Proceedings of the 2015 International Forum on Energy, Environment Science and Materials

Shale Oil and Gas Well Logging Evaluation in Liaohe Depression

Authors
Kang Chen, Jinchuan Zhang, Xuan Tang
Corresponding Author
Kang Chen
Available Online September 2015.
DOI
https://doi.org/10.2991/ifeesm-15.2015.37How to use a DOI?
Keywords
Shale Oil and Gas, Well Logging Evaluation, Liaohe Depression, TOC
Abstract
Liaohe depression Paleogene shale has great potential in shale oil and gas exploration. Well logging technology is an effective means to evaluate shale oil and gas. The logging response characteristics of Paleogene shale were studied and the separation form of acoustictime and resistivity curves were classified. Thus, high quality shale was qualitatively and semi-quantitatively identified by types of curves separation form. Meanwhile, sedimentary environment of the formation of high quality shale was analyzed. By multivariate linear regression method, lgR technology was improved to calculate TOC(total organic carbon). The error of the calculated TOC is small, which indicate the improved formula has certain practicality in Liaohe depression.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2015 International Forum on Energy, Environment Science and Materials
Series
Advances in Engineering Research
Publication Date
September 2015
ISBN
978-94-6252-117-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifeesm-15.2015.37How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kang Chen
AU  - Jinchuan Zhang
AU  - Xuan Tang
PY  - 2015/09
DA  - 2015/09
TI  - Shale Oil and Gas Well Logging Evaluation in Liaohe Depression
BT  - Proceedings of the 2015 International Forum on Energy, Environment Science and Materials
PB  - Atlantis Press
SP  - 190
EP  - 194
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-15.2015.37
DO  - https://doi.org/10.2991/ifeesm-15.2015.37
ID  - Chen2015/09
ER  -