Global Geology 2019, 22(2) 105-111 DOI:   10.3969/j.issn.1673-9736.2019.02.05  ISSN: 1673-9736 CN: 22-1371/P

Current Issue | Archive | Search                                                            [Print]   [Close]
Articles
Information and Service
This Article
Supporting info
PDF(974KB)
[HTML]
Reference
Service and feedback
Email this article to a colleague
Add to Bookshelf
Add to Citation Manager
Cite This Article
Email Alert
Keywords
CSAMT
constrained inversion
OCCAM
logging data
inversion accuracy
Authors
PubMed

Research and application on CSAMT constraint inversion

HE Rongqin1,2, YU Qingshui3, LI Jing1,2, SONG Erqiao1,2

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Key Laboratory of Applied Geophysics, Ministry of Land and Resources of PRC, Changchun 130026, China;
3. CPECC Northeast Electric Power Design Institute Co, Ltd, Changchun 130021, China

Abstract��

In this paper, according to the method of electrical constraint inversion, we can improve the accuracy of inversion interpretation using the constraint of electrical logging data in the inversion process, which is conducive to obtain more abundant geoelectric information. On the basis of the conventional OCCAM inversion algorithm, the model roughness in the objective function is improved, and the formula of the electrical constraint inversion iterative algorithm is derived in detail based on the modified objective function. Taking the geothermal exploration in Changbai Mountain area as an example, the measured CSAMT data are used as the resistivity model for inversion, and the electrical property is constrained by the actual data from wells drilled in the section. It can be found that the method of electrical constraint inversion can improve the accuracy of inversion interpretation and guide the development of constrained inversion methods in different ways.

Keywords�� CSAMT   constrained inversion   OCCAM   logging data   inversion accuracy  
Received 2018-10-16 Revised 2018-11-27 Online:  
DOI: 10.3969/j.issn.1673-9736.2019.02.05
Fund:Supported by projects of the National Natural Science Foundation of China (Nos. 41072038, 90814003) and China Geological Survey (Nos. 1212010070301, 1212321013019).
Corresponding Authors:
Email: yuqingshui@nepdi.net
About author:

References��
Similar articles

Copyright by Global Geology