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Optimized least square reverse time migration imaging method

A technology of reverse time migration imaging and least squares, which is applied in the field of signal processing, can solve problems such as limiting the application of LSRTM imaging methods, and achieve the effect of improving comprehensive computing efficiency and improving computing efficiency

Active Publication Date: 2020-12-25
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

However, one iteration of LSRTM imaging includes one reverse time migration imaging and one residual demigration process, that is, the time of one LSRTM imaging is 2.5 times that of conventional RTM imaging, and as the number of iterations The amount of calculation will increase exponentially, this problem seriously limits the application of LSRTM imaging method in actual seismic data processing

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  • Optimized least square reverse time migration imaging method
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Embodiment Construction

[0058] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0059] An optimized least squares reverse time migration imaging method of the present invention, such as figure 1 As shown, the specific steps are as follows:

[0060] Step 1. Using the wave equation to migrate and demigrate the seismic data;

[0061] Specifically follow the steps below:

[0062] Step 1.1, using the constant density acoustic wave equation to obtain the wave field recursion result;

[0063] Step 1.2, using the perturbation method to express the velocity model to obtain the demigration equation;

[0064] Step 1.3, the gun set d(x s ,x g ,t) is migrated through two finite difference simulations to realize migration and de-migration.

[0065] Step 1.1 is specifically:

[0066] through Among them, v is the velocity field, f is the source item, and u is the full wave field;

[0067] The second-order time-space 2N-order d...

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Abstract

The invention discloses an optimized least square reverse time migration imaging method. The method is specifically implemented according to the following steps of: step 1, performing migration and reverse migration on seismic data by adopting a wave equation; step 2, constructing a least square framework by adopting a conjugate gradient method, introducing an optimization factor, and increasing the convergence rate of the conjugate gradient method; and step 3, further improving the calculation efficiency of optimized LSRTM imaging by adopting a CUDA calculation architecture of a GPU. By adopting the optimized least square reverse time migration imaging method, the comprehensive calculation efficiency of an algorithm can be improved under the condition of keeping the same imaging precision, the comprehensive calculation efficiency is improved by 20% on average, thereby effectively verifying the optimized least square reverse time migration imaging method can better improve the calculation efficiency of a traditional least square reverse time migration imaging method.

Description

technical field [0001] The invention belongs to the technical field of signal processing and relates to an optimized least square reverse time migration imaging method. Background technique [0002] The core goal of seismic exploration is to describe oil and gas reservoirs as quantitatively and accurately as possible. The development of seismic wave imaging from positioning reflection (scattering) points to current estimation (angle) reflection coefficient is the core requirement of seismic exploration. With the continuous improvement of actual demand and the exhaustion of a large amount of resources, the demand for imaging of complex structures has increased sharply, and how to image more accurately and faster has become a research hotspot. However, the complex geological structure has the characteristics of irregular undulating surface, complex underground structure, and large amount of processed data, which brings great challenges to migration imaging. [0003] Least-Squ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/30G01V1/36
CPCG01V1/28G01V1/307G01V1/36G01V2210/51G01V2210/6161
Inventor 张晓丹刘东晓李涛翟雅文杜金祥朱磊崔琳
Owner XI'AN POLYTECHNIC UNIVERSITY
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