{
  "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2611.01668",
  "author_total": 7,
  "authors": [
    {
      "name": "Hamid Basiri"
    },
    {
      "name": "Andrea Giammanco"
    },
    {
      "name": "Jun Matsushima"
    },
    {
      "name": "Mohammed Y. Ali"
    },
    {
      "name": "Eduardo Cortina Gil"
    },
    {
      "name": "Ahmed Eleslambouly"
    },
    {
      "name": "Hiroyuki K. M. Tanaka"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4zbmns6nkdbjt.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2611.01668",
  "fulltext_url": null,
  "id": "4zbmns6nkdbjt",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2611.01668",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.geo-ph"
    ],
    [
      "arxiv",
      "physics.ins-det"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2611.01668",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4zbmns6nkdbjt.ris",
  "sources": [
    {
      "first_seen": "2026-11-03T12:20:59Z",
      "native_id": "2611.01668",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2611.01668"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "arxiv:physics.geo-ph",
      "subfield": "geophysics"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.ins-det",
      "subfield": "applied-instrumentation"
    }
  ],
  "title": "Muography Simulations for Carbon Capture and Storage Monitoring",
  "title_text": "Muography Simulations for Carbon Capture and Storage Monitoring",
  "type": "preprint",
  "updated_at": "2026-11-05T15:20:18Z",
  "url": "https://research.draconitic.com/paper/4zbmns6nkdbjt",
  "venue": "arXiv",
  "versions": []
}