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Development and Validation of a Novel Interpretation Algorithm for Enhanced Resolution of Well Logging Signals
Author(s) -
Qiong Zhang,
Jean-Baptist Peyaud
Publication year - 2021
Publication title -
journal of sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.399
H-Index - 43
eISSN - 1687-7268
pISSN - 1687-725X
DOI - 10.1155/2021/6610806
Subject(s) - interpretation (philosophy) , logging , resolution (logic) , algorithm , computer science , high resolution , remote sensing , artificial intelligence , geology , forestry , geography , programming language
This work presents a novel algorithm that achieves enhanced resolution of well logging signals, e.g., from 1 ft of a pulsed neutron mineralogy tool to 0.04 ft of an imaging tool. The algorithm, denoted as “Digital Core,” combines mineralogical and sedimentological information to generate a high-resolution record of the formation mineralogy which can be consequently applied to thin bedded environments. The keystone to the philosophy of this algorithm is that the spectral information recorded by mineralogy tool is a weighted average of the mineralogy of each lithological component in the analyzed volume. Therefore, by using a high-resolution image log to determine the proportion of each lithological component, their composition can be determined from the mineralogy log data. A field case from a well located in South Australia is presented in this work, and the results validate the feasibility of an integrated core-level petrophysical analysis in a cost-effective and timely manner compared to conventional core measurements.

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