{"id":"W2974219751","doi":"10.2118/196164-ms","title":"A Semi-Analytical Approach for Analysis of Wells Exhibiting Multi-Phase Transient Linear Flow: Application to Field Data","year":2019,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Permeability (electromagnetism); Relative permeability; Petroleum engineering; Oil field; Hydraulic fracturing; Reservoir modeling; Reservoir simulation; Mechanics; Geology; Geotechnical engineering; Porosity; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000823321,0.0004508157,0.0003584794,0.001398105,0.0003547357,0.0004528871,0.000710796,0.0003114648,0.00165916],"category_scores_gemma":[0.002594437,0.0003285952,0.0003963796,0.0007748957,0.0002976158,0.0004802652,0.0003263515,0.0004243072,0.000412566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004867173,"about_ca_system_score_gemma":0.0008691434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006305445,"about_ca_topic_score_gemma":0.006931151,"domain_scores_codex":[0.9997497,0.00005795649,0.00002064787,0.00004317225,0.0001135056,0.00001504606],"domain_scores_gemma":[0.9983574,0.0009264761,0.0001536163,0.0001558904,0.0003782852,0.00002828819],"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":[0.0001941373,0.0003413873,0.0112268,0.0004339634,0.00007318901,0.0003549396,0.0003892554,0.4066181,0.243837,0.007829692,0.001408836,0.3272927],"study_design_scores_gemma":[0.000005475537,0.00003173699,0.001726142,0.000004767794,0.000004102209,0.00003553459,0.00003181415,0.9862735,0.01063634,0.0006381641,0.000601103,0.00001130576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04145408,0.00003177399,0.9553691,0.00001977884,0.000005210358,0.0001075894,0.0003121672,0.001879876,0.0008203175],"genre_scores_gemma":[0.3912412,0.00005589846,0.6072608,0.00001641806,0.000007865956,0.0003143918,0.0002838872,0.0001410817,0.0006783957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006305445,"threshold_uncertainty_score":0.01253748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03676944883003853,"score_gpt":0.3161353099266035,"score_spread":0.279365861096565,"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."}}