Comprehensive prediction of fractures distribution: A case study of Badaowan Formation of Baka Oilfield, Turban-Hami Basin, China
IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)
View Archive Info| Field | Value | |
| Title |
Comprehensive prediction of fractures distribution: A case study of Badaowan Formation of Baka Oilfield, Turban-Hami Basin, China
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| Creator |
Fan, Cunhui
Qin, Qirong Wang, Xiaolei Liu, Zhiyi |
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| Subject |
Fracture
Comprehensive Prediction Badaowan Formation Baka Oilfield |
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| Description |
2042-2048
Development of fractures have important influence on migration and accumulation of the hydrocarbon. Taking the Badaowan Formation of Baka Oilfield, Turban-Hami Basin as an example, Comprehensive prediction of fractures by weighting assessment was performed based on three fracture prediction method. Fractures are influenced by two tectonic movements. The main orientation of fractures lie in NWW (280°±10°), NNE (20°±10°) and NNW (330°±10°). Fractures of NWW and NNE are better validity because of its consistence or seam at small angles with present maximum principal stress, less filled degree and larger aperture. Comprehensive prediction of the fractures distribution shows that the fractures are mainly developed in Ke20~Ke23 well area, the high point of the footwall of the KEKEYA fault, Ke22 ~Ke19 well area, Ke34 well area, the area of south of Ke21,the area of west of Ke26, Ke32 well area and Ke24 well area. The comprehensive prediction technology effectively improves the accuracy and reliability of fracture distribution. |
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| Date |
2018-10-10T07:05:43Z
2018-10-10T07:05:43Z 2018-10 |
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| Type |
Article
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| Identifier |
0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/45157 |
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| Language |
en_US
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| Rights |
<img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>
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| Publisher |
NISCAIR-CSIR, India
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| Source |
IJMS Vol.47(10) [October 2018]
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