Porosity prediction with uncertainty quantification from multiple seismic attributes using random forest
Inferring porosity of subsurface from seismic data is of profound significance to many fields
of Earth science and engineering applications, including but not limited to: hydrocarbon …
of Earth science and engineering applications, including but not limited to: hydrocarbon …
Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach
Seismic prediction of fluid and lithofacies distribution is of great interest to reservoir
characterization, geologic model building, and flow unit delineation. Inferring fluids and …
characterization, geologic model building, and flow unit delineation. Inferring fluids and …
Estimation of soil heavy metal content using hyperspectral data
Z Liu, Y Lu, Y Peng, L Zhao, G Wang, Y Hu - Remote Sensing, 2019 - mdpi.com
Quickly and efficiently monitoring soil heavy metal content is crucial for protecting the natural
environment and for human health. Estimating heavy metal content in soils using …
environment and for human health. Estimating heavy metal content in soils using …