{"id":"W2044436270","doi":"10.2118/132879-pa","title":"An Improved Triple-Porosity Model for Evaluation of Naturally Fractured Reservoirs","year":2011,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary; ConocoPhillips","keywords":"Porosity; Petrophysics; Geology; Matrix (chemical analysis); Cementation (geology); Effective porosity; Saturation (graph theory); Water saturation; Mineralogy; Geotechnical engineering; Materials science; Mathematics; Composite material; Cement","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004643616,0.0004010664,0.0005127217,0.0004808408,0.000113615,0.00004934329,0.0005852022,0.0003248555,0.0002163488],"category_scores_gemma":[0.0008788561,0.0003928975,0.0002898785,0.0005105567,0.00003333741,0.0006906471,0.00004586739,0.000366094,0.000005935934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004081008,"about_ca_system_score_gemma":0.0002047226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044531,"about_ca_topic_score_gemma":0.0001642573,"domain_scores_codex":[0.9966579,0.0001446735,0.0007871788,0.0004805737,0.001384379,0.0005452728],"domain_scores_gemma":[0.9971994,0.00009409614,0.0001733386,0.0009655567,0.001340062,0.0002275327],"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":[0.00006731694,0.00006449341,0.00005156189,0.0001658792,0.0002063992,3.394469e-7,0.001366123,0.9730743,0.02274145,0.00002892651,0.0001591804,0.002074086],"study_design_scores_gemma":[0.001835085,0.00008459017,0.001997664,0.00006352852,0.0005139462,0.000001342922,0.00008042618,0.9573808,0.03656025,0.0009642449,0.0001034902,0.0004146361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297974,0.001655826,0.2646374,0.00006052761,0.0005543387,0.001798443,0.00005645798,0.0005057387,0.00093382],"genre_scores_gemma":[0.9792007,0.0000666323,0.01981236,0.00001033314,0.0001652225,0.0003663612,0.0002092455,0.0001083548,0.00006073911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494033,"threshold_uncertainty_score":0.9998523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812515716663342,"score_gpt":0.2966604465598235,"score_spread":0.2485352893931901,"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."}}