{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002662556,0.0001315048,0.0003380191,0.0004297109,0.0000417305,0.0000306532,0.0004692307,0.00007409237,0.001637764],"category_scores_gemma":[0.0001003942,0.0001046838,0.0001040808,0.001298559,0.0000404131,0.0003270992,0.0001201324,0.0001271574,0.0001452787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002479278,"about_ca_system_score_gemma":0.000009061315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042018,"about_ca_topic_score_gemma":0.0003837828,"domain_scores_codex":[0.9988647,0.00003170266,0.000328927,0.0003079771,0.0002436718,0.0002230457],"domain_scores_gemma":[0.998344,0.00003844143,0.0000450791,0.00138145,0.0001092309,0.0000817947],"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":[0.000006949014,0.00003780167,0.001640712,0.00007868925,0.003021193,0.000001757602,0.0002033512,0.9660878,0.01144817,0.000006624507,0.01698057,0.0004863537],"study_design_scores_gemma":[0.0001034896,0.00002895932,0.006406377,0.00001468662,0.001289109,0.000001614444,0.0002527117,0.9527934,0.03666905,0.00003666601,0.002162385,0.0002416191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888442,0.0002024232,0.002859692,0.0005284298,0.0001167016,0.0001108314,0.00001492149,0.0002222458,0.007100523],"genre_scores_gemma":[0.9956728,0.000137878,0.0009981134,0.00001569179,0.00007126947,0.00001099658,0.0001821835,0.00001888486,0.002892232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02522088,"threshold_uncertainty_score":0.9992748,"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."}}