CN113530525B - Method and device for analyzing well cleaning condition and computer storage medium - Google Patents
Method and device for analyzing well cleaning condition and computer storage medium Download PDFInfo
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- CN113530525B CN113530525B CN202110818055.3A CN202110818055A CN113530525B CN 113530525 B CN113530525 B CN 113530525B CN 202110818055 A CN202110818055 A CN 202110818055A CN 113530525 B CN113530525 B CN 113530525B
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
Abstract
The embodiment of the invention discloses a method and a device for analyzing the cleaning condition of a borehole and a computer storage medium. And marking actual measurement parameter points corresponding to the target measurement sites on the hook-carrying well deep modeling diagram according to actual measurement torque friction data of the target measurement sites in the well to be monitored. And determining the actual friction coefficient corresponding to each actual measurement parameter point according to the standard friction coefficient curve. And determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measuring point and the last measuring point. A multi-parameter sensitivity modeling mode is adopted to establish a key parameter model, and the on-site real drilling data and the model data are compared, so that the judgment precision is improved, and meanwhile, the underground safety and the drilling efficiency are guaranteed.
Description
Technical Field
The invention relates to the technical field of drilling engineering, in particular to a method and a device for analyzing a well cleaning condition and a computer storage medium.
Background
Currently, the judgment of well cleaning mainly depends on the experience of field engineers, and the judgment is carried out according to the field drilling conditions including circulation of circulating mud, return rock debris of a vibrating screen, pumping pressure and the like. The judgment brought by the experience has great uncertainty, or excessive treatment is caused, the time cost is increased, or insufficient treatment is caused, and larger well cleaning risk is brought to the underground operation, so that larger waste is caused.
Disclosure of Invention
In order to solve the technical problems, the application provides a method, a device and a storage medium for analyzing the cleaning condition of a well, and the specific scheme is as follows:
in a first aspect, embodiments of the present disclosure provide a method for analyzing a cleaning condition of a borehole, the method including:
obtaining historical drilling data of a borehole to be monitored, wherein the historical drilling data comprises drilling tool combination data, mud performance data, well structure data and actually measured track data;
constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and historical drilling data of the borehole to be monitored, wherein the hook-carried well deep modeling diagram comprises a standard friction coefficient curve;
marking actual measurement parameter points corresponding to the target measurement sites on the hook-carried well deep modeling diagram according to torque friction data actually measured at the target measurement sites in the well to be monitored;
determining the actual friction coefficient of the actual measurement parameter points corresponding to each target measurement site according to the standard friction coefficient curve;
and determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measuring point and the actual friction coefficient of the last measuring point.
According to a specific embodiment of the present disclosure, after the step of determining the cleanliness condition of the borehole to be monitored, the method further comprises:
estimating the hydraulicrisk condition of the well to be monitored according to preset hydraulicparameters;
estimating the excitation or swabbing risk condition of the borehole to be monitored according to preset pressure excitation and pressure swabbing data;
and acquiring a drilling adjustment scheme corresponding to the borehole to be monitored according to the cleaning condition of the borehole to be monitored, the hydraulics risk condition of the borehole to be monitored and the agitation or swabbing risk condition of the borehole to be monitored.
According to a specific embodiment of the present disclosure, the step of constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and the historical drilling data of the borehole to be monitored includes:
acquiring a preset comprehensive friction coefficient scale, wherein the comprehensive friction coefficient scale comprises the maximum value and the minimum value of the friction coefficient and an increasing step length;
and converting historical drilling data into a preset calculation model, and generating a hook-carried well depth modeling diagram of the well to be monitored by combining the comprehensive friction coefficient scale.
According to a specific embodiment of the present disclosure, the method for acquiring the actually measured torque friction data includes:
drilling a preset number of upright columns in the borehole to be monitored;
recording operation data when a pump is started or stopped, wherein the operation data comprises relevant parameters when the drilling tool is lifted up, lowered down and rotated, and the relevant parameters comprise torque data, hooking data and drilling tool weight data;
and calculating the torque friction data of each measuring point according to the operation data when the pump is started or stopped so as to obtain the actually measured torque friction data.
According to a specific embodiment of the present disclosure, the step of determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measurement point and the actual friction coefficient of the last measurement point includes:
if the actual friction coefficient of the current measuring point is equal to the actual friction coefficient of the last measuring point, determining that the well cleaning condition is good;
if the actual friction coefficient of the current measuring point is larger than the actual friction coefficient of the last measuring point, determining that the well cleaning condition is poor;
and if the actual friction coefficient of the current measuring point is smaller than the actual friction coefficient of the last measuring point, determining that the well cleaning condition is better.
According to a specific embodiment of the present disclosure, the step of determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measurement point and the actual friction coefficient of the previous measurement point further includes:
and if the actual friction coefficient of the current measurement site is larger than the actual friction coefficient of the last measurement site and exceeds a preset threshold value, sending an alarm signal to a control terminal.
In a second aspect, embodiments of the present disclosure also provide a wellbore cleanliness condition analysis device, the device comprising:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for acquiring historical drilling data of a borehole to be monitored, and the historical drilling data comprises drilling tool combination data, mud performance data, well structure data and actually measured track data;
the analysis module is used for constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and historical drilling data of the borehole to be monitored, and the hook-carried well deep modeling diagram comprises a standard friction coefficient curve;
the marking module is used for marking actual measurement parameter points corresponding to all target measurement points on the hook-carried well deep modeling diagram according to torque friction data actually measured at all target measurement points in the well to be monitored;
the determining module is used for determining the actual friction coefficient of the actual measurement parameter points corresponding to the target measurement points according to the standard friction coefficient curve;
and the judging module is used for determining the cleaning condition of the borehole to be monitored according to the difference value between the actual friction coefficient of the current measuring point and the actual friction coefficient of the last measuring point.
According to a specific embodiment of the present disclosure, the apparatus further comprises:
the hydraulic analysis module is used for predicting the hydraulic risk of the well hole based on preset hydraulic parameters;
the activation/swabbing analysis module is used for predicting activation or swabbing risks of the well based on preset pressure activation and pressure swabbing data;
and the adjusting module is used for acquiring a drilling adjusting scheme according to the cleaning condition of the borehole to be monitored, the hydraulics risk condition of the borehole to be monitored and the agitation or swabbing risk condition of the borehole to be monitored.
In a third aspect, embodiments of the present disclosure also provide a computer apparatus, comprising a processor and a memory, the memory storing a computer program which, when executed on the processor, performs the method of analyzing a cleaning condition of a borehole according to the first aspect.
In a fourth aspect, the disclosed embodiments also provide a computer storage medium having a computer program stored therein, where the computer program, when executed on a processor, performs the method for analyzing the cleanliness of a borehole according to the first aspect.
The embodiment of the disclosure provides a well cleaning condition analysis method, which is characterized in that after a well to be monitored is determined, historical drilling data of the well to be monitored are obtained, wherein the historical drilling data comprise drilling tool combination data, mud performance data, well body structure data and actually measured track data. And constructing a hook-carried well depth modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and the historical drilling data of the borehole to be monitored. And marking actual measurement parameter points corresponding to the target measurement sites on the hook-carried well deep modeling diagram according to torque friction data actually measured at the target measurement sites in the well to be monitored. And determining the actual friction coefficient corresponding to each actual measurement parameter point according to the standard friction coefficient curve in the hook-carried well deep modeling diagram. And determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measuring point and the actual friction coefficient of the last measuring point. A multi-parameter sensitivity modeling mode is adopted to establish a key parameter model, and the on-site real drilling data and the model data are compared, so that the judgment precision is improved, and meanwhile, the underground safety and the drilling efficiency are guaranteed.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention. Like components are numbered similarly in the various figures.
FIG. 1 illustrates a schematic method flow diagram of a method of wellbore cleanliness analysis provided by an embodiment of the present disclosure;
FIG. 2 illustrates a schematic hook-load well depth modeling diagram of a wellbore cleanout analysis method provided by an embodiment of the present disclosure;
FIG. 3 illustrates a hook-carried well depth modeling diagram including actual measurement parameter points for a method of analyzing wellbore cleanliness provided by an embodiment of the present disclosure;
FIG. 4 illustrates a schematic block diagram of a wellbore cleanliness analysis apparatus provided by embodiments of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are only intended to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Example 1
Referring to fig. 1, a schematic method flow diagram of a method for analyzing a cleaning condition of a wellbore is provided for an embodiment of the present disclosure. As shown in fig. 1, the method for analyzing the cleaning condition of the borehole mainly comprises the following steps:
s101, obtaining historical drilling data of a borehole to be monitored, wherein the historical drilling data comprises drilling tool combination data, mud performance data, well structure data and actually measured track data;
after the well bore to be monitored is determined, a well and job-pack under the well name may be created using specialized intelligent well analysis software. And obtaining the historical drilling data of the borehole to be monitored, namely finishing the basic data definition of the operation packet.
The type of the job pack includes an undrilled design and a drilled analysis, and the contents of the job include drilling and casing. After the basic data of the operation package are defined, the intelligent drilling analysis software can specifically analyze various drilled parameters, and the analysis content comprises hook-carried well depth modeling, drill string buckling modeling, torque modeling, stretching amount modeling and drilling tool turn number modeling.
The basic data of the operation pack comprise drilling tool combination data or casing combination data, well structure data, measured track data, mud performance data, drilling fluid data and the like.
S102, constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and historical drilling data of the borehole to be monitored, wherein the hook-carried well deep modeling diagram comprises a standard friction coefficient curve;
as shown in fig. 2, the model is a hook-load well depth modeling diagram which is constructed by intelligent drilling analysis software according to a preset comprehensive friction coefficient scale and historical drilling data of a well to be monitored and corresponds to the well to be monitored, wherein the ordinate in the diagram is the drilling depth, and the abscissa is hook load.
The hook-carried well deep modeling diagram summary also includes a standard friction coefficient curve, namely the rotating friction coefficient curve, the lifting friction coefficient curve and the lower friction coefficient curve in fig. 2.
According to a specific embodiment of the present disclosure, the step of constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and the historical drilling data of the borehole to be monitored includes:
acquiring a preset comprehensive friction coefficient scale, wherein the comprehensive friction coefficient scale comprises the maximum value and the minimum value of the friction coefficient and an increasing step length;
and converting historical drilling data into a preset calculation model, and generating a hook-carried well depth modeling diagram of the well to be monitored by combining the comprehensive friction coefficient scale.
S103, marking actual measurement parameter points corresponding to the target measurement sites on the hook-carried well deep modeling diagram according to torque friction data actually measured at the target measurement sites in the well to be monitored;
as shown in fig. 3, after the hook-carried well deep modeling diagram including the standard friction resistance coefficient curve is constructed, torque friction resistance data actually measured at each target measurement point is introduced into the intelligent drilling analysis software, that is, each corresponding actual measurement parameter point can be marked on the hook-carried well deep modeling diagram. Such as marker 1 and marker 2.
According to a specific embodiment of the present disclosure, the method for acquiring the actually measured torque friction data includes:
drilling a preset number of upright columns in the borehole to be monitored;
recording operation data when a pump is started or stopped, wherein the operation data comprises relevant parameters when the drilling tool is lifted, lowered and rotated, and the relevant parameters comprise torque data, hooking data and drilling tool weight data;
and calculating the torque friction data of each measuring point according to the operation data when the pump is started or stopped so as to obtain the actually measured torque friction data.
Specifically, the actually measured torque friction data is real-time engineering data recorded by a drill floor engineering, and the way for acquiring the actually measured torque friction data can be to directly read data automatically tracked and recorded by software from an MES software platform or read automatically recorded engineering data from a logging system.
Preferably, the actually measured torque friction data may be obtained by reading engineering data of a data dial or a pointer dial when a command driller on a drill floor tests according to a standard. Thereby ensuring the accuracy of the torque friction resistance data obtained by actual measurement.
In addition, in order to ensure the standardization of the actual measured torque friction resistance data acquisition, a standardized procedure needs to be established so that the measured data recorded at different measuring points during the drill-out, drill-down and rotation are consistent.
In a conventional well, lift, drop and rotation data are typically recorded with the pump on or off, but should remain consistent throughout. In extended reach wells or deep wells, the recording should be done both with the pump on and off in order to record the effect of hydraulic lift.
For example, the step of recording torque and friction with pump on and off includes: lifting the drilling tool away from the bottom of the well, and reducing the rotating speed to reduce the whirling motion (40-80 revolutions per minute); reaming about 13.7 meters with the pump on, and then lowering back to the bottom of the well under rotation; starting a pump and lifting the rotary table to the middle point of the reaming well section by 6.1 meters; lowering the drilling tool to eliminate the friction resistance and recording the rotation torque and the weight of the drilling tool; stopping the turntable and starting the pump to record the hook load by 4.6-6.1 meters at a constant speed; starting a pump to slowly lower the drill column and recording hook load; lifting the drill bit to the middle point (6.1 meters) of the reaming well section, stopping the pump and continuing to rotate; recording the rotary hook load and the torque after the pump is stopped; stopping the pump to lift 6.1 meters at a constant moderate speed and recording the weight of the drilling tool when the drilling tool is lifted; stopping the pump to put the drilling tool down at a constant and moderate speed and recording the weight of the drilling tool at the lower part; after the vertical column is connected, the weight is recorded after the slips are lifted up and removed.
Lifting and lowering friction resistance hook load obtaining steps:
step one, drilling the upright column to the bottom, drilling the upright column to the bit pressure and back pressure, and reaming a single hole according to the requirement (3 minutes for back reaming, 2 minutes for front reaming, and reaming by using drilling parameters). Observing the torque and the pump pressure, the reaming speed can be increased or decreased, and the reaming speed depends on the well hole condition;
and step two, lifting at a stable speed of 0rpm and 10m/min, and when the static friction resistance is broken, continuously lifting to a stable hook load. Record this steady uplift weight as the "open pump uplift weight";
step three, stopping lifting, and lowering the drilling tool until the hanging weight is stabilized, wherein the drilling tool is kept in a static state; opening the top to drive the rotational speed to 30rpm, recording the lowering rotation torque and the lowering rotation hanging weight, ensuring the torque and the hanging weight to be stable before recording the reading, and recording the hanging weight at the moment as the rotating hanging weight of the opening pump;
and step four, stopping rotating, putting the drilling tool down at the speed of 10m/min until the static friction resistance is broken, and then continuing putting down until stable hook loading appears. Recording the stable lowering weight at the moment as the lowering suspended weight of the pump;
and step five, checking the function of the hydraulic oscillator, moving the drilling tool to 500 m backwards, reducing the friction coefficient by 0.05, proving that the hydraulic oscillator has no problem, and repeating 2-4 steps after the pump is turned off. All the uplift/lowering/rotation deadweights were recorded as pump-off deadweights.
The specific standardized drilling test procedure can be set according to the actual conditions of different wells, and is not limited uniquely here, but a set of standardized drilling test procedure needs to be adopted for the same well bore to be monitored.
S104, determining the actual friction coefficient of the actual measurement parameter points corresponding to each target measurement point according to the standard friction coefficient curve;
specifically, as shown in fig. 3, the standard friction coefficient curve in the hook-carried well deep modeling diagram is used as a judgment scale, and after marking each actual measurement parameter point, the actual friction coefficient of the actual measurement parameter point of each target measurement point can be determined.
For example, according to the ordinate of the hook-and-carry well depth modeling diagram, the mark point 1 is an actual measurement parameter point obtained when the well depth is 3000 meters, the mark point 2 is an actual measurement parameter point obtained when the well depth is 3600 meters, according to the abscissa of the hook-and-carry well depth modeling diagram, the hook load of the mark point 1 is 105 metric tons, the lifting friction resistance coefficient of the mark point 1 is 0.25, the hook load of the mark point 2 is 125 metric tons, and the lifting friction resistance coefficient of the mark point 2 is 0.4.
And S105, determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measurement site and the actual friction coefficient of the last measurement site.
Specifically, the cleaning condition of the borehole to be monitored comprises three conditions of good condition, gradual deterioration and gradual improvement.
In specific implementation, the step of determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measurement point and the actual friction coefficient of the last measurement point comprises:
if the actual friction coefficient of the current measurement site is equal to the actual friction coefficient of the last measurement site, determining that the well cleaning condition is good;
if the actual friction coefficient of the current measuring point is larger than the actual friction coefficient of the last measuring point, determining that the well cleaning condition is poor;
and if the actual friction coefficient of the current measuring point is smaller than the actual friction coefficient of the last measuring point, determining that the well cleaning condition is better.
That is, according to the variation trend of the actual friction coefficient of the current measurement site relative to the actual friction coefficient of the last measurement site, the cleaning condition of the borehole to be monitored can be determined.
If the actual friction coefficient of the current measurement point tends to be larger than that of the previous measurement point, it indicates that a certain cleaning problem exists in the borehole, so that the drill load and other parameters increase, that is, the cleaning condition of the borehole tends to be worse, and the reason affecting the cleaning condition of the borehole needs to be further investigated.
If the actual friction coefficient of the current measurement point is kept unchanged or has a trend of becoming smaller relative to the actual friction coefficient of the last measurement point, the cleaning problem of the well hole is kept good or has a trend of becoming good, the cleaning condition problem of the well hole does not need to be checked, and the drilling operation is continued by the existing scheme.
Preferably, the step of determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measurement point and the actual friction coefficient of the last measurement point further includes:
and if the actual friction coefficient of the current measurement site is larger than the actual friction coefficient of the last measurement site and exceeds a preset threshold value, sending an alarm signal to a control terminal.
The preset threshold may be set according to an actual engineering environment, and is not limited herein.
The type of alarm signal can be for pronunciation warning, bullet window demonstration or SMS transmission etc. works as the actual friction coefficient that the actual friction coefficient of current measurement position is greater than last position surpasss certain threshold value, then explains the clean situation variation of well and surpasses certain degree, has appeared the problem that needs the adjustment, the problem includes the wall of a well unstability, wall of a well mud cake thickening, small dog leg degree, wall of a well keyway, the wall of a well molding that the vibration caused etc.. Technical personnel are required to perform corresponding investigation according to the actual friction coefficient and the friction torque data of the current measurement site.
According to a specific embodiment of the present disclosure, after the step of determining the cleanliness condition of the wellbore to be monitored, the method further comprises:
estimating the hydraulics risk condition of the borehole to be monitored according to preset hydraulics parameters;
estimating the excitation or swabbing risk condition of the borehole to be monitored according to preset pressure excitation and pressure swabbing data;
and acquiring a drilling adjustment scheme corresponding to the borehole to be monitored according to the cleaning condition of the borehole to be monitored, the hydraulicrisk condition of the borehole to be monitored and the agitation or swabbing risk condition of the borehole to be monitored.
The preset hydraulic parameters comprise drill bit hydraulic data and ground pipeline hydraulic data, the hydraulic parameters, the drilling actual measurement data, the rock mechanics data and the special working condition data are substituted into a hydraulic calculation model for calculation, and then the risk value of the hydraulic risk is calculated by combining the hole reaming interval, the position of the variable-diameter stabilizer, the related parameters of the slurry and the basic machine speed on the basis of the calculation process.
The measured drilling data used in the hydraulic calculation comprise drilling engineering parameters, measured friction and torque data, mud performance data and the like, and the special working condition data used in the hydraulic calculation comprise drilling fluid programs, annular circulation profile values and grouting circulation profile values.
The prediction process of the excitation or swabbing risk of the borehole to be monitored comprises the steps of substituting pressure excitation and swabbing data, measured data, rock mechanics data, special working condition data and drill bit hydraulics data into a pressure excitation and swabbing calculation module for calculation, and calculating the risk value of the excitation or swabbing risk by combining borehole hole scratching distance, variable diameter stabilizer position and mud related parameters.
The measured drilling well data used for the pressure excitation and swabbing calculation comprise drilling parameters, ECD data, mud rotational viscosity, machine speed, cuttings, back pressure, the position of a variable diameter centralizer (AGS) and the like. The special working condition data used for the pressure excitation and swabbing calculation comprises a pressure excitation mud liquid column used for simulating drilling; the pressure swabbing slurry liquid column is used for simulating tripping; the specific well depth affects the mud performance for simulating pressure temperature effects.
The hydraulic risk includes hydraulic risk to flow, hydraulic risk to mud, hydraulic risk to borehole size, hydraulic risk to machine speed.
The agitation or pumping risk comprises an agitation or pumping risk to the pumping speed of the drilling tool, an agitation or pumping risk to the mud, and an agitation or pumping risk to the size of the borehole.
After the hydraulics risk condition of the borehole to be monitored and the agitation or swabbing risk condition of the borehole to be monitored are obtained, the drilling adjusting scheme of the borehole to be monitored can be established in a targeted manner by combining the cleaning condition of the borehole to be monitored judged in the steps, so that the possible risks can be avoided, and the cleaning condition of the borehole to be monitored can be improved.
Example 2
Referring to fig. 4, a schematic apparatus block diagram of a borehole cleaning condition analysis apparatus 400 provided in an embodiment of the present disclosure is shown. As shown in fig. 4, embodiments of the present disclosure also provide a wellbore cleanliness analysis device 400, where the wellbore cleanliness analysis device 400 includes:
an obtaining module 401, configured to obtain historical drilling data of a wellbore to be monitored, where the historical drilling data includes drilling tool assembly data, mud performance data, well structure data, and actual measurement trajectory data;
an analysis module 402, configured to construct a hook-and-load well depth modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and historical drilling data of the borehole to be monitored, where the hook-and-load well depth modeling diagram includes a standard friction coefficient curve;
a marking module 403, configured to mark actual measurement parameter points corresponding to each target measurement point on the hook-carried well deep modeling diagram according to torque friction data actually measured at each target measurement point in the well to be monitored;
a determining module 404, configured to determine, according to the standard friction coefficient curve, an actual friction coefficient of an actual measurement parameter point corresponding to each target measurement point;
and the judging module 405 is configured to determine the cleaning condition of the wellbore to be monitored according to a difference between the actual friction coefficient of the current measurement point and the actual friction coefficient of the previous measurement point.
According to an embodiment of the present disclosure, the wellbore cleaning condition analysis apparatus 400 further comprises:
the hydraulic analysis module is used for predicting the hydraulic risk of the well hole based on preset hydraulic parameters;
the activation/swabbing analysis module is used for predicting activation or swabbing risks of the well based on preset pressure activation and pressure swabbing data;
and the adjusting module is used for acquiring a drilling adjusting scheme according to the cleaning condition of the borehole to be monitored, the hydraulics risk condition of the borehole to be monitored and the agitation or swabbing risk condition of the borehole to be monitored.
Specifically, the borehole cleaning condition analysis apparatus is used for executing the borehole cleaning condition analysis method according to the foregoing embodiment, and for a specific process, reference is made to the foregoing embodiment, and details are not repeated here.
In addition, the embodiment of the disclosure also provides a computer device, which comprises a processor and a memory, wherein the memory stores a computer program, and the computer program executes the borehole cleaning condition analysis method of the embodiment when running on the processor.
Embodiments of the present disclosure also provide a computer storage medium having a computer program stored therein, where the computer program, when executed on a processor, performs the method for analyzing a cleaning condition of a borehole according to the above embodiments.
The embodiment of the disclosure provides a well cleaning condition analysis method and device and a computer storage medium. And obtaining actual measurement parameter points at each target measurement point according to the torque friction resistance data actually measured after obtaining the well depth modeling diagram, obtaining the friction resistance coefficient of each actual parameter measurement parameter point based on the scale action of a standard friction resistance coefficient curve in the hook-carried well depth modeling diagram, and determining the cleaning condition of the well to be monitored based on the change trend of the friction resistance coefficient. Through the multi-parameter modeling method, the process of determining the cleaning condition of the borehole to be monitored can be more direct, the time for judging the borehole cleaning risk is greatly shortened, and the time cost is reduced. The generated hook-carried well deep modeling diagram also enables the drilling scheme to be adjusted in real time according to the change condition of the measurement parameter points of each measurement point in the drilling engineering practice, and ensures the safety of the drilling operation.
In addition, this disclosed embodiment still through to the analysis of hydraulics risk and pressure excitement or swabbing risk, can arrange in real time and find out the reason that the clean situation of well bore goes wrong, can promote the efficiency of handling the clean risk problem of well bore greatly, avoid the waste of resources that excessive handling or processing are not enough to cause.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention.
Claims (9)
1. A method of analyzing a cleaning condition of a wellbore, the method comprising:
obtaining historical drilling data of a borehole to be monitored, wherein the historical drilling data comprises drilling tool combination data, mud performance data, well structure data and actually measured track data;
constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and historical drilling data of the borehole to be monitored, wherein the hook-carried well deep modeling diagram comprises a standard friction coefficient curve;
marking actual measurement parameter points corresponding to the target measurement sites on the hook-carried well deep modeling diagram according to torque friction data actually measured at the target measurement sites in the well to be monitored;
determining the actual friction coefficient of the actual measurement parameter points corresponding to each target measurement point according to the standard friction coefficient curve;
determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measurement site and the actual friction coefficient of the last measurement site;
the step of determining the cleaning condition of the borehole to be monitored according to the actual friction coefficient of the current measurement site and the actual friction coefficient of the last measurement site comprises the following steps:
if the actual friction coefficient of the current measurement site is equal to the actual friction coefficient of the last measurement site, determining that the well cleaning condition is good;
if the actual friction coefficient of the current measuring point is larger than the actual friction coefficient of the last measuring point, determining that the well cleaning condition is poor;
and if the actual friction coefficient of the current measuring point is smaller than the actual friction coefficient of the last measuring point, determining that the well cleaning condition is better.
2. The method of claim 1, wherein after the step of determining the cleanliness condition of the wellbore to be monitored, the method further comprises:
estimating the hydraulics risk condition of the borehole to be monitored according to preset hydraulics parameters;
estimating the excitation or swabbing risk condition of the borehole to be monitored according to preset pressure excitation and pressure swabbing data;
and acquiring a drilling adjustment scheme corresponding to the borehole to be monitored according to the cleaning condition of the borehole to be monitored, the hydraulicrisk condition of the borehole to be monitored and the agitation or swabbing risk condition of the borehole to be monitored.
3. The method according to claim 1, wherein the step of constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and historical drilling data of the borehole to be monitored comprises the following steps:
acquiring a preset comprehensive friction coefficient scale, wherein the comprehensive friction coefficient scale comprises the maximum value and the minimum value of the friction coefficient and an increasing step length;
and converting historical drilling data into a preset calculation model, and generating a hook-carried well depth modeling diagram of the well to be monitored by combining the comprehensive friction coefficient scale.
4. The method of claim 1, wherein the method of obtaining actual measured torque friction data comprises:
drilling a preset number of upright columns in the borehole to be monitored;
recording operation data when a pump is started or stopped, wherein the operation data comprises relevant parameters when the drilling tool is lifted, lowered and rotated, and the relevant parameters comprise torque data, hooking data and drilling tool weight data;
and calculating the torque friction data of each measuring point according to the operation data when the pump is started or stopped so as to obtain the actually measured torque friction data.
5. The method of claim 1, wherein the step of determining the cleanliness condition of the wellbore to be monitored based on the actual friction coefficient of the current measurement site and the actual friction coefficient of the last measurement site further comprises:
and if the actual friction coefficient of the current measurement site is larger than the actual friction coefficient of the last measurement site and exceeds a preset threshold value, sending an alarm signal to a control terminal.
6. A wellbore cleanliness condition analysis device, the device comprising:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for acquiring historical drilling data of a borehole to be monitored, and the historical drilling data comprises drilling tool combination data, mud performance data, well structure data and actually measured track data;
the analysis module is used for constructing a hook-carried well deep modeling diagram corresponding to the borehole to be monitored according to a preset comprehensive friction coefficient scale and historical drilling data of the borehole to be monitored, and the hook-carried well deep modeling diagram comprises a standard friction coefficient curve;
the marking module is used for marking actual measurement parameter points corresponding to all target measurement sites on the hook-carried well deep modeling diagram according to torque friction data actually measured at all target measurement sites in the well to be monitored;
the determining module is used for determining the actual friction coefficient of the actual measurement parameter points corresponding to the target measurement points according to the standard friction coefficient curve;
the judging module is used for determining the cleaning condition of the borehole to be monitored according to the difference value of the actual friction coefficient of the current measuring point and the actual friction coefficient of the last measuring point;
the judging module is specifically used for determining that the well cleaning condition is good if the actual friction coefficient of the current measuring point is equal to the actual friction coefficient of the last measuring point; if the actual friction coefficient of the current measuring point is larger than the actual friction coefficient of the last measuring point, determining that the well cleaning condition is poor; and if the actual friction coefficient of the current measurement site is smaller than the actual friction coefficient of the last measurement site, determining that the well cleaning condition is better.
7. The apparatus of claim 6, further comprising:
the hydraulic analysis module is used for predicting the hydraulic risk of the well hole based on preset hydraulic parameters;
the activation/swabbing analysis module is used for predicting activation or swabbing risks of the well based on preset pressure activation and pressure swabbing data;
and the adjusting module is used for acquiring a drilling adjusting scheme according to the cleaning condition of the borehole to be monitored, the hydraulics risk condition of the borehole to be monitored and the agitation or swabbing risk condition of the borehole to be monitored.
8. A computer arrangement comprising a processor and a memory, the memory storing a computer program which, when run on the processor, performs the method of analysing a wellbore cleanliness condition of any of claims 1-5.
9. A computer storage medium, characterized in that a computer program is stored in the computer storage medium, which when run on a processor performs the method of borehole cleaning condition analysis according to any of claims 1-5.
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