Climate Tech Visual Presentation CT05: Automation of greenhouse gas emissions quantification in natural gas production for operational flexibility

Climate Tech Visual Presentation CT05 This paper covers a case study demonstrating how automating greenhouse gas (GHG) calculations can improve accuracy, transparency, and efficiency across natural gas operations. This US case study from the Appalachian Basin shows how operational activity data and measurement inputs can be mapped directly into emissions estimation models, producing comprehensive inventories for carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). The automated methodology reduces human error common in spreadsheet-based reporting, integrates source-level emissions factors, and enables near real-time identification of emission-intensive processes. Beyond inventory generation, the framework supports emissions forecasting, allowing operators to model the impacts of operational changes, reduction technologies, and production planning on future carbon and methane intensities. The paper also discusses the potential of how requirements from Australian reporting frameworks, including the National Greenhouse and Energy Reporting Scheme, can be incorporated into automated workflows. Overall, the approach positions automated GHG quantification as both a compliance and operational intelligence capability supporting methane mitigation across upstream and midstream assets. To access the Visual Presentation click on 'Supplementary data' below. To read the full paper click here

Authors

Institutions

Publication Details

Journal
Australian Energy Producers journal.
Published
2026-06-18
DOI
https://doi.org/10.1071/ep26477
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate Tech Visual Presentation CT05: Automation of greenhouse gas emissions quantification in natural gas production for operational flexibility

Disha Gadre
Australian Energy Producers journal.
Atmospheric and Environmental Gas Dynamics
article

Climate Tech Visual Presentation CT05: Automation of greenhouse gas emissions quantification in natural gas production for operational flexibility

Disha Gadre
article en

Abstract

Climate Tech Visual Presentation CT05 This paper covers a case study demonstrating how automating greenhouse gas (GHG) calculations can improve accuracy, transparency, and efficiency across natural gas operations. This US case study from the Appalachian Basin shows how operational activity data and measurement inputs can be mapped directly into emissions estimation models, producing comprehensive inventories for carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). The automated methodology reduces human error common in spreadsheet-based reporting, integrates source-level emissions factors, and enables near real-time identification of emission-intensive processes. Beyond inventory generation, the framework supports emissions forecasting, allowing operators to model the impacts of operational changes, reduction technologies, and production planning on future carbon and methane intensities. The paper also discusses the potential of how requirements from Australian reporting frameworks, including the National Greenhouse and Energy Reporting Scheme, can be incorporated into automated workflows. Overall, the approach positions automated GHG quantification as both a compliance and operational intelligence capability supporting methane mitigation across upstream and midstream assets. To access the Visual Presentation click on 'Supplementary data' below. To read the full paper click here

Australian Energy Producers journal.Vol. 66(S2)
Sugar Research Australia (Australia) (AU)
Climate action
Openalex Percentile: Top 7%
Atmospheric and Environmental Gas Dynamics
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.