Lithofacies and elastic parameter synchronous inversion method and device, electronic equipment and medium

An elastic parameter and linear inversion technology, applied in the field of oil and gas exploration, can solve the problems of poor stability of lithofacies inversion results, lack of consideration of lithofacies in space coupling and continuity, and low accuracy of inversion results, so as to improve stability and spatial continuity, improving the effect of inversion accuracy

Pending Publication Date: 2022-03-15
CHINA PETROLEUM & CHEM CORP +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of the low accuracy of conventional elastic parameter inversion results, and the conventional rock facies inversion method is easily affected by the elastic compaction trend, and does not consider the coupling and continuity of lithofacies in space, resulting in poor stability of lithofacies inversion results, etc.

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
  • Lithofacies and elastic parameter synchronous inversion method and device, electronic equipment and medium
  • Lithofacies and elastic parameter synchronous inversion method and device, electronic equipment and medium
  • Lithofacies and elastic parameter synchronous inversion method and device, electronic equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0087] Combine below Figure 2-5 The present invention is described in detail with examples.

[0088] In this embodiment, the angular partial stacking of seismic data volume and logging data is used as input data. After seismic data acquisition, static correction, denoising, deconvolution, velocity analysis, multiple wave removal and other processing processes in the early stage, common reflection point gathers are obtained through true amplitude prestack time migration, and converted into angle gathers. According to the actual work area, the incident angle range is divided, and M pieces of angle partial superposition data are obtained through angular partial superposition, where M≥3. Well-seismic calibration and angle wavelet extraction are also required before inversion. In the method of this embodiment, the Bayesian linear inversion of lithofacies constraints is calculated track by track, and the likelihood function of elastic parameters for lithofacies is calculated trac...

Embodiment 2

[0109] This embodiment provides an electronic device, including: a memory storing executable instructions; a processor running the executable instructions in the memory to realize the above-mentioned simultaneous inversion of lithofacies and elastic parameters based on the Markov model method.

[0110] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.

[0111] 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.

[0112] The processor may be a central processing unit (CPU) or other for...

Embodiment 4

[0116] An embodiment of the present disclosure provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the simultaneous inversion of lithofacies and elastic parameters based on the Markov model is realized. method.

[0117]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.

[0118] 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 nonvol...

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 provides a lithofacies and elastic parameter synchronous inversion method and device, electronic equipment and a medium. The inversion method comprises the following steps: initializing lithofacies of a work area to be inverted; calculating an elastic parameter by utilizing lithofacies constrained Bayesian linear inversion, and calculating a likelihood function of the elastic parameter about lithofacies; and calculating the posterior probability maximum value of the rock related to the elastic parameter by using the corrected Viterbi algorithm, updating the lithofacies, and repeatedly iterating until convergence. According to the method, the elastic low-frequency trends of different lithofacies are established based on the logging data, and elastic compaction traps of subsequent lithofacies prediction can be effectively avoided. The correlation between the low frequency of the elastic parameter inversion result and the elastic parameter is constrained by using the rock phase inversion result, the precision of the elastic parameter inversion result is improved, then the likelihood function of the elastic parameter about the lithofacies is updated, and the rock phase inversion result is updated under the prior constraints of the Bayesian network and the Markov random field, so that the accuracy of the rock phase inversion result is improved. And the stability and the space continuity of a rock phase inversion result are improved.

Description

technical field [0001] The invention belongs to the field of oil and gas exploration, relates to seismic data interpretation and inversion technology, and more specifically relates to a simultaneous inversion method for lithofacies and elastic parameters based on a Markov model, an inversion device, electronic equipment and a storage medium. Background technique [0002] Lithofacies prediction based on seismic data has always been an important and difficult point in the application of oil and gas geophysics in exploration and development. By combining the lithofacies classification and oil and gas interpretation conclusions of logging data, the lithology, physical properties and oil and gas properties based on seismic data can be realized. Therefore, the favorable "sweet spots" for exploration and development can also be given more intuitively. [0003] At present, lithofacies prediction based on seismic data can be roughly divided into two categories: one is the attribute f...

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
IPC IPC(8): G01V1/30
CPCG01V1/306G01V1/282G01V2210/66G01V2210/6242
Inventor 张丰麒张宏莫延钢
Owner CHINA PETROLEUM & CHEM CORP
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