For Investors & Quant Researchers · Oil Gas Storage Transportation
Oil & Gas Storage & Transportation Data for Investors & Quant Researchers
Oil & gas storage & transportation data for investors and quants is a nine-source physical-flow panel: Canada Energy Regulator throughput files, Eurostat gas stocks and GIE AGSI+ lead on relevance, then LNG, stranded-asset and inventory series.
best alternative data sources for investing · satellite imagery data for hedge funds · point-in-time fundamentals database · how do quants use oil gas storage transportation data
API, files, or your warehouse. Daily, weekly, or hourly.
Which oil & gas storage & transportation datasets should investors and quants pull first?
Six of nine score 8-plus versus 62.8% (1,096 of 1,744) catalog-wide. Five records sit under the /datasets/oil-gas-refining-marketing/ taxonomy because the same midstream reporting was filed there first.
How do quants use oil & gas storage & transportation data?
Three factor families dominate, and none starts from company financials. Basis and egress come first: the CER files pair measured throughput with available capacity and a reason-for-variance note per key point, monthly for oil systems and daily for gas, with a separate apportionment dictionary - the ingredients for export-constraint signals on Canadian egress names. Note the splices: Keystone reports committed and uncommitted volumes only from January 2023.
European macro timing runs second. Eurostat's six indicators split opening and closing stock into cushion gas, national territory and gas held abroad, so working-gas fills separate cleanly from base gas; AGSI+ then adds twice-daily prints (19:30 and 23:00 CET) at country, operator and site level, and ALSI converts LNG send-out into utilisation as Send-Out divided by DTRS times 100. US inventory work comes third: PUDL's frozen snapshots carry weekly lower-48, PADD and state stocks with md5-hashed manifests, so a feature built in 2026 reproduces byte-for-byte in 2028 - the property live EIA pulls cannot promise.
What sample periods and survivorship caveats should you price in?
Histories are long but rarely continuous. CER coverage starts 1 January 2006 and its metadata verified through 31 March 2026; the archived Trans Mountain file set preserves pre-May 2024 product categorizations, so a category-based model breaks across that revision unless you splice deliberately. Eurostat runs 223 monthly periods from January 2008 to July 2026 (last updated 18 August 2026). AGSI+ reaches 1 January 2011 but warns pre-REMIT data before 7 April 2016 may be incomplete, and Ukraine enters only from 29 April 2014; ALSI depth varies by terminal, with Zeebrugge listed from 1 January 2011.
Static and slow compilers carry the survivorship risk. GOIT targets transmission lines longer than 100 km - shorter systems enter mainly when newly proposed or under construction - and its current release dates to March 2025. OGIM v2.7 was compiled February 2025 from 188 sources whose individual vintages vary by country, with VIIRS flaring limited to calendar year 2023. TGS publishes no release schedule and record MOD_DATE stamps observed December 2022, and TankTerminals.com states no archive depth at all. Treat all four as level screens, not time series.
Does this slice include satellite imagery or a point-in-time fundamentals database?
Neither, honestly. No optical or radar vendor feed qualifies here, so footfall-style traffic proxies for terminal operators do not exist in this pairing; 781 of the 1,744 datasets Datadory catalogs (44.8%) are public datasets, and government reporting dominates what this slice can observe. And nothing documents revisions or vintages, which disqualifies every record from point-in-time construction except PUDL's frozen Zenodo versions.
Straight answers
What are the best alternative data sources for investing in oil & gas storage & transportation?
Lead with the Canada Energy Regulator's throughput and capacity CSVs for export-pipeline utilization, Eurostat nrg_stk_gasm for EU underground gas stocks back to January 2008, and GIE AGSI+ for daily filling levels across roughly 121 European storage sites. Three of the nine ranked datasets reach relevance 3 and mean quality is 7.78 out of 10.
How do quants use oil & gas storage & transportation data?
As physical-flow factors: CER throughput against available capacity prices WCS basis and egress risk, Eurostat and AGSI fills drive TTF seasonality, PUDL's archived petroleum files supply weekly PADD-level stocks observed from April 2004, and GOIT status flags screen stranded-asset exposure. OGIM maps 3,661 petroleum terminals onto operator footprints for methane overlays.
Where can hedge funds get satellite imagery data on storage infrastructure?
Not directly in this slice - no optical or radar feed qualifies on its own. The closest material sits inside OGIM, whose 6.7 million compiled features across 152 countries include VIIRS flaring detections covering calendar year 2023. Otherwise the observables stay administrative: TGS's 731,388 US pipeline segments and regulator-filed throughput series.
Which source comes closest to a point-in-time fundamentals database?
None publishes vintages, so nothing here supports true point-in-time backtesting. PUDL behaves closest: Zenodo deposits are frozen versions under concept DOI 10.5281/zenodo.7067366, letting a backtest pin v54.0.0 from January 2026 instead of restated history. Annual compilers GOIT and OGIM fail the test outright, and TankTerminals.com publishes no archive depth.
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