Perceivers form strong inferences of disposition from others' facial appearance, and these inferences guide a wide variety of important behaviors. The current research examines the possibility that similar-looking individuals are more likely to form groups with one another. We do so by testing a necessary downstream consequence of this process, examining whether the faces of individuals within ...

The seismic response of geological reservoirs is a function the elastic properties porous rocks, which depends on rock types, petrophysical features, and environments. Such characteristics are generally classified into facies. We propose to use convolutional neural networks in Bayesian framework predict facies based data quantify uncertainty classification. A variational approach adopted approx...

With the increased size and complexity of seismic surveys, manual labeling facies has become a significant challenge. Application automatic methods for interpretation could significantly reduce labor subjectivity particular interpreter present in conventional methods. A recently emerged group techniques is based on deep neural networks. These approaches are data-driven require large labeled dat...

Prestack seismic data carries much useful information that can help us find more complex atypical reservoirs. Therefore, we are increasingly inclined to use prestack seismic data for seismic facies recognition. However, due to the inclusion of excessive redundancy, effective feature extraction from prestack seismic data becomes critical. In this paper, we consider seismic facies recognition bas...

This paper presents for the first time a detailed study on information content of X-band single-pass interferometric spaceborne SAR data with respect to snow facies characterization. An approach for classifying different snow facies of the Greenland Ice Sheet by exploiting X-band TanDEM-X interferometric synthetic aperture radar acquisitions is firstly detailed. Large-scale mosaics of radar bac...

The current study proposes a two-step approach for pore facies characterization in the carbonate reservoirs with an example from the Kangan and Dalanformations in the South Pars gas field. In the first step, pore facies were determined based on Mercury Injection Capillary Pressure (MICP) data incorporation with the Hierarchical Clustering Analysis (HCA) method. In the next step, polynomial meta...

Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis has been widely investigated through unsupervised-classification-based studies, there are few cases...

Turbidite systems are complex heterogeneous siliciclastic deposits calling for a new approach to geophysical and geostatistical reservoir characterization. The aim of this paper is to demonstrate the integration of seismic amplitude and rock physics data into realistic geological scenarios using a novel geostatistical approach. Avseth (2000, 2001 with others) presented an integrated rock physic...