Drone Measurements Ensure Global OGMP 2.0 Level 5 Compliance

Abstract The need for globally deployable, consistent emissions measurement programs is increasing as clean energy feedstock demands and regulatory pressures continue to rise. Many programs, such as Oil & Gas Methane Partnership (OGMP) 2.0, require high-accuracy and precision ‘bottom-up’ emissions calculations and facility-scale ‘top-down’ measurements. The challenge the industry faces is deciding where to allocate resources between abatement and measurement/reconciliation of GHG emissions. This work shares the deployment of a fit-for-purpose global emissions measurement program that is critical for measurement and reporting frameworks. All surveys were conducted with an independently validated, field-proven, drone-mounted miniature tunable diode laser absorption spectrometer (TDLAS) designed to measure methane emissions in the atmosphere from energy-industry sources emission sources. High-fidelity anemometer data and high-accuracy and -precision methane measurements are necessary to ensure low uncertainty methane fluxes calculated using mass-balance algorithms. Facility-level emission rates are reported through a single measurement or the aggregation of several equipment group-level measurements. Standard operating procedures relevant to the application of any new "advanced" methane technology were developed to scale for global demand of methane measurement and reduction, ensuring consistency of solution across the globe and across operators. Surveys were scaled for numerous operators across 6 continents and growing from 0 to 24 global drone service providers (DSPs) over 7 years. Logistical challenges were overcome to ensure technology was transported into the regions of interest and quality of service maintained. Regional DSPs were trained and certified to ensure consistency of service operation and excellence in execution. The measurements from these campaigns show a dramatic increase in impact over time, and begin to highlight, in resolution, the differences and similarities between regional emission footprints, both onshore and offshore. Many of the emissions measurements shared with operators have resulted in change of behavior, accelerated repairs or the inclusion of validated data to internal/external methane measurement initiatives. Reconciliation between top-down and bottom-up emissions can be challenging, showing the importance of "continuous improvement" initiatives such as OGMP 2.0. This work shares the challenges of deploying novel technologies for the novel emissions measurement globally, highlighting operator-accepted cost-effective solutions that ensure global consistency across multiple assets in multiple countries, onshore and offshore, facilitating swift and transparent reconciliation.

Authors

Publication Details

Published
2024-11-04
DOI
https://doi.org/10.2118/222040-ms
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Drone Measurements Ensure Global OGMP 2.0 Level 5 Compliance

Iain Cooper, B. J. Smith
Blockchain Technology Applications and Security
article

Drone Measurements Ensure Global OGMP 2.0 Level 5 Compliance

Iain Cooper, B. J. Smith
article en

Abstract

Abstract The need for globally deployable, consistent emissions measurement programs is increasing as clean energy feedstock demands and regulatory pressures continue to rise. Many programs, such as Oil & Gas Methane Partnership (OGMP) 2.0, require high-accuracy and precision ‘bottom-up’ emissions calculations and facility-scale ‘top-down’ measurements. The challenge the industry faces is deciding where to allocate resources between abatement and measurement/reconciliation of GHG emissions. This work shares the deployment of a fit-for-purpose global emissions measurement program that is critical for measurement and reporting frameworks. All surveys were conducted with an independently validated, field-proven, drone-mounted miniature tunable diode laser absorption spectrometer (TDLAS) designed to measure methane emissions in the atmosphere from energy-industry sources emission sources. High-fidelity anemometer data and high-accuracy and -precision methane measurements are necessary to ensure low uncertainty methane fluxes calculated using mass-balance algorithms. Facility-level emission rates are reported through a single measurement or the aggregation of several equipment group-level measurements. Standard operating procedures relevant to the application of any new "advanced" methane technology were developed to scale for global demand of methane measurement and reduction, ensuring consistency of solution across the globe and across operators. Surveys were scaled for numerous operators across 6 continents and growing from 0 to 24 global drone service providers (DSPs) over 7 years. Logistical challenges were overcome to ensure technology was transported into the regions of interest and quality of service maintained. Regional DSPs were trained and certified to ensure consistency of service operation and excellence in execution. The measurements from these campaigns show a dramatic increase in impact over time, and begin to highlight, in resolution, the differences and similarities between regional emission footprints, both onshore and offshore. Many of the emissions measurements shared with operators have resulted in change of behavior, accelerated repairs or the inclusion of validated data to internal/external methane measurement initiatives. Reconciliation between top-down and bottom-up emissions can be challenging, showing the importance of "continuous improvement" initiatives such as OGMP 2.0. This work shares the challenges of deploying novel technologies for the novel emissions measurement globally, highlighting operator-accepted cost-effective solutions that ensure global consistency across multiple assets in multiple countries, onshore and offshore, facilitating swift and transparent reconciliation.

Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.