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Systematic-Model Approach to the Design and Test Generation Algorithms for Quantitative Interpretation of Logging Data and CoreNormal access

Author: B.N. Enikeev
Event name: Saint Petersburg 2018
Session: Well Logging
Publication date: 09 April 2018
DOI: 10.3997/2214-4609.201800255
Organisations: EAGE
Language: Russian
Info: Extended abstract, PDF ( 1.13Mb )
Price: € 20

The report discusses the problems of automation test preparation (synthetic log data) is necessary for the objectification of the quality of algorithms for quantitative interpretation of logging data including petrophysical inversion. As a significant element in the construction of such tests is considered using a Markov chain with given probabilities of transition between the lithotypes and the use of libraries petrophysical relationship and their constants (including different for three lithotypes). Considered problematic issues of realization (alternative options for the structure and composition of the libraries petrophysical relationships), examples of the generated tests and the comparison of performance on tests of different algorithms quantitative interpretation

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