Muography Simulations for Carbon Capture and Storage Monitoring
Abstract
Muography can monitor CO2 storage through reservoir density changes, but site-scale simulations are costly: reservoirs can be deep and borehole detectors are small. We address both with two approaches. First, a two-stage workflow splits the kilometer-scale simulation: a fast code transports muons through the overburden, and a general-purpose Monte Carlo code through the reservoir and detectors. Second, a geometric filter at the source keeps only muons whose direction and position let them reach the detectors, within a margin for multiple scattering, and a range cut removes those with too little energy. Both are available in the UCMuon simulation suite for muon generation, filtering and transport. At a deep (800-1000 m) and a shallow (65 m) CO2 storage site, each approach reduces the computing time about 700-fold, and the filtered simulation gives the same hit rate as a full one, as long as the margin exceeds the muons' sideways scattering drift.
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BibTeX
@misc{basiri2026muography,
title = {{Muography Simulations for Carbon Capture and Storage Monitoring}},
author = {Hamid Basiri and Andrea Giammanco and Jun Matsushima and Mohammed Y. Ali and Eduardo Cortina Gil and Ahmed Eleslambouly and Hiroyuki K. M. Tanaka},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.01668},
eprint = {2611.01668},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.01668},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Muography Simulations for Carbon Capture and Storage Monitoring
AU - Hamid Basiri
AU - Andrea Giammanco
AU - Jun Matsushima
AU - Mohammed Y. Ali
AU - Eduardo Cortina Gil
AU - Ahmed Eleslambouly
AU - Hiroyuki K. M. Tanaka
PY - 2026
DA - 2026/11/01
PB - arXiv
DO - 10.48550/arxiv.2611.01668
UR - https://arxiv.org/abs/2611.01668
AB - Muography can monitor CO2 storage through reservoir density changes, but site-scale simulations are costly: reservoirs can be deep and borehole detectors are small. We address both with two approaches. First, a two-stage workflow splits the kilometer-scale simulation: a fast code transports muons through the overburden, and a general-purpose Monte Carlo code through the reservoir and detectors. Second, a geometric filter at the source keeps only muons whose direction and position let them reach the detectors, within a margin for multiple scattering, and a range cut removes those with too little energy. Both are available in the UCMuon simulation suite for muon generation, filtering and transport. At a deep (800-1000 m) and a shallow (65 m) CO2 storage site, each approach reduces the computing time about 700-fold, and the filtered simulation gives the same hit rate as a full one, as long as the margin exceeds the muons' sideways scattering drift.
ER -