Data for: Optimization of Models for a Rapid Identification of Lithology While Drilling - A Win-Win Strategy Based on Machine Learning
| Main Author: | Sun, Jian |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/cd6fkdfyf5 |
| ctrlnum |
0.17632-cd6fkdfyf5.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Sun, Jian</creator><title>Data for: Optimization of Models for a Rapid Identification of Lithology While Drilling - A Win-Win Strategy Based on Machine Learning</title><publisher>Mendeley</publisher><description>There are 3345 groups training data which come from conventional wireline logging of Yan'an gas field and 3345 groups test data which come from logging while drilling of Yan'an gas field in the data file.</description><subject>Petroleum Engineering</subject><subject>Well Logging</subject><type>Other:Dataset</type><identifier>10.17632/cd6fkdfyf5.1</identifier><rights>Attribution-NonCommercial 3.0 Unported</rights><rights>https://creativecommons.org/licenses/by-nc/3.0</rights><relation>https:/data.mendeley.com/datasets/cd6fkdfyf5</relation><date>2019-01-28T18:19:02Z</date><date>2019-04-16T00:00:00Z</date><recordID>0.17632-cd6fkdfyf5.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Sun, Jian |
| title |
Data for: Optimization of Models for a Rapid Identification of Lithology While Drilling - A Win-Win Strategy Based on Machine Learning |
| publisher |
Mendeley |
| publishDate |
2019 |
| topic |
Petroleum Engineering Well Logging |
| url |
https:/data.mendeley.com/datasets/cd6fkdfyf5 |
| contents |
There are 3345 groups training data which come from conventional wireline logging of Yan'an gas field and 3345 groups test data which come from logging while drilling of Yan'an gas field in the data file. |
| id |
IOS7969.0.17632-cd6fkdfyf5.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:33:55Z |
| last_indexed |
2020-04-08T08:33:55Z |
| recordtype |
dc |
| _version_ |
1686587853899825152 |
| score |
17.538404 |