Forward modeling grid search positioning and microseismic signal identification method and device

Abstract

The invention provides a method and device for forward modeling grid search positioning and micro-seismic signal identification. The method includes: dividing the monitored area into a three-dimensional grid with a relatively large initial radius; setting the grid node as a possible source position, and using the time offset and superposition theory according to the velocity model measured by other methods, and Cross-correlation calculation technology, time-sharing and sequential search and comparison of each node; offset the time of the seismic wave sent by it to each station, align the travel time, and perform waveform superposition; if the amplitude increases significantly and the signal becomes clear, the node is The node closest to the source position in the primary three-dimensional grid can identify microseismic signals at the same time; the error of the source position is half of the node spacing of the primary grid. The forward modeling grid search positioning and micro-seismic signal identification method and device provided by the present invention improve the reliability of positioning and signal identification in micro-seismic monitoring, and its theory and technology are recognized by oil field experts.

Description

technical field [0001] The invention relates to the technical field of microseismic observation, in particular to a forward modeling grid search positioning and microseismic signal identification method and device. Background technique [0002] Microseismic monitoring and data analysis of oilfields and mines is a new technology and method for understanding underground fractures in oilfields. It has been highly praised by experts and scholars at home and abroad, and has been widely used. Oilfield fracturing, especially large-scale horizontal well fracturing, requires high monitoring and data interpretation reliability, and real-time monitoring and analysis results are required to control the fracturing construction process. This requires high positioning accuracy and sufficiently fast positioning and micro-seismic signal identification technologies and methods. [0003] The forward modeling grid search positioning and microseismic signal identification proposed by us are ex...

AI Technical Summary

Problems solved by technology

First identify the micro-seismic signal, give the arrival time of the micro-seismic, and then invert the source position according to the arrival time; the signal identification basis depends on the artificial setting, and the artificial factor is heavy; the inversion positioning can only use a relatively simple velocity model, and the positioning accuracy is low ; The amount of on-site calculation is large, which cannot meet the real-time positioning and analysis requirements of multiple stations (more than 12 stations)

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