A bedrock buried hill crack prediction method and device

Abstract

The invention provides a bedrock buried hill crack prediction method and device, and the method comprises the steps: carrying out the full-core mineral analysis and element capture logging of a targetregion, and obtaining the lithology distribution; establishing a bedrock geological model according to the seismic data, the conventional logging data, the imaging logging data and the core data of the target area; performing rock core observation, imaging logging and logging data analysis to determine effective crack characteristic parameters of the target area; performing a rock mechanics testto generate rock mechanics test data; establishing a relationship between the crack main control factors and the crack development parameters; and establishing a bedrock buried hill discrete fracturemodel according to the determined effective fracture characteristic parameters, the established relationship between the fracture main control factors and the fracture development parameters and the bedrock geological model, and performing bedrock buried hill fracture prediction on the target area. By integrating multi-source data and various methods, the crack development of the buried hill bedrock reservoir is identified and predicted, finally, a discrete crack model is established, and exploration and development of the buried hill bedrock reservoir are guided.

Description

technical field [0001] The invention relates to oil exploration technology, in particular to a method and device for predicting cracks in bedrock buried hills. Background technique [0002] Bedrock buried hills are metamorphic or igneous rock combinations below the sedimentary sequence, and bedrock buried hills contain sedimentary rocks with very low porosity or no matrix pores. Buried hill oil reservoirs are often discovered when deep drilling shallow clastic rock reservoirs, and usually have high single well production, which is of great significance in oil exploration and development. [0003] In the prior art, in the identification and prediction of fractures in granite bedrock buried hill reservoirs, although some technical methods for fracture identification and modeling have been formed, all methods have their adaptability. In addition, due to the absorption and attenuation of seismic wave energy by granite / metamorphic rocks, the seismic quality inside the buried hil...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology for the identification and prediction of fractures in granite bedrock buried hill reservoirs, although some technical methods for fracture identification and modeling have been formed, all methods have their adaptability

In addition, due to the absorption and attenuation of seismic wave energy by granite/metamorphic rocks, the seismic quality inside the buried hill is poor and the accuracy is reduced

Relying on core, thin section data and imaging logging for description, the identification accuracy is high, but due t

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