Post-stack Fractured Reservoir Characterization Method Based on Shear Fracture Conjugate Criterion

Abstract

The invention discloses a post-stack fractured reservoir characterization method based on the shear fracture conjugate criterion. The method includes: firstly, the current fault information is enhanced through fault protection filtering, the existing structural features are retained, and the fault information is not damaged. Afterwards, the coherence enhancement of ridge line enhancement is performed on the data volume of fault protection filtering, ant colony tracking is performed under the constraint of tensor direction field, and finally the post-stack fracture simulation of tensor direction field based on shear fracture conjugate criterion is carried out to realize fracture Quantitative characterization of reservoirs. The method of the present invention comprehensively formulates a full-process fracture reservoir characterization method from background noise removal to post-stack data enhancement processing and finally fracture simulation, fully utilizes the characteristic that fractures are based on the conjugate criterion of shear fracture, and integrates a single stack The post-fracture simulation method performs multi-level processing, enriches the details of fractures, increases the accuracy of identification, and provides a favorable technical guarantee for the drilling of fractured reservoirs in the field of oil and gas exploration.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration, in particular to a post-stack fracture reservoir characterization method based on the conjugate criterion of shear fracture. Background technique [0002] In recent years, more and more attention has been paid to unconventional reservoirs such as shale gas and tight oil and gas reservoirs in oil and gas exploration at home and abroad. Among them, fractures are the decisive factor affecting the production of such reservoirs. Domestic oil and gas fields have great potential for fractured reservoirs. High demand is an important position for increasing reserves and production. However, the prediction and description of fractured reservoirs is more difficult and less accurate than conventional reservoirs, and has long been the main target of major oil and gas fields. At present, there are two main types of commonly used fracture reservoir characterization methods: post-stack fracture ...

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Problems solved by technology

However, for fine exploration and development blocks, such methods have low prediction accuracy, can only be described qualitatively, cannot be quantitatively predicted, and cannot meet the standards of fine reservoir prediction;

[0005] The second type: improved post-stack attribute prediction based on ant tracking. This type of method is an improvement on the first type of method. On the basis of post-stack attributes such as coherence and curvature, seed points are set, and points are calculated by ant tracking algorithm. Point-to-point tracking to obtain the quantitative distribution data of cracks. Compared with the first method, the resolution of this method has been greatly improved, but it has poor anti-irritability and strong multi-solution for tracking cracks, and noises are often identified as cracks. lower

[0006] In summary, the traditional post-stack fractured reservoir characterization methods have high uncertainty, cannot accurately identify fractured reservoirs, and cannot provide effective technical support for fine reservoir prediction

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