Dissertation > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration > Seismic exploration >

Research and Application of Fault Polygon Smoothing Method Based on ANN

Author LiMingJuan
Tutor TangShiWei
School Northeast University of Petroleum
Course Petroleum Engineering Computing Technology
Keywords artificial neural network fault polygon polygon extracting polygonsmoothing
CLC P631.44
Type Master's thesis
Year 2012
Downloads 15
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With the deepening development of the oil field exploration, it demands higher andhigher interpretation accuracy and shorter interpretation period for interpreting, so thedevelopment direction of seismic data interpretation technology is to realize automaticinterpretation on condition of high precision, therefore after extracting, the fault smoothing ismore and more important.At present many methods have been proposed in the fault polygon smooth field, but sofar there are still deficiencies for the related theory and method proposed, and in some casesthe effect is not very well, so it is hard to find a commonly adaptable fault polygon smoothingmethod. Artificial neural network is a borderline subject combined with computer science,information science and interaction of the formation of the development of physics. Thedigital image processing is a new and the most important one of the application in field ofartificial neural network at present.While graphics smooth is an application of the imageprocessing.Therefore, this paper designed a method which combined with artificial neuralnetwork and fault polygon smoothing technique to realize the high efficiency and highprecision after automatically smoothing.The paper first studied the general smoothing method for the image and curve and thetraditional polygon smoothing method, then compared the advantages and disadvantages ofeach method. Second, the artificial neural network model which is commonly used wasanalyzed, and the model is applied to fault polygon smooth, and have made an obvious effect.Lastly, according to the actual needs of the project it designed fault polygon automaticallysmoothing method based on artificial neural network, and the method is applied to faultpolygon smoothing and interpretation system.Using the system, it can smooth automaticallyfor blocks with complex fault distribution and noise, and extract fault polygon automatically,then save the output result.The practice proved that the result is smooth, continuous and is ofrich edge details.Today, it has completed the design of the fault polygon smooth andexplanation system.This system has been applied to the practical projects and achieved gooduse of effects, and using the system, the precision and efficiency of fault interpretation isimproved and the explanation cycle is shortened.

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