[1] The most common form of seismic exploration remains a nearly linear survey with data acquisition lines including the source and receivers. The interpretation of amplitude and waveform information for such linear acquisition requires consideration of 3D seismic wavefields. In many scenarios the structure is approximately 2D, but still modeling is needed for point sources. In recent years 2.5...

Unsupervised neural networks such as the Kohonen Self-Organizing Maps (SOM) have been widely used for searching natural clusters in multidimensional and massive data. One example where the data available for analysis can be extremely large is seismic interpretation for hydrocarbon exploration. In order to assist the interpreter in identifying characteristics of interest confined in the seismic ...

natural signals are continues, therefore, digitizing is an essential task enabling us to use computing tools to process them. according to the nyquist/shannon sampling theory, the sampling frequency must be at least twice the maximum frequency contained in the signal which is being sampled; otherwise, some high frequencies may be aliased and result in a bad reconstruction. the nyquist sampling ...

Seismic data are used in petroleum exploration to define geologic features in the subsurface. Recent advancements in seismic exploration have examined the effect of fluid and rock properties on seismic attributes. These advancements may provide improved reservoir characterization using techniques examined here. This is accomplished two parts; first, a study of fluid properties and their effect ...

Channels have always been important geologic features in the exploration for oil and gas. With 3-D seismic data they can often be mapped easily on time or depth slices. In other situations they can be difficult to detect, due to structural complexity or other factors. There are a number of image-processing algorithms that can be used to enhance linear features such as channels in 3-D seismic vo...

This paper introduces a novel method supporting the interactive exploration of volumetric subsurface data. To facilitate better insights into the datasets we propose the application of focus and context visualization metaphors. Using these metaphors users can emphasize arbitrary parts of a dataset or remove occluding information interactively to focus on the region of interest. In addition to t...

Interestingly, syntactic pattern recognition for seismic oil exploration that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel...

Computerized seismic prospecting is an echo-ranging technique usually targeted at accurate mapping of oil and gas reservoirs. In seismic surveys an impulsive source, often an explosive charge, located at the earth's surface generates elastic waves which propagate in the subsurface; these waves are scattered by the earth's geological discontinuities back to the surface, where an array of receive...

(c) 2015, SEG. This is an author produced version of the paper 'Beckwith, JA and Clark, R (2015) Estimating frequency-dependent attenuation quality factors in pre-stack surface seismic data. In: Schneider, RV, (ed.) SEG Technical Program Expanded Abstracts 2015. 2015 Society of Exploration Geophysicists Annual Meeting, 18-23 Oct 2015, New Orleans, USA. Society of Exploration Geophysicists , pp....

In areas of oil and gas exploration, seismic lines have been reported to alter the movement patterns of wolves (Canis lupus). We developed a mechanistic first passage time model, based on an anisotropic elliptic partial differential equation, and used this to explore how wolf movement responses to seismic lines influence the encounter rate of the wolves with their prey. The model was parametriz...