Seismic interpreters face an enormous challenge to ensure that the ever increasing amounts of data does result in improved exploration success and better recovery. Seismic data contains vast amounts of information and interpreters need to analyse a number of attributes of the data simultaneously to understand the behaviour of geological systems (Henderson, et al., 2008). A high level of cogniti...

Coherency cube” and fault detection technologies have evolved rapidly in recent years as important tools for seismic interpretation. The following paper, developed as a joint project between investigators at Memorial University and the University of Calgary, compares several of the fault detection methods for data from Hibernia field. The results, which are outlined in detail in the Memorial Un...

In order to produce an accurate depth migration of a seismic line, one needs an accurate velocity model. This model should reflect the lithology and lithostatic load that the rocks have experienced through burial and deformation. If we understand the geometry of these rocks, and their behaviour upon deformation, we can produce a more accurate velocity model. Performing palinspastic restoration ...

Paradigm shift in hydrocarbon exploration and development strategies has increased utilization of seismic data many fold for reservoir characterization. Complicated and nonlinear relationship between seismic attributes and reservoir properties has been addressed recently using artificial neural network techniques for lithofaices classification and prediction of reservoir properties through unsu...

Introduction: Understanding the origin and evolution of planets remains a major challenge since direct interrogation of planetary interiors other than Earth is either limited or not (yet) available. Seismic analyses provide the most detailed picture of present-day internal elastic structure and sources of seismic energy, but collecting seismic data represents a unique logistical challenge which...

Abstract Noise attenuation is a major seismic data processing concern. In seismic data, noise can appear as random, coherent and/or impulsive. Recently, many different techniques, ranging from relatively simple processes to extremely complex ones, have been used for noise attenuation. Image filtering techniques are relatively new methods in seismic exploration. We introduced the anisotropic non...

Ocean ambient noise results from both anthropogenic and natural sources. Different noise sources are dominant in each of 3 frequency bands: low (10 to 500 Hz), medium (500 Hz to 25 kHz) and high (>25 kHz). The low-frequency band is dominated by anthropogenic sources: primarily, commercial shipping and, secondarily, seismic exploration. Shipping and seismic sources contribute to ambient noise ac...

Random noise in seismic data affects the signal-to-noise ratio, obscures details, and complicates identification of useful information. We present a new method for reducing random, spike-like noise in seismic data. The method is based on a 1-D stationary median filter (MF) – the 1-D time-varying median filter (TVMF). We design a threshold value that controls the filter window according to chara...