Results 51 to 60 of about 69,031 (338)
Improving full-waveform inversion based on sparse regularisation for geophysical data [PDF]
Full Waveform Inversion (FWI) is an advanced geophysical inversion technique. In fields such as oil exploration and geology, FWI is used for providing images of subsurface structures with higher resolution. The conventional algorithm minimises the misfit error by calculating the least squares of the wavefield solutions between observed data and ...
arxiv
Towards an integrated inversion of geoscientific data: What price of geology?
Abstract The inversion of multiple geoscientific datasets to define structures in hard rock terrains has for the most part been limited to geophysical methods supported by rock property constraints. In this paper we expand the range of constraints available to geological modellers by defining a series of misfit functions that are used to define the ...
Jessell, Mark+2 more
openaire +2 more sources
Multiple data sets are typically collected in an airborne survey. The standard way of interpreting multiple airborne data sets is to invert them separately to obtain a set of physical property models, e.g., a density contrast and a susceptibility model. There are two issues with this approach.
Sun, J., Wei, X.
openaire +2 more sources
Excavation under complex geological conditions requires effective and accurate geological forward-prospecting to detect the unfavorable geological structure and estimate the classification of surrounding rock in front of the tunnel face.
Bin Liu+4 more
doaj
Impact of local rivers on coastal acidification
Abstract Coastal ecosystems are highly dynamic areas for carbon cycling and are likely to be negatively impacted by increasing ocean acidification. This research focused on dissolved inorganic carbon (DIC) and total alkalinity (TA) in the Mississippi Sound to understand the influence of local rivers on coastal acidification.
Allison M. Savoie+6 more
wiley +1 more source
Encoding physics to learn reaction-diffusion processes [PDF]
Modeling complex spatiotemporal dynamical systems, such as the reaction-diffusion processes, have largely relied on partial differential equations (PDEs). However, due to insufficient prior knowledge on some under-explored dynamical systems, such as those in chemistry, biology, geology, physics and ecology, and the lack of explicit PDE formulation used
arxiv
Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods [PDF]
Tunnel boring machine (TBM) is a complex engineering system widely used for tunnel construction. In view of the complicated construction environments, it is necessary to predict geology conditions prior to excavation. In recent years, massive operation data of TBM has been recorded, and mining these data can provide important references and useful ...
arxiv +1 more source
Concept of fractals and power law in statistical and geometrical data sets is rather matured. However, the application part of the fractal theory is not yet commensurate with the theoretical literature available.
V.P. Dimri, R.P. Srivastava
doaj +1 more source
Study of the asteroid Bennu using geodesyANNs and Osiris-Rex data [PDF]
Asteroids and other small bodies in the solar system tend to have irregular shapes, owing to their low gravity. This irregularity does not only apply to the topology, but also to the underlying geology, potentially containing regions of different densities and materials.
arxiv
Inversion of Rayleigh Wave Dispersion Curve Extracting from Ambient Noise Based on DNN Architecture
The inversion of the Rayleigh wave dispersion curve is a crucial step in obtaining the shear wave velocity (VS) of near-surface structures. Due to the characteristics of being ill-posed and nonlinear, the existing inversion methods presented low ...
Qingsheng Meng+3 more
doaj +1 more source