{"paper":{"title":"Quantifying Injection-Driven Interphase Mass Transfer within Porous Media via Time-Elapsed X-ray micro-Computed Tomography","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"Three analytical methods for mass transfer in porous media from microCT images produce average coefficients within one order of magnitude.","cross_cats":["physics.data-an","physics.geo-ph"],"primary_cat":"physics.flu-dyn","authors_text":"Anindityo Patmonoaji, Anna L. Herring, Christopher A. Allison, Lydia Knuefing, Ruotong Huang","submitted_at":"2026-04-09T02:59:18Z","abstract_excerpt":"Understanding interphase mass transfer is essential for a variety of applications in porous media, ranging from groundwater remediation to geologic energy storage. While X-ray micro-Computed Tomography ($\\mu$CT) provides critical \\textit{in situ} observations, its application in quantifying mass transfer phenomena requires models and workflows compatible with spatial and temporal constraints. Current literature presents three analytical frameworks for evaluating interphase mass transfer using time-lapsed sequences of $\\mu$CT scans: the Slice-Averaged Concentration (SAC) approach, the Non-Class"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Our analysis finds that all three analytical approaches estimate average mass transfer coefficients within one order of magnitude of one another at the same solvent injection rate.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The volume-ratio filtering technique successfully removes biases from dissolution-driven cluster remobilization without discarding valid mass-transfer events or introducing new artifacts.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Three microCT workflows for interphase mass transfer in porous media produce average coefficients within one order of magnitude at fixed injection rates after volume-ratio filtering, but diverge on detailed concentration profiles.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Three analytical methods for mass transfer in porous media from microCT images produce average coefficients within one order of magnitude.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"e3c343be2acf7967fc24b53cf6ff929933a150fb36109e44dbad13e2b6a1f209"},"source":{"id":"2604.07743","kind":"arxiv","version":2},"verdict":{"id":"38da2d73-115f-4802-8950-b607afb6e182","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-10T18:33:05.202826Z","strongest_claim":"Our analysis finds that all three analytical approaches estimate average mass transfer coefficients within one order of magnitude of one another at the same solvent injection rate.","one_line_summary":"Three microCT workflows for interphase mass transfer in porous media produce average coefficients within one order of magnitude at fixed injection rates after volume-ratio filtering, but diverge on detailed concentration profiles.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The volume-ratio filtering technique successfully removes biases from dissolution-driven cluster remobilization without discarding valid mass-transfer events or introducing new artifacts.","pith_extraction_headline":"Three analytical methods for mass transfer in porous media from microCT images produce average coefficients within one order of magnitude."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2604.07743/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}