张量曲率边界识别方法在煤田火烧区磁异常中的应用

doi:10.3981/j.issn.1000-7857.2014.31.011

Abstract
Figure/Table
References (0)
Related Citation (0)

Download: PDF (3893 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract: This paper introduces the curvature gradient tensor matrix (CGTM) method to identify the edge of burnt coal areas more accurately and to interpret the magnetic anomaly in more detail. The characteristics of CGTM of the magnetic anomaly in the burnt coal areas are discussed and analyzed. The characteristics indicate that the larger and smaller eigenvalues of CGTM can be used to identify the burnt coal areas and normal areas of the coalfield. In the model tests, the Theta map and vertical derivative edge detection methods were compared with the CGTM. The results demonstrate that the CGTM method is superior in edge detection of geological sources. The effectiveness of the method was also demonstrated. Finally, the method was applied to interpretation of the magnetic anomaly of Wuda coalfield. The results obtained by CGTM method had good agreement with other known geological data. It shows that the method could accurately and effectively identify the edge of coalfield fire areas and normal areas, and is useful for interpreting the magnetic anomaly of coal fire areas.

Key words： curvature gradient tensor matrix burnt area of coalfield magnetic anomaly edge detection

Received: 15 May 2014

ZTFLH:

P631.2+21

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	YAN Jianbo
	ZHOU Wenna

Cite this article:

YAN Jianbo,ZHOU Wenna. Application of Curvature Gradient Tensor Matrix in Magnetic Anomaly of Burnt Coal Area[J]. Science & Technology Review, 2014, 32(31): 75-79.

URL:

http://www.kjdb.org/EN/10.3981/j.issn.1000-7857.2014.31.011 OR http://www.kjdb.org/EN/Y2014/V32/I31/75

[1] 朱晓颖, 于长春, 熊盛青, 等. 磁法在煤火探测中的应用[J]. 物探与化探, 2007, 31(2): 115-119. Zhu Xiaoying, Yu Changchun, Xiong Shengqing, et al. The application of the magnetic method to the detection of under ground coal fires[J]. Geophysical & Geochemical Exploration, 2007, 31(2): 115-119.
[2] 董守华, 李志聃, 邵玉宏. 火烧区烧变岩多边形体△T 人机联作最优化反演[J]. 煤炭学报, 1996, 21(2): 124-127. Dong Shouhua, Li Zhidan, Shao Yuhong. Interactive inversion method for polygeonal body △T of the burnt rocks in a fire area[J]. Journal of China Coal Society, 1996, 21(2): 124-127.
[3] 陈敏, 邵伟. 应用地面磁法圈定煤田火区边界[J]. 物探与化探, 2010, 34(1): 89-92. Chen Min, Shao Wei. The application of the ground magnetic method to the exploration of fire area boundary of the coal field[J]. Geophysical & Geochemical Exploration, 2010, 34(1): 89-92.
[4] 李曼, 刘天佑. 煤田烧变岩非均匀磁化的二度半模型反演[J]. 煤田地质与勘探, 2006, 34(2): 67-69. Li Man, Liu Tianyou. Variable magnetization interactive inversion method by 2.5 D for burnt coal[J]. Coal Geology & Exploration, 2006, 34(2): 67-69.
[5] 吴晓瑞, 刘岩波, 高峰. 地面高精度磁测在划定煤田火烧区中的应用[J]. 中州煤炭, 2013(6): 62-64. Wu Xiaorui, Liu Yanbo, Gao Feng. Application of high precision ground magnetic survey in demarcation of burnt coal area[J]. Zhongzhou Coal, 2013(6): 62-64.
[6] 刘大为, 刘天佑, 董建华. 小波多尺度分析在煤田火烧区磁法探测中的应用[J]. 煤田地质与勘探, 2005, 33(6): 61-63. Liu Dawei, Liu Tianyou, Dong Jianhua. Application of wavelet multiscale analysis in magnetic prospecting of the burnt coal area[J]. Coal Geology & Explaration, 2005, 33(6): 61-63.
[7] Oruç B, Sertcelik I, Kafadar O, et al. Structural interpretation of the Erzurum Basin, eastern Turkey, using curvature gravity gradient tensor and gravity inversion of basement relief[J]. Journal of Applied Geophysics, 2013, 88: 105-113.
[8] Zhou W N, Du X J, Li J Y. The limitation of curvature gravity gradient tensor for edge detection and a method for overcoming it[J]. Journal of Applied Geophysics, 2013, 98: 237-242.
[9] Zhou W N, Li J Y. Semiautomatic interpretation of microgravity data from subsurface cavities using curvature gradient tensor matrix[J]. Near Surface Geophysics, 2014(12), DOI: 10.3997/1873-0604.2014021.