Logging data statistical property constraint-based wave impedance inversion particle swarm optimization algorithm
A particle swarm optimization and wave impedance inversion technology, which is applied in the field of geophysical exploration and can solve the problems of different foundations, limited frequency bandwidth, and inability to replace each other.
Active Publication Date: 2017-11-24
XI AN JIAOTONG UNIV
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Problems solved by technology
These algorithms have different principles and bases, and cannot replace each other.
However, the direct inversion of reflection coefficient by the traditional global optimization algorithm has problems such as multi-solution and low resolution. This is because the data we use for inversion is actual observation data, which has a limited bandwidth Subsurface geological structure and rock property information are broadband data, and these problems restrict the application of traditional global optimization algorithms in wave impedance inversion
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[0064] For verifying the correctness of the present invention, design following numerical simulation experiment:
[0065] The seismic wavelet is the Ricker wavelet of 40 Hz, the sampling interval is 1 millisecond, the reflection coefficient length is 100 points, and the distribution is a sparse distribution. Using the algorithm of the present invention, the result is as follows image 3 —8, image 3 Represents true reflection coefficients, seismic wavelets, and synthetic records.
[0066] Figure 4 is the real reflection coefficient compared with the reflection coefficient inverted using the present invention, the result shows that the inverted reflection coefficient is basically the same as the real reflection coefficient, and has the same sparse distribution; Figure 5 is the comparison of their probability densities, it can be seen that the two are relatively close; Image 6 It is the comparison of wave impedance between the two.
[0067] Figure 7 It is the comparison...
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The invention discloses a logging data statistical property constraint-based wave impedance inversion particle swarm optimization algorithm. The algorithm comprises the following steps that: 1) phase correction is performed on seismic data, so that the seismic data can be a zero-phase record; 2) a wavelet amplitude spectrum is extracted, and seismic wavelets are obtained; 3) analysis and statistics are performed on velocity information based on existing logging data in a data volume or section, so that a feasible region for performing inversion operation to obtain a reflection coefficient, namely, the search space of the reflection coefficient, is established; 4) the improved particle swarm optimization algorithm provided by the invention is adopted to perform inversion operation to obtain the reflection coefficient; and 5) wave impedance is calculated on the basis of the reflection coefficient which is obtained through inversion operation. According to the algorithm of the invention, the constraint information of probability distribution is added to the reflection coefficient so as to overcome the multiplicity of the solution of the inversion of the reflection coefficient and improve the resolution of the inversion result, and therefore, the invariance of the probability distribution of the reflection coefficient which is obtained through inversion operation can be ensured; the prior information of the probability distribution for the inversion operation is completely derived from the actual logging data, so that the credibility of the inversion result is ensured, and the multiplicity of the solution can be reduced.
Description
technical field [0001] The invention belongs to the field of geophysical exploration, and relates to a wave impedance inversion particle swarm optimization algorithm constrained by statistical characteristics of well logging data. Background technique [0002] With the deepening of oil and gas field exploration and development, oil and gas exploration objects are becoming more and more complex, gradually shifting from simple structural oil and gas reservoirs to complex structural oil and gas reservoirs, and from structural oil and gas reservoirs to stratigraphic-lithological and other subtle oil and gas reservoirs. How to describe complex structures and strata in detail? Lithology is a key issue facing oil and gas exploration in my country. [0003] Wave impedance is an important parameter to characterize formation lithology. It is like a bridge connecting geology and geophysics. By studying the wave impedance information, reservoir parameters such as lithology, porosity, pe...
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IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/6169G01V2210/6226
Inventor 高静怀张兵
Owner XI AN JIAOTONG UNIV