Browsing Studentoppgaver (TN-IEP) by Subject "particle swarm optimization"
Now showing items 1-2 of 2
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A LSSVR-PSO machine learning model for the estimation of reservoir porosity from petrophysical well logs
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-06-10)Reservoir porosity is a key parameter in the reservoir evaluation and geomechanics. To obtain accurate measurement of porosity can be time-consuming and expensive by core sampling or applying various well logging tools. ... -
Prediction efficiency of immiscible Water Alternating Gas Performance by LSSVM-PSO algorithms
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020)In this work the aim is developing LSSVM-PSO model capable of capturing the interplay between the most influential parameters (mechanisms) and recovery factor (RF) of WAG process in layered reservoirs. In a previous work ...