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Method for inversion of high resolution non-linear earthquake wave impedance

A high-resolution, nonlinear technology, applied in the field of petroleum exploration, which can solve the problems of extrapolation stability and ambiguity of petrophysical relations, and achieve the effect of inversion deterministic and statistical

Inactive Publication Date: 2008-06-25
符力耘 +1
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Problems solved by technology

[0003] The purpose of the present invention is to address the shortcomings of the existing seismic inversion technology for complex reservoirs, and focus on the core issues of seismic data in seismic inversion, such as limited bandwidth, resolution, extrapolation stability, and fuzzy petrophysical relationships, and jointly apply geophysical Deterministic theory, statistical theory and nonlinear theory, integrated geological, rock physics, logging and seismic data for seismic wave impedance prediction, forming a method for predicting reservoir seismic wave impedance under the conditions of complex sedimentary environment and complex rock physics relationship

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  • Method for inversion of high resolution non-linear earthquake wave impedance
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  • Method for inversion of high resolution non-linear earthquake wave impedance

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[0019] The present invention will be further described below with reference to the accompanying drawings and in conjunction with the embodiments.

[0020] The invention reconstructs the seismic antiwavelet from the angle of information theory. In order to enhance the anti-noise ability of the inversion, the conventional Robinson seismic convolution model is integrated into the non-traditional Caianiello convolutional neural network, and the self-affine nonlinear transformation is used in the Caianiello convolutional neural network to broaden the spectrum of seismic data, A neural network is used to iteratively modify the initial wave impedance model to achieve the best match between synthetic seismic records and seismic data.

[0021] figure 2 It shows the inversion process of the high-resolution nonlinear seismic wave impedance of the present invention, including the following steps:

[0022] 1) Calibrate the acoustic time difference curve and density curve of the known we...

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Abstract

The invention discloses a high-resolution nonlinear seismic wave impedance inversion method which includes the following steps: a Robinson seismic convolution model of nonlinear multi-level hierarchy is integrated into a non-common Caianiello convolution neural network, thereby unifying the two inversion modes of determinacy and statistical property; a definite relation is set up between impedance parameter and seismic response through the Robinson seismic convolution model and nonlinear self affine transformation, thereby realizing deterministic inversion; a statistical relation is set up between impedance parameter and seismic response through multilevel seismic wavelet / inverse wavelet and the Caianiello convolution neural network, thereby realizing statistical inversion; wave impedance estimation and correction are carried out through making combined use of direct and indirect inversion modes, and the result of direct inversion is taken as the initial value of indirect inversion; moreover, both inversion modes are used alternately; finally, combined full-frequency wave impedance section of high resolution is obtained by means of indirect inversion.

Description

technical field [0001] The invention belongs to the field of petroleum exploration, and relates to an oil-gas reservoir prediction technology, in particular to a high-resolution nonlinear seismic wave impedance inversion method. Background technique [0002] Long-term oil exploration practice shows that reservoir prediction technology is one of the key exploration technologies. The log broadband constrained inversion based on the linear deterministic theory once occupied the main position in the seismic inversion technology. With the continuous deepening of oil and gas exploration and the continuous improvement of the degree of exploration, the target of oil exploration has gradually shifted to complex subtle reservoirs. Reservoirs in these complex depositional environments are characterized by thin thickness, highly heterogeneous lithology, scattered distribution of effective reservoirs, complex petrophysical relationships, and weak reservoir lithology contrast. Many exis...

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Application Information

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IPC IPC(8): G01V1/40G01V1/28G01V1/36
Inventor 符力耘
Owner 符力耘