Fracture prediction analysis method based on structural evolution stratum strain

A crack prediction and analysis method technology, applied in geophysical measurement, seismology, measurement devices, etc., can solve the problems of collecting footprints, large resource consumption, interference noise, etc., and achieve the effect of eliminating the influence of outliers

Active Publication Date: 2018-09-07
CHENGDU NORTH OIL EXPLORATION DEV TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since seismic data are affected by many factors such as observation system design, surface geological conditions, construction conditions, and data processing conditions during data acquisition, there may be many problems such as acquisition footprints, interference noise, and artificial artifacts. Predicting Fracture Distribution Brings Uncertainty
However, the data volume of 3D seismic data, especially pre-stack data, is often calculated in several GB or even TB, and the storage of intermediate data and computer time are huge resource consumption.
Moreover, not every seismic work area has 3D seismic data, and a large number of developed oil and gas fields only have 2D seismic data
For work areas lacking 3D seismic data, it is difficult to complete fracture prediction and analysis by the above methods

Method used

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  • Fracture prediction analysis method based on structural evolution stratum strain
  • Fracture prediction analysis method based on structural evolution stratum strain
  • Fracture prediction analysis method based on structural evolution stratum strain

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Experimental program
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Effect test

Embodiment 1

[0043] A fracture prediction analysis method based on tectonic evolution stratum strain, comprising the following steps:

[0044] A. Level calibration of the work area;

[0045] B. Pick up and track the target layer of seismic data and all layers above the target layer;

[0046] C. Calculate the gradient difference between the target horizon and all horizons above it;

[0047] D. Calculate the maximum positive curvature and maximum negative curvature of the gradient difference and eliminate singular values;

[0048] E. Judging the fracture development area and relative development degree according to the curvature value;

[0049] F. Superimpose the predicted areas to obtain the fracture development of the target layer.

[0050] Both the maximum positive curvature and the maximum negative curvature are a kind of curvature, which are defined as:

[0051] First let the surface be defined as:

[0052] Z(x,y)=Ax 2 +By 2 +Cxy+Dx+Ey+F

[0053] in

[0054]

[0055]

[005...

Embodiment 2

[0064] Based on the principles of the foregoing embodiments, this embodiment discloses a specific implementation manner.

[0065] A. Familiar with the data, understand the geological situation of the work area, use the logging data to make synthetic records for horizon calibration, or use VSP data for horizon calibration.

[0066] B. If figure 1 , figure 2 As shown, the target horizon of picking and tracking seismic data: For the 3D seismic horizon of thinning interpretation, it is necessary to perform horizon interpolation and check the interpolation results one by one. The survey lines with poor interpolation effects need to be manually analyzed according to the actual situation of the seismic event. Adjust and modify the interpolation results;

[0067] Pick and track all the horizons of the reflection interface in the geological period that can be compared and tracked above the target horizon: for the 3D seismic horizons that are interpreted thinly, first perform horizo...

Embodiment 3

[0077] Embodiment 2 can only realize the crack prediction of a single target layer. Based on Embodiment 2, the crack prediction of multiple target layers can be realized. The specific method is: first implement the method steps of Embodiment 2 to realize the crack prediction of a single target layer, and in the cycle step From B to F, it is enough to realize the fracture prediction of the remaining target layers.

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Abstract

The present invention discloses a fracture prediction analysis method based on structural evolution stratum strain. The method comprises the following steps of: performing horizon calibration of a work area; picking up a seismic data target horizon and all the horizons on the target horizon; calculating transmutation difference of the target horizon and all the horizons on the target horizon; calculating the maximum positive curvature and the maximum negative curvature of the transmutation difference, and rejecting a singular value; determining a fracture development area and a relative development degree according to the size of a curvature value; and overlapping the prediction areas to obtain the fracture development condition of the target stratum. The method considers the stratum strain condition of the target horizon in the evolution processes of different geological historical periods, can estimate the positions of the fractures being possibly to be developed and development degrees, can reveal the hidden fracture development positions, can eliminate the influence of the abnormal value and can be used for two-dimensional and three-dimensional seismic work area.

Description

technical field [0001] The invention relates to the technical field of fracture prediction and analysis, in particular to a fracture prediction and analysis method based on structural evolution stratum strain. Background technique [0002] The distribution and development degree of fractures play a very important role in the exploration and development of oil and gas fields. In most unconventional oil and gas fields and carbonate oil and gas fields with less developed pores, natural fractures are one of the main factors affecting productivity. The distribution of fractures is complex, the regularity is poor, and its identification and prediction are difficult. The fracture identification and prediction technology has always been the focus of the industry. There are three main types of fracture research methods: geological identification methods based on cores and outcrops, fracture identification and description methods based on seismic data, and identification and predicti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/306
Inventor 洪余刚卢立泽王贺华高健李鑫杨滔罗春树蒋利平臧克一黄海平黄凯刘榧孙照磊李建东张博钱利刘家材杨鸿米中荣付辉何巍张艺久康博桂碧雯袁浩
Owner CHENGDU NORTH OIL EXPLORATION DEV TECH
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