Angle domain pre-stack offset data processing method aiming to detect oil-gas-bearing property of reservoir

A technology for reservoir oil and gas content and data processing, which is applied in the field of pre-stack migration data processing in the angle domain, can solve the problems of lack of flexibility and reduced efficiency, and achieve the effects of strong practicability, improved accuracy, and expanded application range

Inactive Publication Date: 2013-10-16
TONGJI UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as the lateral non-uniformity increases, it is necessary to implement multiple local one-dimensional ray tracing according to the velocity model, and then interpolate to obtain the travel time, angle and weighting coefficient information of the actual position corresponding to the ray path during imaging, which is much less efficient and less flexible. , and the accuracy is related to the density and velocity variation characteristics of ray tracing
This type of method does not currently have an extended anisotropic media case

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Angle domain pre-stack offset data processing method aiming to detect oil-gas-bearing property of reservoir
  • Angle domain pre-stack offset data processing method aiming to detect oil-gas-bearing property of reservoir
  • Angle domain pre-stack offset data processing method aiming to detect oil-gas-bearing property of reservoir

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0034] Before implementing the pre-stack time migration processing in the angle domain, the pre-stack seismic data should be pre-stacked with relative fidelity noise suppression, static correction, and surface consistency correction in the conventional processing flow. It is recommended to use AVO / AVA forward modeling based on well data to control the quality of angle domain imaging results.

[0035] First, a reasonable velocity model is obtained by conventional pre-stack time migration processing for migration, and then converted to generate a relatively accurate layer velocity for angle calculation. Then, according to the technical scheme of the present invention, the angular domain pre-stack time migration imaging is realized, the accuracy of prediction of the reservoir and its oil and gas properties is improved, and the success rate of oil and gas exploration and development is improved.

[0036] Such as figure 1 , figure 2 As shown, an angular domain pre-stack migration data ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an angle domain pre-stack offset data processing method aiming to detect the oil-gas-bearing property of a reservoir. The method comprises the following steps: 1, a ground earthquake is simulated, and an earthquake wave signal is acquired by a data collector and is subjected to pretreatment through an relative-fidelity amplitude processing process; 2, a local target imaging range is selected according to reservoir projection requirements by input equipment, and an angle domain imaging array is subjected to initialization; and 3, the earthquake wave data subjected to the pretreatment in the step 1 is gradually input into a processor through the data collector, and the largest imaging range corresponding to an earthquake wave is determined through the processor according to a center spot position and migration aperture confinement, so as to judge whether the largest imaging range is in the selected local target imaging range or not, if yes, a step 4 is performed, otherwise, the next earthquake wave is input. Compared with the prior art, the invention has the advantages that the local angle domain pre-stack time offset imaging is realized based on the local direction characteristics of the earthquake wave; and Hi-Fi incident angle domain common imaging point gathers can be directly obtained in the offset process.

Description

Technical field [0001] The invention relates to an angular domain pre-stack migration data processing method, in particular to an angular domain pre-stack migration data processing method aimed at detecting the oil and gas content of a reservoir. Background technique [0002] Seismic exploration is to artificially excite seismic waves, and the wave field signal propagating underground reaches the surface geophone or sensor to be recorded. These wavefield records carry response information related to underground geological structure, rock elastic properties and pore fluid properties. According to the law of seismic wave propagation in the stratum rocks, reasonable wave field propagation models and seismic data processing, inversion and interpretation methods are used, combined with the geological knowledge of the study area to find geophysical exploration methods for fossil energy such as oil and natural gas. [0003] On the one hand, seismic exploration uses the kinematics informa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/28G01V1/30
Inventor 程玖兵耿建华
Owner TONGJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products