Over the last decade, oil demand has increased globally and most of the easy exploration targets are exploited. Because of demand and high oil price, companies are now looking for oil in more complex basin. Hence better technology and methods needed for exploration. In the recent year, understanding of reservoir is a boom in success. This book, therefore, provides few methods to characterized reservoir properly which give more information in a specific reservoir. Four different methods used in this book are compaction and rock properties evaluation, rock physics analysis, AVO modeling and seismic inversion. Compaction study reveal the time temperature history of reservoir rock whereas rock physics study gives an idea about N/G ratio, seismic properties of reservoir rock, fluid discrimination etc. Moreover, AVO modeling and acoustic impedance inversion are helped to know the real condition of reservoir rocks and fluids. These techniques which used in this book, should help to exploration in exhumed (uplift and erosion) basin, should be useful in reservoir monitoring or anyone who want to know these techniques.

A fast magnetic resonance images (MRI) reconstruction algorithm taking advantage of the prevailing general purpose graphics processing unit (GPGPU) programming paradigm is experimented in this book. In a number of medical imaging modalities, the Fast Fourier Transform (FFT) is being used for the reconstruction of images from acquired raw data.The objective is to develop an algorithm to run under CPU and also in GPU for the reconstruction by performing the Fast Fourier Transform (FFT) as well as Inverse Fourier Transformation (IFT) in much faster way. The algorithm is developed in MATLAB environment. The CUFFT library is used to run under device to study the improved performance of reconstructions. GPUMat is used to running CUDA code in MATLAB. This book exercises the acceleration of MRI reconstruction algorithm on NVIDIA's GeForce G 103M based GPU and Intel Core 2 Duo based CPU. Experimental FFT based reconstruction algorithm shows that GPU based MRI reconstruction achieved significant speedup compared to the CPUs for medical applications at a cheaper cost. The runtime for GPU shows that real-time MRI reconstruction will be possible.