{"id":"W1984891773","doi":"10.2118/171664-ms","title":"Integrated Characterization of Hydraulically Fractured Shale Gas Reservoirs Production History Matching","year":2014,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada); University of Alberta","funders":"","keywords":"Petrophysics; Geology; Hydraulic fracturing; Petroleum engineering; Reservoir modeling; Tight gas; Fracture (geology); Oil shale; Flow (mathematics); Hydraulic conductivity; Reservoir simulation; Permeability (electromagnetism); Geotechnical engineering; Porosity; Soil science; Mechanics","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":[0.0003509981,0.000245428,0.0002083482,0.0008742877,0.0001547836,0.0003683569,0.0004628799,0.0003178022,0.0004067231],"category_scores_gemma":[0.0009396336,0.0001649679,0.0002249678,0.000475882,0.000166208,0.0004421184,0.0003049972,0.0001511573,0.00005574653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004782469,"about_ca_system_score_gemma":0.0003845659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741382,"about_ca_topic_score_gemma":0.004206716,"domain_scores_codex":[0.9998481,0.00002129264,0.00001124502,0.00004579432,0.00005931772,0.00001419963],"domain_scores_gemma":[0.9996458,0.00009817646,0.00009093461,0.00004525013,0.00009816813,0.00002157412],"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":[0.0002464686,0.0001768162,0.07971214,0.00007328096,0.00004515337,0.0002382032,0.0001398603,0.7298316,0.1005781,0.0009837126,0.0001424478,0.08783214],"study_design_scores_gemma":[0.000002748199,0.00003164448,0.01022464,0.000001921258,0.000004346941,0.00002638871,0.00001529166,0.970727,0.01870146,0.0001733434,0.00008454904,0.000006790386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320655,0.00004391585,0.06685352,0.00001803077,0.000003874161,0.00002871334,0.0001892108,0.0002220572,0.0005752189],"genre_scores_gemma":[0.9915917,0.00001285892,0.008152321,0.000001952882,7.952e-7,0.000009808202,0.0001021229,0.000006084827,0.000122372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003741382,"threshold_uncertainty_score":0.007439196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007273086164951409,"score_gpt":0.1848443707948121,"score_spread":0.1775712846298607,"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."}}