{"id":"W2326853610","doi":"10.4043/26392-ms","title":"Case Study: Integrated Strategy Solves Well Test Issues in Deep-Water and Heavy-Oil Environments","year":2016,"lang":"en","type":"article","venue":"Offshore Technology Conference Asia","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"China National Offshore Oil Corporation","keywords":"Petroleum engineering; Flow assurance; Timeline; Fossil fuel; Environmental science; Service (business); Oil field; Computer science; Engineering; Waste management; Hydrate; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0001910627,0.0002492392,0.0002958018,0.0003513872,0.00003997725,0.00003530815,0.0001868453,0.0002630731,0.0001203026],"category_scores_gemma":[0.00005938463,0.0001677884,0.00001912471,0.0001812178,0.0001518533,0.0001472077,0.00006992718,0.0002728665,0.00003965608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005256374,"about_ca_system_score_gemma":0.00001040236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003304863,"about_ca_topic_score_gemma":0.0001718268,"domain_scores_codex":[0.9989135,0.00003871928,0.0002898228,0.0003041833,0.00009401463,0.0003597625],"domain_scores_gemma":[0.9994561,0.0000774674,0.00001860537,0.0003646976,0.00002104745,0.0000620492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006516847,0.0005713846,0.2999882,0.0001423413,0.0002427687,0.006268095,0.002405427,0.03716326,0.1298147,0.001345258,0.0001921381,0.5218013],"study_design_scores_gemma":[0.01155957,0.002316324,0.02488487,0.0007024622,0.0001657448,0.003604713,0.03001691,0.4532525,0.4290232,0.00769032,0.03282648,0.003956908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903328,0.0002409662,0.007830012,0.0003117287,0.00006074887,0.0001370497,0.000004205861,0.0004368785,0.0006456271],"genre_scores_gemma":[0.9968472,0.0002152423,0.002313062,0.000002910245,0.00001314772,0.00004921946,0.000004243283,0.00003191142,0.0005230927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5178444,"threshold_uncertainty_score":0.6842213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914979596788985,"score_gpt":0.2643766094814941,"score_spread":0.2452268135136042,"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."}}