Research And Application Of Spectral Inversion Method

With the deepening of petroleum exploration and development of seismic exploration work had not simply constructed exploration of the past, complex surface, complex structure, cracks, thin reservoir has become a focus of seismic exploration work, scientists are constantly looking for the feature and Improvement identifying low amplitude structure, carbonate reservoirs complex seismic exploration. In the complex reservoirs using conventional processing methods to explain the poor results, the need to improve the resolution of seismic data in order to more accurately find deeply buried reservoirs. Similarly, some of the remaining oil through the development of old oil fields also require high resolution seismic exploration technology to achieve the latter part of tapping the potential to provide technical guidance. Underground inversion actual case of the conventional seismic inversion and not the fine, in order to find the existence of some underground thin reservoir has not been found, it is necessary to adopt new inversion technique to change this status quo. Whereby the spectral inversion method is proposed.TLC inversion method can provide a theoretical basis for reservoir prediction, it can play a key role in seismic exploration. For thin Characteristics of domestic and foreign experts have been engaged. First, a thin layer of tuning effect was first proposed by Widess, and also studied the thin layer resolution. TLC reflectance spectrum inversion method is John P. Castagna and Partyka proposed and initiated this approach is different from the conventional seismic reflection coefficient inversion method, combining Widess wedge model, the reflection coefficient parity decomposition, invented a a new method, describes the reflection coefficient for improving the resolution of parity decomposition helpful. Many experts also conducted a spectral inversion study and discussion, summed up the problem and the practical application of the necessary conditions for this stage of spectral inversion techniques exist.Objective To study the spectral inversion technique mainly to improve the resolution of seismic data, improve the ability to identify a thin layer. So as to improve mining efficiency. Firstly, from the seismic resolution and cyclical characteristics of thin paper introduces the definition and resolution of cyclical factors and characteristics of the thin layer.Based on spectral inversion technique is evolved when the frequency spectral decomposition analysis, based on the article and the principle of spectral decomposition when party-frequency methods are described in detail, and several time-frequency analysis methods were compared. Then from the point of view of seismic recording convolution model describes the theoretical basis of spectral inversion.The objective function is derived spectral inversion and inversion of two parts technology. Article spectrum inversion objective function was derived calculus, then several nonlinear algorithm is briefly outlined, and then simulated annealing algorithm to be described in detail.Finally, through the use of real data to achieve a spectral inversion method in practical use of materials, and to achieve the desired effect. It laid the foundation for the later development of research block.