Fracture grading prediction method based on seismic frequency division technology

Abstract

The invention discloses a fracture grading prediction method based on a seismic frequency division technology. The fracture grading prediction method comprises the steps of collecting basic data; making a single well synthetic record, and calibrating a research target layer; performing spectral analysis on original post-stack amplitude data of the target layer, and defining an effective signal range of the data of the target layer; determining the approximate fracture development scale of the target horizon; establishing a forward model for simulation; carrying out simulation result frequencydivision processing, and optimizing fracture response frequencies of different levels; performing targeted frequency division processing on the original amplitude data; analyzing fracture attributes of all levels and optimizing an algorithm; analyzing fracture profile and three-dimensional space prediction effects of each level; fusing fractures at all levels into a graph, and carrying out coincidence analysis on actual drilling data; and removing a fracture detection abnormal area, and completing fracture grading prediction. The method is low in data processing condition requirement, small inoperand and high in processing speed; the multi-solution problem of a large amount of fracture interpretation is eliminated, the complex problem is simplified, the fracture interpretation efficiencyis improved, the seismic interpretation workload is reduced, and the fracture prediction precision is improved.

Description

technical field [0001] The invention relates to the technical field of petroleum exploration and development, in particular to a fracture classification prediction method based on seismic frequency division technology. Background technique [0002] Currently popular fracture (fracture) prediction methods at home and abroad mainly cover three types of identification and prediction methods: geology, well logging and seismic. Cores, well logs and other data are used to identify and predict small-scale fractures with a certain distribution range, but the prediction range is limited. [0003] Due to factors such as regional tectonic events and fault development stages and strengths, faults in the study area are generally divided into main (large-scale) faults, secondary (meso-scale) faults, and micro (small-scale) faults (cracks). , and its prominent performance is that the off-distances are of different sizes and forms. With the rapid development of 3D seismic technology, seis...

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Problems solved by technology

That is to say, for faults with different geological scales, a certain optimized prediction method is uniformly used, ignoring the different responses of seismic data to different orders of faults under different frequency conditions, and the responses of different algorithms to different orders of faults. There are also differences, and it is biased to weaken the research on the fracture level

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