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Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms

Technical Report:

Abstract

In the paper present the results of the use of the neural network algorithms to find a function {Sigma}{sub a}=f(K, U, Th,...). The easily measurable parameters (K, U, Th concentrations, lithology) were used to estimate the thermal neutron absorption cross-section {Sigma}{sub a}, which is difficult to measure in the borehole conditions. This paper is suggesting a possible solution to the problem. This method may have an important application in the well-logging data treatment. (author). 6 refs, 9 tabs.
Authors:
Loskiewicz, J; Swakon, J [1] 
  1. Institute of Nuclear Physics, Cracow (Poland)
Publication Date:
Dec 31, 1992
Product Type:
Technical Report
Report Number:
INP-1607/AP; CONF-921102-
Reference Number:
SCA: 540211; PA: AIX-26:005271; EDB-95:009751; SN: 95001298928
Resource Relation:
Conference: Joint American Nuclear Society/European Nuclear Society (ANS/ENS) international meeting on fifty years of controlled nuclear chain reaction: past, present, and future,Chicago, IL (United States),15-20 Nov 1992; Other Information: PBD: 1992
Subject:
54 ENVIRONMENTAL SCIENCES; ROCKS; WELL LOGGING; THERMAL NEUTRONS; TOTAL CROSS SECTIONS; LITHOLOGY; NEURAL NETWORKS; NUMERICAL DATA; POTASSIUM; THORIUM; URANIUM; 540211; RADIOMETRIC TECHNIQUES
OSTI ID:
10102710
Research Organizations:
Institute of Nuclear Physics, Cracow (Poland)
Country of Origin:
Poland
Language:
English
Other Identifying Numbers:
Other: ON: DE95609766; TRN: PL9400588005271
Availability:
OSTI; NTIS; INIS
Submitting Site:
PLN
Size:
15 p.
Announcement Date:
Jan 10, 1995

Technical Report:

Citation Formats

Loskiewicz, J, and Swakon, J. Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms. Poland: N. p., 1992. Web.
Loskiewicz, J, & Swakon, J. Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms. Poland.
Loskiewicz, J, and Swakon, J. 1992. "Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms." Poland.
@misc{etde_10102710,
title = {Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms}
author = {Loskiewicz, J, and Swakon, J}
abstractNote = {In the paper present the results of the use of the neural network algorithms to find a function {Sigma}{sub a}=f(K, U, Th,...). The easily measurable parameters (K, U, Th concentrations, lithology) were used to estimate the thermal neutron absorption cross-section {Sigma}{sub a}, which is difficult to measure in the borehole conditions. This paper is suggesting a possible solution to the problem. This method may have an important application in the well-logging data treatment. (author). 6 refs, 9 tabs.}
place = {Poland}
year = {1992}
month = {Dec}
}