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Mapping Local Singularities Using Magnetic Data to Investigate the Volcanic Rocks of the Qikou Depression, Dagang Oilfield, Eastern China : Volume 20, Issue 4 (12/07/2013)

By Chen, G.

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Book Id: WPLBN0003989710
Format Type: PDF Article :
File Size: Pages 11
Reproduction Date: 2015

Title: Mapping Local Singularities Using Magnetic Data to Investigate the Volcanic Rocks of the Qikou Depression, Dagang Oilfield, Eastern China : Volume 20, Issue 4 (12/07/2013)  
Author: Chen, G.
Volume: Vol. 20, Issue 4
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Cheng, Q., Liu, T., Yang, Y., & Chen, G. (2013). Mapping Local Singularities Using Magnetic Data to Investigate the Volcanic Rocks of the Qikou Depression, Dagang Oilfield, Eastern China : Volume 20, Issue 4 (12/07/2013). Retrieved from http://hawaiilibrary.net/


Description
Description: State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, 430074, China. The spatial structural characteristics of geological anomaly, including singularity and self-similarity, can be analysed using fractal or multifractal modelling. Here we apply the multifractal methods to potential fields to demonstrate that singularities can characterise geological bodies, including rock density and magnetic susceptibility. In addition to enhancing weak gravity and magnetic anomalies with respect to either strong or weak background levels, the local singularity index (α ≈ 2) can be used to delineate the edges of geological bodies. Two models were established to evaluate the effectiveness of mapping singularities for extracting weak anomalies and delineating edges of buried geological bodies. The Qikou depression of the Dagang oilfield in eastern China has been chosen as a study area for demonstrating the extraction of weak anomalies of volcanic rocks, using the singularity mapping technique to analyse complex magnetic anomalies caused by complex geological background. The results have shown that the singularities of magnetic data mapped in the paper are associated with buried volcanic rocks, which have been verified by both drilling and seismic survey, and the S–N and E–W faults in the region. The targets delineated for deeply seated faults and volcanic rocks in the Qikou depression should be further investigated for the potential application in undiscovered oil and gas reservoirs exploration.

Summary
Mapping local singularities using magnetic data to investigate the volcanic rocks of the Qikou depression, Dagang oilfield, eastern China

Excerpt
Agterberg, F. P.: Multifractals and geostatistics, J. Geochem. Explor., 122, 113–122, doi:10.1016/j.gexplo.2012.04.001, 2012.; Benzi, R., Paladin, G., Parisi, G., and Vulpiani, A.: On the multifractal nature of fully developed turbulence and chaotic systems, J. Phys. A-Math. Gen., 17, 3521, doi:10.1088/0305-4470/17/18/021, 1984.; Chen, J. G., Xiao, F., and Chang, T.: Gravity and magnetic anomaly separation based on bidimensional empirical mode decomposition, Earth Science – Journal of China University of Geoscience, 36, 327–335, 2011.; Chen, Z., Cheng, Q., Chen, J., and Xie, S.: A novel iterative approach for mapping local singularities from geochemical data, Nonlin. Processes Geophys., 14, 317–324, doi:10.5194/npg-14-317-2007, 2007.; Cheng, Q. M.: Fractal/multifractal modeling and spatial analysis, keynote lecture, in: Progress of the International Mathematical Geology Association Conference, edited by: Pawlowsky-Glahn, V., Barcelona, Spain, 22–27 September, 1, 57–72, 1997.; Cheng, Q. M.: Spatial self-similarity and geophysical and geochemical anomaly decomposition, Progress in Geophysics, 16, 8–17, 2001.; Cheng, Q. M.: Singularity-generalized self-similarity-fractal spectrum (3S) models, Earth Science – Journal of China University of Geoscience, 31, 337–348, 2006.; Cheng, Q. M.: Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China, Ore Geol. Rev., 32, 314–324, doi:10.1016/j.oregeorev.2006.10.002, 2007.; Cheng, Q. M.: Non-linear theory and power-law models for information integration and mineral resources quantitative assessments, Math. Geosci., 40, 503–532, doi:10.1007/s11004-008-9172-6, 2008.; Cheng, Q. M.: Singularity modeling of geo-anomalies and recognition of anomalies caused by buried sources, Earth Science – Journal of China University of Geoscience, 36, 307–316 2010.; Cheng, Q. M.: Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas, J. Geochem. Explor., 122, 55–70, doi:10.1016/j.gexplo.2012.07.007, 2012.; Cheng, Q. M. and Agterberg, F. P.: Singularity analysis of ore-mineral and toxic trace elements in stream sediments, Comput. Geosci., 35, 234–244, doi:10.1016/j.cageo.2008.02.034, 2009.; Cheng, Q. M. and Li, Q.: A fractal concentration-area method for assigning a color palette for image representation, Comput. Geosci., 28, 567–575, doi:10.1016/S0098-3004(01)00060-7, 2002.; Cheng, Q. M. and Zhao, P. D.: Singularity theories and methods for characterizing mineralization processes and mapping geo-anomalies for mineral deposit prediction, Geoscience Frontiers, 2, 67–79, doi:10.1016/j.gsf.2010.12.003, 2011.; Dimitriu, P., Scordilis, E., and Karacostas, V.: Multifractal analysis of the Arnea, Greece seismicity with potential implications for earthquake prediction, in: Natural Hazards, edited by: Papadopoulos, G. A., Murty , T., Venkatesh, S., and Blong, R., Springer, 277–295, 2000.; Godano, C., Alonzo, M., and Bottari, A.: Multifractal analysis of the spatial distribution of earthquakes in southern Italy, Geophys. J. Int., 125, 901–911, doi:10.1111/j.1365-246X.1996.tb06033.x, 1996.; Hirabayashi, T., Ito, K., and Yoshii, T.: Multifrac

 

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