Correlation analysis of statistical facies fault models

2017

Closed access Metadata (CSL-JSON)
DOI 10.1134/s1028334x17040249
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This paper addresses seismic imaging of fault zones and analysis of the seismic data with the use of the fault facies model developed at Uni Research CIPR. Simulated and ideal seismic images were produced to generate a statistical ensemble of realizations of this model. The comparative analysis presented in this paper is focused on the statistical characteristics of the initial geological model and its seismic images. This paper analyzes cross-correlations between seismic images and ideal seismic images. The method proposed makes it possible to establish an exact correspondence between the initial fault facies models and the seismic images of these models.