Seismic attribute guidance horizontal-well-steering method and device thereof

Abstract

The invention provides a seismic attribute guidance horizontal-well-steering method and device. The method comprises the steps that the horizontal-well-steering data for well logging during drilling are obtained; the seismic attributes of the stipulated number of sampling points are extracted longitudinally by taking each point of the track of a horizontal well as the center along each point of the track of the horizontal well, weighted stacking is conducted on the seismic attributes, and the weighted stacking result is used as the seismic attribute of the point; a plurality of seismic attributes sensitive to gamma data are selected preferably combined with the existing horizontal-well-geology-oriented data for well logging during drilling; the gamma data in the data for well logging during drilling and the seismic attributes are used for building a statistics model, and prediction of the gamma data along the track of the horizontal well through the seismic attributes is achieved finally; the lithological characters along the track of the well are judged through the gamma attributes, and guidance for the horizontal well orientation is provided. The seismic attribute guidance horizontal-well-oriented method provides better seismic technology support for geology orientation, improves the drilling catching ratio of the lithological characters of a drilling object, and has good application prospects for horizontal-well-geology-orientation for clastic rocks.

Description

technical field [0001] The invention relates to the technical field of horizontal well drilling, and more specifically, relates to a method and a device for guiding horizontal well steering by seismic attributes. Background technique [0002] At present, domestic horizontal well geosteering technology is still in the development stage, and seismic technology does not participate in the horizontal well geosteering process in the process of horizontal well drilling in my country. Horizontal well geosteering mainly uses logging curves such as gamma, resistivity, and gas logging curves in logging while drilling, which can only be measured after drilling. Using LWD curves to predict the next lithology change and adjust the next drilling trajectory does not take full advantage of the lateral high resolution advantages of seismic data, and can achieve better results when lithology changes are small. Conventional methods of geosteering are used in areas with complex lithology, and ...

AI Technical Summary

Problems solved by technology

Using LWD curves to predict the next lithology change and adjust the next drilling trajectory does not take full advantage of the lateral high-resolution advantages of seismic data, and can achieve better results when lithology changes are small, but in Conventional methods of geosteering are used in areas with complex lithology, and the drilling rate of target lithology is low

The existing seismic attribute optimization algorithms include rough set theory, genetic algorithm, neural network algorithm and other related algorithms. At present, a single optimization algorithm is usually used for seismic attributes, which has a large computational workload and has no clear geological significance.

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