An identification method for thin shale gas reservoirs based on the high-frequency recovery technology in frequency domain: A case study from deep shale gas in the Luzhou area of the Sichuan Basin

被引:0
作者
Kang K. [1 ]
Yang W. [1 ]
Li W. [1 ]
Li H. [1 ]
Wang M. [1 ]
Lyu K. [2 ]
机构
[1] Southwest Geophysical Research Institute of BGP Inc., CNPC, Sichuan, Chengdu
[2] No.1 Gas Production Plant, Sinopec Southwest Oil & Gas Company, Sichuan, Chengdu
关键词
Attribute extraction; Box drilling ratio; Deep shale gas; Fracture prediction; High-frequency recovery technology; Horizontal well; Reservoir prediction; Sichuan Basin; Thin reservoir identification;
D O I
10.3787/j.issn.1000-0976.2022.10.005
中图分类号
学科分类号
摘要
At present, the Sichuan Basin is the main battlefield of shale gas exploration and development in China, and the national shale gas production in 2021 is up to 230×108 m3. The deep shale gas reservoirs in the Sichuan Basin are thin, so horizontal wells often run out of the golden boxes (3–5 m) in the process of drilling. In order to solve this problem and improve the high-quality reservoir drilling ratio of horizontal well, this paper takes the deep shale gas in Luzhou area of the Sichuan Basin as an example to decompose the seismic signal in the effective frequency band into fundamental frequency signal by virtue of wavelet transform, based on the high-frequency recovery technology in frequency domain. Then, the harmonics and sub-harmonics of each fundamental wave are calculated according to the harmonic criterion and added back into the original wavelet coefficients to perform the wavelet inverse transform, so as to achieve the high and low frequency recovery of the missing signal. And the following research results are obtained. First, the high-resolution processing method based on harmonic imaging can double the bandwidth while keeping the low-frequency amplitude information and the phase of the marker layer unchanged, so as to maintain the fidelity and amplitude, which is favorable for the identification of thin shale layers. Second, in the reservoir prediction based on the high-resolution seismic data, the vertical resolution is increased from 30 m to about 10 m, which provides support for horizontal well location deployment and well trajectory design. Third, using high-resolution processing results to track and guide horizontal well drilling while drilling can better predict micro fractures and lay a foundation for preventing drilling accidents and improving the drilling ratio of high-quality reservoirs. In conclusion, the theoretical numerical experiment and the actual data processing verify the reliability and scientificalness of this technology. The coincidence rate of the fracture prediction result by this new method to the actual drilling data is more than 90%, and the box drilling ratio reaches 90%. It is indicated that this method ensures the high-quality reservoir drilling ratio of horizontal wells and has a wider application value. © 2022 Natural Gas Industry Journal Agency. All rights reserved.
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页码:54 / 62
页数:8
相关论文
共 25 条
  • [1] ZHANG Jinchuan, NIE Haikuan, XU Bo, Et al., Geological condition of shale gas accumulation in Sichuan Basin, Natural Gas Industry, 28, 2, pp. 151-156, (2008)
  • [2] WU Yuexian, ZHONG Shuiqing, XU Yonggao, Et al., Present condition of horizontal well technique strength and its development trend in China, Oil Field Equipment, 37, 3, pp. 33-36, (2008)
  • [3] WANG Zhigang, Practice and cognition of shale gas horizontal well fracturing stimulation in Jiaoshiba of Fuling area, Oil & Gas Geology, 35, 3, pp. 425-430, (2014)
  • [4] ZENG Fanhui, GUO Jianchun, XU Yanbo, Et al., Factors affecting production capacity of fractured horizontal wells, Petroleum Exploration and Development, 34, 4, pp. 474-477, (2007)
  • [5] MA Xinhua, XIE Jun, The progress and prospects of shale gas exploration and exploitation in southern Sichuan Basin, NW China, Petroleum Exploration and Development, 45, 1, pp. 161-169, (2018)
  • [6] FENG Caili, LEI Gang, ZHOU Yongjian, Et al., Drilling speed increase technology practice of Hanjiadian to Shiniulan Formation in Changning Block, Chemical Engineering Design Communications, 44, 3, (2018)
  • [7] WANG Tong, ZHANG Keyin, XIONG Liang, Et al., Paleogeomorphology restoration of Wufeng Formation-Lower Member of Longmaxi Formation in Zigong area of Sichuan Province and its oil and gas significance, Petroleum Geology and Experiment, 40, 6, pp. 764-770, (2018)
  • [8] MARFURT K J, KIRLIN R L., Narrow-band spectral analysis and thin-bed tuning, Geophysics, 66, 4, pp. 1274-1283, (2001)
  • [9] PORTNIAGUINE O, CASTAGNA J., Inverse spectral decomposition, SEG Technical Program Expanded Abstracts 2004, pp. 1786-1789, (2004)
  • [10] LIU Jianlei, WU Yafei, HAN Dehua, Et al., Time-frequency decomposition based on Ricker wavelet, SEG Technical Program Expanded Abstracts 2004, pp. 1937-1940, (2004)