Improve The Method Theory And The Applied Research Of Seismic Survey Resolution-deconvolution

The oil gas resources are society's industry food, is the national economy life. Along with our country economy swift development, to oil gas demand and date sharp increasing. As a result of our country's geologic structure characteristic, the shallow layer oil-gas field majority of already developed, the eastern oil-gas field already entered the stage which deep cuts looks thin. Along with oil-gas exploration's development, in our country on land, the deep formation rich oil gas resources were already developed, and already became the present oil-gas exploration the key point, is also the main domain which the next oil gas resources will replace. As a result of the seismic survey resolution's limit, the 4000m following oil-gas exploration development's effect is not the ideal very. Raises the seismic signal resolution is very meaningful in the lothological division and in the seismic horizon analysis aspect. The high resolution earthquake technology is carries on detail shooting in the structure complex area to determine the small scope structure, the minor fault and the surface structure effective measure. This has of the important meaning regarding our country present oil-gas field exploration, as a result of our country's geologic structure characteristic, seismic survey's high resolution processing has become one of the oil field exploration and development goals. Therefore, distinguishes the exploration to propose the program high.The seismic signal longitudinal resolution is refers to the seismic wavelet reflects the interference superimposition after the neighboring two geological contact surface, through two wavelet prominent peak energy can differentiate the smallest time difference or smallest thin layer thickness. Because the earthquake wave direction underground spreading process intermediate frequency ingredient weakens rapidly, therefore, the expansion or the enhancement seismic data's high-frequency component, expands the bandwidth is raises the earthquake resolution the key. Raises the earthquake resolution is one of earthquake data processing primary missions.The article introduced the resolution basic concept, the resolution classification as well as the influence resolution's factor, pointed out the signal-to-noise ratio is affects the resolution the immediate cause. Introduced emphatically the earthquake longitudinal resolution's significance and the influencing factor, have made the brief analysis summary to the earthquake high resolution processing research present situation. Is the deconvolution raises the earthquake resolution the content, introduced the earthquake convolution model, the seismic wavelet model, analyzed the deconvolution to enhance the earthquake resolution principle, typical deconvolution algorithm and flaw, Strong raises the resolution seismic survey the data acquisition is obtains the high resolution seismic data the foundation, the field data gathering quality quality direct relation seismic survey success or failure. Then has analyzed the data processing related step, and has made the comparison correspondingly.The deconvolution is one kind of signal restores the technology, is raises the seismic signal resolution the common method. The deconvolution algorithm has certain application scope, simultaneously also has its deficiencyThe article introduced raises the resolution the main method--The deconvolution, introduced with emphasis the surface uniform deconvolution and the predictive deconvolution, introduced their principle, the algorithm as well as realizes the process. As well as two kind of deconvolutions in enhance resolution aspect in each step comparison, if around the convolution band width contrast, autocorrelation function's contrast, the superimposition section plane's comparison, draws the conclusion finally, is enhancing the resolution aspect, the predictive deconvolution must surpass the surface uniform deconvolution.Finally, through two groups of survey line earthquake data's actual processing, confirms the conclusion which proposed.