We propose a novel linked-view multivariate volume exploration and visualization system that facilitates feature exploration and extraction for highly complex datasets. Through three interaction stages, namely: data probing, qualitative analysis and feature refinement, the user is able to locate and extract features from complex multivariate datasets. Unlike previous linked-view systems, our pr...

geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...

his paper, the first of two that summarize remote sensing as applied to petroleum exploration, provides an overview of the science and the computer techniques used to process the data. The second (to be published in TLE’s May issue) will describe successful oil-exploration projects that employed remote-sensing technology. The examples are from projects by colleagues and myself at Chevron, from ...

We propose a novel sparsity model for distributed compressed sensing in the multiple measurement vectors (MMV) setting. Our extends concept of row-sparsity to allow more general types structured arising variety applications like, e.g., seismic exploration and non-destructive testing. To reconstruct data from observed measurements, we derive non-convex but well-conditioned LASSO-type functional....

We consider the problem of estimating the properties of an oil reservoir, like porosity and sand thickness, in an exploration scenario where only a few wells have been drilled. We use gamma ray records measured directly from the wells as well as seismic traces recorded around the wells. To model the association between the soil properties and the signals, we fit a linear regression model. Addit...

Source direction of arrival (DOA) estimation is one of the challenging problems in a variety of applications, such as communications, radar, sonar, and seismic exploration. Several methods based on maximum likelihood (ML) criteria has been established in literature. Generally, to obtain the exact ML (EML) solutions, the DOAs must be estimated by optimizing a complicated nonlinear multimodal fun...

Quantitative risk analysis (QRA) of industrial facilities has to take into account multiple hazards threatening critical equipment. Nevertheless, engineering procedures able to evaluate quantitatively the effect of seismic action are not well established. Indeed, relevant industrial accidents may be triggered by loss of containment following ground shaking or other relevant natural hazards, eit...

Seismic hazard assessment for the construction of earthquake-resistant buildings, in particular of critical facilities, in France follows traditionally a deterministic approach. The aim of the French Working Group EPAS (Evaluation Probabiliste de l’Aléa Sismique / Probabilistic Seismic Hazard Assessment), under the aegis of the AFPS (Association Française de Génie Parasismique / French Associat...

The Spectral decomposition of seismic data was incepted earlier in the second half of the 19th century, howeverlimited research work has been done in this filed because of lack of availability of advancetools/ techniques for analysis of transient signal like earthquake time historyrecords. Although, there are several conventional techniques like Fourier Transform (FT),Fourier Series (FS)that ar...