Theoretical fluid flow models are used regularly to predict and analyze porous media flow but require verification against natural systems. Seismic monitoring in a controlled laboratory setting at a nominal scale of 1:1000 in the acoustic frequency range can help improve fluid flow models as well as elastogranular models for uncompacted saturated–unsaturated soils. A mid-scale sand tank allows ...

Body wave observations of the Earth's inner core show that it contains strong seismic heterogeneity, both laterally and radially. Models structure generated using body data are often limited by their parameterisation. Thus, is difficult to determine whether features such as anisotropic hemispheres or an innermost truly exist with simple shapes, result only from chosen parameterisation in fact m...

Noisy data are often resigned to the “too hard” basket, and an expectation exists that incremental improvements in processing effort and technology will slowly recover interpretation confidence over a long period of time. Fortunately, acquisition technology has improved significantly in recent years, and high-density 3D acquisition methods (multi-streamer, OBC, and land) are now able to provide...

This article proposes a novel 3D diffusion approach to filter oriented patterns. This approach was first developed to denoise and enhance seismic 3D data composed of a stack of layers disturbed by noise and broken by faults. The proposed filter is an extension of a 2D filter based on a classical diffusion equation including also additional orientation information. Considering 3D structures cont...