US 11,905,822 B2
Online measurment method for temperature stability of production layer in oil and gas well, system and storage medium
Zhihua Ge, Shenzhen (CN); Shuai Guan, Shenzhen (CN); Chuntao Song, Shenzhen (CN); Wuhua Zhou, Shenzhen (CN); and Yuehua Chen, Shenzhen (CN)
Assigned to GUOXING HUIJIN SHENZHEN TECHNOLOGY CO., LTD., Shenzhen (CN)
Filed by Guoxing Huijin Shenzhen Technology Co., Ltd., Shenzhen (CN)
Filed on Jan. 4, 2021, as Appl. No. 17/140,156.
Claims priority of application No. 202010657180.6 (CN), filed on Jul. 9, 2020.
Prior Publication US 2022/0010663 A1, Jan. 13, 2022
Int. Cl. E21B 43/25 (2006.01); E21B 47/07 (2012.01); G06K 9/62 (2022.01); G01K 11/00 (2006.01); G06F 18/10 (2023.01)
CPC E21B 47/07 (2020.05) [E21B 43/25 (2013.01); G01K 11/00 (2013.01); G06F 18/10 (2023.01)] 7 Claims
OG exemplary drawing
 
1. An online measurement method for temperature stability of production layers in an oil and gas well comprising the following steps:
S10, obtaining a plurality of temperature data, using a distributed optical fiber temperature measuring equipment, over time at each position point of an optical fiber inside the oil and gas well,
S20, according to the plurality of temperature data, calculating temperature standard deviations of each position point within a production layer of the oil and gas well at a plurality of time points within a preset time period by computer programs implemented by a processor;
S30, performing probability distributions statistics according to the temperature standard deviations at all position points of the production layer at a time point, according to normal distribution by the computer programs; fitting a probability distribution curve of the temperature standard deviations at all position points of the production layer at the time point by the computer programs, and obtaining a probability density function according to the fitted curve by the computer programs;
S40, according to the probability density function, calculating the temperature standard deviations corresponding to at least one value that integral values of the probability density function is between (0, 1) by the computer programs;
S50, repeating the steps S30˜S40 to obtain the temperature standard deviations corresponding to the at least one value that the integral values of the probability density function of the temperature standard deviations at all position points of the production layer at each time point is between (0, 1) by the computer programs, segmenting all the position points of the production layer, and generating a standard temperature deviation normal distribution probability time curve of each section of the production layer according to the temperature standard deviations; and
S60: determining temperature stability of the production layers using the standard temperature deviation normal distribution probability time curve of each section of the production layer.