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Raman spectroscopic investigation of selected natural uranyl sulfate minerals
CURIES: Compendium of uranium Raman and infrared experimental spectra
Predicting sonic and density logs from drilling parameters using temporal convolutional networks
Robust deep learning-based seismic inversion workflow using temporal convolutional networks
Deep learning network optimization and hyperparameter tuning for seismic lithofacies classification
Making seismic monitoring work in a complex desert environment — 4D processing
Making time-lapse seismic work in a complex desert environment for CO 2 EOR monitoring — Design and acquisition
Smart DAS upholes for simultaneous land near-surface characterization and subsurface imaging
Three-Dimensional Imaging of Lagoon Aggregate Extraction and Resources: Case Study from Majuro Atoll, Marshall Islands
Summary A simple exercise in inverting transient electromagnetic (TEM) data for the layering in a basin ran into difficulties when the inversion failed to converge for about half of the soundings. The failure was caused by the forward modeling program that created artifacts for models with thin, shallow conductive layers. The artifacts were difficult to identify visually on raw plots because of the large dynamic range of most TEM data. They did show up clearly in relative comparisons of the curves from two programs. This experience led to a broader study of the differences between the many layered-earth and 3-D TEM modeling codes available and of the various approximations used. This study has already resulted in improvements in several codes, which generated more confidence in their results.