CN105260493B - A kind of oil well work(figure metering method based on semanteme - Google Patents

A kind of oil well work(figure metering method based on semanteme Download PDF

Info

Publication number
CN105260493B
CN105260493B CN201510394721.XA CN201510394721A CN105260493B CN 105260493 B CN105260493 B CN 105260493B CN 201510394721 A CN201510394721 A CN 201510394721A CN 105260493 B CN105260493 B CN 105260493B
Authority
CN
China
Prior art keywords
mrow
msub
oil
work
oil well
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510394721.XA
Other languages
Chinese (zh)
Other versions
CN105260493A (en
Inventor
佟星
刘阳
李世超
曾鹏
于海斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenyang Institute of Automation of CAS
Original Assignee
Shenyang Institute of Automation of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenyang Institute of Automation of CAS filed Critical Shenyang Institute of Automation of CAS
Priority to CN201510394721.XA priority Critical patent/CN105260493B/en
Publication of CN105260493A publication Critical patent/CN105260493A/en
Application granted granted Critical
Publication of CN105260493B publication Critical patent/CN105260493B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of oil well work(figure metering method based on semanteme, the data message of oil well is subjected to semantization encapsulation first, then carries out work(figure gauging according to the semantization data of encapsulation.The present invention is due to the introduction of semantic technology, work(figure oil measuring system is supplied to the body interface of user's specification, so that and more limited users of computer literacy can access work(figure oil measuring system, and when using work(figure oil measuring system, configuration is easier, and operation is more prone to；On the other hand, due to by the way of work(figure is analyzed, carrying out the metering of oil well output, this avoid original oil field manual inspection, and need to stop the gauging mode that well measures, so as to save human resources while well need not be stopped, improve the efficiency of oil well oil-producing indirectly.

Description

A kind of oil well work(figure metering method based on semanteme
Technical field
The present invention relates to field output field of measuring techniques, specifically a kind of oil well work(figure metering side based on semanteme Method.
Background technology
Oil has irreplaceable strategy to anticipate as a kind of non-renewable resources for the politics of country, economy, military affairs Justice.Petroleum Security of China is severe, and there is some material risks and challenge:With China's economy is lasting, stably, quickly Development, oil consumption also sustainable growth, crude oil demand persistently rise, and oil insufficiency of supply-demand has the trend of increase, and is increasingly becoming One of an important factor for restricting China's economic development.Ended for the end of the year 2009, residual recoverable reserves is verified as 27.9 hundred million by CNPC Ton, residual recoverable reserves reserve-production ratio are 14.8, but in these residual recoverable reserves, petroleum resources reserves inferior quality is low Ooze, the special hypotonic or ultralow petroleum resources of permeability, viscous crude and buried depth more than 3500m more than 50%, not only develop difficulties in exploration and exist It is gradually increased, development cost increase, and original oil zone comprehensive water cut is high, generally into the production decline stage.In face of such tight High situation, each oilfield enterprise will appreciate that improve crude oil production efficiency importance, and reduce investment, it is cost-effective, carry High oil field digital management level etc. has done substantial amounts of effort.Wherein, production metering of oil wells automation is oil field production number One important embodiment of word management.
Production metering of oil wells be field production management work in an important step, oil well output data promptly and accurately It is to investigate the yield of oil well unit interval, the multidate information of tracking grasp subsurface deposit block, prediction and evaluation oil well block Potentiality to be exploited, aggregate analysis and global production capacity situation, the important evidence of rational oil field production decision of holding oil field.Especially It is for ultralow permeability area, not only yields poorly, gas-oil ratio is high, and generally existing interval goes out liquid phenomenon, and intermittent time length is not One, Liquid output fluctuation is larger, and no rule can be followed, cause to measure in short-term be difficult producing well true production so that taking out Oil machine is chronically at inefficient operation state, causes the waste of energy, the invalid abrasion of equipment, the loss of economic benefit.Therefore, and When accurate oil well output data can effectively feed back the condition of production of individual well, judge that interval goes out the appearance of liquid phenomenon and continued Time, change the working condition of oil pumper according to these information, pump efficiency is improved using the mode of production of intermittent pumping, it is final to realize The target of energy-saving and production-increase.In a word, the well yield stoichiometric level for making great efforts to improve oil pumper by various means is given birth to improving oil field Production managerial skills have very important realistic meaning.
The research and development of introduction and China itself by nearly more than ten years technology, for different operating modes, occurs very More different metering methods:Metering room metering, tipping bucket metering, scale car, differential pressure type metering and the metering of work(figure etc..Wherein work(figure meter Amount is presently most universal metering method.Work(figure strapping is to make full use of the kinetic characteristic of oil pumper itself and combine oil well Creation data come a kind of method for being measured to oil well output.So-called work(figure, exactly one is reflected in one and draws the cycle In polished rod load and suspension point displacement relation closed curve, it is capable of the working condition of reflected pump, can not only be used for carrying out oil well The diagnosis of state, and the creation data of oil well can be combined, finally realize the metering to oilwell produced fluid amount.Work(figure is obtained at present Method is a lot, but in the case where digitizing oilfield construction pattern, mainly passes through the load transducer on beam hanger for pumping machine Realized with displacement transducer on walking beam on pumping units.The basic model of power graph method metering has some obvious excellent Gesture:1. by using sensor and Wireless/wired data transfer, long-range, real-time, continuous, automatic gauge can be realized；2. possess Certain general row, it is easy to replicate in oily area, promotes the use of；3. in addition to just dress, periodic maintenance and maintenance, substantially need not Personnel are operated to scene, have saved a large amount of human and material resources, are advantageously reduced use cost, are especially disperseed in oil well Wellblock, this advantage become apparent.But although work(figure strapping advantage is numerous, but it is deposited in terms of system isomerism and opening The problem of still have it is to be solved.
The content of the invention
In view of the shortcomings of the prior art, the present invention provide a kind of ontology library structure of oil field data collecting device flow and The method of oil well work(figure metering.
The used to achieve the above object technical scheme of the present invention is：It is first based on the oil well work(figure metering method of semanteme The data message of oil well is first subjected to semantization encapsulation, then carries out work(figure gauging according to the semantization data of encapsulation.
The data message by oil well carries out semantization encapsulation and comprised the following steps：
Step 1：Initial sensor body, analyte sensors body are built, and obtains domain knowledge；
Step 2：The institutional framework of sensor body is designed according to domain knowledge, establishes sensor body framework；
Step 3：The level of class and class is defined, according to the attribute of class and the hierarchy definition class of class, is established and with formalizing language Speech description sensor body；
Step 4：Sensor body is packaged to the measuring apparatus data in oil field, and is stored in by work(figure oil measuring system In database.
The domain knowledge includes document information, expertise and the reusable body of sensor field.
The hierarchy definition of the class is " is-a " relation；The hierarchy definition mode of the class include it is top-down and from bottom to On.
The attribute definition process of the class is：Sensor physical meaning can be represented by being extracted from sensor field document Specialized vocabulary, the attribute tags using these vocabulary as sensor body.
It is described that procedure below is included according to the semantization data of encapsulation progress work(figure gauging：
Q=1440*Ns*Ap*Spe
In formula, NsRepresent the jig frequency of oil pumper, ApRepresent plunger cross-sectional area, SpeRepresent plunger effective stroke.
The jig frequency and plunger cross-sectional area of the oil pumper are directly obtained by sensor device measurement.
The plunger effective stroke includes following calculating process：
Step 1：In the abscissa load x and ordinate displacement y of pump dynagraoph distribution several points；
Step 2：For the point on pump dynagraoph, the maximum X of abscissa is obtainedmaxWith minimum value Xmin, the maximum of ordinate Value YmaxWith minimum value Ymin；
Step 3：The discrete point of pump dynagraoph is normalized, forms normalization pump dynagraoph：
Wherein, Δ XiFor the abscissa each put after normalization, Δ YiFor the ordinate each put after normalization；
Step 4：Calculate the curvature value K of every bit in normalization pump dynagraophi：
P=(Li-1+Li+Li+1)/2
Wherein, KiFor the curvature value of every bit in normalization pump dynagraoph, the formula is the general formula for calculating curvature, its In, Li-1For (xi,yi) and (xi-1,yi-1The distance between), LiFor (xi,yi) and (xi+1,yi+1The distance between), Li+1For (xi+1,yi+1) and (xi-1,yi-1The distance between), P represents the half of three's sum, S for temporary variable△For point (xi,yi), (xi+1,yi+1), (xi-1,yi-1) surround the area of triangle；
Step 5：Calculate the curvature variation of normalization pump dynagraoph every bit：
δi=| Ki+1-Ki|
Wherein, δiTo close on the curvature difference of two points；
Step 6：Find out two points of upstroke and down stroke mean curvature change maximum respectively in pump dynagraoph is normalized, obtain Go out the absolute value of its abscissa difference, it is plunger effective stroke to compare absolute value small in two absolute values drawn.
Point in pump dynagraoph, the average value of its abscissa and the average value of ordinate are asked by five-spot, faced with each point The coordinate average value of nearly four points replaces point coordinates of the coordinate of the point as pump dynagraoph：
Wherein, xiFor the abscissa of each point in pump dynagraoph, yiFor the ordinate each put in pump dynagraoph, xi+1、 xi+2、xi-1、xi-2Represent the coordinate that each point closes on four points, yi+1、yi+2、yi-1、yi-2Represent the seat that each point closes on four points Mark,For abscissa average value,For ordinate average value.
The invention has the advantages that and advantage：
1. due to the introduction of semantic technology, work(figure oil measuring system is supplied to the body interface of user's specification, so that more The limited user of multicomputer knowledge can access work(figure oil measuring system, and when using work(figure oil measuring system, configuration is more Simplicity, operation are more prone to.
2. due to by the way of work(figure is analyzed, carrying out the metering of oil well output, this avoid original oil field manually to patrol Inspection, and need to stop the gauging mode that well measures, so as to save human resources while well need not be stopped, oil is improved indirectly The efficiency of well oil-producing.
Brief description of the drawings
Fig. 1 is the semantization Ontology database structure figure of the present invention.
Embodiment
Below in conjunction with the accompanying drawings and embodiment the present invention is described in further detail.
Such as the semantization Ontology database structure figure that Fig. 1 is the present invention.Oil field data semantization encapsulated phase includes ontological analysis, Body design, three processes of ontology construct.There is the participation of domain expert, the stage constructs an initial sensor body, Most basic concept and the prevailing relationship modeling of sensor and its observation are realized, is the basis of body processing stage.
Ontological analysis:Domain knowledge is obtained, the main source of ontology knowledge has the document information of sensor field, Zhuan Jiazhi Knowledge and reusable body.It should as far as possible include that system wants statement or to be explained to user all at this stage Concept.
Body design:For a large amount of field concept institutional frameworks, establish body frame or carried out on the basis of original framework Extension.The importance of each concept is assessed, selects key term, definition definition is provided, it is grouped according to respective rule, Realize that ontology modularization designs.
Ontology construct:First, the level of class and class is defined, the definition of class is clear and definite, ensures unambiguously, the hierarchy definition of class Top-down, bottom-up and synthesis can be selected as the case may be, and ensures that the grade of class is " is-a " relation, avoids class One class of circulation and guarantee should have direct subclass quantity for 2-12；Secondly, generic attribute and attribute facet are defined, the attribute of class can According to intrinsic characteristic, external characteristic, local and four kinds of characteristics of personal relationship are layered and defined, while according to the spy of property value Levy defined attribute constraint and facet, an attribute may be made up of multiple facets, including attribute value type, it is allowed to take Value, value number and other attribute value features；Finally, body is realized, with Formal Language Description sensor body.
After sensor body is established, the measuring apparatus data in oil field can be packaged using sensor body, work(figure Oil measuring system enters these data storages encapsulated in database, and in step 2, we will use these data.
SDL uses Java, and development kit uses JDK1.6, and developing instrument uses Myeclipse, data Storage instrument uses MySQL, and Ontology Language uses OWL, and body analytical tool uses Jena, and Ontology Editing Tool uses Prot é g é。
Sensor core body application is semantic sensors Internet of Things；Application target is good for one autgmentability of structure Sensor core body, appropriate class and individual can be added according to different application fields；Key concept is sensor, is passed Sensor characteristic, sensor observation, observation time, space and theme and corresponding information on services；Purposes be sensor and It, which is observed, provides shared ideas model, enriches the semanteme of sensing data, and realization is based on the sensor of time, space and theme semanteme It was found that.Reference sensor domain body and two Top-level Ontologies (SuMO bodies and DULCE bodies) and national sensor standard, The definition document of class is write, it is as shown in Figure 1 based on the level of body design structure class, its hierarchical structure.
It is divided into four major classes, respectively sensor, space, time, theme in ontology library.Sensor class includes sensing data (unit, frequency, data value), manufacture information (producer, software systems, hardware system), working condition (not upper electricity or damage, Work, dormancy), there is provided four subclasses of service (autonomous addition).Spatial class include administrative region (country, province, city, county/ Township), geographical coordinate (longitude, latitude) two classes.Time class includes active time (beginning one's duty the time, terminate active time), work Make time (cut-in time, power cut-off time) two classes.Theme class includes point of interest class (autonomous addition).Wherein independently add The class added will carry out semi-automatic addition according to particular user demand.
Work(figure gauging
All parameters of Liquid output are calculated, can be directly obtained or calculate by indicator card and sensor device, Indicator card is the closed curve that oil pumper load and displacement are formed under two-dimensional coordinate system, the data value each put on curve, by The semantic data of step 1 encapsulation is obtained, and the data of same sensor device are also obtained by Sem-ODM, and oil field individual well is per justice Think that the calculation formula of Liquid output is as follows：
Q=1440*Ns*Ap*Spe
N in formulasRepresent the jig frequency of oil pumper, ApRepresent plunger cross-sectional area, SpeRepresent plunger effective stroke.
The relational expression calculated using effective stroke involved by the method for yield is an accurate yield formula, it Subject matter is how to calculate the effective stroke S of plunger exactly by work(figurepe, NsAnd ApIt can be measured by sensor device Directly obtain, therefore, said power graph method measurement technology is exactly to select the more feasible side using plunger effective stroke Method realizes the calculating of underground ideal Liquid output.
After indicator to work(diagram data, effective stroke S is calculated in accordance with the following stepspe, jig frequency leads to sectional area Crossing sensor device can directly measure.
(1) 200 points-abscissa load x of pump dynagraoph, ordinate displacement y are drawn.
(2) for each point of step 1, using five-spot, the average value of its transverse and longitudinal coordinate is sought as the pump for continuing computing Work(figure.Formula is as follows, wherein xiFor the abscissa of each point in pump dynagraoph, yiFor the ordinate of each point, five-spot uses The coordinate average value that each point closes on five points replaces the coordinate of the point, is abscissa average value, is ordinate average value.
(3) each point of pump dynagraoph is directed to, obtains abscissa maximum X in pump dynagraophmaxWith minimum value Xmin, ordinate Maximum YmaxWith minimum value Ymin。
(4) pump dynagraoph discrete point is normalized, normalization formula is as follows, for the abscissa each put after normalization, is The ordinate each put after normalization, new pump dynagraoph is formed after normalization.
(5) the curvature value K of every bit in new pump dynagraoph is calculatedi, formula is as follows, wherein Li-1For (xi,yi) and (xi-1,yi-1) The distance between, LiFor (xi,yi) and (xi+1,yi+1The distance between), Li+1For (xi+1,yi+1) and (xi-1,yi-1) between away from From.
(6) curvature variation of new pump dynagraoph every bit is calculated, formula is as follows, that is, closes on the difference of the curvature of two points, uses Represent.
δi=| Ki+1-Ki|
(7) two maximum points of upstroke mean curvature change are found in new pump dynagraoph, their abscissa differences it is absolute Value is designated as C1, and two points that the change of down stroke mean curvature is maximum, the absolute value of the difference of their abscissas be designated as C2, C1With C2Less value is effective stroke.
Thus effective stroke is calculated, so as to calculate the individual well preferable Liquid output of one day.

Claims (9)

  1. A kind of 1. oil well work(figure metering method based on semanteme, it is characterised in that：The data message of oil well is carried out first semantic Change encapsulation, then carry out work(figure gauging according to the semantization data of encapsulation；
    The data message by oil well carries out semantization encapsulation and comprised the following steps：
    Step 1：Initial sensor body, analyte sensors body are built, and obtains domain knowledge；
    Step 2：The institutional framework of sensor body is designed according to domain knowledge, establishes sensor body framework；
    Step 3：The level of class and class is defined, according to the attribute and attribute facet of class and the hierarchy definition class of class, is retouched with OWL language State sensor body；Wherein, attribute facet includes attribute value type, it is allowed to value, value number and other attribute values Feature；
    Step 4：Sensor body is packaged to the measuring apparatus data in oil field, and is stored in data by work(figure oil measuring system In storehouse.
  2. 2. the oil well work(figure metering method according to claim 1 based on semanteme, it is characterised in that：The domain knowledge bag Include the document information, expertise and reusable body of sensor field.
  3. 3. the oil well work(figure metering method according to claim 1 based on semanteme, it is characterised in that：The level of the class is determined Justice is " is-a " relation.
  4. 4. the oil well work(figure metering method according to claim 1 based on semanteme, it is characterised in that：The level of the class is determined Right way of conduct formula includes top-down and bottom-up.
  5. 5. the oil well work(figure metering method according to claim 1 based on semanteme, it is characterised in that：The attribute of the class is determined Justice is：The specialized vocabulary for representing sensor physical meaning is extracted from domain knowledge, the attribute as sensor body Label.
  6. 6. the oil well work(figure metering method according to claim 1 based on semanteme, it is characterised in that：It is described according to encapsulation Semantization data, which carry out work(figure gauging, includes procedure below：
    Q=1440*Ns*Ap*Spe
    In formula, NsRepresent the jig frequency of oil pumper, ApRepresent plunger cross-sectional area, SpePlunger effective stroke is represented, Q is that individual well is daily Preferable Liquid output.
  7. 7. the oil well work(figure metering method according to claim 6 based on semanteme, it is characterised in that：The oil pumper rushes Secondary and plunger cross-sectional area is directly obtained by sensor device measurement.
  8. 8. the oil well work(figure metering method according to claim 6 based on semanteme, it is characterised in that：The plunger effectively rushes Journey includes following calculating process：
    Step 1：In the abscissa load x and ordinate displacement y of pump dynagraoph distribution several points；
    Step 2：For the point on pump dynagraoph, the maximum X of abscissa is obtainedmaxWith minimum value Xmin, the maximum of ordinate Ymax and minimum value Ymin；
    Step 3：The discrete point of pump dynagraoph is normalized, forms normalization pump dynagraoph：
    <mrow> <msub> <mi>&amp;Delta;X</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mover> <msub> <mi>X</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> <mo>-</mo> <msub> <mi>X</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>X</mi> <mi>max</mi> </msub> <mo>-</mo> <msub> <mi>X</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mfrac> </mrow>
    <mrow> <msub> <mi>&amp;Delta;Y</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mover> <msub> <mi>Y</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> <mo>-</mo> <msub> <mi>Y</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>Y</mi> <mi>max</mi> </msub> <mo>-</mo> <msub> <mi>Y</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mfrac> </mrow>
    Wherein, Δ XiFor the abscissa each put after normalization, Δ YiFor the ordinate each put after normalization；
    Step 4：Calculate the curvature value K of every bit in normalization pump dynagraophi：
    <mrow> <msub> <mi>K</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mn>4</mn> <msub> <mi>S</mi> <mi>&amp;Delta;</mi> </msub> </mrow> <mrow> <msub> <mi>L</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>&amp;CenterDot;</mo> <msub> <mi>L</mi> <mi>i</mi> </msub> <mo>&amp;CenterDot;</mo> <msub> <mi>L</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> </mrow> </mfrac> </mrow>
    P=(Li-1+Li+Li+1)/2
    <mrow> <msub> <mi>S</mi> <mi>&amp;Delta;</mi> </msub> <mo>=</mo> <msqrt> <mrow> <mi>P</mi> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <mi>P</mi> <mo>-</mo> <msub> <mi>L</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <mi>P</mi> <mo>-</mo> <msub> <mi>L</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <mi>P</mi> <mo>-</mo> <msub> <mi>L</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </msqrt> </mrow>
    <mrow> <msub> <mi>L</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>=</mo> <msqrt> <mrow> <msup> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow>
    <mrow> <msub> <mi>L</mi> <mi>i</mi> </msub> <mo>=</mo> <msqrt> <mrow> <msup> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>y</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow>
    <mrow> <msub> <mi>L</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>=</mo> <msqrt> <mrow> <msup> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow>
    Wherein, KiFor normalization pump dynagraoph in every bit curvature value, the formula for calculate curvature general formula, Li-1For (xi, yi) and (xi-1,yi-1The distance between), LiFor (xi,yi) and (xi+1,yi+1The distance between), Li+1For (xi+1,yi+1) with (xi-1,yi-1The distance between), P represents the half of three's sum, S for temporary variable△For point (xi,yi), (xi+1,yi+1), (xi-1,yi-1) surround the area of triangle；Wherein, xiFor the abscissa of each point in pump dynagraoph, yiFor in pump dynagraoph The ordinate each put, xi+1、xi-1Represent the coordinate that each point closes on two points, yi+1、yi-1Represent each point and close on two points Coordinate,For abscissa average value,For ordinate average value；
    Step 5：Calculate the curvature variation of normalization pump dynagraoph every bit：
    δi=| Ki+1-Ki|
    Wherein, δiTo close on the curvature difference of two points；
    Step 6：Find out two points of upstroke and down stroke mean curvature change maximum respectively in pump dynagraoph is normalized, draw it The absolute value of abscissa difference, it is plunger effective stroke to compare absolute value small in two absolute values drawn.
  9. 9. the oil well work(figure metering method according to claim 8 based on semanteme, it is characterised in that：Point in pump dynagraoph, The average value of its abscissa and the average value of ordinate are asked by five-spot, the coordinate average value generation of four points is closed on each point For point coordinates of the coordinate as pump dynagraoph of the point：
    <mrow> <mover> <msub> <mi>X</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> <mo>=</mo> <mfrac> <mrow> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>2</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>2</mn> </mrow> </msub> </mrow> <mn>5</mn> </mfrac> </mrow>
    <mrow> <mover> <msub> <mi>Y</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> <mo>=</mo> <mfrac> <mrow> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>2</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>y</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>2</mn> </mrow> </msub> </mrow> <mn>5</mn> </mfrac> </mrow>
    Wherein, xiFor the abscissa of each point in pump dynagraoph, yiFor the ordinate each put in pump dynagraoph, xi+1、xi+2、 xi-1、xi-2Represent the coordinate that each point closes on four points, yi+1、yi+2、yi-1、yi-2The coordinate that each point closes on four points is represented,For abscissa average value,For ordinate average value.
CN201510394721.XA 2015-07-07 2015-07-07 A kind of oil well work(figure metering method based on semanteme Active CN105260493B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510394721.XA CN105260493B (en) 2015-07-07 2015-07-07 A kind of oil well work(figure metering method based on semanteme

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510394721.XA CN105260493B (en) 2015-07-07 2015-07-07 A kind of oil well work(figure metering method based on semanteme

Publications (2)

Publication Number Publication Date
CN105260493A CN105260493A (en) 2016-01-20
CN105260493B true CN105260493B (en) 2018-04-03

Family

ID=55100183

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510394721.XA Active CN105260493B (en) 2015-07-07 2015-07-07 A kind of oil well work(figure metering method based on semanteme

Country Status (1)

Country Link
CN (1) CN105260493B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107038172A (en) * 2016-02-03 2017-08-11 中国科学院沈阳自动化研究所 A kind of oil field search engine construction method based on semanteme
CN109870902A (en) * 2017-12-05 2019-06-11 中国科学院沈阳自动化研究所 Based on stroke than the oil well maximum production mode control method with Dynamic Control Chart
CN109872018B (en) * 2017-12-05 2023-05-02 中国科学院沈阳自动化研究所 Oil pumping well yield calculation method based on indicator diagram
CN112377153B (en) * 2020-10-29 2021-11-30 中国科学院沈阳自动化研究所 Method for acquiring stroke and stroke frequency of beam-pumping unit based on acceleration sensor

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104699719A (en) * 2013-12-10 2015-06-10 中国科学院沈阳自动化研究所 Semantization method of Internet of things terminal equipment

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104699719A (en) * 2013-12-10 2015-06-10 中国科学院沈阳自动化研究所 Semantization method of Internet of things terminal equipment

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
基于油田领域本体的信息抽取技术研究;文必龙 等;《计算机技术与发展》;20150731;第25卷(第7期);第226-229页 *
基于泵示功图的抽油机井井口产量计算;高银中 等;《石油矿场机械》;20080525;第37卷(第5期);第88-92页 *
基于语义的领域虚拟数据中心研究与实现;李华昱 等;《计算机科学》;20110115;第38卷(第1期);第190-194页 *
抽油机井地面示功图量油技术研究;岳广韬;《中国优秀硕士学位论文全文数据库 工程科技辑I辑》;20111015(第10期);第B019-103页 *
石油勘探开发数据元管理技术;文必龙 等;《大庆石油学院学报》;20120215;第36卷(第1期);第83-87页 *

Also Published As

Publication number Publication date
CN105260493A (en) 2016-01-20

Similar Documents

Publication Publication Date Title
Pan et al. An optimized XGBoost method for predicting reservoir porosity using petrophysical logs
CN105260493B (en) A kind of oil well work(figure metering method based on semanteme
CN102750739B (en) Construction method of three-dimensional geologic model
CN103352693B (en) A kind of output prediction system based on oily content and method thereof
CN106321072B (en) A kind of oil well fault diagnostic method based on pump dynagraoph
RU2013148583A (en) METHOD FOR DYNAMIC EVALUATION OF COMPLIANCE WITH OIL COLLECTOR TECHNICAL REQUIREMENTS AND INCREASE OF PRODUCTION AND OIL PRODUCTION USING ASYMMETRIC ANALYSIS OF WORK INDICATORS
CN102041995A (en) System for monitoring complicated oil deposit flooding conditions
CN106150477A (en) A kind of method determining single well controlled reserves
CN109630095A (en) A kind of rod-pumped well operating mode&#39;s switch method and system based on multi-angle of view study
CN103778298B (en) The multi-level finite element modeling method of two dimension flow motion in the simulation porous media improved
CN103912248A (en) Method for predicting water contents of water-drive oilfields
CN106649968A (en) Visualization design system and method for village water supply pipeline network
CN109460354A (en) A method of test case reduction is carried out based on RDF reasoning
CN104712328B (en) The method of single flow unit producing status in Fast Evaluation Complex Reservoir
CN108764760A (en) A kind of inter well connectivity analysis and method for early warning based on data mining
CN107130955B (en) Method for determining bottom hole flowing pressure and method for determining natural energy of reservoir
CN105045958A (en) Implementation system and method of GPS (Global Positioning System) elevation fitting on the basis of BP (Back Propagation) neural network
Ban et al. The optimum interwell distance analysis of two-well-horizontal salt cavern construction
CN106014365B (en) A method of prediction waterflooding development Production Decline Prediction of Oilfield rate
Liu et al. Detection and evaluation technologies for using existing salt caverns to build energy storage
CN110348176A (en) A kind of shale gas ground transportation network rolling development scheme optimization solver and method
CN103334740B (en) Consider the method for the determination drainage front of free-boundary problem
CN103422852B (en) Gas Logging Value conversion control methods between a kind of different well
Tang et al. Prediction of casing damage in unconsolidated sandstone reservoirs using machine learning algorithms
Yufei et al. Application of big data analysis method in technology foresight for strategic emerging industries

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant