The nowadays Grid technologies connect the nation's computers, databases, instruments, storage devices to provide a virtually homogeneous problem-solving environment from the user's point of view in many field of science ? including biochemistry, drug-research and engineering. The architectural differences between the single computers and the Grid resources infers the rise of the distributed, heterogeneous and dynamic application classes. Because the Grid is inherently more complex than existing computer systems, so Grid applications reflect some of this complexity.

The forward 2.5D frequency domain electromagnetic (FEM) modeling ? taking a model and calculating what the observed EM responses should be - a useful tool to investigate different effects. In practical exploration these can be considered as influencing factors or distortion effects. The end users of geophysical EM measurements are interested in getting depth and extension data of the structural elements of different resistivities.

Finite difference (FD) modeling is a common way for solving partial differential equations. The more complicated the model is the greater the size of the linear system to be solved. The main feature of a 2.5D (dimensional) problem is that the originally 3D problem is substituted by a series of 2D ones in the spatial wave-number domain. The numerical determination of the FEM response over 2D structure requires great amount of computation, because after the Fourier transform of the Maxwell's equations finite difference method is applied in the spatial wave-number domain an a linear set of equations has to be solved for each wave-number. Independent of the FD problem usually a lot of tasks repeated making possible to realize the principle of parallelization.

This paper describe the used practical techniques and solutions that the forward 2.5D FEM modeling application are capable to exploits the computational capacity of the SEE-GRID Grid infrastructure in the aim of reducing its overall computational time.