The Research on Encoding Methodology of the Character of Geological Entity Based on Mass Geological Data

Ping Yang; Lai Jun Lu

doi:10.4028/www.scientific.net/AMR.962-965.208

Paper Titles

The Broad Concept and Resource Calculation Method of Coalbed Methane
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The Definition of Apparent Resistivity in Magnetotelluric Sounding
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The Lithofacies Palaeogeography and Control of the Reservoirs in Middle Ordovician Ma5₄¹ Submember in Western Jingbian Tableland
p.193

The Relationships between Uranium Mineralization and Organic Matter in 373 Uranium Deposit
p.203

The Research on Encoding Methodology of the Character of Geological Entity Based on Mass Geological Data
p.208

The Studies on Gas-Bearing Characteristics of Deep Coal Seams in Yanchang Oil and Gas Province, China
p.213

The Study of Geophysical Inversion Based on the Differential Evolution in Mineral Exploration
p.217

The Study of Sedimentary Characteristics of the Fan Delta of Yingcheng Formation in Lishu Fault Depression
p.222

The Study of the Thrust Fault
p.230

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965The Research on Encoding Methodology of the...

The Research on Encoding Methodology of the Character of Geological Entity Based on Mass Geological Data

Abstract:

In the study of geological characteristics of digital, The original geological information come from different subjects and in different ways .The multiple heterogeneous causes that multivariate statistical analysis model depends on high-quality information encoding .This article discusses the information encoding of the qualitative geological data and puts forward a new encoding method which based on α tree structure. The method is characterized in following the geological spatial relationships and hierarchy principle. The error of the quantification theory IV model with this method is smaller and the approaching of spatial relations of geological unit is better. So it can be used in classification or prediction of geological unit (or variable).

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

208-212

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.208

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Online since:

June 2014

Authors:

Ping Yang*, Lai Jun Lu

Keywords:

Original Geological Information Encoding, Quantification Theory IV, α Tree Structure

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