Hydrogeophysical methods are presented that support the siting and monitoring of aquifer storage and recovery (ASR) systems. These methods are presented as numerical simulations in the context of a proposed ASR experiment in Kuwait, although the techniques are applicable to numerous ASR projects. Bulk geophysical properties are calculated directly from ASR flow and solute transport simulations ...

hen marine geophysical measurements reach resolutions of ten to hundreds of meters over 1000-km regions, a new realm of analysis is opened. Such data did not exist prior to Seasat in 1978. However, the value of these data has been neglected for almost two decades. The reasons are many: Star Wars, modeler indifference, fear of a new form of data where empiricism reigns, and numerical model mysti...

The goal of exploration geophysics is to infer the nature of buried structure and, in particular, generate drill targets that lead to a mineral deposit discovery or reserve delineation. As a profession, we aim to turn geophysical data into geological information. Most geophysical techniques enable inferences to be made from airborne, ground-based or bore-hole data through a deterministic proces...

the mapping of the crust-mantle boundary surface is an important geophysical task, which the method of seismic profiling has dealt with profitably. there are, however, areas where the crustal structure is not known up to the present, and where the moho has as yet not been determined by geophysical sounding. in such areas the isostatic theory may be applied to give a first estimate of the depths...

we present and study the stability and convergence, and order of convergence of a numerical scheme used in geophysics, namely, the stochastic version of a deterministic “implicit leapfrog” scheme which has been developed for the approximation of the socalled barotropic vorticity model. Two other schemes which might be useful in the context of geophysical applications are also introduced and dis...

Visualization of multivariate dataset has a great importance on understanding numerical simulation results. Meanwhile, there are few reports on effective application to geophysical fluid simulation dataset. In this study, we apply multidimensional transfer functions which can represent two or three physical variables simultaneously to geophysical fluid simulation such as global ocean model and ...

[1] We develop a state-space Bayesian framework to combine time-lapse geophysical data with other types of information for quantitative estimation of biogeochemical parameters during bioremediation. We consider characteristics of end products of biogeochemical transformations as state vectors, which evolve under constraints of local environments through evolution equations, and consider time-la...