Method for predicting gas content of shale by using seismic data

Abstract

The invention provides a method for predicting gas content of shale by using seismic data and belongs to the petroleum and natural gas exploration field. The method includes the following steps that: (1) geological, logging and seismic data are prepared; (2) a density logging curve-based gas content calculation model, that is VGAS=f(DEN) (1), is established through using high correlation between a density logging curve and shale gas content data, wherein VGAS is gas content, m<3> / t, DEN is a density logging curve, g / cm<3>, and f is a function relational expression between gas content and density; (3) post stack multi-attribute inversion is carried out, so that density curve data required by the gas content calculation model can be obtained; and (4) gas content prediction is carried out: the density curve data obtained in the step (3) are introduced into the formula (1), so that the gas content of the shale can be obtained.

Description

technical field [0001] The invention belongs to the field of petroleum and natural gas exploration, and in particular relates to a method for predicting the gas content of mud shale by using seismic data. Background technique [0002] At present, the global shale gas resources have exceeded the global conventional natural gas resources, and it has become a research hotspot in the field of unconventional oil and gas. The United States and Canada in North America have decades of exploration and development history, and the geological understanding of mud shale, supporting exploration technology and engineering technology are relatively mature. With the increasing demand for energy in my country, research in the field of unconventional oil and gas represented by shale gas has gradually become a hot spot in the past two years, and breakthroughs and new understandings have been continuously obtained in exploration practice. Based on domestic and foreign exploration and developme...

AI Technical Summary

Problems solved by technology

[0003] (1) Seismic attribute analysis techniques can reflect changes in mud shale sedimentary facies, but it is difficult to establish a relationship with gas content;

[0004] (2) The correlation between wave impedance and gas content is poor, and conventional post-stack wave impedance inversion is difficult to effectively describe the lateral variation of shale gas content

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