Log multi-parameter oil-gas interpretation method based on radar map and cloud model

A cloud model and multi-parameter technology, applied in geophysical measurement, instruments, etc., can solve the problems of poor applicability, lack of theoretical explanation basis, low coincidence rate of oil and gas display interpretation, etc., and achieve high reliability, wide adaptability and intuitiveness strong effect

Active Publication Date: 2012-07-18
CHINA PETROLEUM & CHEM CORP +1
View PDF1 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current multi-parameter interpretation of mud logging is mainly based on a simple comprehensive judgment using multiple conventional mud logging raw data, lacking a systematic theoretical interpretation basis, and the interpretation conclusion is easily limited by human subjective judgment ability, resulting in the coincidence rate of oil and gas show interpretation Low, poor applicability

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
  • Log multi-parameter oil-gas interpretation method based on radar map and cloud model
  • Log multi-parameter oil-gas interpretation method based on radar map and cloud model
  • Log multi-parameter oil-gas interpretation method based on radar map and cloud model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] refer to figure 1 , the present invention obtains interpretation and evaluation parameters through conventional geological logging, gas logging, geochemical logging, nuclear magnetic logging and other logging technologies, integrates the interpretation database, and uses the gas logging data in the database to determine the well section of the display layer, and optimizes the For 3 to 10 key mud logging parameters, process and interpret data and draw radar charts according to normalization standards. The closed area of ​​the radar map polygon is the radar coverage index of the target layer, and the cloud model map is drawn according to the radar coverage index and the regional evaluation cloud equation, and then the radar map of the target layer, the radar map logging facies, the cloud model map shape and the corresponding Interpretation criteria for comprehensive evaluation, and finally output interpretation evaluation results.

[0053] Describe the present invention ...

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 relates to a log multi-parameter oil-gas layer interpretation and evaluation method based on a radar map and a cloud model. The method comprises the steps of: obtaining interpretation and evaluation parameters by normal geological log, gas log, geochemical log, nuclear magnetic log and the like; integrating log interpretation databases; drawing the log multi-parameter oil-gas interpretation radar map according to different reservoir types in different areas by using the databases; and mapping the interpretation parameters onto the rays of the radar map. The radar map is divided into a good reservoir, a medium reservoir and a poor reservoir from inside to outside; the area of the radar map is taken as the characteristic quantity for finishing characteristic extraction; the area of the radar map is used to calculate a cloud boundary equation, and the cloud boundary equation is mapped on the manufactured cloud scale; the cloud model is the same as the radar map, namely the reservoir is divided into a dry layer area, a low-yield oil-gas layer area and an oil-gas layer area with industrial value from inside to outside. The intuitional and quantitative interpretation and evaluation of log multi-parameter oil-gas reservoirs is realized by the radar map and the cloud model. The interpretation coincidence rate can be increased, and the interpretation conclusion is represented by a graph, so that the log multi-parameter oil-gas layer interpretation and evaluation method is intuitional in expression and strong in applicability.

Description

technical field [0001] The patent of the present invention relates to a mud logging multi-parameter oil and gas interpretation and evaluation method based on radar chart and cloud model theory. It can be used for oil and gas show interpretation and evaluation of tight sandstone, carbonate rock, and mud shale, and can be used to intuitively and quickly interpret reservoir fluid properties by using radar charts and cloud model diagrams. It belongs to the field of geology, well logging, and mud logging engineering services, especially mud logging oil and gas interpretation and evaluation. Background technique [0002] Mud logging is an important means of oil exploration and development. Mud logging multi-parameter is an important method of mud logging comprehensive interpretation, and the principle of radar chart and cloud model technology is applied to realize the graphic display and comprehensive quantitative evaluation of mud logging oil and gas display. The radar map meth...

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): G01V11/00
Inventor 魏大农冯爱国石元会陈强叶应贵赵红燕黄强
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