{"id":"W4225510451","doi":"10.2139/ssrn.4080127","title":"Investigation on Water-Drive Performance of a Fault-Karst Carbonate Reservoir Under Different Well Patterns and Injection-Production Modes Based on 2d Visualized Physical Models","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Karst; Carbonate; Geology; Fault (geology); Carbonate rock; Petroleum engineering; Petrology; Geomorphology; Seismology; Geochemistry; Sedimentary rock; Materials science; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000131813,0.0003489484,0.0003668192,0.0004560841,0.0003321983,0.0005557659,0.0003905294,0.0006528663,0.00131284],"category_scores_gemma":[0.0004548958,0.0002382564,0.0003471756,0.0003318103,0.000389374,0.0004099067,0.0002521182,0.000257216,0.0001124289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003253121,"about_ca_system_score_gemma":0.000436094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138067,"about_ca_topic_score_gemma":0.01078726,"domain_scores_codex":[0.9999315,0.000009066842,0.000005583826,0.00001561678,0.00002100755,0.00001724788],"domain_scores_gemma":[0.9998237,0.00007241064,0.00001839363,0.00002076631,0.00004000913,0.00002468719],"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":[0.0005048673,0.0002607624,0.02102735,0.000143399,0.00005753983,0.001043218,0.0003095252,0.8959848,0.07003122,0.0007716835,0.0003964152,0.009469298],"study_design_scores_gemma":[0.0000157916,0.00009127838,0.01353231,0.000003552269,0.00001431313,0.00003963593,0.00009026159,0.9798768,0.006112921,0.00009317949,0.0001139385,0.00001607627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958627,0.00003609493,0.002399374,0.00004206754,0.000005823516,0.00001202788,0.00020291,0.0001172921,0.001321633],"genre_scores_gemma":[0.9994258,0.00001946505,0.0002815459,0.000002030293,7.413675e-7,0.000003443836,0.00005329975,0.000004898638,0.0002088766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0138067,"threshold_uncertainty_score":0.02745265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259217425168389,"score_gpt":0.2238977089984875,"score_spread":0.2113055347468036,"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."}}