Research And Implementation Of Seismic Image Enhancement Based On Fussy Sets

With the development of industrialization, oil resources are fewer and fewer and exploration new oil fields become a top priority. Seismic exploration is an important means of surveying oil and natural gas resources before drilling. The clarity of the seismic image is directly related to seismic interpretation results. Therefore, the seismic image enhancement has become an important research topic.Mean filtering and median filtering methods,which are commonly used in seismic image enhancement, have a stronger ability to suppress noise, but to some extent, it will blur the seismic image and affect the seismic interpretation results. Histogram equalization is the primary means of seismic image enhancement, but there are some shortcomings of image detail information loss and noise amplification existing in it. With the increasing complexity of the object of oil and gas exploration, the current seismic image enhancement algorithms cannot satisfy the need of right interpretation. The image enhancement based on fuzzy sets have been gradually applied to the actual image processing, and shown that it is superior to the traditional image enhancement algorithm. Consequently, this thesis first proposes the seismic image enhancement method based on fuzzy sets.Firstly, in this thesis, the traditional Pal-King image enhancement algorithm based on fuzzy sets has been studied, and the development and improvement situation of Pal-King algorithm in the past 30 years has been summarized. On the basis of our predecessors, two improved algorithms are proposed in this thesis to overcome the shortcomings and deficiencies of the Pal-King algorithm, and Lena image is choose for simulation experiments. And the experiments results show that the enhancement effect of the improved algorithm indeed better than that of Pal-King algorithm. Secondly, data format of BMP image and a variety of color models have been studied in this paper, and on the basis of combination of HSI model and RGB model, a new color configuration, which is suitable for human visual features, has been worked out. Thirdly, in this thesis, combining the characteristics of seismic image, seismic image enhancement system based on fuzzy sets has been designed and developed and the new seismic image color configuration has been applied to the seismic attribute image and simulation experiments are carried out with the improved image enhancement algorithms based on fuzzy sets, which have been applied to ao9, shj, pu and other block in Daqing oil field. Experimental results show that the improved algorithms proposed in this thesis indeed acquire better enhancement effect than the traditional seismic image enhancement methods. It has laid a good foundation for seismic interpretation and has a great significance with ascertaining geological reserves, and is conducive to exploration and development of oil resources, and thus provides more and more energy support to accelerate the industrialization of our country.