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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/methane-leak-detection-simulation-and-modeling-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Oil, Gas & Subsurface · Patent LandscapeMethane Leak Detection and Modeling Patents: Who Holds the Claims
- 31 families total — a narrow, concentrated field where the most-cited single record (57 citations) carries outsized weight on freedom-to-operate analysis.
- Filings peaked in 2020 at 10 and eased to 7 by 2022 — the plateau suggests core claim positions are largely settled rather than still forming.
- G01W meteorology (7) and G01D measurement (5) trail G01N (28) — wind and atmospheric-input modeling for leak-rate estimation remains thinly claimed.
31
Published Records
-100%
3-Yr Growth (lag-adjusted)
US
Leading Jurisdiction
2020
Peak Filing Year
Published byPatsnap Research··8 min readSourced from Patsnap Eureka
Field Overview
What this patent landscape covers
This landscape covers patent families that combine methane or gas leak detection claims with dispersion, plume simulation, or leak-rate estimation modeling claims — the intersection of physical sensing and the computational layer that turns raw readings into an estimated leak location and rate. It excludes detection-only hardware filings that make no modeling claim, and excludes pure atmospheric-science modeling that makes no detection-system claim.
The corpus is small — 31 published families across roughly a decade — which means the field is still narrow enough that a handful of filings, particularly the most-cited ones, set the effective boundaries of open claim space. Filing activity by receiving office is led by the United States, with meaningful volume also routed through EPO, WIPO/PCT, Canada, and Australia filings.
Filing distribution by receiving office and IPC subclass
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Methane Leak Detection Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Filing Data
Filing trends and technology composition
Thirty-one published families make this a narrow but concentrated field. The filing curve and IPC spread below show where claim activity has actually landed, not where the underlying science is broadest.
A plateau, not a climb
Filings rose to a peak of 10 in 2020, eased to 7 by the 2022 midpoint, and show no clear renewed acceleration through the most recent complete years. Because publication lags filing by roughly 18 months, the last one to two years in any such chart will always understate true activity — but the shape here points to a technology that reached a filing plateau rather than one still building.
Measurement dominates, software and meteorology trail
G01N (material analysis and testing) appears in 28 of 31 records, confirming that most claims are anchored in the physical detection method. G06F and G06Q data-processing subclasses appear in 13 and 11 records respectively, showing a secondary software layer around leak-rate estimation and emissions accounting. G01W meteorology and G01D general measurement trail well behind at 7 and 5, marking the thinnest claimed ground in the dataset.
Shares are the percentage of the 31 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Methane Leak Detection Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
Go deeper on Methane Leak Detection Simulation and Modeling with Eureka
This page is one run against one query. Ask Eureka your own question about methane leak detection simulation and modeling and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative Filing
Key patents shaping the claim landscape
Representative Record
Method and apparatus for methane management
CAMERON INTERNATIONAL CORPORATION
Systems and methods presented herein generally relate to greenhouse gas emission management and, more particularly, to a greenhouse gas emission management workflow to perform greenhouse gas detection sensor placement or greenhouse gas leak detection. The system and method enable improved gas sensor arrangements within an oil and gas worksite, and enable the prediction of a location and a leak rate of a gas leak within an oil and gas production facility based on measurements collected by gas leak sensors disposed within the facility and prevailing wind information.Filed by Cameron International Corporation, published 2024-12-19; part of the same family lineage as WO2023108041A1.
Most-cited records in this dataset
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20220065834A1 | Greenhouse gas emission monitoring systems and methods | 57 |
| 2 | WO2023108041A1 | Method and apparatus for methane management | 13 |
| 3 | US20200240906A1 | Systems and methods for leak monitoring via measurement of optical absorption using tailored reflector instal… | 9 |
| 4 | WO2022051572A1 | Greenhouse gas emission monitoring systems and methods | 8 |
| 5 | WO2020154619A2 | Systems and methods for leak monitoring via measurement of optical absorption using tailored reflector instal… | 8 |
| 6 | US20240418693A1 | Method and apparatus for methane management | 5 |
| 7 | US20220099568A1 | Systems and methods for leak monitoring via measurement of optical absorption using tailored reflector instal… | 5 |
| 8 | US10976245B2 | Systems and methods for leak monitoring via measurement of optical absorption using tailored reflector instal… | 4 |
| 9 | US20210223169A1 | Systems and methods for leak monitoring via measurement of optical absorption using tailored reflector instal… | 3 |
| 10 | US11927581B2 | Greenhouse gas emission monitoring systems and methods | 2 |
Ranked by citation count within the searched corpus; older filings are structurally favoured.
Each row carries its publication number; clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Methane Leak Detection Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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What the citation and filing data actually show
Citation counts and filing dates together separate the foundational filings from the more recent, less-tested ones. Read together with the IPC spread, they show where claim density is real and where it is thin.
Citation concentration
57 citations
top record
One filing carries outsized influence
US20220065834A1, on greenhouse gas emission monitoring systems, sits far above the rest of the corpus on citation count. That level of citation concentration in a 31-family dataset means this single filing is a required reference point for any freedom-to-operate review in this space.
Citations favour older, more-referenced filings, not necessarily current best practice.
Filing trajectory
10 → 7
2020 peak to 2022 midpoint
Activity has plateaued since 2020
The filing curve peaked in 2020 and had already eased by the 2022 midpoint, without a clear renewed climb. Combined with the roughly 18-month publication lag, this points to a technology whose core claim space has stabilised rather than one still in active land-grab mode.
Recent years are always understated at the point of measurement.
Technology mix
28 of 31
records touch G01N
Physical measurement dominates the claim base
Nearly every family in this dataset touches G01N material analysis and testing, with G06F and G06Q software subclasses appearing as a secondary layer. G01W meteorology and G01D general measurement trail well behind, marking the thinnest claimed ground.
Thin IPC coverage is a starting signal, not a guarantee of open claim space.
Filing concentration
3 pairs
co-assignee relationships
Joint filing is rare, not the norm
Only three co-assignee pairs appear across the whole dataset, and the strongest of them shares four families. Most of the remaining families were filed by single entities, which means consolidated, multi-party claim strategies have not become common practice here.
Co-filing patterns can signal either joint R&D or acquisition-driven family consolidation.
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Looking for what nobody has claimed yet?
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to methane leak detection simulation and modeling, with the prior art for and against each one.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Methane Leak Detection Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Assignee Landscape
Who holds the claims
Filing in this space is concentrated among a small number of related assignees rather than spread across a broad competitive field. Co-assignee clustering and recent-year momentum both point to a claim base that formed early and has since stabilised.
Lead cluster
4 families
strongest co-assignee pair
Cameron-affiliated entities anchor the workflow claims
The strongest co-assignee relationship in the dataset links two Cameron-affiliated entities across four shared families, with additional joint filings alongside a Schlumberger Canada entity. This cluster holds the workflow-level sensor-placement and leak-rate prediction claims that other filers most often need to design around.
Joint filing at this scale is the exception in this dataset, not the norm.
Momentum check
0 in latest year
across leading assignees
No leading assignee shows recent-year filings
None of the assignees with the strongest historical filing or co-filing positions show activity in the most recent tracked year. Given the roughly 18-month publication lag, this could reflect pending applications not yet published, or it could mean the core claim positions are considered settled for now.
Treat the most recent year as incomplete rather than as a sign of exit.
Independent filers
28 of 31
families outside the top co-assignee cluster
Most families are filed independently
Only three co-assignee pairs exist in total, meaning the large majority of the 31 families were filed by single entities without a joint-filing partner. This points to a fragmented ownership base outside the one identifiable cluster, rather than a broad set of competing consolidated portfolios.
Fragmentation outside the lead cluster leaves room for new single-assignee entrants.
Recent-year filing momentum by assignee
| Assignee | Recent year | YoY |
|---|---|---|
| Multi-Sensor Scientific, Inc. | 0 | — |
| Cameron Technologies Limited | 0 | — |
| Cameron International Corporation | 0 | — |
| Schlumberger Canada Limited | 0 | — |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Methane Leak Detection Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Next Steps
Where to take this analysis next
The dataset points to specific follow-up work rather than a single conclusion. These are the natural next questions for an R&D or IP team acting on this landscape.
Check the meteorological-modeling gap against granted claim language
Thin IPC coverage in G01W and G01D is a starting signal, not proof of open space. A targeted claim-language search around wind-field and boundary-layer inputs to leak-rate estimation would confirm whether a first filing there is genuinely clear.
Search this branch in EurekaTrack the Cameron-affiliated cluster for continuations
With four shared families in the strongest co-assignee pair and a recent representative filing published in December 2024, this cluster is actively building layered protection around the same workflow. Ongoing monitoring will catch continuations before they publish widely.
Set up assignee monitoring in EurekaReassess after the next publication cycle
Because publication lags filing by roughly 18 months, the most recent one to two years in this dataset understate real activity. Rerunning this landscape in the next cycle will clarify whether the post-2020 plateau is a genuine slowdown or a reporting artefact.
Revisit this landscape in EurekaSource: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Methane Leak Detection Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Questions practitioners ask about this field
The tracked corpus contains 31 published patent families filed between 2015 and mid-2026. This is a narrow field compared with broader gas-sensing categories, which makes individual filings, especially the most-cited ones, disproportionately influential on freedom-to-operate analysis. Because the corpus is small, a single new blocking filing can materially shift where open claim space sits.
Filing activity peaked in 2020 at 10 records in a single year and had eased to 7 by 2022, with no clear renewed climb since. That pattern reads as a plateau rather than sustained growth. Readers should treat the most recent one to two years on any chart with caution, since publication typically lags the actual filing date by around 18 months, so recent activity is always undercounted at the point of measurement.
The most-cited record in this dataset is US20220065834A1, on greenhouse gas emission monitoring systems and methods, with 57 citations, well ahead of the next-ranked filings. A related optical-absorption approach using tailored reflector installments, covered by US20200240906A1 and WO2020154619A2, also shows meaningful citation counts. High citation counts mark influence within this searched corpus and tend to favour older filings, so they should be read as a signal of technical influence rather than of what is currently most active.
IPC subclass counts show G01W (meteorology) at 7 records and G01D (general measurement and recording) at 5, both well behind the 28 records in G01N. This suggests that atmospheric-condition inputs — wind-field, boundary-layer or terrain-aware corrections feeding into leak-rate estimation — are thinly claimed relative to the core detection sensor technology. That gap is a reasonable place to look for open claim space, though thin filing density does not by itself guarantee a claim will grant; a careful search of the specific proposed claim language is still necessary.
The dataset shows a cluster of related assignees, including a Cameron-affiliated pair that co-files together across several families, forming the strongest joint filing relationship identified. None of the leading assignees identified show filings in the most recent tracked year, which may reflect either a settled claim position or a temporary lull ahead of undisclosed applications still working through the publication lag. Co-assignee pairing in this corpus is limited to three pairs total, indicating most of the remaining families were filed independently rather than jointly.
Answers are grounded in the same dataset. Derived from a Patsnap search on Methane Leak Detection Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.