CN106408138A - Oil well short-term production index abnormity early warning method - Google Patents
Oil well short-term production index abnormity early warning method Download PDFInfo
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- CN106408138A CN106408138A CN201611049959.XA CN201611049959A CN106408138A CN 106408138 A CN106408138 A CN 106408138A CN 201611049959 A CN201611049959 A CN 201611049959A CN 106408138 A CN106408138 A CN 106408138A
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- early warning
- oil well
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses an oil well short-term production index abnormity early warning method. The problems of large data amount and poor early warning timeliness of an early warning method with high accuracy in the prior art are solved. The method provided by the invention comprises the steps that the production data of production indexes of an oil well in a period of time are collected; the average value of oil well production indexes in the period of time is calculated; the standard deviation sigma of the oil well production indexes in the period of time is calculated; an production index abnormity degree A is calculated; and the early warning level is determined according to the specific value of the index abnormity degree A. The oil well short-term production index abnormity early warning method provided by the invention has the advantages of high early warning timeliness, high accuracy, simple operation and the like.
Description
Technical field
The present invention relates to a kind of method for early warning of oil well Indexes Abnormality is and in particular to a kind of early warning oil well short-term production target
Abnormal method.
Background technology
Summarized and analysis by the substantial amounts of condition of production, well oil output, Liquid output, the production target such as aqueous are in a short time
(as one week) should be in a relatively stable state, and if there is larger change, then abnormal, needs in oil well production
Find out reason in time, and resume production.This is also one of groundwork of oil well production management.Generally divided using production curve
Analysis, creation data on the two contrast and produce abnormal oil well to find out.But typically oilfield quantity is many, creation data is many, adopts
Find out the abnormal well of production target with production curve analysis and carry out early warning and be one wasting time and energy from numerous creation datas
Work.In creation data contrast on the two, radix yield is chosen larger on the impact of early warning result.As the product liquid in K well three days
Measure as 15m3/ d, 10m3/ d, 10m3/ d, during with the Liquid output of first day for radix, this well product liquid of the 3rd day reduces amplitude relatively
Greatly, produce extremely, but if using the Liquid output of second day as radix, then produce within the 3rd day normal.
In order to obtain more accurate judgment mode, disclose in " research of oil well production dynamic early-warning " of the prior art
A kind of decision method, the method carries out resampling to output fluctuation rate using Bootstrap method, with 3 σ methods, production target is entered
Row early warning.Although the method can be carried out to production target could be accurate during early warning, only data volume larger (at least above 10)
Really judge, when data volume is less than 10, the method lost efficacy.And, when data volume is more than 10, it is possible that alert has been sent out
Early warning information just occurs after raw many days, early warning ageing poor.
Content of the invention
The technical problem to be solved is：The higher method for early warning desired data amount of existing accuracy rate is larger and pre-
Alert ageing poor it is therefore intended that providing a kind of early warning oil well short-term production target abnormal method, solve early warning requisite number
According to amount is big, poor in timeliness problem.
The present invention is achieved through the following technical solutions：
A kind of abnormal method of early warning oil well short-term production target, including：
The creation data of step one, collection oil well production target interior for a period of time；
Step 2, calculate the mean value of oil well production index in this time
Step 3, calculate the standard deviation of oil well production index in this time；
Step 4, employingCalculate production target intensity of anomaly A；Concrete number according to Indexes Abnormality degree A
Value determines warning level.
The inventive method can rapidly find out the abnormal oil well of production target, and eliminate in numerous creation datas
The impact to early warning result for the selection of radix yield, improves the accuracy of early warning judgement, oil well management personnel can be according to pre-
Alert condition is analyzed in time, proposes countermeasure and resumes production, effectively improves production management efficiency and the managerial skills of oil well.And, this
The short-term production target that the method for invention is less than 10 mainly for data volume carries out early warning, has higher ageing and accurate
Property, make technical staff analyze the reason alert occurs in time, resume production as early as possible.
Meanwhile, the method for the present invention only needs to calculate the average of production target and standard deviation (general spreadsheet all may be used
Realized with quick) can be carried out the calculating of production target intensity of anomaly, and carry out grading forewarning system according to warning index, operation is more
Plus easy, therefore the present invention has very big actual promotional value.
Further, the dividing mode of described warning level has multiple, can directly be carried out using calculated former numerical value A
Divide it is also possible to divide again after former numerical value A is processed, such as when the numerical value of production target intensity of anomaly A expands 100 times
Afterwards, its division data is as follows：
When the numerical value of production target intensity of anomaly A is former numerical value, concrete partition of the level is as follows：
Preferably, described production target includes producing liquid, day oil-producing, water content, gas-oil ratio, gas production, aquifer yield, oil daily
One or more of pressure, casing pressure, stream pressure index.
Preferably, described production target include the water injection rate of water injection well and gas injection well, gas injection rate, oil pressure, in casing pressure index
One or more.
The present invention compared with prior art, has such advantages as and beneficial effect：
1st, the method for the present invention can eliminate the impact chosen to early warning result of radix yield, can accurately judge data simultaneously
Amount is less than the intensity of anomaly of 10 short-term production target, and then effectively judges warning level, and the ageing and accuracy of early warning is equal
Higher；
2nd, the method for the present invention can quickly be realized using general spreadsheet, the computing mode of realization is simpler,
Operation is easier, has high promotional value.
Specific embodiment
For making the object, technical solutions and advantages of the present invention become more apparent, with reference to embodiment, the present invention is made
Further detailed description, the exemplary embodiment of the present invention and its explanation are only used for explaining the present invention, are not intended as to this
The restriction of invention.
Embodiment 1
A kind of abnormal method of present invention early warning oil well short-term production target, including：
The creation datas such as step one, the daily output liquid collected in oil well one week, day oil-producing, water content；
Step 2, calculate daily output liquid, day oil-producing, the mean value of water content in this time
Step 3, calculate daily output liquid, day oil-producing, the standard deviation of water content in this time；
Step 4, employingCalculate the different of day oil-producing
Chang Chengdu Ao, daily output liquid intensity of anomaly Al, the intensity of anomaly A of water contentwc；Wherein,For the mean value of day oil-producing,For day
Produce the mean value of liquid,For the mean value that day is aqueous, σoFor the standard deviation of day oil-producing, σlFor producing the standard deviation of liquid, σ dailywc
For the standard deviation that day is aqueous.
According to Indexes Abnormality degree Ao、AlAnd AwcOccurrence be combined with the dividing mode of following warning levels and to determine
Concrete warning level.The dividing mode of described warning level is as follows：
As：Certain oilfield producing well 511 and 134 produces liquid, daily output between the date in October 71 day to 2016 October in 2016 daily
Oil, the data of water-content indicator, calculate the occurrence of intensity of anomaly, concrete data is as shown in table 1 by the inventive method：
Table 1
By above-mentioned table 1：Early warning is carried out according to this method, result display K-134 production target is normal, K-511 day
Product liquid is yellow early warning, day oil-producing be blue early warning, aqueous normal.Found by analysis, the daily output of 511 1, well 2016 on October
Liquid is 25.3m3/ d, on October 7th, 2016 daily output liquid is 11.1m3/ d, daily output liquid decreases 14.2m3/ d, declines by a big margin,
Oil well production goes wrong, and should take measures in time to resume production.The warning level of day oil-producing is blueness, less than daily output liquid early warning
Rank, is mainly affected by aqueous reduction.Accordingly, it would be desirable to analyze the main cause that 511 well Liquid output decline as early as possible, recover in time
Produce.
Embodiment 2
The present embodiment is with the difference of embodiment 1, is counted only with the Liquid output in K well three days in the present embodiment
Calculate, the Liquid output in this K well three days is 15m/d3, 10m/d3, 10m/d3.
Being calculated intensity of anomaly using the inventive method is 24.7, and early warning is classified as blueness.
Using the pre-judging method in " research of oil well production dynamic early-warning " in background technology, learn K well the 2nd day and the 3rd day
Output fluctuation rate is respectively -33.3 and 0.0, belongs to negative sense abnormality within second day, but belongs to positive abnormality within the 3rd day, with
Actual production is not inconsistent.
Embodiment 3
The present embodiment is with the difference of embodiment 1, is counted using the Liquid output of K-511 well fortnight in the present embodiment
Calculate, the Liquid output of this K-511 well fortnight is 25.3m3/d、19.4m3/d、14.2m3/d、13.9m3/d、14.7m3/d、
11.4m3/d、11.1m3/d、10.1m3/d、10.4m3/d、14.5m3/d、8.9m3/d、5.4m3/d、4.8m3/d、6.6m3/d.
Being calculated intensity of anomaly using the inventive method is 45.2, and early warning is classified as yellow.
Using the pre-judging method in " research of oil well production dynamic early-warning " in background technology, learn：2nd, 3,11 days is negative
Abnormal, it is within the 10th, 14 days normal anomaly, remaining number of days is normal production.
In fact K-511 well Liquid output in 14 days have dropped 18.7m3, this time is all in abnormality.
By above-mentioned data, when data volume is more than 10, background is compared using the accuracy that the method for the present invention records
In technology, forwarding method, closer to reality, proves further：The method of the present invention, while having higher ageing it is ensured that
The accuracy of early warning.
Above-described specific embodiment, has been carried out to the purpose of the present invention, technical scheme and beneficial effect further
Describe in detail, be should be understood that the specific embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, all any modification, equivalent substitution and improvement within the spirit and principles in the present invention, done etc., all should wrap
It is contained within protection scope of the present invention.
Claims (4)
1. a kind of abnormal method of early warning oil well short-term production target is it is characterised in that include：
The creation data of step one, collection oil well production target interior for a period of time；
Step 2, calculate the mean value of oil well production index in this time
Step 3, calculate the standard deviation of oil well production index in this time；
Step 4, employingCalculate production target intensity of anomaly A；Concrete numerical value according to Indexes Abnormality degree A determines
Warning level.
2. a kind of abnormal method of early warning oil well short-term production target according to claim 1 produces it is characterised in that working as
After the numerical value of Indexes Abnormality degree A expands 100 times, the dividing mode of described warning level is as follows：
3. a kind of abnormal method of early warning oil well short-term production target according to claim 1 is it is characterised in that described life
Produce index to include producing liquid, day oil-producing, water content, gas-oil ratio, gas production, aquifer yield, oil pressure, casing pressure daily, flow pressing in index
Plant or multiple.
4. a kind of abnormal method of early warning oil well short-term production target according to claim 1 is it is characterised in that described life
Produce index and include one or more of the water injection rate of water injection well and gas injection well, gas injection rate, oil pressure, casing pressure index.
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| CN201611049959.XA CN106408138A (en) | 2016-11-24 | 2016-11-24 | Oil well short-term production index abnormity early warning method |
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| CN201611049959.XA CN106408138A (en) | 2016-11-24 | 2016-11-24 | Oil well short-term production index abnormity early warning method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112627800A (en) * | 2019-09-24 | 2021-04-09 | 中国石油化工股份有限公司 | Detection method and detection system for daily gas yield measurement deviation of water-cut gas well |
Citations (5)
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| US5131471A (en) * | 1989-08-16 | 1992-07-21 | Chevron Research And Technology Company | Single well injection and production system |
| CN102004962A (en) * | 2010-12-01 | 2011-04-06 | 福州维胜信息技术有限公司 | Method for realizing intelligent collation on personal comprehensive performance for appraisal |
| CN102094626A (en) * | 2010-12-20 | 2011-06-15 | 中国石油天然气股份有限公司 | Real-time fault early warning method and system of oil well |
| CN104196506A (en) * | 2014-08-01 | 2014-12-10 | 中国石油大学(北京) | Injection and production parameter joint debugging method, device and system for SAGD single well set |
| CN105006113A (en) * | 2014-04-25 | 2015-10-28 | 中国石油化工股份有限公司 | Ultra-high-water-content oil field exploitation early-warning method |
-
2016
- 2016-11-24 CN CN201611049959.XA patent/CN106408138A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5131471A (en) * | 1989-08-16 | 1992-07-21 | Chevron Research And Technology Company | Single well injection and production system |
| CN102004962A (en) * | 2010-12-01 | 2011-04-06 | 福州维胜信息技术有限公司 | Method for realizing intelligent collation on personal comprehensive performance for appraisal |
| CN102094626A (en) * | 2010-12-20 | 2011-06-15 | 中国石油天然气股份有限公司 | Real-time fault early warning method and system of oil well |
| CN105006113A (en) * | 2014-04-25 | 2015-10-28 | 中国石油化工股份有限公司 | Ultra-high-water-content oil field exploitation early-warning method |
| CN104196506A (en) * | 2014-08-01 | 2014-12-10 | 中国石油大学(北京) | Injection and production parameter joint debugging method, device and system for SAGD single well set |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112627800A (en) * | 2019-09-24 | 2021-04-09 | 中国石油化工股份有限公司 | Detection method and detection system for daily gas yield measurement deviation of water-cut gas well |
| CN112627800B (en) * | 2019-09-24 | 2024-03-29 | 中国石油化工股份有限公司 | Method and system for detecting daily gas production measurement deviation of water gas well |
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Application publication date: 20170215 |