{"id":"W4409854980","doi":"10.1016/j.cis.2025.103523","title":"Hydrocarbon migration and accumulation simulation: A review and a novel multi-scale quantitative numerical simulation method","year":2025,"lang":"en","type":"review","venue":"Advances in Colloid and Interface Science","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Capillary pressure; Lattice Boltzmann methods; Relative permeability; Petroleum engineering; Multiphase flow; Scale (ratio); Reservoir simulation; Hydrocarbon mixtures; Computer simulation; Computer science; Permeability (electromagnetism); Wetting; Fluid dynamics; Geology; Porous medium; Hydrocarbon; Simulation; Porosity; Mechanics; Geotechnical engineering; Chemistry; Engineering; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005778673,0.0003195459,0.0008589681,0.000332731,0.00009178036,0.00008708181,0.0001578844,0.0001287533,0.000002052335],"category_scores_gemma":[0.0005240337,0.0002910013,0.0000452721,0.001165362,0.0001701561,0.001291278,0.0001076,0.0002568434,6.303067e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649603,"about_ca_system_score_gemma":0.00006367816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001018763,"about_ca_topic_score_gemma":0.00006605117,"domain_scores_codex":[0.9984211,0.00007185189,0.0005411986,0.0005742667,0.0001814422,0.0002101813],"domain_scores_gemma":[0.9985363,0.0009726772,0.0001680041,0.0001795458,0.00008257737,0.00006089413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004661824,0.00001697283,0.00001673454,0.01745236,0.000008969624,1.592317e-7,0.0001441151,0.1576588,0.0002326504,0.0000822779,0.000001698092,0.8243806],"study_design_scores_gemma":[0.0001279568,0.00006862393,0.00001457617,0.02376094,0.0001064266,0.000003739631,0.00001742697,0.9013719,0.0001412706,0.0001313284,0.07392949,0.0003263183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001793989,0.5813924,0.4177215,0.000005794389,0.00007260562,0.0005791641,0.00001010715,0.00006232915,0.0001381633],"genre_scores_gemma":[0.006436809,0.9120616,0.08130509,0.00002434244,0.000008215795,0.00009847368,0.000005381629,0.0000168953,0.00004323408],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8240544,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912852772430526,"score_gpt":0.4519342306334724,"score_spread":0.4028057029091671,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}