Gamma ray log generation from drilling parameters using deep learning

The Data Supplement Method of Azimuthal EM LWD Based on Deep Learning

“…Wang et al proposed a spatio-temporal neural network (STNN) algorithm that successfully predicting acoustic sonic logging data from gamma-ray, compensated neutron, formation resistivity and borehole diameter logs [21]. Osarogiagbon et al presents an approach that utilizes drilling parameters obtained from mud logging and measurement while drilling (MWD) for real-time prediction of gamma ray log which is used as a lithology identifier [22].…”