Fracture detection in oil-based drilling mud using a combination of borehole image and sonic logs
Fracture detection in oil-based drilling mud using a combination of borehole image and sonic logs
复制标题
结合钻孔图像和声波测井进行油基钻井泥浆裂缝检测
DOI:
10.1016/j.marpetgeo.2017.03.035
复制
发表时间:
2017-06
影响因子:
4.2
通讯作者:
Xiao Chengwen
中科院分区:
文献类型:
--
作者:
Lai Jin;Wang Guiwen;Fan Zhuoying;Wang Ziyuan;Chen Jing;Zhou Zhenglong;Wang Shuchen;Xiao Chengwen
The deeply buried (5.5–7.1 km) Lower Cretaceous Bashijiqike sandstones are important fractured reservoirs in the Kuqa depression. In these high temperature-high pressure drilling environments, oil-based muds are used to limit drilling risks and improve efficiency, making facture detection using resistivity-based image logs difficult. The maximum horizontal stress (SHmax) trends close to North-South(0–10°) based on orientations of the drilling-induced fractures and borehole breakouts. Core descriptions, thin sections and image logs used to describe the fractures in the Bashijiqike sandstone reservoirs show that opening-mode natural fractures are common, and the fractures range from fully open to sealed by calcite and clay minerals. The open fractures are dominantly steeply dipping or vertical and primarily strike north-south. Locally horizontal fractures or fractures with low angle dip are detected.We compare fracture visibility on image logs acquired in the same KS 2-2-12 key well in oil-based mud and water-based mud. FMI-HD logs successfully detect large (0.1 mm aperture) vertical fractures in oil-based mud better than OBMI image logs, and the two imaging tools have a similar ability in detecting the high dip angle fractures. Since the UBI tool is not affected by oil-based muds, most of the fractures can be picked out on UBI images. Minor negative deviations of bulk density could be observed in fractured zones, and the presence of fractures obviously causes an increase in sonic transit time. Full waveforms from DSI tools combined with electrical image logs detect fractured zones. Both the velocity and amplitude of the sonic waves are sensitive to fractures, and the fractured zones could be identified according to the attenuation of Stoneley waves. The combination of cores, image logs, and full-wave sonic logs offers comprehensive detection of fractures in oil-based mud environments.
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影响因子:
4.2
作者:
Xiaowen Guo;Keyu Liu;C. Jia;Yan Song;Mengjun Zhao;Q. Zhuo;Xuesong Lu
通讯作者:
Xiaowen Guo;Keyu Liu;C. Jia;Yan Song;Mengjun Zhao;Q. Zhuo;Xuesong Lu
影响因子:
3.5
作者:
M. Ameen;K. Macpherson;Maher Almarhoon;Z. Rahim
通讯作者:
M. Ameen;K. Macpherson;Maher Almarhoon;Z. Rahim
影响因子:
--
作者:
R. Plumb;S. Hickman
通讯作者:
R. Plumb;S. Hickman
影响因子:
2.9
作者:
X. Nie;C. Zou;L. Pan;Zhaohui Huang;Dongming Liu
通讯作者:
X. Nie;C. Zou;L. Pan;Zhaohui Huang;Dongming Liu
DOI:
--
发表时间:
2015
期刊:
--
影响因子:
--
作者:
Lai Ji
通讯作者:
Lai Ji