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AVO (amplitude versus offset) three-parameter inversion method based on particle swarm optimization

A particle swarm algorithm and three-parameter technology, applied in the field of petroleum geophysical exploration, can solve problems such as high cost, complex mathematical expressions, and difficult implementation, and achieve the effects of reducing dependence, strong anti-noise ability, and improving accuracy

Inactive Publication Date: 2015-04-29
CHINA PETROLEUM & CHEM CORP +1
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AI Technical Summary

Problems solved by technology

Due to the complex calculation and huge cost, these elastic wave nonlinear inversion methods are only relatively mature in theory, and have not been widely used in practice.
[0004] The mathematical expression of the Zoeppritz equation is relatively complicated, and it is not physically intuitive enough, so it is difficult to implement. If the approximate expression is used, the elastic wave inversion problem can be simplified and approximated as a problem that is easier to solve, that is, according to the change of the amplitude with the incident angle relationship, the seismic parameters of the rock are estimated from the actual seismic gather records

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  • AVO (amplitude versus offset) three-parameter inversion method based on particle swarm optimization
  • AVO (amplitude versus offset) three-parameter inversion method based on particle swarm optimization
  • AVO (amplitude versus offset) three-parameter inversion method based on particle swarm optimization

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Embodiment Construction

[0051] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0052] In the particle swarm algorithm system, the solution of each optimization problem can be imagined as a point in the n-dimensional search space, which is called a "particle" (Particle l e), and multiple particles coexist in the entire system and cooperate to optimize. Each particle flies at a certain speed in the search space, and this speed is dynamically adjusted according to its own flight experience and that of its companions. Each particle moves with the current optimal particle, and the global optimal solution is finally obtained through generation-by-generation search.

[0053] The mathematical description of the particle swarm optimization algorithm is as follows: Assuming an n-dimensional search space, the total number of particles in the space is m, the position of each particle represents a potential solution of the objective function, and their posit...

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Abstract

The invention provides an AVO (amplitude versus offset) three-parameter inversion method based on particle swarm optimization, and belongs to the field of geophysical prospecting for petroleum. The method comprises the following steps: (1) pre-stack gather data d(theta) are input; (2) a longitudinal wave reflection coefficient Rpp is obtained, and an error function E between convolution of the longitudinal wave reflection coefficient Rpp and a wavelet w(theta) and the pre-stack gather data d(theta) serves as an objective function; (3) particle swarm optimization is used for looking for a longitudinal wave speed, a transverse wave speed and a density which allow a value of the objective function to be minimum, and the longitudinal wave speed, the transverse wave speed and the density are the three parameters. The method reduces the dependence on an original model, improves the inversion precision and has high anti-noise capacity.

Description

technical field [0001] The invention belongs to the field of petroleum geophysical exploration, and in particular relates to an AVO three-parameter inversion method based on a particle swarm algorithm. The particle swarm algorithm is used to perform AVO inversion to obtain longitudinal wave velocity, shear wave velocity and density values. Background technique [0002] Reservoir lithology identification and fluid prediction using seismic data has always been the goal pursued by geophysicists. AVO analysis reveals the relationship between repeated observations of reflection amplitude variation and formation elastic parameters. AVO inversion is to estimate the properties of reservoir rocks and fluids and predict oil and gas by using the variation law of amplitude with offset, and it is an important way to extract lithological parameters hidden in seismic information. Ci (Zoeppritz) equations. [0003] AVO inversion can actually be regarded as a simplified form of elastic wave...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
Inventor 朱童陈蕾胡华锋周单
Owner CHINA PETROLEUM & CHEM CORP
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