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Two-dimensional variation analysis method of seismic slice, electronic equipment and medium
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A technique of variation analysis and slicing, applied in the field of geostatistics, can solve the problem of unstated seismic data in different directions and scales, etc.
Pending Publication Date: 2021-12-03
CHINA PETROLEUM & CHEM CORP +1
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[0007] The purpose of the present invention is to propose a two-dimensional variation analysis method for seismic slices to solve the problem that the existing seismic statistics do not have statistics on the variation laws of seismic data in different directions and scales
[0008] In view of this, the present invention provides a two-dimensional variogram analysis method for seismic slices, electronic equipment and media, at least solving the problem that the existing seismic statistics do not count the variation laws of seismic data in different directions and scales
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Embodiment 1
[0059] figure 1 A flow chart of a two-dimensional variogram analysis method for seismic slices according to an embodiment of the present invention is shown. figure 2 A schematic diagram showing a grouping of phase difference values of grid positions according to a two-dimensional variogram analysis method for seismic slices according to an embodiment of the present invention. image 3 A schematic diagram of a centrosymmetric method of a two-dimensional variogram analysis method for seismic slices according to an embodiment of the present invention is shown. Figure 4 The variogram analysis results of a two-dimensional variogram analysis method for seismic slices according to an embodiment of the present invention are shown.
[0060] to combine figure 1 , figure 2 , image 3 and Figure 4 As shown, the two-dimensional variogram method of the seismic slice includes:
[0061] Step 1: Calculate the main survey line number difference and tie line number difference between...
Embodiment 2
[0084] The present disclosure provides an electronic device comprising: a memory storing executable instructions; a processor running the executable instructions in the memory to implement the above-mentioned two-dimensional variation analysis method for seismic slices.
[0085] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.
[0086] The memory is used to store non-transitory computer readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache). The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, and the like.
[0091] The present disclosure provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the above-mentioned two-dimensional variation analysis method for seismic slices is realized.
[0092] A computer-readable storage medium according to an embodiment of the present disclosure has non-transitory computer-readable instructions stored thereon. When the non-transitory computer-readable instructions are executed by the processor, all or part of the steps of the aforementioned methods in the various embodiments of the present disclosure are executed.
[0093] The above-mentioned computer-readable storage media include but are not limited to: optical storage media (for example: CD-ROM and DVD), magneto-optical storage media (for example: MO), magnetic storage media (for example: magnetic tape or mobile hard disk), Media that rewrites nonvolatile memory (eg: memor...
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Abstract
The invention discloses a two-dimensional variation analysis method for a seismic slice, electronic equipment and a medium. The method comprises the following steps of: calculating a main measuring line number difference value and a tie line number difference value between each point pair in the seismic slice; taking the point pairs with equal main measuring line number difference values and equal tie line number difference values as one group of data to obtain a plurality of groups of data; calculating the quadratic sum of the amplitude difference of each group of data and the number of point pairs contained in each group of data, and storing the quadratic sum of the amplitude difference of each group of data and the number of the point pairs contained in each group of data in a first array and a second array respectively; calculating a difference average value based on the first array and the second array; calculating a difference coefficient corresponding to each element of the first array; and obtaining a third array, and obtaining a variation analysis result based on the third array. According to the method, the difference value of the positions of sample points is used as a grouping standard, the change rules of seismic data in different directions and scales are put into statistics. The method has important significance on parameter analysis of fracture development directions and scales in geostatistics.
Description
technical field [0001] The invention belongs to the field of geostatistics, and in particular relates to a two-dimensional variation analysis method for seismic slices, electronic equipment and media. Background technique [0002] Geostatistics is a rapidly growing branch of applied mathematics that seeks to describe the distribution of an attribute in space. It assumes properties of spatial distribution that exhibit some degree of continuity. Porosity and permeability are examples of spatially dependent properties that may be suitable for a geostatistical description. [0003] Geostatistics is a science that studies natural phenomena that are both stochastic and structural, or spatially correlated and dependent, based on regionalized variables and with the help of variograms. By assuming that adjacent data are spatially correlated, and assuming that the relationship expressing the degree of correlation can be analyzed and counted by a function, the spatial relationship of...
Claims
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