In some cases, the variations in the subsurface rock property with time can be observed during fluid flow process because of changes in stress, pore pressure, temperature, degree of consolidation, and fluid content. Detecting these changes via their influence on the in situ elastic properties serves as the basis for timelapse monitoring. Acquisition and processing of high-fidelity time-lapse se...

Attributes remain to be of the utmost importance for the characterization of seismic data. Especially in the scale-range where tuning effects play, the understanding of what is happening, and the subsequent technology to extract the proper attributes from the huge seismic data-volumes remains current. This study starts with the analysis of a set of typical petrophysical log shapes. These log sh...

The aim of this article is to investigate a possible way to improve ambient noise tomography by expanding the data base of useful cross-correlation measurements. We show that the curvelet transform makes it possible to compute synthetic noise correlations by simulating directly seismic ambient noise using the spectral element method. These synthetic correlations can in turn be used to identify ...

This paper proposes a method for the prediction of pore size values in hydrocarbon reservoirs using 3D seismic data. To this end, an actual carbonate oil field in the south-western part ofIranwas selected. Taking real geological conditions into account, different models of reservoir were constructed for a range of viable pore size values.  Seismic surveying was performed next on these models. F...

High-precision modeling of seismic-wave propagation in heterogeneous media is very important to seismological investigation. However, such modeling is one of the difficult problems in the seismological research fields. For developingmethods of seismic inversion and high-resolution seismic-wave imaging, the modeling problem must be solved as perfectly as possible. Moreover, for long-term computa...

This paper investigates the utility of computing Time-Domain Green’s Functions (TDGF) to be used for estimating velocity and attenuation structure for the purposes of nuclear explosion monitoring over local and near-regional distances. Our objective is to extend and apply the methodology of deriving TDGF for propagation between two receivers by cross correlation of seismic noise and/or coda of ...

Seismic data comprise many traces that provide a spatiotemporal sampling of the reflected wavefield. However, such informationmay suffer from ambient and random noise during acquisition, which could possibly limit the use of seismic data in reservoir locating. Traditionally, fixed transforms are used to separate the noise from the data by exploiting their different characteristics in a transfor...

Periodic noise is a well-known problem in seismic exploration, caused by power lines, pump jacks, engine operation, or other interferences. It contaminates data and affects subsequent processing interpretation. The conventional methods to attenuate periodic are notch filtering some model-based methods. However, these either simultaneously events around the same frequencies, need expensive compu...

1 Robust Singular Spectrum Analysis for Erratic Noise Attenuation Ke Chen*, University of Alberta, Edmonton, Canada [email protected] and Mauricio D. Sacchi, University of Alberta, Edmonton, Canada [email protected] Summary The Singular Spectrum Analysis (SSA) method, also known as Cadzow filtering, adopts the truncated singular value decomposition (TSVD) or fast approximations to TSVD for rank...

Seismic signal processing is an important task in geophysics sounding and represents a permanent challenge in petroleum exploration. Although seismograms could in principle give us a picture of a geological structure, they are very contaminated by spurious signals and the ground roll noise is a strongly undesired signal present in the seismograms – it does not carry physical information about t...