A passive source oil and gas resource indicating method for green oil and gas exploration
By acquiring passive source seismic data through a short-period dense seismic array and combining it with dispersion curves and prior geological information for joint inversion, the problems of high noise impact and insufficient oil and gas resource indication in passive source seismic exploration have been solved. Stable imaging of basin structure and reliable indication of oil and gas resources have been achieved, meeting the needs of green and environmentally friendly exploration.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INSTITUTE OF GEOLOGY AND GEOPHYSICS CHINESE ACADEMY OF SCIENCES
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing passive source seismic exploration methods suffer from significant noise impact in sedimentary basin structure imaging and medium elastic parameter inversion, difficulty in stably identifying sedimentary basement converted waves, and lack of oil and gas resource indication processes, making it difficult to meet the needs of large-scale, low-cost, and environmentally friendly oil and gas exploration.
Passive source seismic data were acquired using a short-period dense seismic array. The coherence of the basin interface conversion wave and multiple waves was enhanced through joint processing of multiple stations. The interface and velocity structure were jointly inverted by combining dispersion curves and geological prior information to construct an oil and gas resource indicator model.
It achieves stable acquisition of P-wave and S-wave velocity ratios in sedimentary layers under short-period conditions, reduces the impact of noise, accurately characterizes the basin basement interface and velocity structure, directly serves oil and gas resource evaluation and target area selection, and reduces exploration costs and environmental impact.
Smart Images
Figure CN122410604A_ABST