{"id":"W2035009004","doi":"10.2118/148130-ms","title":"A novel multi-rate dual-porosity model for improved simulation of fractured and multi-porosity reservoirs","year":2011,"lang":"en","type":"article","venue":"SPE Reservoir Characterisation and Simulation Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Porosity; Matrix (chemical analysis); Permeability (electromagnetism); Geology; Fracture (geology); Mechanics; Materials science; Geotechnical engineering; Mineralogy; Composite material; Chemistry; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005446323,0.0006626757,0.001144364,0.0007025583,0.0005923929,0.001185504,0.00253728,0.002949788,0.002112331],"category_scores_gemma":[0.001487369,0.0007241861,0.00110398,0.0005515473,0.0008898269,0.0009439911,0.001119857,0.001026274,0.0002828921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197357,"about_ca_system_score_gemma":0.00141405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775252,"about_ca_topic_score_gemma":0.007321822,"domain_scores_codex":[0.9997738,0.00006382223,0.00001499713,0.00004010324,0.00006286765,0.00004442273],"domain_scores_gemma":[0.9994131,0.0002543076,0.00008795647,0.00003960662,0.0001260045,0.00007897055],"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":[0.00001537658,0.00001759945,0.0002863064,0.000008760967,0.000007066783,0.00003115241,0.000009260772,0.9976914,0.0006459637,0.0007302485,0.00004564532,0.0005112056],"study_design_scores_gemma":[0.000003104528,0.000002765789,0.000022489,0.000001026202,0.000001099389,0.000001851777,0.000001102449,0.9997776,0.00006210749,0.00007381498,0.00005150233,0.000001580731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3715527,0.0006171814,0.6082528,0.0008425133,0.0001874,0.0002731507,0.0007602361,0.001034606,0.01647936],"genre_scores_gemma":[0.9532597,0.0001853933,0.0419071,0.00007935137,0.00003075685,0.0002608428,0.000229806,0.00009862469,0.003948441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01775252,"threshold_uncertainty_score":0.03529841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07299509060732787,"score_gpt":0.2799890812955508,"score_spread":0.2069939906882229,"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."}}