{"id":"W4415071672","doi":"10.46690/ager.2025.09.05","title":"Numerical simulation of power-law acid flow in rough fractures of carbonate rocks","year":2025,"lang":"en","type":"article","venue":"ADVANCES IN GEO-ENERGY RESEARCH","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Chengdu University; Chengdu University of Technology; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation; National Natural Science Foundation of China","keywords":"Rheology; Computer simulation; Surface finish; Fracture (geology); Carbonate; Surface roughness; Flow (mathematics); Penetration (warfare)","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":[],"consensus_categories":[],"category_scores_codex":[0.000453835,0.0001334287,0.0003690332,0.0006282448,0.00003724601,0.00001157913,0.0003211297,0.0001510617,0.00004773121],"category_scores_gemma":[0.0002122215,0.0001214544,0.00007678488,0.001390536,0.0001190749,0.0002251333,0.00008091633,0.0004727864,0.00000128177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067365,"about_ca_system_score_gemma":0.0000400257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001996247,"about_ca_topic_score_gemma":0.001350368,"domain_scores_codex":[0.9982946,0.0001538963,0.0004492235,0.0002351545,0.0004723995,0.0003947435],"domain_scores_gemma":[0.998952,0.0004986845,0.00003534339,0.0003458196,0.0001229376,0.00004525325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005151493,0.00005532711,0.001470359,0.0001227255,0.00003331918,0.00001027331,0.0001613612,0.9868144,0.0004450548,0.0003122757,0.00001664668,0.01050668],"study_design_scores_gemma":[0.0003801125,0.00004301387,0.001548575,0.0001986727,0.000004826118,2.607784e-7,0.00008859506,0.9466748,0.03328476,0.004679947,0.01297286,0.0001236137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4510879,0.09120712,0.1341231,0.000699942,0.0009439585,0.000552056,0.00003162165,0.000247853,0.3211065],"genre_scores_gemma":[0.9986041,0.0008913351,0.0002632741,0.00001516915,0.00002565788,0.00002181378,0.000009255843,0.00001569927,0.0001537365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5475162,"threshold_uncertainty_score":0.4952767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009229469549274515,"score_gpt":0.3311498231229317,"score_spread":0.3219203535736572,"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."}}