A Seismic Inversion Method Based on Hybrid Higher Order Fractional ATPV Sparse Regularization
A seismic inversion and fractional-order technology, which is applied in the fields of seismology, seismology, and seismic signal processing for logging records, can solve problems such as poor robustness, reduced resolution, and serious step effect of inversion results
Active Publication Date: 2021-01-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] In view of the problems of the above research, the purpose of the present invention is to provide a seismic inversion method based on mixed high-order fractional ATpV sparse regularization, which solves the problem of using first-order difference to find total variation in the prior art, which leads to the step effect of the inversion result Serious, resulting in reduced resolution and poor robustness
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0060] Acquire seismic data through geophones, including seismic records S, seismic wavelets w and logging data;
[0061] Preprocess the seismic record S to obtain the preprocessed seismic record S 0 , the preprocessing method is one or more of static correction, dynamic correction or stacking, etc. How to choose the processing method is based on the situation of the seismic record S, and the specific combination is often used by people in the field, and will not be described here elaborate;
[0062] For the preprocessed seismic records S 0 Extract the horizon information, the extracted horizon information S 0 Perform interpolation and filtering on the logging data to obtain the initial model AI of the parameters to be inverted 0 .
[0063] Based on the initial model of the parameters to be inverted and the recursive relationship between the parameters to be inverted and the logarithm of the wave impedance, the initial wave impedance logarithm L 0 , where the recursive re...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a seismic inversion method based on mixed high-order fractional ATpV sparse regularization, which belongs to the field of geophysical inversion and oil and gas reservoir prediction, and solves the existing problems caused by the use of first-order difference total variation. The invention extracts horizon information after preprocessing the seismic records, and obtains the initial model of the parameters to be inverted based on the logging data after extracting the horizon information; calculates the initial wave based on the initial model of the parameters to be inverted and the preprocessed seismic records Impedance logarithm, and then build a forward modeling model based on mixed high-order fractional ATpV sparse regularization; based on seismic records, seismic wavelets, combined with alternating direction multiplier method and forward modeling to update the initial wave impedance logarithm, the updated The wave impedance logarithm and the parameters used to update the next wave impedance logarithm; judge whether the values before and after the update meet the conditions, if so, update the next wave impedance logarithm, if not, obtain the parameters to be inverted. The invention is used for seismic inversion.
Description
technical field [0001] A seismic inversion method based on hybrid high-order fractional ATpV sparse regularization is used for seismic inversion and belongs to the field of geophysical inversion and oil and gas reservoir prediction. Background technique [0002] Seismic inversion is an important means of predicting oil and gas reservoirs. It is a process of establishing a forward modeling model based on the mathematical relationship between the detected seismic records and the physical quantities to be inverted, and using the optimization method to solve the forward modeling model. . Seismic inversion technology based on sparse regularization is an important method of seismic inversion. It introduces the sparse regularization constraint into the forward model, exploits the sparse information, and successfully improves the resolution and robustness of the inversion results. [0003] The seismic inversion method based on ATpV sparse regularization is an important method of s...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/50
CPCG01V1/50G01V2210/66
Inventor 吴昊彭真明何艳敏廖龙张天放曹思颖李美惠
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA