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Emissions Heatmap
Pollutant
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Well Status (COGCC)
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AIRS Facilities
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Wells
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Min Magnitude
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Well Density Heatmap
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Midstream Sites
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CO Sites
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CH₄ Intensity
LowHigh
metric tons / year
Wells
Gas
Oil
SWD / Injection
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Cluster
Earthquakes
⊕M4+
⊕M3–4
⊕M2–3
Size = magnitude
UIC Wells
UIC Well
Orphan Wells
Awaiting Plugging
Being Plugged (State Funds)
Arbuckle Injectors
Arbuckle Disposal Well
HF Laterals
SHL → BHL line
PST Releases
PST Release (open petroleum storage tank leak)
Active Permits
▲Active Permit
Midstream Sites
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Natural Gasoline
Compressor / Drip
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CO Reporting Quality
Scans Colorado facility reports and flags sites whose methane numbers look out of step with similar operations nearby
CH₄ Distribution by Equipment Group
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▮ Count of sites in range ·
▮ Bin contains flagged site ·
● Top flagged sites (up to 5 shown) ·
| Group median (p50)
Statewide Emissions Trend(raw totals vs. outlier-adjusted)ⓘ
Top Flagged Facilitiesclick a row to open site
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Top Operators by Total Emissions
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How Concentrated Are Emissions?
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Highest-Emitting Sites
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Site Emission Distribution
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Emission Intensity & Efficiency
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Gas price:$/MCFfetching live price...
Reduction Potential — Targeting the Biggest Emitters
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Emission Intensity by Site Type
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How Much Would Fixing the Worst Sites Save?
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Uses the gas price entered above. Load data to activate.
Fix the top10sites
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Emissions by Equipment Type
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Which equipment categories leak the most methane, and across how many sites
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Methane Trend Over Time
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Note: MT/MMCF and MT/BOE are only shown for years where gas production was widely reported in ONGAEIR submissions. Early years (2021-2022) had sparse production data, so intensity ratios for those years are not shown.
Methane by Year Sites First Reported to CDPHE
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Average methane per site (MT), grouped by the start year the operator declared in their filing
Note: most sites do not include a declared start year in their CDPHE filing. Those appear in the "Unknown" bar. The 2010s and 2020s bars reflect only the small fraction of sites that did report one.
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Violation Notices (NOAVs)
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Upcoming Permit Expirations
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Sites in Ozone Non-Attainment Areas
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Enforcement Gaps
Sites with anomaly flags in their data but no violation notice or spill on record
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Groundwater Contamination With No Enforcement on Record
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Sites where water samples exceed EPA drinking water limits but no violation notice is on record
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What is in the gas?
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Average species composition across sampled wells, shown as both volume share (mole %) and weight share (mass %)
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Natural Gas Liquids (NGL) richness and heating value by county
NGL = ethane, propane, butane, and pentane that can be separated from raw gas and sold as separate liquid products. Counties with higher NGL content produce more valuable gas, which makes venting more costly and capture more worthwhile. Coverage column shows how many sites in each county were actually sampled -- low coverage means the average may not be representative.
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Heating value spread across wells (BTU per cubic foot)
Gray bars = very dry gas below 1,050 BTU (mostly methane, little NGL value). Cyan bars = moderate 1,050-1,200 BTU. Green bars = NGL-rich gas above 1,200 BTU. The two dashed vertical lines mark those thresholds. Pipeline tariffs and processing fees depend heavily on BTU content.
Where does the methane come from?
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Each dot is one well site -- the median isotope reading across all gas samples taken there. Dots in the green zone produced microbial (biogenic) gas from shallow formations. Dots in the orange zone produced gas from deep buried organic matter (thermogenic). Points in between often reflect gas that migrated between formations, or two sources mixing underground. All sample years included.
Horizontal axis: carbon isotope ratio of methane (d13C-CH4, delta 13C, per mille). Vertical axis: hydrogen isotope ratio of methane (dD-CH4, delta D, per mille). Biogenic zone: d13C below -55 AND dD below -175. Thermogenic zone: d13C above -50. Source: COGCC gas sampling database.
Gas composition over time
Median CH4 mole%, C2+ richness (mole%), and average BTU by sample year. As reservoirs age, gas often gets drier -- CH4 rises and C2+ falls. All years with at least 20 gas samples are shown. BTU uses the right-hand axis (pink).
Hydrogen sulfide (H2S) detected by county
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Counties ranked by highest H2S concentration ever detected in any sample. Red = above 1,000 ppm (requires gas sweetening, elevated equipment corrosion risk). Data coverage is partial -- only counties with at least one H2S measurement are listed.
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Texas Midstream Infrastructure
Gas plants, pipelines, and greenhouse gas emissions reported to EPA
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By Facility Type
Gas Intake by District (MCF)
Top 10 by Gas Throughput
Reporting year:
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Annual trend 2016-2023 (million MT CO2e)
Top 10 Emitters
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Miles by System Type
Top 10 Operators by Mileage
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Compliance Status Breakdown
Violations by County (Top 15)
Top 10 Facilities by Formal Enforcement Actions
Source: EPA ECHO (ICIS-Air). Covers TX O&G/midstream facilities with CAA air program records. Data as of latest ECHO Exporter export.
Sources: Texas RRC Form R-3 (plants), FERC/NPMS pipeline data, EPA GHGRP Subpart W (emissions), EPA ECHO (compliance). Plant data: latest reporting period. GHGRP emissions: 2016-2023. District filter applies to Gas Plants tab only.
Colorado Oil & Gas Basins
County boundaries shown exactly. Basins are defined by which counties belong to each.
Archuleta, Conejos, La Plata, Mineral, Montezuma, Rio Grande, San Juan
▮ Arkansas River Basin
Bent, Crowley, Fremont, Kiowa, Otero, Prowers
▮ Raton Basin
Las Animas
How CO Reporting Quality Works
Methodology reference for the anomaly detection shown in this panel
Data Source
All figures come from Colorado's Oil and Natural Gas Atmospheric Emissions Inventory Report (ONGAEIR), submitted annually to CDPHE/COGCC. Facilities report CH₄, CO, NOx, VOC, and CO₂e across 18 equipment categories. TetraSoft ingests each year's raw submissions as they become available and assigns each facility a stable site identifier, so the same physical location can be tracked across years even when its facility ID changes.
What the Analysis Does
For each facility and reporting year, CH₄ values are measured against the full population of facilities in the same equipment category, year, and site type. The score used for comparison is a modified z-score.
A standard z-score measures distance from the mean in units of standard deviation. That is sensitive to extreme values: a few very large reporters can inflate the baseline and make everyone else look normal. The modified version replaces the mean and standard deviation with the median and the median absolute deviation (MAD). The MAD is the typical gap between individual values and the group median. Because it is calculated from the middle of the distribution, a handful of outliers cannot shift the scale. A score of 0 means the record sits exactly at the group median. A score of 10 means it is ten MAD-units above it.
Not all equipment categories get the same treatment. Categories with fundamentally different operating patterns use different detection logic, described in the tier section below.
Warning vs. Critical
Warning: score above 3.5 and CH₄ above the category minimum floor. The record is statistically unusual. Worth a second look, but not far enough out to call definitively wrong.
Critical: score above 7.0 and CH₄ above the category critical floor (varies by tier, described below). At that level the record is well outside its peer group in both statistical and absolute terms. Critical records from Tier 1 categories are removed from the Adjusted CH₄ trend.
Equipment Category Tiers
Not all 18 ONGAEIR equipment categories behave the same way statistically. Treating them identically would produce misleading flags. The analysis uses three tiers.
Tier 1: Standard peer comparison
Tanks, Separators, Stationary Engines or Turbines, NR Internal Combustion Engines, Pneumatic Controllers, Amine Units, Combustion Control Devices, and all categories not listed in Tiers 2 or 3.
Each facility is scored against same-category, same-year peers in the same site type. Critical threshold: z-score above 7.0 and CH₄ above 5 times the category's 99th percentile. These are the categories where volumes are large enough that a genuine outlier represents a real data quality question. Only Tier 1 critical records are subtracted from the Adjusted trend line.
Same z-score logic as Tier 1, with one addition: critical severity also requires CH₄ above a fixed floor. These categories have very tight distributions. A heater reporting 2 MT can score a z-score above 40 simply because most heaters report under 0.1 MT. That statistical signal is real, but 2 MT is not the kind of emission that warrants an audit review. Below the floor, severity stays at Warning regardless of z-score. Tier 2 critical flags appear in the table but are not subtracted from the Adjusted trend.
Tier 3: Site-historical spike detection
Fugitives, Venting or Blowdowns, II.G Well Maintenance.
Peer comparison does not apply here. These categories exist to capture non-routine operational events: a fugitive emission, a series of planned blowdowns, maintenance activity. A midstream operator running many blowdowns in a year is supposed to report high values. Scoring them against a peer average would flag accurate reporting as anomalous.
Each site is compared against its own history instead. A year is flagged when the site's total for that category exceeds three times its own prior peak. Sites with no prior history are flagged at Warning if the value exceeds 10 MT. The goal is to catch something genuinely new at a specific site, not to penalize consistent high-volume operators.
Tier 3 flags never reduce the Adjusted trend. These are real emissions.
The Adjusted CH₄ Trend
The trend chart shows two lines. Raw is the total reported CH₄ across all CO ONGAEIR facilities for that year. Adjusted is the same total after removing critical Tier 1 records (SEVERE_OUTLIER flags in Tanks, Separators, Stationary Engines, and similar high-volume categories).
The gap between the lines shows how much of the statewide number comes from a small number of extreme records. A wide gap does not mean those records are wrong. Some are genuine large emission events. The Adjusted line answers one specific question: what does the trend look like if we set the statistical extremes aside?
Peer Groups and Site Types
Colorado ONGAEIR facilities report under four site types: Production (wellpads, the largest group at around 19,000 sites), Midstream (compressor stations, processing plants), Pre-Production (drilling sites), and UIC (injection wells). A wellpad and a compressor station handle very different operations, and treating them as one population would produce comparisons with no useful signal. Each site is scored against others in the same site type, equipment category, and year. When fewer than ten facilities exist for a given combination, the comparison expands to the full statewide population.
A note on Colorado's emissions reporting
Colorado ONGAEIR is among the most detailed oil and gas emissions reporting frameworks in the country. CDPHE/COGCC have built a dataset that other states have looked to as a model, and that reflects years of sustained effort from both the agency and the operator community.
TetraSoft's founders have worked with this dataset since its early years. That history is what makes this analysis possible, and it is also why we read the flags carefully. The patterns surfaced here are statistical. They are starting points for review, not findings. A flagged record may turn out to be a legitimate large-emission event reported exactly as required. Others may reflect reporting conventions or edge cases in submitting software. We flag them so you can look, not so you can conclude.
This tool is for informational use only. Nothing here constitutes a regulatory finding, compliance determination, or audit result. Verify any flagged record against the original ONGAEIR submission before drawing conclusions.