High resolution ratio non-linear reservoir properties inversion method

Abstract

This invention disclose a kind of high resolution nonlinear reservoir object inversion method, uses a kind of nonlinear reservoir lithologic object convolution module to build the function relation of wave impedance and porosity/ argillaceous content; describes the physical relation of complex rock by analyzing multilevel structure and determining two-way edge wavelet; realizes the combination of the certainty inversion, statistic inversion and nonlinear theoretics; then realizes the high resolution reservoir object parameter inversion of composite geology, well logging and earthquake wave impedance information base on both inverse operator inversion and positive operator reconstructed algorithm, gets high resolution reservoir object cross section (such as porosity, argillaceous content).

Description

technical field [0001] The invention belongs to the field of petroleum exploration, and relates to an oil and gas reservoir prediction technology, in particular to a high-resolution nonlinear reservoir physical property 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 physical properties, scattered distribution of effective reservoirs, complex petrophysical relationships, and weak reservoir lithology c...

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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, comprehensive geological, petrophysical, logging and seismic data for lithology and physical property prediction, forming a method for predicting reservoir physical properties under the conditions of complex sedimentary environment and complex petrophysical relationship

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