Fast prediction of reservoir permeability based on embedded feature selection and LightGBM using direct logging data

Permeability estimation plays an important role in reservoir evaluation, hydrocarbon development, etc. Traditional methods have problems of time consuming and high cost. At present, the application of machine learning methods are more and more extensive, however, some machine learning models developed for permeability have fewer samples, requiring prior knowledge, and some parameters need to be calculated indirectly. To this end, based on a...