{"id":"W2051587669","doi":"10.2118/162772-ms","title":"The Use of Electromagnetic Mixing Rules for Petrophysical Evaluation of Dual and Triple Porosity Reservoirs","year":2012,"lang":"en","type":"article","venue":"SPE Canadian Unconventional Resources Conference","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; University of Calgary","keywords":"Petrophysics; Porosity; Cementation (geology); Mixing (physics); Saturation (graph theory); Exponent; Porous medium; Geology; Dolomite; Matrix (chemical analysis); Petroleum engineering; Mechanics; Geotechnical engineering; Mineralogy; Materials science; Mathematics; Physics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001838943,0.0003332235,0.0003701224,0.002704098,0.0003341419,0.001158624,0.0006775829,0.0003726073,0.0005997379],"category_scores_gemma":[0.005108914,0.0002331717,0.0003485079,0.0008759976,0.0006461981,0.001168476,0.000892133,0.0003634657,0.0001312015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004508746,"about_ca_system_score_gemma":0.000325069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008038128,"about_ca_topic_score_gemma":0.0007298354,"domain_scores_codex":[0.9993363,0.0002102084,0.00006845468,0.00007746123,0.0002629705,0.00004461587],"domain_scores_gemma":[0.998791,0.0005888661,0.000228631,0.0001273133,0.0002117162,0.0000524788],"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":[0.0004010111,0.000138264,0.01951628,0.0001466396,0.0000843454,0.0005069114,0.0002115646,0.5902844,0.1152509,0.1121991,0.0005481407,0.1607124],"study_design_scores_gemma":[0.000007852357,0.00003121476,0.001254113,0.000007118532,0.000006691555,0.0001012018,0.00002090502,0.9630756,0.02162348,0.01339154,0.0004576691,0.00002259302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2645219,0.0001149661,0.7310147,0.00004696167,0.00001637557,0.00007290665,0.0001226429,0.0002780691,0.003811571],"genre_scores_gemma":[0.9244359,0.00005062737,0.07489377,0.00001109426,0.000007440283,0.00005329024,0.00005442402,0.00003374115,0.000459699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002704098,"threshold_uncertainty_score":0.009725332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05679415407418324,"score_gpt":0.3172335071971713,"score_spread":0.260439353122988,"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."}}