CN117449833B - Oil field oil-well pump running state analysis monitoring system - Google Patents
Oil field oil-well pump running state analysis monitoring system Download PDFInfo
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- 239000003129 oil well Substances 0.000 title claims abstract description 35
- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 238000004458 analytical method Methods 0.000 title claims abstract description 12
- 238000011156 evaluation Methods 0.000 claims abstract description 84
- 239000011159 matrix material Substances 0.000 claims abstract description 41
- 238000000034 method Methods 0.000 claims abstract description 32
- 238000005086 pumping Methods 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims abstract description 8
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 238000012163 sequencing technique Methods 0.000 claims description 14
- 239000003921 oil Substances 0.000 description 33
- 238000012502 risk assessment Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/008—Monitoring of down-hole pump systems, e.g. for the detection of "pumped-off" conditions
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Abstract
The invention relates to the field of oil-well pump monitoring in oil fields, and discloses an oil-well pump running state analysis and monitoring system in oil fields, which comprises the following components: the information acquisition module is used for acquiring the operation parameters of the oil pump; the data processing module is used for analyzing and processing the operation parameters to obtain an operation parameter matrix; the state monitoring module is used for evaluating the working state of the oil pump; the early warning module is used for judging whether an abnormal situation occurs according to the evaluation result; the control module is used for controlling the pumping unit according to the early warning signal; according to the invention, the preliminary judging process of the running state of the oil pump is realized by comparing the real-time running parameters of the oil pump with the standard parameter matrix, and once the risk is judged preliminarily, the high-level early warning signal is immediately sent out, and the control module controls the oil pump to hover actively according to the high-level early warning signal, so that the oil pump and the oil pump are prevented from being damaged due to sudden stop of the oil pump in the running process.
Description
Technical Field
The invention relates to the field of oil well pump monitoring in the oil field, in particular to an oil well pump running state analysis and monitoring system in the oil field.
Background
At present, the oil field is used as main equipment-the matching application of a ground pumping unit and an underground oil pump accounts for more than 80 percent, and how to analyze and diagnose the working condition of the underground oil pump on site is an important work, and relates to whether the ground crude oil can be lifted to the ground efficiently.
With the continuous development and progress of the technology in the oilfield industry in China, most of the oilfield enters the middle and later mining stage, the underground pump of the pumping unit is deeper, the operation conditions of the ground pumping unit and the underground oil pump are complex, and the management difficulty of the whole lifting system is increased; in particular, pump condition analysis and diagnosis are not timely, pump leakage and other detection limit timing is not accurate, oilfield production is seriously affected, and the service life of oil pumping equipment is short.
Disclosure of Invention
The invention aims to provide an oil-well pump running state analysis and monitoring system for an oil field, which solves the technical problems.
The aim of the invention can be achieved by the following technical scheme:
an oilfield oil well pump operating condition analysis monitoring system comprising:
The information acquisition module is used for acquiring the operation parameters of the oil pump;
The data processing module is used for analyzing and processing the operation parameters to obtain an operation parameter matrix;
the state monitoring module is used for evaluating the working state of the oil pump according to the processed data;
The early warning module judges whether an abnormal situation occurs according to the evaluation result, and if the abnormal situation exists, an alarm signal is sent out;
and the control module is used for receiving the early warning signal and controlling the pumping unit according to the type of the early warning signal.
According to the technical scheme, the real-time operation parameter matrix of the oil well pump is obtained, the standard parameter matrix is established according to historical data, the preliminary judgment process of the operation state of the oil well pump can be realized by comparing the real-time operation parameters of the oil well pump with the standard parameter matrix, and once the risk exists in preliminary judgment, a high-level early warning signal is immediately sent out, and the control module controls the oil well pump to hover actively according to the high-level early warning signal, so that the oil well pump and the oil well pump are prevented from being damaged due to sudden stop and swing in the operation process.
As a further technical solution, the operation parameter matrix is:
Fi＝|f1(x)...f(i)(x)...fn(x)|； (1)
By the formula:
Acquiring a weight coefficient matrix K i of the operation data;
wherein n is the number of data items; i is E [1, n ]; f i (x) is the function of the i-th operating parameter value; and the risk judgment coefficient is the risk judgment coefficient of the nth operation parameter.
The technical scheme provides a method for realizing primary risk assessment and secondary risk assessment of the operation state of an oil well pump, and specifically establishes a data matrix and a standard parameter matrix of each operation parameter, wherein each of the matrices F i and F 0i is provided with an operation parameter value function.
As a further technical scheme, the process of carrying out preliminary evaluation on the working state of the oil pump is as follows:
subtracting the operation parameter matrix F i from the standard parameter matrix by the formula:
fi(x)-f0i(x)＞0； (3)
When the condition of the formula (3) is met, judging that the oil pump has operation risk, and generating an advanced early warning signal;
Otherwise, judging the preliminary safety of the running state of the oil pump;
Wherein f 0i (x) is the function of the i-th standard operating parameter value.
As a further technical solution, the process of performing the secondary evaluation of the working state of the sucker pump comprises:
By the formula:
βi＝(F0i-Fi)×Ki； (4)
Calculating and obtaining a deviation coefficient beta i between the real-time operation parameter and a preset standard parameter;
f 0i is a standard parameter matrix corresponding to the ith operation parameter, and the standard parameter matrix is obtained through historical data fitting analysis;
And performing secondary evaluation according to the deviation coefficient beta i.
As a further technical solution, the process of performing the second evaluation according to the deviation coefficient β i includes:
Obtaining a deviation coefficient beta i of each operation parameter in a working time period, evaluating each standard operation parameter, and sequencing according to the evaluation value from large to small to obtain a first evaluation sequence;
Sequencing all real-time operation parameters according to a deviation coefficient beta i from small to large to obtain a second evaluation sequence; by the formula:
Calculating to obtain a key control value G mr of the r-th ordered operation parameter of the second evaluation sequence to the m-th standard parameter of the first evaluation sequence, wherein W m is an evaluation value of the m-th standard parameter of the first evaluation sequence, and r is an ordered value of the operation parameter in the second evaluation sequence; μ, τ are preset reference coefficients, and are determined by historical data and experimental data;
And sequencing the control values G mr from large to small, listing the operation parameters corresponding to the first three sequences in a key monitoring range, and sending out a primary early warning signal.
As a further technical solution, the acquiring process of the evaluation value includes:
By the formula:
Wm＝ρ1×Wm1+ρ2×Wm2； (6)
Calculating to obtain an evaluation value W m; wherein W m1 is a first evaluation coefficient and W m2 is a second evaluation coefficient; ρ 1、ρ2 is a preset scaling factor, which is determined by historical data and empirical data selection.
As a further technical solution, the obtaining process of the first evaluation coefficient W m1 is:
By the formula:
Calculating a first evaluation coefficient W m1 for obtaining an mth operation parameter;
Obtaining a deviation coefficient between an mth operation parameter of the pumping unit and a corresponding standard parameter in a working time period, and carrying out gradient division on the working time period according to a preset period;
Obtaining a variation curve beta i (t) of a deviation coefficient of an ith operating parameter with time and a variation curve beta 0 (t) of a deviation coefficient of an ith standard operating parameter under each time gradient;
Wherein t1 and t2 are two time endpoints under the j-th gradient; Δβ 0 is the reference deviation coefficient; θ is a preset scaling factor, which is selectively determined by historical data and empirical data, and k is the total number of gradients.
As a further technical solution, the obtaining process of the second evaluation coefficient W m2 is:
By the formula:
calculating to obtain a second evaluation coefficient W m2;
Wherein, For the average deviation coefficient of the ith operating parameter in the preset time period, β imax is the maximum deviation coefficient of the ith operating parameter in the preset time period.
The invention has the beneficial effects that:
(1) According to the invention, the real-time operation parameter matrix of the oil well pump is obtained, the standard parameter matrix is established according to the historical data, the preliminary judgment process of the operation state of the oil well pump is realized by comparing the real-time operation parameter of the oil well pump with the standard parameter matrix, and once the risk exists in preliminary judgment, the control module immediately sends out an advanced early warning signal, and the control module controls the oil well pump to hover actively according to the advanced early warning signal, so that the oil well pump and the oil well pump are prevented from being damaged due to sudden stop and swing caused by reasons in the operation process of the oil well pump.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a system architecture of the present invention;
FIG. 2 is a flow chart of the secondary evaluation of the operation safety state of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention is an analysis and monitoring system for the operation state of an oil pump in an oil field, comprising:
The information acquisition module is used for acquiring the operation parameters of the oil pump;
The data processing module is used for analyzing and processing the operation parameters to obtain an operation parameter matrix;
the state monitoring module is used for evaluating the working state of the oil pump according to the processed data;
The early warning module judges whether an abnormal situation occurs according to the evaluation result, and if the abnormal situation exists, an alarm signal is sent out;
and the control module is used for receiving the early warning signal and controlling the pumping unit according to the type of the early warning signal.
According to the technical scheme, the real-time operation parameter matrix of the oil well pump is obtained, the standard parameter matrix is established according to the historical data, the preliminary judgment process of the operation state of the oil well pump is realized by comparing the real-time operation parameter of the oil well pump with the standard parameter matrix, the high-level early warning signal is immediately sent out once the risk exists in preliminary judgment, and the control module controls the oil well pump to actively hover according to the high-level early warning signal, so that the oil well pump and the oil well pump are prevented from being damaged due to sudden stop of the oil well pump in the operation process; and acquiring a weight coefficient matrix of the corresponding real-time operation parameter according to each standard operation parameter, wherein the weight matrix is set by the system according to the operation parameter monitoring tendency of the oil pump, so that the operation parameter which is subjected to key monitoring can be adaptively determined according to the operation parameter monitoring tendency setting when secondary evaluation and judgment are carried out, and the accuracy and the rapidity of operation state monitoring are further improved.
The operation parameters of the oil pump in the invention include, but are not limited to, inlet and outlet pressure, temperature, stroke, noise during operation and various parameters on the oil pump; the above-mentioned operation parameters are all detected through the detection means in the prior art, for example, temperature sensors are installed at each node of the oil pump, pressure sensors, infrared range finders, acoustic pressure sensors and the like detect various physical quantities of the oil pump, and the installation and detection processes are all realized by adopting the prior art, so that redundant description is omitted.
The operation parameter matrix is as follows:
Fi＝|f1(x)...f(i)(x)...fn(x)|； (1)
By the formula:
acquiring a weight coefficient matrix K 1 of the operation data;
wherein n is the number of data items; i is E [1, n ]; f i (x) is the function of the i-th operating parameter value; and the risk judgment coefficient is the risk judgment coefficient of the nth operation parameter.
The process of carrying out preliminary evaluation on the working state of the oil pump comprises the following steps:
subtracting the operation parameter matrix F i from the standard parameter matrix by the formula:
fi(x)-f0i(x)＞0； (3)
When the condition of the formula (3) is met, judging that the oil pump has operation risk, and generating an advanced early warning signal;
Otherwise, judging the preliminary safety of the running state of the oil pump;
Wherein f 0i (x) is the function of the i-th standard operating parameter value.
The process of carrying out secondary evaluation on the working state of the oil pump comprises the following steps:
By the formula:
βi＝(F0i-Fi)×Ki； (4)
Calculating and obtaining a deviation coefficient beta i between the real-time operation parameter and a preset standard parameter;
f 0i is a standard parameter matrix corresponding to the ith operation parameter, and the standard parameter matrix is obtained through historical data fitting analysis;
And performing secondary evaluation according to the deviation coefficient beta i.
Through the technical scheme, a method for realizing preliminary risk assessment and secondary risk assessment of the oil well pump operation state is provided, specifically, a data matrix and a standard parameter matrix of each operation parameter are established, wherein each item of the matrix F i and F 0i is provided with an operation parameter value function, the operation parameter value function is divided and set according to the corresponding operation parameter type, each operation parameter type is divided into a plurality of grades, each grade is respectively assigned, for example, for noise decibel items, the noise decibel items are divided into five grades of low decibel, sub-low decibel, medium decibel, sub-high decibel and high decibel, the decibel data range of each grade is determined according to experimental data statistics, each decibel item grade sets a score value, then the corresponding score matrix can be obtained by inputting the decibel grade in the operation parameter into the corresponding data value function F i (x), the corresponding standard decibel parameter requirement is input into the corresponding F x0 function, the corresponding standard score matrix can be obtained, when the comparison process of the two matrixes is satisfied, for example, the noise decibel item F i(x)-f0i (x) 0 condition is satisfied, the influence factor is judged to be larger than the absolute value, and the accuracy of the operation parameter is not influenced by the corresponding parameter is larger than the preset in the corresponding operation parameter value, and the running parameter is not set, and the running parameter is more than the running parameter is equal to the running parameter is more than the corresponding coefficient is equal to the running parameter is set, and the running parameter is not has a larger than the coefficient value, and the running parameter is corresponding coefficient is corresponding to the running parameter value is corresponding to the coefficient according to the running parameter value.
The process of performing the second evaluation according to the deviation coefficient beta i includes:
Obtaining a deviation coefficient beta i of each operation parameter in a working time period, evaluating each standard operation parameter, and sequencing according to the evaluation value from large to small to obtain a first evaluation sequence;
Sequencing all real-time operation parameters according to a deviation coefficient beta i from small to large to obtain a second evaluation sequence; by the formula:
Calculating to obtain a key control value G mr of the r-th ordered operation parameter of the second evaluation sequence to the m-th standard parameter of the first evaluation sequence, wherein W m is an evaluation value of the m-th standard parameter of the first evaluation sequence, and r is an ordered value of the operation parameter in the second evaluation sequence; μ, τ are preset reference coefficients, and are determined by historical data and experimental data;
And sequencing the control values G mr from large to small, listing the operation parameters corresponding to the first three sequences in a key monitoring range, and sending out a primary early warning signal.
Through the technical scheme, the invention provides a specific method for secondary evaluation of the running state of an oil well pump, which comprises the steps of firstly evaluating the standard running parameters according to the deviation coefficient beta i of each running parameter in a working time period, and sequencing the standard running parameters according to the evaluation values from large to small to obtain a first evaluation sequence; and then sequencing the real-time operation parameters according to the deviation coefficient beta i from large to small to obtain a second evaluation sequence, and then according to the formula: The key control value G mr of the mth sorting operation parameter of the second evaluation sequence to the mth standard parameter of the first evaluation sequence is obtained through calculation, and obviously, the higher the evaluation value is, the greater the operation safety influence of the operation parameter to the oil pump is indicated, that is, the greater the safety risk of the operation parameter is, and the weight coefficient K i corresponding to each operation parameter can be readjusted according to the evaluation value; δ by formula K 0i＝Ki+Wm; wherein K 0i is the adjusted weight coefficient, delta is the conversion coefficient, and is selected and determined according to historical experience data; obviously, the larger the evaluation value is, the larger the weight coefficient of the item is; the smaller the real-time deviation coefficient in each operation parameter is, the earlier the sequencing is, and the obvious/> The larger the operation parameter is, the smaller the operation safety influence of the operation parameter on the oil pump is; mu > tau;
Therefore, by calculating the control value G mr, the evaluation process obtained by comprehensively judging the deviation sequencing between each operation parameter and the standard parameter of the oil pump and the evaluation value of the operation parameter in real time can be more accurate, and further on the premise of preliminarily judging the safety of each operation parameter, the operation parameters with larger evaluation value and front deviation coefficient sequencing are ensured to be monitored in a key way, namely the operation parameters with the front three operation parameters sequenced by the monitoring control value G mr are monitored again in the next working time period, so that the operation parameters of the safety risk of the oil pump are predicted in advance, the probability of success in risk prediction is improved, and the accuracy of safety operation monitoring of the oil pump is facilitated.
The process for obtaining the evaluation value comprises the following steps:
By the formula:
Wm＝ρ1×Wm1+ρ2×Wm2； (6)
Calculating to obtain an evaluation value W m; wherein W m1 is a first evaluation coefficient and W m2 is a second evaluation coefficient; ρ 1、ρ2 is a preset scaling factor, which is determined by historical data and empirical data selection.
The obtaining process of the first evaluation coefficient W m1 is as follows:
By the formula:
Calculating a first evaluation coefficient W m1 for obtaining an mth operation parameter;
Obtaining a deviation coefficient between an mth operation parameter of the pumping unit and a corresponding standard parameter in a working time period, and carrying out gradient division on the working time period according to a preset period;
Obtaining a variation curve beta i (t) of a deviation coefficient of an ith operating parameter with time and a variation curve beta 0 (t) of a deviation coefficient of an ith standard operating parameter under each time gradient;
Wherein t1 and t2 are two time endpoints under the j-th gradient; Δβ 0 is the reference deviation coefficient; θ is a preset scaling factor, which is selectively determined by historical data and empirical data, and k is the total number of gradients.
Through the above calculation process, it is obvious that the running condition of the current running parameter is assisted to be judged by accumulating the deviation value of the real-time running parameter relative to the standard running parameter, and the higher the first evaluation coefficient W m1 is, the larger the accumulated deviation of the change of the relative standard running parameter is, and the stability of the running parameter can be judged to be unstable, so that the final safety risk of the running parameter is assisted to be judged to be higher;
The second evaluation coefficient W m2 is obtained by the following steps:
By the formula:
calculating to obtain a second evaluation coefficient W m2;
Wherein, For the average deviation coefficient of the ith operating parameter in the preset time period, β imax is the maximum deviation coefficient of the ith operating parameter in the preset time period.
Through the technical scheme, the method for acquiring the evaluation value is provided, firstly, byAndAnd substituting the evaluation value into W m＝ρ1×Wm1+ρ2×Wm2 to calculate an evaluation value, wherein the evaluation value can comprehensively judge the conditions of each operation parameter according to the comprehensive conditions of the first evaluation coefficient and the second evaluation coefficient in the previous working time period, and provides an object for the key monitoring of the oil pump in the next working time period.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (4)
1. An oilfield oil well pump operating condition analysis monitoring system, comprising:
The information acquisition module is used for acquiring the operation parameters of the oil pump;
The data processing module is used for analyzing and processing the operation parameters to obtain an operation parameter matrix;
the state monitoring module is used for evaluating the working state of the oil pump according to the processed data;
The early warning module judges whether an abnormal situation occurs according to the evaluation result, and if the abnormal situation exists, an alarm signal is sent out;
The control module receives the early warning signal and controls the pumping unit according to the type of the early warning signal;
the operation parameter matrix is as follows:
Fi＝|f1(x)...f(i)(x)...fn(x)|； (1)
By the formula:
Acquiring a weight coefficient matrix K i of the operation data;
wherein n is the number of data items; i is E [1, n ]; f i (x) is the function of the i-th operating parameter value; a risk judgment coefficient for the nth operating parameter;
the process of carrying out preliminary evaluation on the working state of the oil pump comprises the following steps:
subtracting the operation parameter matrix F i from the standard parameter matrix by the formula:
fi(x)-f0i(x)＞0； (3)
When the condition of the formula (3) is met, judging that the oil pump has operation risk, and generating an advanced early warning signal;
Otherwise, judging the preliminary safety of the running state of the oil pump;
wherein f 0i (x) is the function of the i-th standard operating parameter value;
the process of carrying out secondary evaluation on the working state of the oil pump comprises the following steps:
By the formula:
βi＝(F0i-Fi)×Ki； (4)
Calculating and obtaining a deviation coefficient beta i between the real-time operation parameter and a preset standard parameter;
f 0i is a standard parameter matrix corresponding to the ith operation parameter, and the standard parameter matrix is obtained through historical data fitting analysis;
performing secondary evaluation according to the deviation coefficient beta i;
the process of performing the second evaluation according to the deviation coefficient beta i includes:
Obtaining a deviation coefficient beta i of each operation parameter in a working time period, evaluating each standard operation parameter, and sequencing according to the evaluation value from large to small to obtain a first evaluation sequence;
Sequencing all real-time operation parameters according to a deviation coefficient beta i from small to large to obtain a second evaluation sequence; by the formula:
Calculating to obtain a key control value G mr of the r-th ordered operation parameter of the second evaluation sequence to the m-th standard parameter of the first evaluation sequence, wherein W m is an evaluation value of the m-th standard parameter of the first evaluation sequence, and r is an ordered value of the operation parameter in the second evaluation sequence; μ, τ are preset reference coefficients, and are determined by historical data and experimental data;
And sequencing the control values G mr from large to small, listing the operation parameters corresponding to the first three sequences in a key monitoring range, and sending out a primary early warning signal.
2. The system for analyzing and monitoring the operation state of an oil well pump in an oil field according to claim 1, wherein the process for obtaining the evaluation value comprises:
By the formula:
Wm＝ρ1×Wm1+ρ2×Wm2；(6)
Calculating to obtain an evaluation value W m; wherein W m1 is a first evaluation coefficient and W m2 is a second evaluation coefficient; ρ 1、ρ2 is a preset scaling factor, which is determined by historical data and empirical data selection.
3. The system for analyzing and monitoring the operation state of an oil well pump according to claim 2, wherein the process of obtaining the first evaluation coefficient W m1 is:
By the formula:
Calculating a first evaluation coefficient W m1 for obtaining an mth operation parameter;
Obtaining a deviation coefficient between an mth operation parameter of the pumping unit and a corresponding standard parameter in a working time period, and carrying out gradient division on the working time period according to a preset period;
Obtaining a variation curve beta i (t) of a deviation coefficient of an ith operating parameter with time and a variation curve beta 0 (t) of a deviation coefficient of an ith standard operating parameter under each time gradient;
Wherein t1 and t2 are two time endpoints under the j-th gradient; Δβ 0 is the reference deviation coefficient; θ is a preset scaling factor, which is selectively determined by historical data and empirical data, and k is the total number of gradients.
4. The system for analyzing and monitoring the operation state of an oil well pump according to claim 2, wherein the process of obtaining the second evaluation coefficient W m2 is:
By the formula:
calculating to obtain a second evaluation coefficient W m2;
Wherein, For the average deviation coefficient of the ith operating parameter in the preset time period, β imax is the maximum deviation coefficient of the ith operating parameter in the preset time period.
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