Interpretation and evaluation method for downhole distributed temperature monitoring production profile of multilayer gas reservoir

A technology of production profile and evaluation method, which is applied in earthwork drilling, wellbore/well components, special data processing applications, etc., and can solve the problems of no optical fiber temperature monitoring profile interpretation evaluation method, large size of monitoring instruments, and long monitoring time and other issues to achieve the effect of improving exploration and development benefits

Active Publication Date: 2020-09-11
SOUTHWEST PETROLEUM UNIV
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the production profile testing technology based on production logging can determine the production of downhole fluid, there are still many problems, such as long monitoring time, poor continuity of timeliness, removal of the instrument affects the smooth production of oil and gas wells; the size of the monitoring instrument Large, poor well type adaptability; large errors in monitoring results, high cost, etc.
In recent years, exploration wells in the Tarim Basin and Yinggehai Basin in my country have shown ultra-high temperature and high pressure characteristics. Traditional production profile monitoring tools cannot meet the production profile test under extreme working conditions, which has seriously affected the production capacity of reservoirs in exploration areas. accurate understanding
At present, there is no interpretation and evaluation method for the production profile of the downhole distributed optical fiber temperature monitoring of high temperature and high pressure multi-layer gas wells

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
  • Interpretation and evaluation method for downhole distributed temperature monitoring production profile of multilayer gas reservoir
  • Interpretation and evaluation method for downhole distributed temperature monitoring production profile of multilayer gas reservoir
  • Interpretation and evaluation method for downhole distributed temperature monitoring production profile of multilayer gas reservoir

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described below in conjunction with the embodiments and the accompanying drawings.

[0029] This embodiment provides a multi-layer gas reservoir downhole distributed temperature monitoring production profile interpretation and evaluation method, including the following steps:

[0030] S1. Obtain the distributed temperature monitoring data of the target well downhole;

[0031] S2. The global probability method is used to compare and analyze the underground distributed temperature monitoring data, and then the temperature monitoring data is preprocessed by smoothing filtering to obtain the temperature monitoring data with normal trends at different times. The preprocessed temperature monitoring data is as follows: figure 2 shown;

[0032] S3, according to the test curve characteristics of the target well and the logging interpretation results, the temperature monitoring data obtained in step S2 is segmented, and the segmented result...

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 discloses an interpretation and evaluation method for a downhole distributed temperature monitoring production profile of multilayer gas reservoir. The method comprises the following steps that downhole distributed temperature monitoring data under a target well are obtained; the downhole distributed temperature monitoring data are preprocessed; the temperature data are segmented according to the test curve characteristics and the well logging interpretation result of the target well; a numerical simulation method is adopted to calculate the temperature of each layer of the production profile of a target well rockshaft by using a seepage pressure field-temperature field model of the multi-layer gas reservoir; and the temperature of each layer of the production profile of therockshaft is compared with the segmented temperature data, and the optimal production flow of each layer is obtained through an optimization theory to obtain the production profile of the target well.Based on the gas state equation, the mass conservation and the energy law, the production profile evaluation method is proposed by coupling a seepage pressure field and a temperature field of the gasreservoir, the production profile of a gas well can be accurately obtained, and the method has important practical significance for fine description of the production of domestic high-temperature high-pressure multilayer gas reservoir and improvement of exploration and development benefits.

Description

technical field [0001] The invention belongs to the technical field of petroleum and natural gas exploitation, and relates to a method for interpreting and evaluating production profiles of distributed temperature monitoring in multi-layer gas reservoirs. Background technique [0002] How to obtain the production profile of oil and gas wells in real time, efficiently and accurately has always been a bottleneck problem concerned by petroleum engineering technicians. Although the production profile testing technology based on production logging can determine the production of downhole fluid, there are still many problems, such as long monitoring time, poor continuity of timeliness, removal of the instrument affects the smooth operation of oil and gas well production; the size of the monitoring instrument Large, poor well type adaptability; large error in monitoring results, high cost, etc. In recent years, exploratory wells in the Tarim Basin and Yinggehai Basin in my country...

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): E21B47/07E21B49/00G06F30/20
CPCE21B49/00G06F30/20E21B47/07E21B47/103E21B2200/20
Inventor 魏明强段永刚梁豪吴木旺张锐铎伍梓健卫诗豪盛舒遥岳陶陈旭
Owner SOUTHWEST PETROLEUM UNIV
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