{"id":"W2088117832","doi":"10.2118/166198-ms","title":"Estimating Proved Reserves in Tight/Shale Wells Using the Modified SEPD Method","year":2013,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Petroleum engineering; Oil shale; Petroleum; Geology; Tight gas; Permeability (electromagnetism); Tight oil; Production (economics); Well logging; Fossil fuel; Oil production; Environmental science; Engineering; Paleontology; Hydraulic fracturing; Waste management","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":[0.0005668517,0.000467204,0.0003445246,0.001506871,0.00012421,0.0005074491,0.0005421878,0.0003658482,0.001192153],"category_scores_gemma":[0.001700572,0.0001958246,0.0004281409,0.0009458651,0.0002083872,0.0004617187,0.0004255656,0.0002822721,0.0003351475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501304,"about_ca_system_score_gemma":0.0003515669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003886735,"about_ca_topic_score_gemma":0.003542684,"domain_scores_codex":[0.9997724,0.00005292723,0.00002273351,0.00006137745,0.00007514531,0.0000153804],"domain_scores_gemma":[0.9991009,0.0004123948,0.0001385332,0.0000798594,0.0002384698,0.00002985699],"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":[0.0005714983,0.0001305916,0.1344328,0.0003525092,0.0001446197,0.0004769677,0.0001097075,0.5375916,0.04588619,0.002059475,0.002011839,0.2762321],"study_design_scores_gemma":[0.000007318476,0.00002103955,0.01008483,0.000008097139,0.000006445802,0.00005419285,0.00001830622,0.9836999,0.005286038,0.000294659,0.0005054297,0.00001377564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3675839,0.0004561447,0.6260622,0.0001126632,0.0000474905,0.00007017275,0.001826776,0.001211783,0.002628882],"genre_scores_gemma":[0.8178143,0.0001278657,0.1796571,0.00002341759,0.000009611557,0.00005238429,0.001016216,0.00003836214,0.001260701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003886735,"threshold_uncertainty_score":0.007728219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04281265976263984,"score_gpt":0.3185977701745247,"score_spread":0.2757851104118848,"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."}}