Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Reservoir prediction method and device

A reservoir prediction and reservoir technology, applied in the field of oil and gas exploration, can solve the problems of not being able to predict and distinguish different reservoir types, etc., and achieve the effect of improving the efficiency of oil and gas exploration, and the distribution is convenient and intuitive

Active Publication Date: 2016-03-09
CHINA PETROLEUM & CHEM CORP +1
View PDF2 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a reservoir prediction method and device to solve the technical problem that different reservoir types cannot be predicted and distinguished in the prior art

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
  • Reservoir prediction method and device
  • Reservoir prediction method and device
  • Reservoir prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] The execution subject of this embodiment is the reservoir prediction device.

[0050] figure 1 It is a schematic flow chart of the reservoir prediction method according to Embodiment 1 of the present invention, such as figure 1 As shown, a kind of reservoir prediction method provided by the present invention comprises:

[0051] Step 101: Acquire three first attribute data volumes related to the sampling point and the reservoir, and perform normalization calculation on the three first attribute data volumes respectively, to obtain three second attribute data volumes.

[0052] Specifically, the sampling points are data points with a certain sampling interval on each CDP point data track in the time domain, and the sampling interval is generally 2 ms. The first attribute data volume can also be called the first inversion data volume. These attribute data volumes must be able to effectively highlight the response of the reservoir, because the difference in the data value ...

Embodiment 2

[0067] This embodiment is a supplementary description based on the above embodiments. figure 2 It is a schematic flow chart of the reservoir prediction method according to Embodiment 2 of the present invention, such as figure 2 As shown, a kind of reservoir prediction method provided by the present invention comprises:

[0068] Step 201: Obtain three first attribute data volumes related to the sampling point and the reservoir, and perform normalization calculation on the three first attribute data volumes respectively to obtain three second attribute data volumes.

[0069] This step is consistent with step 101, for details, please refer to the description in step 101, which will not be repeated here.

[0070] Step 202, use the three second attribute data volumes to determine the reservoir threshold value ranges respectively, and obtain three threshold value ranges.

[0071] Further, this step specifically includes:

[0072] In step 2021, time-depth conversion and re-sampl...

Embodiment 3

[0108] This embodiment is an apparatus embodiment corresponding to Embodiment 1, and is used to execute the method in Embodiment 1.

[0109] image 3 It is a schematic structural diagram of a reservoir prediction device according to Embodiment 3 of the present invention, as image 3 As shown, the reservoir prediction device provided by the present invention includes an attribute data volume acquisition module 301 , a threshold range acquisition module 302 , a reconstruction data volume acquisition module 303 , a color fusion data volume acquisition module 304 and a predicted reservoir type module 305 . in:

[0110] The attribute data volume acquisition module 301 is used to acquire three first attribute data volumes related to the sampling point and the reservoir, and perform normalized calculation on the three first attribute data volumes respectively to obtain three second attribute data volumes;

[0111] The threshold value range acquisition module 302 is used to determin...

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 reservoir prediction method and a reservoir prediction device. The reservoir prediction method comprises the steps of: acquiring three first attribute data volumes of a sampling point relevant to a reservoir, and performing normalization calculation on the three first attribute data volumes respectively to obtain three second attribute data volumes; determining reservoir threshold value ranges by utilizing the three second attribute data volumes respectively to obtain three threshold value ranges; performing data reconstruction by utilizing the three threshold value ranges to obtain three reconstructed data volumes; performing color fusion processing on the three reconstructed data volumes to obtain a color fusion data volume; and predicting reservoir types according to the color fusion data volume. The reservoir prediction method and the reservoir prediction device can achieve prediction of various kinds of reservoir types, and make the distribution condition of different reservoir types more convenient and intuitive by separating reservoir of different types through different colors, thereby increasing the efficiency of oil and gas exploration.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration, in particular to a reservoir prediction method and device. Background technique [0002] In the field of geophysical exploration, after acquiring seismic data through conventional methods, it is necessary to interpret the seismic data, and generally carry out the corresponding reservoir prediction and interpretation process. In the process of reservoir prediction and interpretation, it is necessary to analyze the relevant logging data, and carry out relevant attribute extraction and inversion calculations on the seismic data, and then use the original seismic data, logging data, extracted or inverted attribute data Qualitative and quantitative analysis are performed on each other to identify possible reservoir development areas and intervals, so as to complete the reservoir prediction work. [0003] Reservoirs have certain physical characteristics, and the types of reservoirs als...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/624
Inventor 胡伟光李宇平刘若冰魏祥峰王庆波李荷婷文治东周卓铸
Owner CHINA PETROLEUM & CHEM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com