and marketing supply planning - domestic heavy versus light splits by direction of flow show which barrels reach which markets, the raw material of slate planning.
  • Natural gas demand modeling - daily volumetric and gigajoule figures for NGTL and the mainline systems feed short-term demand and storage work.
  • Contracting-market evidence - committed versus uncommitted splits (Keystone, from January 2023) offer a public read on how much pipe is sold forward.
  • Midstream diligence and journalism - twenty years of per-system history grounds valuations and market-access reporting alike; see our journalists academics use cases page.

Which personas get the most value?

Data scientists and ML engineers get a two-decade monthly panel with verified definitions and stable keys - no scraping archaeology, no silent schema drift. Investors and quant researchers get regulator-filed flows as the highest-frequency official read on Canadian midstream utilization, weeks ahead of annual filings. Market researchers and consultants get pipeline-by-pipeline sizing with provenance that survives citation. Journalists, academics and students get the primary numbers behind every pipeline-capacity story, straight from the operators' own filings. Developers building data products get flat tabular files with a consistent column dictionary (builders' use cases), and competitive-intel teams (their use cases) watch which corridors and key points gain volume share month over month.

What should I know before requesting a sample?

Three things, stated up front.

First, contracting detail has a shorter clock than flow detail. Committed and uncommitted volume splits exist only for Keystone and only from January 2023 onward - fine for trend work going forward, thin for historical contracting analysis.

Second, Trans Mountain changed categories in May 2024. Product categorizations were revised around the TMX expansion, so long-run consistency checks should run against the archived file set; we include it in samples when the analysis window crosses that boundary.

Third, units deserve one look before joins. The natural gas dictionary carries a unit note that appears inconsistent with its column header, so we pin exact units against shipped rows before delivery rather than trusting labels alone. Tell us the pipelines, key points and period range you care about and the sample arrives shaped to them, dictionary attached.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - sixteen documented fields, one row per key point per period
fieldtypedefinitionexample
DatedatePeriod the data refers to - monthly for oil and liquids pipelines, daily for natural gas pipelines.2006-01-01
CompanystringLegal entity that owns and operates the pipeline.Trans Mountain Pipeline ULC
PipelinestringName of the pipeline system as determined by the corporate entity.NGTL System
Key PointstringLocation along the pipeline where throughputs are measured and reported, determined by the corporate entity.East Gate
Latitude / LongitudenumberCoordinates of the key point where throughput is reported.50.6608, -110.028
Direction Of FlowstringDirection the product or gas flows through the pipeline at the key point.east & southeast
Trade TypeenumWhether the volume is being imported, exported, or shipped intra-provincially/intra-Canada.intracanada
ProductstringType of oil product being transported - oil pipeline files only.domestic heavy
Throughput (1000 m3/d)numberVolume of product flowing through the pipeline at the indicated key point, in thousand cubic metres per day.7.7792
Committed Volumes (1000 m3/d)numberVolume shipped as committed (contracted) transportation service; available for Keystone only starting January 2023.-
Uncommitted Volumes (1000 m3/d)numberVolume shipped as uncommitted transportation service; available for Keystone only starting January 2023.-
Nameplate Capacity (1000 m3/d)numberPhysical limit to the amount of product the pipeline can safely carry, in thousand cubic metres per day.-
Available Capacity (1000 m3/d)numberActual pipeline capacity affected by factors such as crude type, unplanned outages, maintenance, downstream constraints or pressure restrictions.-
Reason For VariancetextReason the available capacity does not match nameplate capacity.-
Capacity (1000 m3/d)numberMaximum amount of natural gas the pipeline can theoretically move at a given time - natural gas files.220461.0
Throughput (GJ/d)numberEnergy content of the natural gas flowing through the pipeline at the key point, in gigajoules per day - natural gas files.8641771.74

What teams do with it

  • Capacity-utilization monitoring Throughput against available capacity, with Reason For Variance explaining the gap - maintenance, crude type, downstream constraints - so egress risk is read off the data rather than inferred from news releases.
  • Egress and basis analysis Track volumes crossing producing regions and export crossings month by month to ground Canadian differentials and takeaway-capacity arguments in regulator-filed numbers.
  • Refinery and marketing supply planning Domestic heavy versus domestic light splits by direction of flow show which barrels are reaching which markets - the input refiners and marketers need for slate planning.
  • Natural gas demand modeling Daily NGTL, TransCanada Mainline and other gas-system throughput in both volumetric and GJ terms feeds short-term demand and storage models at daily resolution.
  • Contracting-market evidence Committed versus uncommitted volume splits (Keystone from January 2023) give shippers and analysts a public read on how much pipe is sold forward versus open.
  • M&A and midstream diligence Twenty years of per-system flow history supports valuation work on assets and corridors, including the archived Trans Mountain series for pre-expansion baselines.

Questions buyers ask

What exactly does canada energy regulator pipeline throughput and capacity data data include?

Regulator-filed throughput and capacity figures for the major CER-regulated Canadian pipelines: monthly volumes for oil and liquids systems such as Keystone, Trans Mountain and Enbridge Line 9, and daily figures for natural gas systems such as NGTL and TransCanada Mainline. Each row carries the company, pipeline, measuring key point, coordinates, direction of flow and trade type alongside the volumes themselves.

How far back does it go, and how current is it?

Coverage starts 1 January 2006 and runs to the present; the record metadata was verified through 31 March 2026 during our August 2026 research pass. Filings arrive on a fixed regulatory schedule - monthly for oil and liquids pipelines, daily for natural gas - so recent periods fill in as operators report rather than all at once.

Which pipelines are covered?

Roughly twenty major systems: Keystone, Trans Mountain (with an archived file set preserving pre-May-2024 product categorizations), Trans-Northern, Cochin, NGTL System, TransCanada Mainline, Foothills, Alliance, Westcoast, Trans Quebec & Maritimes, Maritimes & Northeast, Enbridge Canadian Mainline, Enbridge Norman Wells, Southern Lights, Brunswick, Westspur, Enbridge Line 9, Montreal and Suffield, plus three data dictionaries describing them.

What is the difference between nameplate and available capacity?

Nameplate is the physical limit the pipeline can safely carry. Available capacity is the realistic figure after factors such as crude type, unplanned outages, maintenance, downstream constraints or pressure restrictions bite - and the Reason For Variance field states why the two differ in any given period. Dividing throughput by available capacity gives a defensible utilization series.

Do natural gas pipelines report the same fields as oil pipelines?

Not quite. Gas systems add an energy dimension - throughput in gigajoules per day beside the volumetric figure - plus their own capacity column. One documentation quirk worth knowing: the gas dictionary carries a unit note that appears inconsistent with its column header, so we pin exact units against shipped rows before any delivery rather than trusting the label alone.

What caveats should I know before building on it?

Three. Committed and uncommitted volume splits exist only for Keystone and only from January 2023, so contracting-mix analysis has a shorter history than flow analysis. The May 2024 revision of Trans Mountain product categorizations means long-run studies should use the archived file set for consistency. And apportionment detail lives in a separate companion resource with its own dictionary, folded into samples on request.

Can a sample be scoped to specific pipelines and date ranges?

Yes. Name the systems, key points, trade types and period range you care about and the sample arrives cut to that scope with the full field dictionary attached. Teams usually start with one oil pipeline and one gas system to validate both reporting rhythms before wiring up the full set.

Notes on this record

  • Above the catalog mean Datadory scores this record 9/10 on its 0-10 rubric, against an average of 7.81 across 1,744 cataloged datasets.

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