{"id":"W2303373861","doi":"10.2118/175903-ms","title":"Reservoir Characterization and Coupled Reservoir-Geomechanical Simulation of CBM Using GSI - Case Studies","year":2015,"lang":"en","type":"article","venue":"","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada); University of Alberta","funders":"Helmholtz-Alberta Initiative; CMG Reservoir Simulation Foundation","keywords":"Geomechanics; Geology; Reservoir modeling; Rock mass classification; Oil shale; Petroleum engineering; Workflow; Permeability (electromagnetism); Characterization (materials science); Hydraulic fracturing; Reservoir simulation; Petrology; Geotechnical engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007837867,0.0006100095,0.0005668844,0.001317179,0.0006610904,0.001081179,0.001300202,0.001307567,0.003787652],"category_scores_gemma":[0.001674522,0.0003658283,0.0007413836,0.001253588,0.00065892,0.0006195215,0.0006581728,0.0006825478,0.0002610564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002798911,"about_ca_system_score_gemma":0.001496457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08428331,"about_ca_topic_score_gemma":0.07305518,"domain_scores_codex":[0.9997742,0.00005583877,0.00001923247,0.00003733204,0.00006441017,0.00004910809],"domain_scores_gemma":[0.999233,0.0003987421,0.00005638536,0.000114611,0.0001383579,0.00005885997],"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":[0.00005573693,0.0001244059,0.008528832,0.00004143779,0.00001810694,0.0002404615,0.00007465271,0.9849923,0.001307235,0.001091442,0.0002941692,0.003231228],"study_design_scores_gemma":[0.00001732612,0.00002561799,0.002160521,0.000005303857,0.000004884283,0.00001384584,0.0001092486,0.995758,0.001295468,0.0002768525,0.0003234364,0.00000939334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825341,0.00003616044,0.008844581,0.0001452339,0.000008967098,0.0001669435,0.001826017,0.0003502325,0.006087734],"genre_scores_gemma":[0.9906916,0.00002741528,0.007685982,0.000009306582,0.000001875952,0.00009000763,0.0006346765,0.00003322486,0.0008258711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08428331,"threshold_uncertainty_score":0.1675855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090568320687233,"score_gpt":0.3203843018987031,"score_spread":0.2113274698299799,"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."}}