{"id":"W4318766042","doi":"10.2118/208893-pa","title":"A Method for Determination of Rock Fabric Number from Well Logs in Unconventional Tight Oil Carbonates","year":2023,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Carbonate; Geology; Tight oil; Petroleum engineering; Permeability (electromagnetism); Tight gas; Carbonate rock; Petroleum reservoir; Grainstone; Well logging; Mineralogy; Hydraulic fracturing; Petrology; Sedimentary rock; Geochemistry; Facies; Oil shale; Paleontology; Chemistry","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":[0.0009680705,0.0005528273,0.0002747366,0.004008499,0.0002948551,0.0005244216,0.000606011,0.0002383832,0.002132586],"category_scores_gemma":[0.002332589,0.0003004278,0.0003163558,0.001527322,0.0002447475,0.0004901005,0.0005521733,0.0002951312,0.001165565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003902702,"about_ca_system_score_gemma":0.0003501976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133339,"about_ca_topic_score_gemma":0.007241318,"domain_scores_codex":[0.9989136,0.0001275966,0.0000948527,0.0002949981,0.0005052868,0.00006357623],"domain_scores_gemma":[0.9979702,0.0005893967,0.0004479182,0.0002558629,0.0006666871,0.0000699162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00035212,0.00008086294,0.1875912,0.000442665,0.00008377032,0.0002711995,0.0005655885,0.003330393,0.2960071,0.0012373,0.001431628,0.5086062],"study_design_scores_gemma":[0.00003231076,0.000419486,0.5397876,0.0001974161,0.0001035249,0.001774172,0.0006857552,0.08156101,0.3297473,0.00114183,0.0443903,0.0001592001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2687608,0.001335785,0.7142063,0.00006089775,0.00008998001,0.000333153,0.003400044,0.002672772,0.009140143],"genre_scores_gemma":[0.3927021,0.0005834581,0.5995731,0.00002908534,0.00002125236,0.000451104,0.002216766,0.000193242,0.004229883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004008499,"threshold_uncertainty_score":0.007134259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890568779700092,"score_gpt":0.3083804985253609,"score_spread":0.2794748107283599,"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."}}