Oil & Gas Exploration & Production Data: From Country Output Series to the Wellbore Record · Head-to-head
Global Methane Emitters Tracker (GMET) vs JODI-Gas World Database
Which oil & gas exploration & production data: from country output series to the wellbore record data fits your job: Global Methane Emitters Tracker, or JODI-Gas World Database. API, files, or your warehouse. Daily, weekly, or hourly.
Global Methane Emitters Tracker (GMET)
JODI-Gas World Database
Where the fields line up
No shared field names. These two answer different questions.
| Field | Global Methane Emitters Tracker | JODI-Gas World Database |
|---|---|---|
gem_goget_id | documented | not in this set |
unit_name | documented | not in this set |
status | documented | not in this set |
operator | documented | not in this set |
climate_trace_field_emissions_tonnes_per_year | documented | not in this set |
gem_methane_plume_id | documented | not in this set |
satellite_data_provider | documented | not in this set |
instrument | documented | not in this set |
observation_date | documented | not in this set |
emissions_kg_hr | documented | not in this set |
type_of_infrastructure | documented | not in this set |
country_area | documented | not in this set |
Coverage, side by side
| Global Methane Emitters Tracker | JODI-Gas World Database | |
|---|---|---|
| Geographic | 166 countries; 18,023 emitting assets including 5,000+ coal mines, extraction areas, gas pipelines and LNG terminals | 88 participating economies, about 90 percent of global gas supply and demand; 92 area codes in the verified extract |
| Temporal | December 2025 release (Version 3); plume observations from August 2022 to March 2024 imagery; reserve and extraction sheets on 2024-2025 vintages | January 2009 to the most recent reporting month |
What each contains
They tie on 2 attributes. Pick by fit, not by loyalty.
| Global Methane Emitters Tracker | JODI-Gas World Database | |
|---|---|---|
| Publisher | Global Energy Monitor | Joint Organisations Data Initiative (APEC, Eurostat, GECF, IEA, OLADE, OPEC, UNSD) |
| Subject lens | Methane emissions attributed to fossil fuel facilities, with satellite-detected plumes linked to named assets | Harmonized monthly natural gas supply balances: production, pipeline and LNG trade, stocks, statistical difference, demand |
| Geographic coverage | 166 countries; 18,023 emitting assets including 5,000+ coal mines, extraction areas, gas pipelines and LNG terminals | 88 participating economies, about 90 percent of global gas supply and demand; 92 area codes in the verified extract |
| Temporal coverage | December 2025 release (Version 3); plume observations from August 2022 to March 2024 imagery; reserve and extraction sheets on 2024-2025 vintages | January 2009 to the most recent reporting month |
| Detail level | Asset-level (mine, extraction area, pipeline, terminal) and individual plume observation, plus country/region summary tables | Per economy per month per flow, in up to three units |
| Formats | Excel workbook with eight sheets, plus ten country summary tables | Zipped flat CSV in SDMX-style long format; legacy Beyond 20/20 packages |
| Scale | ~7,400 extraction-area rows, ~3,475 plume rows, ~2,300 reserve rows, 18,023 assets total | ~288,000 observed values per full extract (~12 MB unwrapped) |
| Documented fields | 14 | 7 |
| Delivery | Daily, weekly, or hourly - your call | Daily, weekly, or hourly - your call |
| Best for | Facility-level methane accountability: operators, plume attribution, pipeline and terminal exposure, reserve-side risk | Economy-level gas fundamentals: production trends, import mix, stock draws, demand modelling |
What each does better
Global Methane Emitters Tracker
Attribution down to the fence line. A satellite sees a plume; GMET says which wellpad, mine, pipeline segment or terminal it came from, who operates it, whether it is operating, in development or discovered, and how certain the attribution is. Plume rows keep the evidentiary chain intact - provider such as Carbon Mapper, instrument such as NASA-JPL EMIT or the Global Airborne Observatory, the exact observation timestamp, emissions in kg/hr with uncertainty.
Point geometry, not just country names. Every asset and plume origin carries latitude and longitude, so the catalog joins directly to GIS layers, lease boundaries or shipping lanes - 166 countries' worth of emitting infrastructure as mappable points.
Emissions where nobody else estimates them. Gas pipelines and LNG terminals get asset-level methane figures alongside mines and extraction areas, plus reserve-side tables translating 2P reserves into potential future emissions - forward-looking exposure, not just history.
JODI-Gas World Database
The whole physical balance, harmonized. Fourteen flows per economy per month - production, pipeline versus LNG imports and exports, stock change, statistical difference, demand, opening and closing stocks - submitted by national administrations to one common template. Reconciling a country's gas position takes one filter, not fourteen documents.
Depth and recency together. Unbroken monthly coverage from January 2009 to the most recent reporting month: roughly seventeen years, 88 economies, about 288,000 observed values per full extract. Nothing else in the industry slice pairs that reach with that currency.
Three units per figure. Volumes in cubic metres, energy in terajoules, mass in thousand tonnes - so cross-economy comparisons survive different national reporting conventions without conversion guesswork, and each figure arrives with the submitter's own assessment grade attached.
Where they're equivalent
More than their subject matter suggests. Both field dictionaries were verified during research, a bar not every record clears. Both carry an explicit unit on every figure - kg/hr or tonnes against cubic metres, terajoules and thousand tonnes. Both collapse gracefully to country level: GMET ships ten pre-built summary tables of emissions by country and region, while country-by-economy is JODI's native grain. And both score 8/10 on the rubric, published by institutions whose methodology pages are part of the product rather than an afterthought.
The verdict
Verdict: sample both, pick by fit - they are different instruments pointed at the same molecules.
Take Global Methane Emitters Tracker (GMET) if your question names emissions. Which operators run the leakiest basins, how LNG terminals and pipelines rank as methane sources, which plumes got attributed to which assets and with what certainty, forward exposure sitting in 2P reserves - anything where the unit of analysis is a facility and the metric is methane. Accept modelled estimates: figures derive from partner measurements, not continuous monitoring of every pipe.
Take JODI-Gas World Database if your question names volumes. Production trajectories, import reliance split pipeline versus LNG, stock draws in a cold quarter, demand shifts across 88 economies since 2009 - anything where the unit of analysis is an economy-month and the metric is gas itself. Accept national aggregates: no facility appears, and reporting gaps arrive flagged rather than filled.
Cut both samples to the same countries and months and let returned rows decide.
Sample both, pick by fit. See Global Methane Emitters Tracker · See JODI-Gas World Database
Or take both in one feed
Yes - they stack because they occupy different layers of the same system. A defensible workflow: let JODI-Gas fix the macro backdrop - how much each economy produced, imported, stored and demanded, month by month - then bring GMET in to attach the emissions ledger to the infrastructure behind those flows: which extraction areas, pipelines and terminals the gas actually moved through, and what they emitted.
Align on keys before joining. There is no shared identifier - GMET rows key on GEM asset and plume IDs with point coordinates, JODI rows on country-period-flow codes - so the practical join is at country and month. GMET's own summary tables already aggregate emissions by country and region, which makes the merge a group-by rather than a geospatial exercise; just mind the units before summing, since methane arrives in kg/hr and tonnes while gas arrives in cubic metres, terajoules and thousand tonnes. Browse the rest of the shelf at the oil and gas exploration and production data hub.
Datadory ships either record alone or both merged onto one calendar, delivered daily, weekly, or hourly - your call. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Is Global Methane Emitters Tracker (GMET) better than JODI-Gas World Database?
Better at different jobs. GMET wins whenever the question names emissions: 18,023 attributed assets across 166 countries, 3,474 satellite plumes tied to named operators and infrastructure, roughly 93 million tonnes of estimated methane. JODI-Gas wins whenever the question names volumes: about 288,000 observations of production, trade, stocks and demand for 88 economies back to January 2009. Rubric scores: 8/10 against 8/10.
Do the two datasets cover the same ground?
Only at the country-and-time seam. Both stamp every figure with a place and a moment, and both carry explicit units and confidence markers. Below that seam they diverge: GMET decomposes into facilities, plumes and coordinates, JODI-Gas into national flows such as indigenous production, LNG exports and closing stocks. One names infrastructure; the other never does.
Which dataset reaches further back?
JODI-Gas, decisively: monthly national balances from January 2009, about seventeen years deep. GMET anchors on its December 2025 release, with plume observations spanning roughly August 2022 to March 2024 imagery and reserve and extraction sheets on 2024-2025 vintages. For gas-balance history, only one of the two exists.
Which should a climate-risk analyst sample first?
Start with GMET - asset-level methane estimates with operator names, point coordinates and attribution certainty read like a screening universe waiting to happen, and the pipeline and LNG terminal tables cover ground few other sources attempt. Add JODI-Gas when the model needs the physical balance underneath: which economies produce, import and store the gas whose emissions you are pricing. Sample both and let returned rows settle it.
Can Datadory deliver both datasets together?
Yes - alone or merged onto one calendar, delivered daily, weekly, or hourly, your call. Each arrives normalized to its documented field dictionary (fourteen fields on the GMET side across six sheets, seven on JODI-Gas's long-format grid) with sample rows attached for validation, and the pair joins at country and month once units are agreed. Or take both in one feed.