{"id":"W2533896049","doi":"10.2118/182257-ms","title":"Efficient and Scalable Methods for Dual-Porosity/Permeability Models in Fractured Reservoir Simulations","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Preconditioner; Decoupling (probability); Porosity; Computer science; Matrix (chemical analysis); Scalability; Stage (stratigraphy); Mathematical optimization; Permeability (electromagnetism); Applied mathematics; Materials science; Mathematics; Algorithm; Iterative method; Chemistry; Geology; Composite material; Control 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":[],"consensus_categories":[],"category_scores_codex":[0.0005097198,0.0001148222,0.0002011372,0.00006735821,0.00004172247,0.00001146041,0.00005996065,0.00006547553,0.00002355501],"category_scores_gemma":[0.001021507,0.00008077553,0.00003091466,0.0001616919,0.00004643923,0.00008621206,0.00004257032,0.00006372261,0.000001342344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009297175,"about_ca_system_score_gemma":0.000008579957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001820152,"about_ca_topic_score_gemma":0.000002350712,"domain_scores_codex":[0.9991788,0.00007426208,0.0002794597,0.0001930269,0.00008630043,0.0001881864],"domain_scores_gemma":[0.9946716,0.004981724,0.00002473596,0.0001919455,0.00006739449,0.00006256701],"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":[0.000007077016,0.0000280309,0.00004595109,0.00005178292,0.000005521233,1.120199e-7,0.0001023438,0.9747497,0.004880301,0.004203353,0.00001597929,0.01590988],"study_design_scores_gemma":[0.0002057328,0.000009385334,0.0002543693,0.00001648084,0.000002985457,4.843004e-7,0.00000633208,0.6403756,0.002372252,0.3565729,0.0001034781,0.0000800158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07562348,0.0000833411,0.9231718,0.0001650459,0.00007621058,0.0003470088,0.00001447168,0.0001374922,0.0003812216],"genre_scores_gemma":[0.4487921,0.000002022617,0.5511115,0.00001511014,0.00001042967,0.00002432818,6.243297e-7,0.00001312265,0.00003079426],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3731686,"threshold_uncertainty_score":0.3293931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05323976908406128,"score_gpt":0.3841954505680549,"score_spread":0.3309556814839937,"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."}}