Reservoir Prediction
Unique technologyof
sparse reflection coefficient inversion of the basis pursuit denoising method
Technical Features
The seismic convolution model shows that the seismic signal is convoluted by time direction reflection coefficient and wavelet;
Thin layer interference harmonic phenomenon: the composite reflection of thin layer has clear and periodic harmonic oscillation in the frequency domain.
Building a multi-layer reflection coefficient pair with its odd & even reflection coefficient decomposition and corresponds to the real part and imaginary part of the frequency domain of the seismic signal, then the sparse transformation of the seismic signal could be realized;
After the L1 norm objective function is established, using the basis tracking denoising method to inverse the sparse solution, that is, to obtain the stratum reflection coefficient.
To add the high-frequency component in the low-frequency form of the original wavelet, and then convoluted with the reflection coefficient so as to obtain high-resolution data.
Technological Value
After reprocessing, the imaging was significantly improved
Unique technologyof
phase controlled geostatistical inversion under the condition of low-frequency trend constraints;
Technical Features
It solves the problem of difficult distinguishing the seismic response between the reservoir and the abnormal lithology stripe due to the impedance superposition in the development section of argillaceous or siliceous strip. It can accurately invert the information of reservoir physical properties under the lithology background.
Technological Value
Eliminating the influence of mud on reservoir inversion
Unique technologyof
multi scale fracture prediction technology
Technical Features
As for the different scale fractures, focus on different dominant frequency bands by using frequency division focusing process and describe the fractures by using curvature, coherence, variance and other attributes.
Attribute anisotropy simulation is using the wide azimuth data to analyze the changes of amplitude, frequency, relative impedance and other attributes with azimuth to predict the strength and direction of the fracture;
Anisotropic inversion obtains P-wave and S-wave anisotropic elastomers by using the dilution pulse inversion of wide azimuth data and then the strength and direction of the fracture are obtained through nonlinear inversion.
Technological Value
Due to the enhancement processing of the frequency division focusing fault, it improves the ability to identify the fault and improves the interpretation accuracy as well.