Evidence map›Paper›PMID 42817558›Full record

ArticleSensors (Basel, Switzerland)2026

Performance Assessment of the Earthview BluBird Continuous Emission Monitoring System for Oil and Gas Facility Emissions Monitoring.

James Maslanik, Kevin Yoon, Frederick Givhan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

James MaslanikEarthview Corporation, 908 Dragon St., Dallas, TX 75207, USA.ORCID 0000-0002-2628-182X
Kevin YoonEarthview Corporation, 908 Dragon St., Dallas, TX 75207, USA.
Frederick GivhanEarthview Corporation, 908 Dragon St., Dallas, TX 75207, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Earthview BluBird continuous methane emissions monitoring system participated in single-blind controlled-release testing in 2022 and 2024, with the goal of evaluating the leak detection and quantification capabilities of these metal-oxide point sensors under realistic field conditions. The METEC ADED test program consisted of natural-gas releases ("experiments") at a simulated gas production facility, with each experiment comprising up to five simultaneous releases from different locations. Here, we analyze the results according to the detection of at least one release per experiment ("per experiment" detection) and the detection of all releases. Using METEC's standard grading criteria, 91% of ADED 2024 experiments were detected; a substantial improvement compared to the 2022 results. Undetected releases during multi-release experiments, rather than undetected experiments, account for the large majority of missed releases. Detection correlated more strongly with release duration than with release rate. Detection rates and probability of detection improve when alternative classification criteria are applied. Sources were correctly identified at the equipment group level for 75% of single-release experiments. Actual and estimated methane-emission mass summed over daily to monthly intervals correlate significantly, with BluBird underestimating mass by 36% for single-release experiments. This underestimate is dominated by emission rate error rather than release detection capability.

Indexed as

continuous monitoring systemcontrolled-release testingdetection probabilityemission quantificationMETEC ADEDmethane emissionsoil and gaspoint sensor network

Identifiers

PMID42817558
PMCPMC13611323

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.