
ESTIMATION OF STRUCTURAL IMAGING UNCERTAINTYSPATIAL DISTRIBUTION
Author(s) -
A. A. Kurkin
Publication year - 2016
Publication title -
izvestiâ vysših učebnyh zavedenij. neftʹ i gaz
Language(s) - English
Resource type - Journals
ISSN - 0445-0108
DOI - 10.31660/0445-0108-2016-1-15-20
Subject(s) - convergence (economics) , standard deviation , closure (psychology) , estimation , kinematics , distribution (mathematics) , mathematics , algorithm , computer science , geology , statistics , mathematical analysis , physics , engineering , market economy , classical mechanics , economics , economic growth , systems engineering
In this work a method is proposed for estimation of spatial distribution of predicted structural uncertainty.This estimation is made by a deterministic way during the analysis of internal convergence of the seismic method data. The errors in determination of kinematic parameters, namely time and velocity, are estimated. The estimates of external convergence of seismic data with drilling data are taken into account. As a result, a map of standard deviation of structural imaging is calculated which then is used to construct a map of a structural closure probability (risk).