Multi-wave matching method based on convolutional neural network

A convolutional neural network and matching method technology, applied in neural learning methods, biological neural network models, seismic signal processing, etc., can solve the problems of low accuracy, rough accuracy, and no significant progress in geological applications of full-wave attributes. , to achieve the effect of improving matching accuracy and efficiency and reducing workload
CN107607992AActive Publication Date: 2018-01-19UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
UNIV OF ELECTRONIC SCI & TECH OF CHINA
Publication Date
2018-01-19

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Abstract

The invention discloses a multi-wave matching method based on a convolutional neural network. The method includes the steps of pre-processing transverse wave and longitudinal wave data, dividing spacegrids on the basis of the transverse wave and longitudinal wave data according to preset steps, calculating grid point displacement of the space grids, merging the transverse wave and longitudinal wave data together and extracting feature vectors, training a convolutional neural network, processing the transverse wave and longitudinal wave data to obtain a matching data body, establishing a three-dimensional time window to perform traversal on the matching data body and obtaining displacement of all points, and re-sampling longitudinal waves on the basis of the obtained displacement to finally complete multi-wave matching. The transverse wave and longitudinal wave data is matched through training of the convolutional neural network, so the matching precision and the matching efficiency are improved greatly and the workload is reduced.
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Description

technical field

[0001] The invention belongs to the technical field of multi-wave matching, and in particular relates to a multi-wave matching method based on a convolutional neural network. Background technique

[0002] Multi-wave seismic exploration is a very potential method for the exploration of lithologic and subtle oil and gas reservoirs. However, due to many reasons, the combination of multi-wave and multi-component theoretical research and the actual exploration geological requirements of oil and gas fields, and the conversion under complex conditions No significant progress has been made in issues such as wave seismic data processing, multi-wave comprehensive interpretation, and geological application of full-wave attributes, and has become a "bottleneck" restricting the further development of multi-wave seismic exploration technology. The basis for solving these problems is to do a good job in multi-wave and multi-component data processing, and provide high-qualit...

Claims

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