Lithology classification of volcanic rocks based on conventional logging data of machine learning: A case study of the eastern depression of Liaohe oil field

The reservoirs in the eastern depression of Liaohe basin are formed by multistage igneous eruption. The lithofacies and lithology are complex, and the lithology is mainly intermediate and basic igneous rocks. Based on the integration of debris data of igneous rocks and logging data, this article sel...

Full description

Saved in:
Bibliographic Details
Published in:Open Geosciences 2021-10, Vol.13 (1), p.1245-1258
Main Authors: Wenhua, Wang, Zhuwen, Wang, Ruiyi, Han, Fanghui, Xu, Xinghua, Qi, Yitong, Cui
Format: Article
Language:English
Subjects:
Classification
igneous rock
Igneous rocks
Lithology
lithology classification
Logging
machine learning
Oil and gas fields
Volcanic rocks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The reservoirs in the eastern depression of Liaohe basin are formed by multistage igneous eruption. The lithofacies and lithology are complex, and the lithology is mainly intermediate and basic igneous rocks. Based on the integration of debris data of igneous rocks and logging data, this article selected 6,462 continuous logging data with complete cuttings data and five conventional logging curves (RLLD, AC, DEN, GR, and CNL) from four wells in the eastern depression of Liaohe basin as the training set. A variety of lithologic identification schemes based on support vector machine and random forest are established to classify the pure igneous strata and actual strata. By comparing the classification results with the identification data of core slice and debris slice, a practical lithologic classification scheme for igneous rocks in the eastern depression of Liaohe basin is obtained, and the classification accuracy reaches 97.46%.
ISSN:2391-5447
2391-5447
DOI:10.1515/geo-2020-0300