Based On Wavelet Transform Of Seismic Coherence Technology In The Turbidite Fan Recognition

With the oil-gas exploration entering into the high exploration degree stage, the goal of oil-gas exploration changes gradually from the formation lithology oil deposit to the structural oil pool. The people realized profoundly that turbidite fan sand body and the advantageous combined condition of source-reservoir-seal assemblage become one of most potential exploration goals of oil field. With the thorough development of sedimentary basin oil-gas exploration, although lacustrine turbidite reservoir in these oil field is not the main oil gas production level, turbidite oil-gas reservoir exploration still has the vital practical meaning for Chinese the muddy product crag oil gas pool's exploration regarding Chinese oil exploration, will be the oil-gas exploration goal which worth pay attention to.Using seismic attribute analysis technology,we can extract many kinds of useful information hidden in the seismic data,which also provides practical analysis method for the complex geologic body's reservoir description.With oil-gas exploration becoming mature, lithologic reservoir gradually becomes the main exploration goal, and occupies the dominant position in the oil field production.Based on the understanding of the coherence technique principle and the wavelet transformation, this dissertation combining the wavelet transformation and the earthquake coherent attribute analysis technique, proposed that using the wavelet function of simulative seismic wavelet (or high resolution derivative wavelet function) made the wavelet transformation to the primitive three dimensional earthquake record body, obtained the respective channel's earthquake record body of different resolution,and then use the coherent algorithm based on feature structure separately on three dimensional earthquake record body the different resolution.Through choosing the suitable wavelet parameter and the coherent processing parameter for different quality's seismic data, the new algorithm can obtain the coherent bodies of different channel's. Making the slice to the coherent bodies can obtain the different channel's slice image. which can enhance the explanation precision, achieve the geologic anomaly body's fine explanation, and enable the clear demonstration of the different level geologic anomaly body.The research results of this dissertation are summarized as follows:1. This paper combining the wavelet transformation and the earthquake coherent attribute analysis technique, through choosing the wavelet center frequency parameter, scale factor, the optimal wavelet function, we use wavelet territory frequency division method compute the earthquake data instantaneous characteristic parameter of each frequency band, and use the algorithm to calculate the earthquake coherent data body in each frequency band, then achieve the new algorithm of turbidite fan earthquake recognization.2. Will be the new algorithm is applied to actual seismic data interpretation, on the QHD34-2-1 well and QHD34-4-1 wells with well section of Coherence. Profile can be seen from the layer located at the bottom of the lake SB32 turbidite fan environment in which sand mud area with deep reflection characteristics of the main morphological wedge, lens, etc.; internal reflection structure parallel - sub parallel, the strong amplitude, low frequency, reflecting a more continuous, in breaking off the tank lying areas vaginal discharge, usually trough-like filling reflection can be seen, reflecting the fan in the watercourses have cut deep feature3. Finally, the new algorithm in the study area east Erduan for plane recognition, advantages and disadvantages compared with traditional methods. Demonstrates the new algorithm in identification of rock characteristics and structural interpretation is consistent, confirmed the structural interpretation is reasonable. Proved that the new algorithm.