Replication data for: Paleokarst reservoir modelling - A concept-driven approach
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ABSTRACTA significant proportion of the world's hydrocarbon production comes from paleokarst reservoirs. Although these reservoirs boast some of the most productive wells in oil history, the recovery factor is relatively low (RFmean: 32%) compared to other carbonate reservoirs (RFmean: 37 - 51%). The low recovery could relate to current reservoir modelling approaches potentially yielding inaccurate resource estimates or early water-breakthrough. Conventional industry-standard reservoir modelling software suites do not have dedicated workflows or add-ins for handling the complex morphologies commonly associated with paleokarst. Current modelling approaches are often data-driven (conditioned on available seismic and well data) and employ adapted or modified versions of stochastic reservoir modelling workflows used for silici' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Cave collapse","Clastic sediment-fill","Conceptual model","Electrical resistivity tomography","Facies modelling","Karst","Karst cave","Paleokarst","Reservoir model"]} <|eot_id|>
 Here is the Description of a dataset. Description:'ABSTRACTA significant proportion of the world's hydrocarbon production comes from paleokarst reservoirs. Although these reservoirs boast some of the most productive wells in oil history, the recovery factor is relatively low (RFmean: 32%) compared to other carbonate reservoirs (RFmean: 37 - 51%). The low recovery could relate to current reservoir modelling approaches potentially yielding inaccurate resource estimates or early water-breakthrough. Conventional industry-standard reservoir modelling software suites do not have dedicated workflows or add-ins for handling the complex morphologies commonly associated with paleokarst. Current modelling approaches are often data-driven (conditioned on available seismic and well data) and employ adapted or modified versions of stochastic reservoir modelling workflows used for silici' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
ABSTRACTA significant proportion of the world's hydrocarbon production comes from paleokarst reservoirs. Although these reservoirs boast some of the most productive wells in oil history, the recovery factor is relatively low (RFmean: 32%) compared to other carbonate reservoirs (RFmean: 37 - 51%). The low recovery could relate to current reservoir modelling approaches potentially yielding inaccurate resource estimates or early water-breakthrough. Conventional industry-standard reservoir modelling software suites do not have dedicated workflows or add-ins for handling the complex morphologies commonly associated with paleokarst. Current modelling approaches are often data-driven (conditioned on available seismic and well data) and employ adapted or modified versions of stochastic reservoir modelling workflows used for silici
Cave collapse; Clastic sediment-fill; Conceptual model; Electrical resistivity tomography; Facies modelling; Karst; Karst cave; Paleokarst; Reservoir model