Method for predicting distribution of thin sand body

A sand body and thin sand technology, applied in the field of sand body distribution prediction, can solve problems such as difficult identification of thin sand layers

Inactive Publication Date: 2017-02-22
SOUTHWEST PETROLEUM UNIV
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AI Technical Summary

Problems solved by technology

[0006] The invention provides a method for predicting the distribution of thin sand bodies, which solves the technical problem that the existing sand body prediction methods are difficult to identify thin sand layers, and realizes the ability to accurately and efficiently predict the distribution of thin sand layers in sand bodies Technical Effects of Information and Thickness Information

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  • Method for predicting distribution of thin sand body
  • Method for predicting distribution of thin sand body
  • Method for predicting distribution of thin sand body

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Embodiment 1

[0045] In Example 1, please refer to figure 1 , providing a method for predicting the distribution of thin sand bodies, the method comprising:

[0046] Step 1: Use mud logging and logging information to identify sand bodies, and determine the longitudinal development of sand layers from the geological section;

[0047] Step 2: Perform negative 90° phase rotation (counterclockwise) on the original seismic profile, so that the thin sand layer corresponds to the seismic wave amplitude (peak position) response characteristics;

[0048] Step 3: Project the typical well sand group onto the seismic section, and determine the position of the thin sand layer on the seismic section;

[0049] Step 4: Continuously slice the seismic data volume vertically, observe the seismic waveform change characteristics of the slices, and determine the response characteristic slices of the thin sand layer;

[0050] Step 5: Use the response feature slice to determine the distribution range of the thi...

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Abstract

The invention discloses a method for predicting the distribution of a thin sand body. The method includes the following steps: 1. using well logging information to identify a sand body, determining the pattern of longitudinal growth of the sand body from a geological section; 2. conducting phase rotation at -90 DEG on an original seismic section, such that the thin sand body corresponds to seismic wave amplitude response characteristics; 3. projecting a typical well-sand group to the seismic section, determining the position of the thin sand body to the seismic section; 4. longitudinally conducting continuous stratal slice on a seismic data body, observing the change characteristics of the seismic wave forms of the slices, determining a response characteristic slice of the thin sand body; and 5. using the response characteristic slice to determine the distribution range of the thin sand body on a plane. The method can accurately and efficiently predicts distribution and thickness of the thin sand body in a sand body.

Description

technical field [0001] The invention relates to the field of prediction of sand body distribution, in particular to a method for predicting the shape of a thin sand layer by using continuous waveform variation characteristics. Background technique [0002] In continental clastic sedimentary basins, the reservoirs are rarely thick, but mostly thin interbeds, usually between 3-10m in thickness, so an event on the seismic section is often composed of multiple sandstones. Comprehensive superposition effects of segments (thin interbeds) in bulk. Conventional seismic data analysis methods are difficult to distinguish, which makes it more difficult to identify thin sand layers in the vertical direction and to identify the distribution of sand bodies in the horizontal direction. [0003] Traditional sand body prediction mainly establishes an interpretation relationship through lithology, amplitude and frequency, predicts the distribution range of sand groups, and uses waveform clas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/624
Inventor 李斌肖鹏程韩梅健子谢佳彤刘弈伶郑见超李琪琪
Owner SOUTHWEST PETROLEUM UNIV
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