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Image processing of seismic data and inversion technology research

Author: WangZhengGuo
Tutor: TanGuoZhen；ZhangWenPo
School: Dalian University of Technology
Course: Applied Computer Technology
Keywords: Seismic data Image processing Lithology parameters Inversion Model
CLC: TP391.41
Type: Master's thesis
Year: 2002
Downloads: 263
Quote: 2
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Abstract


Seismic data image processing technology is a technology edge, it is the combination of data processing and image processing, geophysical research has far-reaching impact, and years of successful experience has shown that the horizontal stacking is an effective means to improve the signal-to-noise ratio . Directly affect the resolution and the signal-to-noise ratio. NMO correction and static correction impossible no error image with superimposed signal enhancement and other key technology of image processing has been widely used in seismic data processing, using a variety of denoising means reasonably improve letter noise spectrum is to improve the accuracy, broadening the key to effective frequency band. Retrieval of lithological parameters inversion studies can more accurately while anti-performance speed, density, and impedance section, thus has broad application prospects. This article by experimental means, characteristics of Liaohe data to existing Omega processing software as the basis of study of the high-resolution image processing technology. Its specific contents include: (1) to improve the signal-to-noise ratio treatment research. (2), in-phase superposition approach. (3), to broaden the band Method. , Developed a set of to too well logging data for a constraint condition, using the interpreted lithology model, within a reasonable range of parameter change, by repeatedly modify the initial model, so that the model and software engineering methods synthetic record with the best fit of the actual earthquake records, thereby obtaining a higher resolution stratigraphic model of software modules. Has the following significant advantages: (1) based lithology initial model for his basic constraints, the lithological parameters inversion results are restricted within a reasonable range of the data in the seismic data to enhance the understanding of the stability. (2) The breakdown of the initial model made certain compensation layer corresponds to the high frequency component of seismic data inversion on the basis of the information band range broadening, and increase the amount of information, so that the lithologic parameters. (3) multi-channel processing technology, the suppression of random noise, and enhance the understanding of the anti-interference ability. (4) iteration is always moving in the direction of reduced root mean square error, to ensure the stability of the solution. (5) lithology inversion of the higher resolution of the profile, but layering is relatively poor. (6) The density profile can reflect the differences of the sandstone and mudstone, and provides a new means of density inversion for lithology prediction and reservoir prediction. So far, lithology parameters inversion in production has not been widely used, this method requires further examination in practical applications.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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