Adaboost algorithm combined multiple random forest models (Adaboost-RF) is employed for fluid prediction using well logging data
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DOI: 10.1063/5.0179422
Abstract: Well logging fluid prediction is of great significance in oil and gas exploration. Based on data mining technology, this paper proposes an adaptive boosting random forest (Adaboost-RF) method for well logging fluid prediction. First, we… read more here.
Keywords: method; random forest; fluid prediction; fluid ... See more keywords
Base on temporal convolution and spatial convolution transformer for fluid prediction through well logging data
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DOI: 10.1063/5.0188850
Abstract: Fluid prediction is important in exploration work, helping to determine the location of exploration targets and the reserve potential of the estimated area. Machine learning methods can better adapt to different data distributions and nonlinear… read more here.
Keywords: convolution; fluid prediction; temporal convolution; transformer ... See more keywords