1887

Abstract

Summary

China is rich in shale gas resources, but the geological conditions of shale reservoirs are complicated and faults are developed, especially the deep shale gas in Sichuan Basin. During hydraulic fracturing, complex geological conditions lead to frequent casing deformation, which can seriously affect the EUR in the area. The seismic fracture attribute is mainly used for casing deformation warning, but it still cannot meet the production demand. The fracture scale predicted by 3D seismic data cannot reach the fracture scale reflected by drilling and microseismic monitoring. The actual data in Sichuan Basin show that there is still a big difference between the 3D seismic fracture prediction results and the actual drilling results. Aiming at the problem of low accuracy of fracture prediction, this paper proposes a method to optimize 3D seismic fracture prediction by using the dynamic development results, and update the 3D seismic fracture prediction results by using the micro-seismic monitoring results of drilling and fracturing during the development process to improve the accuracy of fracture prediction. The dynamic development results are combined with the static seismic results.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202478023
2024-10-29
2026-02-19
Loading full text...

Full text loading...

References

  1. W.Liu, Z.H.He, J. X.Cao et al., 2018. Integrated Geology Sweet Spot and Micro seismic Monitor to Optimize Reservoir Stimulation-A Case for Shale Gas, China[C]. The 13th Middle East Geoscience Conference and Exhibition.
    [Google Scholar]
  2. W.Liu, Z.H.He, J. X.Cao et al., 2022. Integration of 3D Seismic Fracture Attributes and Micro-seismic monitoring for reservoir stimulation optimization[C]. The 83th EAGE Annual Conference & Exhibition.
    [Google Scholar]
  3. W.Liu, J.JZhang, G, Yu, et al., 2019. Using 3D seismic spot results to guide shale gas engineer warning[C]. The 81th EAGE Conference & Exhibition.
    [Google Scholar]
/content/papers/10.3997/2214-4609.202478023
Loading
/content/papers/10.3997/2214-4609.202478023
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error