{"id":"W2052308832","doi":"10.2118/148710-ms","title":"Shale Gas Modeling Workflow: From Microseismic to Simulation -- A Horn River Case Study","year":2011,"lang":"en","type":"article","venue":"Canadian Unconventional Resources Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Petroleum engineering; Hydraulic fracturing; Microseism; Oil shale; Drilling; Permeability (electromagnetism); Unconventional oil; Shale gas; Fracture (geology); Fluid dynamics; Petrology; Geotechnical engineering; Engineering; Seismology; Mechanics; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001834116,0.0006052554,0.0003582037,0.0006416472,0.0007487875,0.001917442,0.001314654,0.0008054256,0.003731924],"category_scores_gemma":[0.002698263,0.0003810023,0.0006826376,0.0007175089,0.0004520021,0.0009982132,0.001057522,0.0007483046,0.000669643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002047691,"about_ca_system_score_gemma":0.002773681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06580161,"about_ca_topic_score_gemma":0.1068772,"domain_scores_codex":[0.9994984,0.0001694462,0.00004776465,0.00009115153,0.0001350153,0.00005819633],"domain_scores_gemma":[0.9987494,0.0005718551,0.00005640765,0.0001606599,0.00034104,0.0001206154],"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":[0.0001401591,0.0002824974,0.01672388,0.0001441718,0.00006057996,0.0008089971,0.0007676458,0.9278008,0.003760879,0.00849901,0.005239497,0.03577191],"study_design_scores_gemma":[0.00002804948,0.00002779183,0.0009013997,0.0000238769,0.000007985993,0.00003160275,0.0003342023,0.989727,0.001556726,0.00156419,0.005784152,0.00001311024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7561259,0.0004405069,0.1780878,0.003518579,0.0001167776,0.0009482396,0.009163802,0.01234571,0.0392525],"genre_scores_gemma":[0.8166624,0.0003864676,0.1696765,0.0002105602,0.00001583376,0.0003046589,0.005683193,0.0007622797,0.006298117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9341984,"threshold_uncertainty_score":0.1308372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117050593450636,"score_gpt":0.2326032526407225,"score_spread":0.1914327467062161,"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."}}