{"id":"W2051750829","doi":"10.2118/167160-ms","title":"Production Data Analysis of Liquid Rich Shale Gas Condensate Reservoirs","year":2013,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures; University of Calgary","keywords":"Petroleum engineering; Drawdown (hydrology); Shale gas; Reservoir engineering; Permeability (electromagnetism); Oil shale; Flow (mathematics); Geology; Reservoir modeling; Transient analysis; Reservoir simulation; Environmental science; Mechanics; Geotechnical engineering; Petroleum; Engineering; Chemistry; Transient response; Aquifer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002966113,0.0003348961,0.0003027516,0.0006237431,0.000229246,0.0004096698,0.0003575122,0.0002438017,0.0005874906],"category_scores_gemma":[0.0006299537,0.0001207226,0.0003255932,0.0005542014,0.0003206243,0.0003394956,0.0002502078,0.0002132455,0.00005577466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007672255,"about_ca_system_score_gemma":0.0002951718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005144333,"about_ca_topic_score_gemma":0.003107699,"domain_scores_codex":[0.9998623,0.00002951097,0.000008741998,0.0000202413,0.00005872339,0.00002044622],"domain_scores_gemma":[0.9995434,0.0002789607,0.00006021527,0.00001982754,0.00008543889,0.00001218358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003268976,0.000123293,0.02898852,0.0001570424,0.00003480844,0.0004751744,0.00007749223,0.884429,0.06557348,0.0009697598,0.0002464143,0.01859815],"study_design_scores_gemma":[0.000006386816,0.00008645034,0.005059893,0.000002355115,0.00000374625,0.00001731718,0.00003112296,0.9698533,0.02471367,0.0001371679,0.00008281231,0.000005865211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848635,0.00006418653,0.01369303,0.000032968,0.00000234469,0.00002061767,0.0002900704,0.0001110048,0.0009222546],"genre_scores_gemma":[0.9977852,0.00002523611,0.001842968,0.000001650571,6.981869e-7,0.000007986335,0.0001737321,0.000005131454,0.0001573364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005144333,"threshold_uncertainty_score":0.01022875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222604935525446,"score_gpt":0.2448655946066208,"score_spread":0.2226395452513663,"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."}}