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Run your analysis now →Filing growth compares 2021 (6 records) with 2024 (3) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 39 records in scope (CR5), not by the ranked leaders only.
Fiber-optic CO2 monitoring sits at the intersection of downhole geophysical sensing and carbon capture, utilisation and storage measurement, monitoring and verification. This landscape covers 39 published records filed or published between 2015 and mid-2026, drawn from a search combining fiber-optic and CO2/CCUS terminology across titles, abstracts and claims. The scope spans point-chemical CO2 sensors, distributed acoustic sensing tied to wellbore geophysics, and the hardware that carries fiber optics into drilling and storage-site infrastructure.
The assignee base is small and top-heavy: 22 companies make up the entire ranking this dataset returns, with the leading five holding well over half of all records. Filing activity peaked in 2021, and because publication trails filing by around 18 months, the most recent years in the trend understate real activity rather than showing a genuine slowdown.
The 39 records in scope span 2015 through mid-2026, with filing concentrated in a handful of assignees and a technology mix split between sensing physics and wellbore hardware.
Filings rose to a peak of 6 in 2021 and fell to 3 by 2024, a -50% change over that span; 2025 and 2026 figures are still incomplete because publication typically lags filing by around 18 months, so the most recent years should not be read as a slowdown.
Material analysis and testing (G01N) and diagnosis/surgery-adjacent sensing (A61B) are the two largest classes, each covering roughly three in ten records; vibration/sound measurement and geophysics/gravity surveying each cover about a fifth, and earth/rock drilling equipment covers roughly one in six. Records often carry more than one class, so these shares add up to more than 100% of the 39 records.
Shares are the percentage of the 39 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about ccus measurement, monitoring & verification: fiber-optic co2 monitoring patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaSystems and methods may be used to reconstruct particle velocity wavefields from coupling-calibrated fiber-optic data that subsequently enables physically valid construction of the particle velocity wavefields for a hybrid sensor array including both fiber-optic and particle motion sensors. These systems and methods may be used in a variety of borehole geophysical applications, such as structure and reservoir imaging, impedance inversion, attenuation tomography, micro-seismic fracture imaging, focal mechanism analysis, and so on. The systems and methods may also be used in other applications such as geothermal and CO2 storage monitoring.Filed by Schlumberger Technology Corporation, published 2022-09-29.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20140057512A1 | Non ionic groups of amphoteric polysaccharide linear or branched alkyl or acid and base distillation reservoi… | 39 |
| 2 | US20150077248A1 | Smoke Detectors with Wireless Local Area Network Capabilities | 33 |
| 3 | WO1997012227A1 | Optical carbon dioxide sensor, and associated methods of manufacture and use | 29 |
| 4 | CA2676737A1 | Many new evolutions of fusion energy and related items to make it and other by products and/or processes | 14 |
| 5 | EP1245947A1 | Carbon dioxide sensor | 11 |
| 6 | EP0858594A1 | Optical carbon dioxide sensor, and associated methods of manufacture and use | 11 |
| 7 | US20220307895A1 | True particle velocity wavefield processing in fiber optics - particle motion sensor hybrid array | 9 |
| 8 | US20220381139A1 | Event characterization using hybrid das/DTS measurements | 9 |
| 9 | US20140070444A1 | Distillation preform slurry non ionic and electrolyte liquid and gaseous mechanically refined and nanoparticl… | 9 |
| 10 | WO2022203945A1 | True particle velocity wavefield processing in fiber optics – particle motion sensor hybrid array | 4 |
Citation counts reflect influence within the searched corpus and skew toward older filings; they are not a measure of current technical importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
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Browse MCP servers →Three signals stand out once the assignee ranking, filing trend and IPC composition are laid side by side: concentration at the top, a peak that has already passed its most reliable data point, and a technology mix weighted toward sensing chemistry over hardware.
Twenty-two companies make up the entire ranked list this dataset returns, but more than half of all records trace back to just five of them, with the single leader alone holding 7 records. That leaves a long tail of single-filing entrants working around an already-claimed core.
2021 was the busiest year on record for this topic. The drop to 2024 is real within the data given, but 2025 and 2026 remain incomplete because publication lags filing by roughly 18 months — so this is not evidence the field has stopped moving.
Material analysis and testing (G01N) and A61B-classified sensing each sit near three in ten records, ahead of vibration/geophysics classes at roughly a fifth and drilling hardware at about one in six. Records can carry several classes, so the field is genuinely cross-disciplinary rather than siloed.
The United States receives the largest single share of filings at 16, with Canada, Europe and Australia each drawing a smaller but meaningful slice — consistent with a field rooted in North American oilfield-services and geophysical-instrument activity.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to ccus measurement, monitoring & verification: fiber-optic co2 monitoring patent landscape, with the prior art for and against each one.
The figures above answer who is filing and where the technology mix sits today. The questions that follow — freedom to operate against specific claims, or which under-claimed branch to file into — need claim-level detail this summary does not carry.
The Schlumberger family's hybrid fiber-optic/particle-motion claims are the most likely blocking art for anyone building a combined downhole sensor array for CO2 storage monitoring. A claim chart is the next step before committing to that architecture.
Run a claim chart in EurekaB29C-classed fiber packaging and G01D/G01M calibration methods carry far fewer filings than the core sensing-physics classes. Confirming that gap at the claim level, not just the IPC level, avoids filing into art that has not surfaced in this summary.
Explore white space in EurekaBecause publication lags filing by roughly 18 months, the real trajectory of filing since 2024 is still emerging. Setting up an alert against this search string catches new entrants and continuation filings as they surface.
Set up monitoring in EurekaWithin this dataset of 39 records, filing is concentrated: the ranked leaders (22 companies) account for the entire assignee ranking the underlying data endpoint returns, and the top 5 combined hold 22 records, or 56.4% of all 39 records in scope. The single leading assignee holds 7 records. This is not a fragmented field with dozens of equally-sized players; it is a small group of repeat filers, mostly oilfield-services and geophysical-instrument companies, plus a long tail of single-filing entrants.
Filings peaked at 6 in 2021 and fell to 3 by 2024, a -50% change over that three-year span. That looks like a decline, but 2025 and later years in this dataset are still incomplete because patent publication typically lags the actual filing date by roughly 18 months — so those most recent years understate real activity and should not be read as evidence the field is cooling. The 2021-to-2024 comparison is the most reliable trend signal currently available.
Material analysis and testing (IPC class G01N) is the largest single class, covering 30.8% of the 39 records, closely followed by A61B-classified sensing at 28.2%. Vibration/sound measurement (G01H) and geophysics/gravity surveying (G01V) each cover 20.5%, and earth/rock drilling equipment (E21B) covers 15.4%. Because individual records can carry multiple IPC classes, these percentages overlap rather than sum to 100%, which reflects how often fiber-optic monitoring claims combine sensing physics with wellbore or drilling hardware.
US20220307895A1, filed by Schlumberger Technology Corporation and published 2022-09-29, describes systems and methods for reconstructing particle velocity wavefields from coupling-calibrated fiber-optic data in a hybrid sensor array that combines fiber-optic and particle-motion sensors. It explicitly names geothermal and CO2 storage monitoring as target applications, alongside structure/reservoir imaging and micro-seismic fracture imaging. It matters because it sits at the intersection of two established sensing lineages, making it a reference point for anyone evaluating freedom to operate in hybrid downhole monitoring architectures for CCUS sites.
The two thinnest technology classes in this dataset are B29C (shaping of plastics, covering 7.7% of the 39 records) and G01D or G01M (each at 10.3%), compared with the 20 to 31% coverage of the core sensing-physics classes. That gap suggests less competition around fiber cable manufacturing, packaging and calibration/integrity-testing methods specific to CO2 storage monitoring, as opposed to the crowded core sensing-physics and downhole-hardware claims where the ranked leaders already hold a majority share.
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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.