{"id":"W1974414719","doi":"10.1007/s13202-014-0105-2","title":"Dynamic tracking model for the reservoir water flooding of a separated layer water injection based on a well temperature log","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Exploration and Production Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Ministry of Education, India; National Science and Technology Major Project; China University of Petroleum, Beijing","keywords":"Offshore geotechnical engineering; Water flooding; Environmental science; Water mass; Saturation (graph theory); Water injection (oil production); Permeability (electromagnetism); Water cut; Soil science; Petroleum engineering; Hydrology (agriculture); Geology; Geotechnical engineering; Chemistry; Mathematics","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":[0.0003100247,0.0005474803,0.0008472609,0.0004470857,0.0004651388,0.0007697557,0.001308859,0.001053057,0.001622258],"category_scores_gemma":[0.0005502116,0.0005628727,0.0008555602,0.0003782767,0.0005736806,0.0009320945,0.000572135,0.0009168049,0.0002418802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129234,"about_ca_system_score_gemma":0.001588913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03346596,"about_ca_topic_score_gemma":0.01235043,"domain_scores_codex":[0.999796,0.0000218064,0.00001320801,0.00007567315,0.00005881039,0.00003452511],"domain_scores_gemma":[0.9997969,0.00006289567,0.00004804416,0.000009725168,0.0000662759,0.00001612272],"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":[0.00001736043,0.00001314953,0.000413469,0.00001917655,0.000008712904,0.00004139896,0.00002699836,0.9920684,0.003460851,0.001947094,0.0001034944,0.001879928],"study_design_scores_gemma":[0.000002430842,0.000005030854,0.0000758985,8.099597e-7,0.000003044145,0.000003453046,0.000001548186,0.9994776,0.0002016281,0.0001376238,0.00008805321,0.000003005255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1383213,0.000293788,0.8505654,0.0002902227,0.00005906647,0.00013096,0.0005239939,0.0008953742,0.008919791],"genre_scores_gemma":[0.9751738,0.0002245464,0.01550356,0.00003981441,0.00001503801,0.0002816698,0.0002435851,0.00006050188,0.008457476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03346596,"threshold_uncertainty_score":0.06654233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139752473223549,"score_gpt":0.2670355547851261,"score_spread":0.2456380300528906,"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."}}