# US 11,905,822 B2 · Online measurment method for temperature stability of production layer in oil and gas well, system and storage medium

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- Number: US 11,905,822 B2
- Document ID: US11905822B2
- Status: Granted
- Kind: B2
- Application number: 17/140,156
- Filed: 2021-01-04
- Published: 2022-01-13
- Granted: 2024-02-20
- Earliest claimed: 2020-07-09
- Assignees: Guoxing Huijin Shenzhen Technology Co., Ltd.
- Applicants: Guoxing Huijin Shenzhen Technology Co., Ltd.
- Inventors: Zhihua Ge; Shuai Guan; Chuntao Song; Wuhua Zhou; Yuehua Chen
- Web page: https://patentgrep.com/patent/US11905822B2

## CPC

- E21B 47/07: Temperature
- E21B 43/25: Methods for stimulating production {(by vibrating earth formations E21B43/003)}
- G01K 11/00: Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G06F 18/15: Statistical pre-processing, e.g. techniques for normalisation or restoring missing data
- G06F 2218/10: by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
- Y02P 90/02: Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
- E21B: EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- G01K: MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR (radiation pyrometry G01J5/00)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS

## Abstract

An online measurement method for temperature stability of production layers in an oil and gas well includes: obtaining a plurality of temperature data at each position point of an optical fiber; according to the temperature data, calculating temperature standard deviations of each position point within a production layer at a plurality of time points; performing probability distribution statistics according to the temperature standard deviations at all position points of the production layer at a same time point, fitting a probability distribution curve according to normal distribution, and obtaining a probability density function; obtaining the temperature standard deviations corresponding to at least one value that integral values of the probability density function at all position points of the production layer at each time point is between (0, 1), generating a standard temperature deviation normal distribution probability time curve of each section of the production layer according to the temperature standard deviations.

## Claims

### Claim 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.

### Claim 2 (depends on 1)

The online measurement method as claimed in claim 1, wherein a plurality of temperature data at each position point of an optical fiber is obtained by extracting online according to a temperature profile curve measured by the distributed optical fiber temperature measuring equipment.

### Claim 3 (depends on 1)

The online measurement method as claimed in claim 1, wherein the Step S60 comprises:
judging whether a temperature of each section of the production layer is stable, according to the standard temperature deviation normal distribution probability time curve of each section of the production layer; if the temperature of each section of the production layer is unstable, repeating the steps S10˜S50; if the temperature of each section of the production layer is stable, ending current production operation and entering a next production operation.

### Claim 4 (depends on 1)

The online measurement method as claimed in claim 1, wherein the step of according to the plurality of temperature data, calculating temperature standard deviations of each position point within the production layer of oil and gas wells at the plurality of time points within the preset time period by the computer programs performed by the processor, comprises the following steps:
S201, collecting temperature data of one frame of the optical fiber every N seconds by the distributed optical fiber temperature measuring equipment, after collecting data of M frames cumulatively, performing standard deviation calculation on the temperature data at each position point of the optical fiber to obtain standard deviation data of a first frame;
S202, after collecting data of a (M+1)th frame, performing standard deviation calculation on the temperature data at each position point of the optical fiber to obtain standard deviation data of a second frame, by using data of the last (M−1)th frames in the previous M frames and the data of the (M+1)th frame;
S203, performing the step S202 circularly, summarizing the standard deviation data of all frames in the present time period into a frame array of the standard deviation data; and
S204, independently extracting data of the production layer in the generated standard deviation data frame array, to obtain the temperature standard deviations of each position point in the production layer of the oil and gas well at the plurality of time points in the present time period, and generating a standard deviation change curve according to the temperature standard deviations.

### Claim 5 (depends on 1)

The online measurement method as claimed in claim 1, wherein the fitted curve of the normal distribution is automatically fitted by fitting software.

### Claim 6

A system comprising a memory, a processor and computer programs stored in the memory and performed by the processor to implement an online measurement method; the method 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;
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; fitting a probability distribution curve of the temperature standard deviations at all position points of the production layer at the time point, and obtaining a probability density function according to the fitted curve;
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);
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), 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.

### Claim 7

A computer readable storage medium configured to store computer programs, the computer programs performed by a processor to implement an online measurement method, the method 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;
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; fitting a probability distribution curve of the temperature standard deviations at all position points of the production layer at the time point, and obtaining a probability density function according to the fitted curve;
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);
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), 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.