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A sand body discontinuous boundary line direction self-adaptive identification method

A recognition method and self-adaptive technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of high false boundary picking rate, low reliability of real results, and low prediction accuracy, so as to improve reliability Reliability, reduce the picking rate, and improve the effect of prediction accuracy

Inactive Publication Date: 2019-06-28
SOUTHWEST PETROLEUM UNIV +1
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Problems solved by technology

[0006] In order to solve the problems existing in the prior art, the present invention provides a method for self-adaptive recognition of the sand body discontinuity boundary direction, which solves the problems of high false boundary picking rate, low reliability of the real prediction results and prediction accuracy of the previous recognition methods. low problem

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  • A sand body discontinuous boundary line direction self-adaptive identification method
  • A sand body discontinuous boundary line direction self-adaptive identification method
  • A sand body discontinuous boundary line direction self-adaptive identification method

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Embodiment Construction

[0043] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0044] Such as figure 1 As shown, a sand body discontinuity boundary direction adaptive identification method, the method includes the following steps:

[0045] Step S1: Input seismic attributes and pick up boundary information by mathematical morphology method;

[0046] Step S2: According to the Mahalanobis distance criterion, calculate the weight coefficients of the structural elements corresponding to the sensitive dire...

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Abstract

The invention discloses a sand body discontinuous boundary line direction self-adaptive recognition method. The method comprises the following steps that S1, seismic attributes are input, and boundaryline information is picked up through a mathematical morphology method; S2, according to the Mahalanobis distance criterion, weight coefficients of the structural elements corresponding to the sensitive direction boundary lines are calculated respectively; S3, carrying out weighted fusion on a boundary line corresponding to the structural element according to the weight coefficient; The problemsof high pseudo-boundary pickup rate, low reliability of a predicted real result and low prediction precision of a conventional identification method are solved.

Description

technical field [0001] The invention relates to the field of seismic attribute analysis, in particular to a method for self-adaptive identification of the sand body discontinuity boundary direction. Background technique [0002] Due to the influence of reservoir heterogeneity in oil and gas exploration and development, the division of seepage units inside reservoirs will become very important. For fluvial sand body reservoirs, the interior of the reserve unit is sand body complexes of different scales and levels, and the interfaces between these adjacent complexes have different degrees of shielding and blocking effects on fluid seepage, that is, " seepage barrier". Therefore, the study of reservoir heterogeneity can recognize the distribution of oil, gas, and water in the reservoir, use seismic attribute analysis to describe the discontinuous boundaries that affect fluid flow in the reservoir, and integrate geology, well logging, and rock Physical and other data are used ...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 张栋黄旭日丁峰尹成唐静罗浩然刘阳李凯陈小春
Owner SOUTHWEST PETROLEUM UNIV
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