A Measurement Informed Inventory (MII) refers to an emissions inventory that leverages detailed, site-specific measurements from an oil and gas company to calculate their methane emissions, adhering to set standards (e.g. Oil and Gas Methane Partnership (OGMP) 2.0 standards), which prioritizes accurate measurement data over generic assumptions to provide a more reliable picture of emissions and guide mitigation efforts. It is a highly detailed inventory informed by direct measurements rather than solely relying on industry averages.

An Introduction to MII, MAES, and O&G Emissions

MAES (Mechanistic Air Emissions Simulator) is a simulation tool developed at Colorado State University to estimate emissions from a range of oil and gas facilities, including production sites, compressor stations, dehydration stations, and gas processing plants. These sites can emit hydrocarbons that can be grouped into two primary categories:

a) Normal-Operating Emissions: Routine emissions from regular equipment (e.g., wells, tanks, separators, compressors, heaters, flares, and dehydrators). Many of these are reported to regulatory inventories, such as the federal Greenhouse Gas Reporting Program (GHGRP) or Colorado’s Oil and Natural Gas Emissions Inventory Rule (ONGAEIR). Even though regulatory inventories have improved significantly over the years, ongoing research and field data continue to reveal emission sources that may still be underreported or missing. For example, crankcase emissions from reciprocating engines were not initially required under older versions of Subpart W, despite being an expected and normal operating emission.

b) Abnormal Process Emissions: Less frequent but potentially large release events. These can originate from equipment malfunctions or process upsets and are typically underreported or absent in conventional inventories. Despite their rarity, they can dominate total emissions when summed across an entire basin or region.

Accurately quantifying both normal and abnormal emissions is essential for developing a comprehensive inventory that reflects real-world emissions and informs regulatory and industry decision-making. By integrating field measurements with existing inventories, we establish the foundation for what we define as a Measurement Informed Inventory (MII).

A graph showing both normal and failure emissions at a oil and gas production site using the monte carlo method.

What is the MII Process?

We use MAES to generate time-resolved (one-second resolution) estimates of both normal and abnormal emissions from O&G sites. The MII methodology itself consists of three main phases:

Inventory Matching:
    • We gather operator-submitted data (e.g., GHGRP, ONGAEIR, OGMP) and other operational details if available to create MAES Inventory Models.
    • These models are adjusted until their simulated annual emissions reasonably match the totals reported to official inventories.
Emission Surveys and Classification
    • In the field, aerial, or on-site surveys measure instantaneous emissions. Because inventories represent annual averages, their direct comparison to short-term “snapshot” measurements is challenging. MAES addresses this by converting its second-by-second emission estimates into a probability distribution of expected emissions at any given moment. This probability distribution provides the expected emission range of emissions for the simulated site.
    • Field measurements that exceed the model’s expected emission range indicate likely abnormal process emissions. Collaborating with operators, they can provide the causes for these occurrences (e.g., equipment failures) and we can gather statistics on the size, frequency, and duration of these abnormal events.
Measurement Informed Inventory
    • Finally, we incorporate these abnormal-emission statistics into the MAES Inventory Models, creating the MAES MII Models. The latter capture both routine and abnormal emissions, enabling more accurate estimates of total emissions at each site.

Key Stakeholders

METEC Research Group, CSU

UT – Austin


Benefits for Industry and Regulators

By integrating comprehensive field data with high-resolution simulations, MAES MII provides a more complete and realistic emissions profile for O&G facilities. Regulators benefit from better-informed policy decisions and enforcement, as MII helps pinpoint potential underreported sources. Industry operators gain insights into their most significant emission events (both routine and abnormal), empowering them to prioritize equipment upgrades, improve maintenance practices, and reduce overall emissions.

In short, the MII approach offers a scientifically grounded, transparent framework to close the gap between reported inventories and real-world emission measurements, often reflected in mismatches between top-down and bottom-up approaches, ultimately helping meet regulatory requirements and operating efficiency.