{"id":"W2042725121","doi":"10.2118/152554-ms","title":"An Innovative Solution to Optimizing Production in Naturally Fractured Carbonate Reservoirs in Southern Mexico","year":2012,"lang":"en","type":"article","venue":"SPE Latin America and Caribbean Petroleum Engineering Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Petrophysics; Petroleum engineering; Oil production; Carbonate; Permeability (electromagnetism); Geology; Compaction; Volume (thermodynamics); Environmental science; Enhanced oil recovery; Materials science; Geotechnical engineering; Porosity; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002382896,0.0002981791,0.0003729963,0.0005448725,0.00004242117,0.00006243598,0.0001830624,0.0001295556,0.00001769581],"category_scores_gemma":[0.0001023809,0.0002960967,0.00003643631,0.0009260884,0.00003470459,0.0003289727,0.00004789014,0.0006043004,0.00000759798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656879,"about_ca_system_score_gemma":0.00002260214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007934624,"about_ca_topic_score_gemma":0.0002657247,"domain_scores_codex":[0.9984379,0.00004903369,0.000351341,0.0003305467,0.0002244732,0.0006066587],"domain_scores_gemma":[0.9993666,0.000034902,0.00004899811,0.0002970033,0.00006238716,0.0001901482],"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":[0.00001574641,0.00002503196,0.00476977,0.00004307823,0.00002828872,0.000004807644,0.007529329,0.9616137,0.02333075,0.00001020097,0.00001377255,0.002615482],"study_design_scores_gemma":[0.0003220887,0.00006424414,0.04546636,0.0001694695,0.00001689826,0.000004846775,0.001768623,0.9467707,0.00379957,0.00001370781,0.001002612,0.0006009013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779603,0.0004448174,0.01947732,0.0004933084,0.0002990073,0.0001609605,0.00001103997,0.0002595459,0.0008936976],"genre_scores_gemma":[0.9943999,0.00005361694,0.005207499,0.00003626234,0.0001372601,0.00003609766,0.00002952818,0.00004704167,0.0000528113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04069659,"threshold_uncertainty_score":0.9999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008207637917358701,"score_gpt":0.2180301304117494,"score_spread":0.2098224924943907,"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."}}