The last two decades have witnessed a dramatic growth in interest in the interaction between economic activity and geophysical variables. A major hurdle for current research is the complete disjunction of socioeconomic and geophysical data. The present study describes the results of the GEcon project, which has developed a geophysically based data set on economic activity. The G-Econ data prese...

An object-oriented and map-based prototype expert system has been developed for integrating geophysical, geological data for base metal exploration. The object-oriented knowledge representation structure and uncertainty propagation mechanisms used work well for this integrated resource exploration problem. Evidential belief function theory is utilized to manage the uncertainties in the system. ...

Detection and extraction of quasi-oscillatory dynamical modes from instrumental records of geophysical data became a useful tool in analysing variability of observed phenomena reflected in complex, multivariate geophysical signals. Using the extension of the Monte Carlo Singular System Analysis (MC SSA), based on evaluating and testing regularity of dynamics of the SSA modes against the colored...

Monte Carlo Ray Tracing: MCRT based sensitivity analysis of the geophysical parameters (the atmosphere and the ocean) on Top of the Atmosphere: TOA radiance in visible to near infrared wavelength regions is conducted. As the results, it is confirmed that the influence due to the atmosphere is greater than that of the ocean. Scattering and absorption due to aerosol particles and molecules in the...

Joint inversion of different geophysical datasets is an effective way to eliminate non-uniqueness in geophysical inversion problems. In this paper, we focus on a case study of joint inversion of seismic traveltime and gravity observations. The results are encouraging and we can have confidence that, comparing traveltime tomography alone, joint inversion of seismic traveltime and gravity data im...

The mission of the Geophysical Statistics Project (GSP) is to encourage the application of statistical analysis and the development of new statistical methods in the geophysical sciences. To fulfill this goal, GSP must also be engaged in basic statistical research including mathematical statistics and probability theory. During this period as part of the NCAR reorganization, GSP administration ...

We propose a machine learning approach to geophysical inversion problems for the exploration of earth resources. Our approach is based on nonparametric Bayesian methods, specifically, Gaussian processes, and provides a full distribution over the predicted geophysical properties whilst enabling the incorporation of data from different modalities. We assess our method both qualitatively and quant...

All geophysical methods detect fractures indirectly [e.g. NAS/NRC, 1996]. Typically several levels of interpretation follow the collection of raw geophysical data. Field measurements must first be interpreted (for example from travel time to velocities or identification of the origin of seismic scattering features in the coda). Then the fracture properties must be deduced using models (from sei...

Text: The Helmholtz equation is frequently used as f model for sonic inversion for both geophysical and medical applications. In this paper we describe explicitly the use of multi-sources, i.e., the simultaneous 'firing' of all transducers for the case of medical, and all geophones for the case of geophysical inversion, resulting in a novel inversion procedure that enabling the circmumvention o...