Why QOGI Compliance Matters: Strengthening Emissions Reporting and Regulatory Confidence


This article is part of our ongoing series looking at why adding quantitative OGI (QOGI) to a leak detection and repair (LDAR) regimine is critical to improving efficiency and safety, strengthening compliance, and optimizing methane monitoring programs.
Regulatory expectations for methane and volatile organic compound (VOC) emissions are changing — not just in scope, but in how emissions are expected to be monitored, documented, and defended over time. For oil and gas operators and industrial facilities, compliance today is no longer limited to proving that inspections occurred. Increasingly, regulators expect operators to demonstrate what was found, how it was evaluated, and how quickly action was taken.
This shift is reshaping the role of Leak Detection and Repair (LDAR) programs and driving interest in technologies that can support more transparent, defensible compliance workflows. Quantitative Optical Gas Imaging (QOGI) plays an important role in this transition by adding emissions context to visual leak detection — bridging the gap between identifying a leak and supporting regulatory reporting.

Historically, LDAR regulations were structured around periodic inspections and component-level confirmation. Programs like EPA Method 21 established well-defined procedures for detecting leaks at individual components, and compliance was largely measured by adherence to monitoring frequency and repair timelines.
However, newer regulatory frameworks emphasize:
EPA’s OOOOb and OOOOc rules are a clear example of this evolution. While recent regulatory updates have adjusted certain timelines and provisions, these rules still expand LDAR obligations across both new and existing sources, significantly increasing the volume of infrastructure subject to monitoring requirements.
As compliance scope expands, operators need tools that support consistent execution and credible documentation—especially across geographically dispersed and operationally complex assets.

QOGI builds on conventional optical gas imaging by estimating the rate of gas emissions directly from infrared video. Using physics‑based models of gas absorption, plume movement, and environmental conditions, QOGI provides an approximate emission rate alongside visual confirmation of a leak.
Importantly, QOGI does not replace regulatory methods such as Method 21 or reporting calculations required under EPA programs. Instead, it supports compliance by adding context and prioritization to LDAR findings — helping operators understand which leaks are most significant and why they matter.
QOGI has been evaluated in independent, controlled‑release studies, including blind testing using known release rates, which reinforces its credibility as a screening and characterization tool when used within proper operating conditions.
EPA Subpart OOOOb applies methane and VOC standards to facilities constructed, modified, or reconstructed after December 6, 2022, while OOOOc extends similar requirements—via state implementation plans—to existing sources for the first time.
This expansion dramatically increases the number of sites and components subject to LDAR programs. Simply performing more inspections is not enough; operators must manage findings efficiently and demonstrate that repair decisions are aligned with regulatory intent.
By providing an estimate of emission magnitude, QOGI helps inspection teams:
This is especially relevant when regulators review inspection records over time.
Under modern EPA programs, documentation quality matters nearly as much as detection itself. Requirements related to recordkeeping, video retention, and auditability are becoming more explicit, particularly under OGI‑based work practices such as Appendix K.
QOGI strengthens compliance documentation by pairing:
This combination supports a stronger compliance narrative than simple pass/fail inspection logs — especially when inspections are reviewed months or years later.
EPA’s Subpart W under the Greenhouse Gas Reporting Program (GHGRP) governs how large oil and gas facilities quantify and report methane emissions annually. Recent revisions emphasize:
While Subpart W does not prescribe QOGI as a reporting method, technologies that help operators understand where emissions originate and which sources are most significant can inform better reporting practices and internal verification.
QOGI supports these goals by:

Recent discussions around Clean Air Act revisions and methane policy updates have introduced uncertainty into long‑term compliance planning. However, EPA guidance and industry analyses consistently emphasize that stationary‑source LDAR requirements remain in place, even where certain deadlines or fees have shifted.
The practical takeaway for operators is not to retreat from LDAR investment, but to build programs that are adaptable. Technologies like QOGI support this adaptability by improving efficiency and documentation quality without locking operators into a single regulatory pathway.
Used appropriately, QOGI acts as a compliance‑enabling technology, not a compliance shortcut.

Regulators are increasingly interested in whether operators understand their emissions — not just whether inspections occurred. LDAR programs that can show:
are better positioned to withstand audits, inspections, and evolving regulatory expectations. Quantitative Optical Gas Imaging contributes to this confidence by making invisible emissions more understandable and actionable within a compliance framework.
As methane rules continue to mature and reporting expectations rise, compliance will depend less on minimum thresholds and more on demonstrated program quality. Technologies that improve clarity, consistency, and documentation will be essential.
In the next article in this series, we’ll explore why QOGI safety matters, and how remote gas visualization and quantification improve operations in difficult‑to‑access or hazardous environments.