{"id":"W4402813169","doi":"10.1016/j.energy.2024.133257","title":"Application of pressure small signals extraction and amplification technology in abandoned well pattern for geothermal energy extraction and H2 storage: Numerical modeling and economic analysis","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Extraction (chemistry); Geothermal gradient; Geothermal energy; Energy (signal processing); Economic analysis; Petroleum engineering; Environmental science; Engineering; Geology; Chemistry; Physics; Chromatography; Economics","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":[0.0001574339,0.0001700174,0.0001628579,0.0002105112,0.0002115388,0.0003679887,0.0002818639,0.0003441553,0.0009092908],"category_scores_gemma":[0.0004417005,0.0001491988,0.0002478794,0.0003748898,0.0003614012,0.0007543579,0.0001935589,0.0002036028,0.00007033035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221761,"about_ca_system_score_gemma":0.0002805927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888275,"about_ca_topic_score_gemma":0.001901116,"domain_scores_codex":[0.9999419,0.00001182167,0.000002553165,0.00001235307,0.00002399292,0.000007375439],"domain_scores_gemma":[0.9998575,0.00008266373,0.00001924127,0.00001025884,0.00002398925,0.000006379627],"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":[0.0003952389,0.0001821194,0.007834146,0.0001253872,0.00002996337,0.00047676,0.00009386099,0.7753565,0.1575062,0.01357517,0.0004545147,0.04397007],"study_design_scores_gemma":[0.000006494825,0.00006150347,0.001046082,0.000001078654,0.000005834808,0.00002821108,0.00001171313,0.9825314,0.01558275,0.0005862032,0.0001330699,0.000005674046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310192,0.000173172,0.1626989,0.000236031,0.00002804918,0.00003981079,0.00007844494,0.0001156867,0.005610855],"genre_scores_gemma":[0.9950882,0.00005088188,0.004017759,0.000003863691,0.000002083343,0.000007735601,0.000008135745,0.000003205264,0.0008181488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001888275,"threshold_uncertainty_score":0.003754556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006444303366283027,"score_gpt":0.2228483231543338,"score_spread":0.2164040197880507,"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."}}