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

Morphological filtering-based electrical imaging reservoir fracture and cave body quantitative characterization method and system

A technology based on morphological and quantitative characterization, which is applied in radio wave measurement system, electric/magnetic detection for well logging, re-radiation of sound wave, etc., can solve problems such as application effect limitation, achieve fast calculation speed, High efficiency and simple calculation effect

Active Publication Date: 2017-02-22
CHINA PETROLEUM & CHEM CORP +4
View PDF5 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the quantitative evaluation of complex reservoirs, the application effect of this indiscriminate treatment method is limited

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
  • Morphological filtering-based electrical imaging reservoir fracture and cave body quantitative characterization method and system
  • Morphological filtering-based electrical imaging reservoir fracture and cave body quantitative characterization method and system
  • Morphological filtering-based electrical imaging reservoir fracture and cave body quantitative characterization method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0209] The method for quantitative characterization of electrical imaging fractured-vuggy bodies based on morphological filtering in this embodiment is to quantitatively characterize the electrical imaging fractured-vuggy bodies of Well h8 (2719m-2721m) and Well ch3 (4111m-4113m).

[0210] The electrical imaging logging data of wells h8 and ch3 are respectively processed by using the implementation process of multi-scale morphology filtering fracture-cavity identification and evaluation in section 4.2 above.

[0211] The multi-scale mathematical morphological filtering method is used to extract different scale fractures and dissolved pores from electrical imaging logging data. The above-mentioned quantitative characterization system of electrical imaging reservoir fracture-vuggy bodies based on morphological filtering is adopted, and the realization program is based on the matlab programming platform.

[0212] Basic method: convert the original image into a binary image, perfo...

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 present invention discloses a morphological filtering-based electrical imaging reservoir fracture and cave body quantitative characterization method and system. The method includes the following steps that: 1) noise suppression and blank band encryption interpolation are performed on original electric imaging logging data to obtain full-coverage rate electrical imaging logging data; 2) structural elements of appropriate shapes and scales are selected, and morphological filtering is performed on the obtained electrical imaging logging data in the step 1), so that fracture and cave pore distribution of different scales can be determined; and 3) the proportion of the porosity of fractures and the proportion of the porosity of corroded caves are calculated according to the fracture and cave pore distribution of different scales, so that a fracture and cave porosity spectrum which can indicate pore throat size and porosity distribution relationships can be obtained. According to the method of the invention, a mathematical morphological filtering method is introduced into imaging logging data processing; based on the filtering and anomaly recognition technologies of conductivity signals of different scales, the signal-to-noise ratio and identifiability of fracture and cave abnormal signals are improved; and exact information such as intuitive fracture and cave shapes and scale distribution can be provided for the processing and interpretation of electrical imaging logging data.

Description

technical field [0001] The invention belongs to the technical field of petroleum well logging, and in particular relates to a quantitative characterization method and system for electrical imaging reservoir fracture-cave bodies based on morphological filtering. Background technique [0002] Electrical imaging logging (taking Schlumberegr's FMI as an example) adopts the shielding principle of lateral logging. During the logging process, 8 plates are pressed against the well wall by means of a hydraulic system. Each plate and plate The 24 small button electrodes emit currents of the same polarity to the formation, and the metal shell on the upper part of the instrument is used as a return electrode. Due to the constant point position on the pole plate, the current emitted from the pole plate plays a role in focusing the current of the small button electrode. The multi-row button-shaped small electrodes on the 8 pole plates are used to transmit current to the wellbore formation...

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): G01V3/38G01V3/18
CPCG01V3/18G01V3/38
Inventor 冉利民沈金松赵永刚李健伟陈利雯李功强高勃胤陈婵娟吉倩倩何培良朱忠民
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