CN111625916A - Method and system for calculating stability value of well wall - Google Patents
Method and system for calculating stability value of well wall Download PDFInfo
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- CN111625916A CN111625916A CN201910141176.1A CN201910141176A CN111625916A CN 111625916 A CN111625916 A CN 111625916A CN 201910141176 A CN201910141176 A CN 201910141176A CN 111625916 A CN111625916 A CN 111625916A
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Abstract
The invention provides a method for calculating a borehole wall stability value, which comprises the following steps: determining correlation influence parameters influencing the stability value of the well wall according to historical statistical data, acquiring adjacent well data according to the correlation influence parameters, and substituting the adjacent well data into a multiple regression analysis equation to calculate to obtain a regression coefficient; acquiring actual measurement data of the well to be analyzed according to the associated influence parameters; and calculating to obtain the well wall stability value of the well to be analyzed according to the measured data, the regression coefficient and the multiple regression analysis equation. The invention combines various associated influence parameters, obtains the stability value of the well wall based on the multiple regression algorithm, and the associated influence parameters can be correspondingly adjusted according to the field conditions, thereby having good maneuverability. Moreover, the stability state of the well wall can be automatically monitored without manual intervention, and the effect of intelligently monitoring the stability of the well wall is achieved. In addition, factors such as stratum lithology and the like are considered, the method is suitable for various stratums, the considered factors are comprehensive, and the method has more diversity and accuracy in prediction of the stability of the well wall.
Description
Technical Field
The invention relates to the field of drilling engineering, in particular to a method and a system for calculating a borehole wall stability value.
Background
In the drilling process, the optimized drilling technology can reduce the drilling cost and reduce construction accidents, and the prediction of well wall stability is the basis of safe drilling. The problem of well wall stability is a very complex problem often encountered in drilling engineering. Prior to drilling, a formation buried deep in the ground is in equilibrium with the combined effects of overburden pressure, maximum horizontal ground stress, minimum horizontal ground stress, and pore pressure. After the well is opened, the rock in the well is taken away, the rock on the well wall loses the original support, mud hydrostatic pressure is used as a substitute, under the new condition, the stress of the well is redistributed, very high stress concentration is generated near the well wall, and if the rock strength is not high enough, the unstable phenomenon of the well wall can occur.
The existing well wall stability prediction method is various, the considered influence factors are emphasized, most equations are simplified, and the prediction precision cannot meet the field requirement; even if a few equations are considered comprehensively, due to the complex structure and poor operability, the practicability is limited to a certain extent.
Therefore, the invention provides a method and a system for calculating a borehole wall stability value.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method for calculating a borehole wall stability value, comprising the following steps:
determining an associated influence parameter influencing a well wall stability value according to historical statistical data, acquiring adjacent well data according to the associated influence parameter, and substituting the adjacent well data into a multiple regression analysis equation to calculate to obtain a regression coefficient;
acquiring actual measurement data of the well to be analyzed according to the correlation influence parameters;
and calculating to obtain the well wall stability value of the well to be analyzed according to the measured data, the regression coefficient and the multiple regression analysis equation.
According to one embodiment of the invention, the associated impact parameters comprise: coefficient of rock drillability x1Geological strength index x2Coefficient of ground stress x3Collapse pressure x4Rupture pressure x5Borehole size x6Bottom hole pressure differential x7And logging data coefficient x8。
According to one embodiment of the invention, the multiple regression analysis equation is represented by the following formula:
y＝β0+β1x1+β2x2+β3x3+β4x4+β5x5+β6x6+β7x7+β8x8+
where y represents the borehole wall stability value, β0、β1、β2、β3、β4、β5、β6、β7And β8The regression coefficients are expressed, representing the random error.
According to an embodiment of the present invention, the step of acquiring measured data of the well to be analyzed according to the associated influence parameter further includes the following steps:
and acquiring n groups of measured data of the well to be analyzed according to a preset time interval, wherein n represents a natural number greater than zero.
According to an embodiment of the present invention, the step of calculating the borehole wall stability value of the well to be analyzed according to the measured data, the regression coefficient, and the multiple regression analysis equation further includes the following steps:
calculating a borehole wall stability value corresponding to each set of measured data in the n sets of measured data according to the multiple regression analysis equation to obtain n sets of borehole wall stability values;
and calculating the well wall stability value of the well to be analyzed according to the n groups of well wall stability values.
According to an embodiment of the present invention, the borehole wall stability value of the well to be analyzed is calculated according to the following formula:
wherein the content of the first and second substances,0representing the value of the wall stability of the well to be analyzed, yiAnd (3) showing the borehole wall stability value corresponding to the ith group of measured data (i is 1, 2, …, n).
According to one embodiment of the invention, the method further comprises:
and after the actual measurement data are acquired, carrying out average value and false data processing on the actual measurement data.
According to one embodiment of the invention, the method further comprises:
and comparing the obtained stability value of the well wall of the well to be analyzed with a preset threshold value, and performing well wall stability early warning after the preset threshold value is exceeded.
According to another aspect of the present invention, there is also provided a borehole wall stability value calculation system, the system comprising:
the regression coefficient module is used for determining correlation influence parameters influencing the stability value of the well wall according to historical statistical data, acquiring adjacent well data according to the correlation influence parameters, and substituting the adjacent well data into a multiple regression analysis equation to calculate and obtain a regression coefficient;
the acquisition module is used for acquiring and obtaining the measured data of the well to be analyzed according to the correlation influence parameters;
and the calculation module is used for calculating and obtaining the well wall stability value of the well to be analyzed according to the measured data, the regression coefficient and the multiple regression analysis equation.
According to one embodiment of the invention, the acquisition module comprises:
and the interval acquisition unit is used for acquiring n groups of measured data of the well to be analyzed according to a preset time interval, wherein n represents a natural number greater than zero.
The method for calculating the well wall stability value provided by the invention combines various associated influence parameters, obtains the well wall stability value based on a multiple regression algorithm, and has good maneuverability, and the associated influence parameters can be correspondingly adjusted according to the field conditions. In addition, the invention can automatically monitor the stability state of the well wall without manual intervention, thereby achieving the effect of intelligently monitoring the stability of the well wall. In addition, the method also considers factors such as stratum lithology and the like, is suitable for various stratums, has comprehensive consideration factors, and has more diversity and accuracy in the prediction of the stability of the well wall.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 illustrates a flow chart of a borehole wall stability value calculation method according to one embodiment of the present invention;
FIG. 2 illustrates a flow chart of a borehole wall stability value calculation method according to another embodiment of the present invention; and
FIG. 3 shows a block diagram of a borehole wall stability value calculation system, according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
FIG. 1 shows a flow chart of a borehole wall stability value calculation method according to one embodiment of the present invention.
At present, the stability of the well wall is determined through a traditional mechanism or a three-pressure profile, the considered influence factors are not comprehensive enough, the stability of the well wall needs to be judged manually according to the three pressures, different stratums have different calculation modes, and many parameters are difficult to obtain.
As shown in fig. 1, in step S101, relevant influence parameters affecting the borehole wall stability value are determined according to the historical statistical data, adjacent well data are obtained according to the relevant influence parameters, and the adjacent well data are substituted into a multiple regression analysis equation to calculate a regression coefficient.
According to one embodiment of the invention, associating the impact parameter comprises: coefficient of rock drillability x1Geological strength index x2Coefficient of ground stress x3Collapse pressure x4Rupture pressure x5Borehole size x6Bottom hole pressure differential x7And logging data coefficient x8。
In one embodiment, the multiple regression analysis equation is as follows:
y＝β0+β1x1+β2x2+β3x3+β4x4+β5x5+β6x6+β7x7+β8x8+
where y represents the borehole wall stability value, β0、β1、β2、β3、β4、β5、β6、β7And β8Expressing the regression coefficients, expressing the random error the regression coefficients were calculated from the neighbor well data and the multiple regression analysis equation, β1、β2、β3、β4、β5、β6、β7And β8Respectively representing the rock drillability coefficient x1Geological strength index x2Coefficient of ground stress x3Collapse pressure x4Rupture pressure x5Borehole size x6Bottom hole pressure differential x7And logging data coefficient x8The correlation coefficient of (2).
After the regression coefficient is obtained, in step S102, the measured data of the well to be analyzed is acquired and obtained according to the associated influence parameter.
According to an embodiment of the present invention, the step of collecting the measured data may be: and acquiring measured data of n groups of wells to be analyzed according to a preset time interval, wherein n represents a natural number greater than zero.
Finally, in step S103, a borehole wall stability value of the well to be analyzed is calculated according to the measured data, the regression coefficient and the multiple regression analysis equation.
According to one embodiment of the invention, the borehole wall stability value corresponding to each set of measured data in the n sets of measured data is calculated according to a multiple regression analysis equation to obtain n sets of borehole wall stability values. And then, calculating to obtain the well wall stability value of the well to be analyzed according to the n groups of well wall stability values.
In one embodiment, the equation for calculating the wall stability value for the well under analysis is as follows:
wherein the content of the first and second substances,0representing the wall stability value, y, of the well to be analyzediAnd (3) showing the borehole wall stability value corresponding to the ith group of measured data (i is 1, 2, …, n).
Preferably, after the actual measurement data is acquired, the actual measurement data is subjected to average value and false data processing.
In addition, the obtained stability value of the well wall of the well to be analyzed can be compared with a preset threshold value, and after the stability value exceeds the preset threshold value, the well wall stability early warning is carried out.
The method for calculating the well wall stability value shown in fig. 1 is based on multiple regression, and performs well wall stability prediction on the whole well section in the drilling process to obtain a correlation value reflecting the well wall stability, identifies the well wall stability in time in the drilling construction process, and takes countermeasures, thereby avoiding the occurrence of drilling risks to the maximum extent.
The method for calculating the stability value of the well wall combines various influence parameters, obtains the stability value of the well wall based on a multiple regression algorithm, can obtain coefficients in multiple regression mode after eight influence parameters are obtained on site, is 0 for data coefficients which cannot be obtained, is convenient to apply on site, automatically monitors the stability state of the well wall, does not need manual intervention, achieves intelligent monitoring of the stability of the well wall, considers factors such as stratum lithology and the like as influence parameters, is suitable for various stratums, is comprehensive in consideration factors, and has more diversity and accuracy in prediction of the stability of the well wall.
FIG. 2 illustrates a flow chart of a method for calculating a borehole wall stability value according to another embodiment of the present invention.
As shown in fig. 2, in step S201, the borehole wall stability influence parameters are determined to be data samples such as logging data, rock drillability coefficient, geological strength index GSI, ground stress coefficient, collapse pressure, fracture pressure and bottom hole pressure difference. In addition to the seven influencing parameters mentioned above, the borehole dimensions also have an influence on the stability of the borehole wall.
The process of determining the borehole wall stability influencing parameter can be as follows: and (4) carrying out sorting analysis on data and data of the well wall unstable well, counting the change of all parameters, and carrying out statistical analysis to obtain the well wall stability influence parameters.
The rock drillability coefficient comprises rock strength, the influence of the drill bit type and drilling fluid performance related to the drillability on borehole wall stability, and the rock drillability coefficient of the stratum is obtained in order to consider the borehole wall condition of different stratum lithologies.
The geological strength index GSI reflects the comprehensive relationship of mechanical parameters such as elastic modulus, Poisson's ratio, tensile strength, compressive strength and the like.
The ground stress coefficient is a ratio of the maximum level ground stress and the minimum level ground stress. The collapse pressure is the value of the collapse pressure.
The breaking pressure isFracture pressure value. The borehole size may be calculated from the borehole diameter. Bottom hole pressure difference: TVD gp-EMW(PWD)/TVD。
The equivalent mud weight EMW or the pressure while drilling PWD can be obtained by real-time calculation according to a well structure, a borehole track, a drilling tool structure, mud performance, drilling process parameters collected in real time and the like. Wherein TVD represents the buried depth of the rock, gpDenotes the formation pore pressure gradient, gpHas a unit of g/cm3。
The real-time logging data coefficients include total pool volume, inlet flow, and the like. The coefficient value is only 1 or 2, the coefficient value is obtained according to the real-time data change of the total pool volume and the inlet flow, and the amplitude of the change rule of the data in the well depth section is 1 and 2.
After the impact parameters are determined, in step S202, data samples such as logging data, drilling data rock drillability coefficient, geological strength index GSI, ground stress coefficient, collapse pressure, fracture pressure, bottom hole pressure difference, and the like of neighboring wells of the oilfield block are collected. In this step, data information about the influence parameters of the adjacent wells in the oilfield block to which the well to be analyzed belongs needs to be collected.
Then, in step S203, a correlation coefficient is determined from the collected data by determining a correlation coefficient β according to a multiple regression algorithm in combination with the area big data1-β8。
In this step, the correlation parameter is confirmed based on the influence parameter. In general, multiple regression analysis is based on known values of variables (influencing parameter x)1、x2、…、xm) Substituting into the regression equation to obtain the estimated value of the dependent variable (predicted value y)m) Thereby effectively predicting the occurrence and development of certain phenomena. Assume dependent variable ymAnd the independent variable x1、x2、…、xmThere is a linear relationship between them, and its mathematical model is:
yj＝β0+β1x1j+β2x2j+…+βmxmj+j(j＝1,2,…n)
in one embodiment of the inventionRespectively calculating x from a large amount of data such as drilling parameters, geological stratification, pressure gradient and drill bit characteristics in logging data according to adjacent well data1、x2、…、x8Establishing multiple regression equation to obtain the regression coefficient β0～β8And a correlation coefficient β1-β8。
The multiple regression analysis equation adopted by the invention is as follows:
y＝β0+β1x1+β2x2+β3x3+β4x4+β5x5+β6x6+β7x7+β8x8+
where y represents the borehole wall stability value, β0、β1、β2、β3、β4、β5、β6、β7And β8Expressing the regression coefficients, expressing the random error the regression coefficients were calculated from the neighbor well data and the multiple regression analysis equation, β1、β2、β3、β4、β5、β6、β7And β8Respectively representing the rock drillability coefficient x1Geological strength index x2Coefficient of ground stress x3Collapse pressure x4Rupture pressure x5Borehole size x6Bottom hole pressure differential x7And logging data coefficient x8The correlation coefficient of (2).
After the regression coefficients are obtained, in step S204, real-time influence parameters of the key well are collected, and the well wall stability value of the whole well section is analyzed according to the association coefficient and the large data of the area. In practical application, the key well is a well to be analyzed, and actual measurement data of a drilled well to be analyzed can be obtained, wherein the actual measurement data comprises original data of a plurality of influence parameters, including logging data, drilling fluid, drilling tool data, drill bit data and the like.
In one embodiment, the manner of obtaining the measured data is: starting from the 1 st point of starting monitoring, collecting relevant parameters (well depth) from real-time logging dataTorque, inlet flow, outlet flow, total pit volume, weight on bit, hook load, riser pressure, time on bit, rotational speed, etc.), the most raw data was obtained using the data for the drilling fluid properties, the drilling assembly and the drill bit on site, and a time sequence was determined as { x (T) over a certain time interval of △ Ti) Averaging the input parameters (parameters related to real-time logging data acquisition), and processing false data, wherein 6 groups of data are acquired according to the time interval △ T to obtain actual measurement data.
Finally, in step S205, a final borehole wall stability value is calculated: and fusing the calculation results of the steps to calculate the final well wall stability value.
In one embodiment, for the first set of data, the impact parameters are calculated to obtain impact parameter values: x is the number of1、x2、…、x8Substituting regression coefficients β0～β8. To obtain y1. Calculating y from the set of data 22The average value of the first 5 points after the 5 th point is calculated in turn, and the 5 points are divided by particularly large or small values. Finally, y is obtained by calculation6Y is obtained by the following formula0
In addition, the stability value of the well wall to be analyzed can be obtained according to the last obtained stability value of the well wall0And comparing the data with an artificially set well wall stability threshold value (preset threshold value), and performing early warning if the data exceeds the limit.
According to the method for calculating the well wall stability value, tests and applications are carried out in a key well drilling construction monitoring project of a certain oil field block, logging data, drilling fluid, drilling tools, drill bit data, rock drillability coefficients, geological strength indexes GSI, ground stress coefficients, collapse pressure, fracture pressure, EMW and other data samples of adjacent wells of the oil field block are collected, and the correlation coefficient β is regressed according to a multiple regression algorithm0～β8And calculating the stability coefficient of the well wall according to the data of the key well. When the monitoring well X drills to 5138 meters, the stability coefficient of the well wall is out of limit,the prompt of well wall stability is given, and a field engineer deeply analyzes the situation, so that the occurrence of one-time well wall collapse is avoided. The well wall stability prediction probability is high, the prediction precision reaches 90%, and the established equation can meet the requirements of well drilling construction. The method improves the prediction precision of the well wall, has relatively simple calculation process, easily obtains the used data, and has important significance for the popularization of the safe drilling technology.
FIG. 3 shows a block diagram of a borehole wall stability value calculation system, according to an embodiment of the present invention.
As shown in fig. 3, the computing system 300 includes a regression coefficient module 301, an acquisition module 302, and a calculation module 303. Wherein, the acquisition module 302 comprises an interval acquisition unit 3021.
The regression coefficient module 301 is configured to determine an associated influence parameter that influences the borehole wall stability value according to the historical statistical data, obtain adjacent well data according to the associated influence parameter, and substitute the adjacent well data into a multiple regression analysis equation to calculate a regression coefficient.
The collecting module 302 is configured to collect measured data of the well to be analyzed according to the associated influence parameters. The interval collection unit 3021 is configured to collect measured data of n groups of wells to be analyzed according to a preset time interval, where n represents a natural number greater than zero.
The calculation module 303 is configured to calculate a borehole wall stability value of the well to be analyzed according to the measured data, the regression coefficient, and the multiple regression analysis equation.
In summary, the method for calculating the borehole wall stability value provided by the invention combines various associated influence parameters, obtains the borehole wall stability value based on the multiple regression algorithm, and has good maneuverability, and the associated influence parameters can be correspondingly adjusted according to the field conditions. In addition, the invention can automatically monitor the stability state of the well wall without manual intervention, thereby achieving the effect of intelligently monitoring the stability of the well wall. In addition, the method also considers factors such as stratum lithology and the like, is suitable for various stratums, has comprehensive consideration factors, and has more diversity and accuracy in the prediction of the stability of the well wall.
It is to be understood that the disclosed embodiments of the invention are not limited to the particular structures, process steps, or materials disclosed herein but are extended to equivalents thereof as would be understood by those ordinarily skilled in the relevant arts. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.
Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment" or "an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for calculating a borehole wall stability value, the method comprising the steps of:
determining an associated influence parameter influencing a well wall stability value according to historical statistical data, acquiring adjacent well data according to the associated influence parameter, and substituting the adjacent well data into a multiple regression analysis equation to calculate to obtain a regression coefficient;
acquiring actual measurement data of the well to be analyzed according to the correlation influence parameters;
and calculating to obtain the well wall stability value of the well to be analyzed according to the measured data, the regression coefficient and the multiple regression analysis equation.
2. The method of claim 1, wherein the associating impact parameters comprises: coefficient of drillability of rockx1Geological strength index x2Coefficient of ground stress x3Collapse pressure x4Rupture pressure x5Borehole size x6Bottom hole pressure differential x7And logging data coefficient x8。
3. The method of claim 2, wherein the multiple regression analysis equation is represented by the following formula:
y＝β0+β1x1+β2x2+β3x3+β4x4+β5x5+β6x6+β7x7+β8x8+
where y represents the borehole wall stability value, β0、β1、β2、β3、β4、β5、β6、β7And β8The regression coefficients are expressed, representing the random error.
4. The method of claim 3, wherein the step of collecting measured data from the well under analysis based on the correlated impact parameters further comprises the steps of:
and acquiring n groups of measured data of the well to be analyzed according to a preset time interval, wherein n represents a natural number greater than zero.
5. The method of claim 4, wherein the step of calculating the borehole wall stability value of the well to be analyzed based on the measured data, the regression coefficients, and the multiple regression analysis equation further comprises the steps of:
calculating a borehole wall stability value corresponding to each set of measured data in the n sets of measured data according to the multiple regression analysis equation to obtain n sets of borehole wall stability values;
and calculating the well wall stability value of the well to be analyzed according to the n groups of well wall stability values.
6. The method of claim 5, wherein the borehole wall stability value for the well under analysis is calculated according to the following equation:
wherein the content of the first and second substances,0representing the value of the wall stability of the well to be analyzed, yiAnd (3) showing the borehole wall stability value corresponding to the ith group of measured data (i is 1, 2, …, n).
7. The method of any one of claims 1-6, further comprising: and after the actual measurement data are acquired, carrying out average value and false data processing on the actual measurement data.
8. The method of any one of claims 1-7, further comprising:
and comparing the obtained stability value of the well wall of the well to be analyzed with a preset threshold value, and performing well wall stability early warning after the preset threshold value is exceeded.
9. A borehole wall stability value calculation system, the system comprising:
the regression coefficient module is used for determining correlation influence parameters influencing the stability value of the well wall according to historical statistical data, acquiring adjacent well data according to the correlation influence parameters, and substituting the adjacent well data into a multiple regression analysis equation to calculate and obtain a regression coefficient;
the acquisition module is used for acquiring and obtaining the measured data of the well to be analyzed according to the correlation influence parameters;
and the calculation module is used for calculating and obtaining the well wall stability value of the well to be analyzed according to the measured data, the regression coefficient and the multiple regression analysis equation.
10. The system of claim 9, wherein the acquisition module comprises:
and the interval acquisition unit is used for acquiring n groups of measured data of the well to be analyzed according to a preset time interval, wherein n represents a natural number greater than zero.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114183134A (en) * | 2021-07-07 | 2022-03-15 | 中国石油化工股份有限公司 | Shale gas horizontal well ground stress prediction method and system |
| CN116451013A (en) * | 2023-06-16 | 2023-07-18 | 中国石油大学(华东) | Deep stratum rock in-situ drillability grade value prediction method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114183134A (en) * | 2021-07-07 | 2022-03-15 | 中国石油化工股份有限公司 | Shale gas horizontal well ground stress prediction method and system |
| CN116451013A (en) * | 2023-06-16 | 2023-07-18 | 中国石油大学(华东) | Deep stratum rock in-situ drillability grade value prediction method |
| CN116451013B (en) * | 2023-06-16 | 2023-09-01 | 中国石油大学(华东) | Deep stratum rock in-situ drillability grade value prediction method |
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