Method and device for efficiently identifying oil well casing leakage in high water cut period and medium

Abstract

The invention discloses a method and device for efficiently recognizing oil well casing leakage in a high water cut period and a medium. The method comprises the steps that the daily fluid production capacity variation amplitude f of an oil well is obtained; obtaining the daily water content change amplitude W of the oil well; the working fluid level difference value Ms of the oil well is obtained; acquiring a chloride ion difference value C < l > of the oil well; determining that the abnormal well is a casing damaged well; and the casing leakage point position y of the casing damaged well is obtained. According to the method for efficiently identifying the casing leakage of the oil well in the high-water-cut period, the daily fluid production capacity variation amplitude, the daily water content variation amplitude, the working fluid level difference value and the chloride ion difference value of the oil well are obtained, the obtained numerical values and value intervals are judged, and therefore the casing leakage of the oil well in the high-water-cut period is identified, and the method is high in identification accuracy, short in identification period and high in efficiency. And the identification sleeve leakage point position is high in goodness of fit, time-saving and labor-saving, and the cost is greatly reduced.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field development technology, and in particular to a method, device and medium for efficiently identifying well casing leakage during high water cut periods. Background Technology

[0002] As oilfield development deepens and enters the later stages of high water-cut development, the number and severity of casing-damaged wells are increasing year by year. Especially in recent years, a large number of casing-damaged wells have emerged due to factors such as oil production, water injection, operations, cementing quality, casing material, and corrosion from produced water. According to incomplete statistics, there are currently over 50,000 casing-damaged wells nationwide, and this number is increasing by more than 2,000 per year. Casing-damaged wells severely restrict stable oil reservoir production and affect normal well production. Currently, casing-damaged well remediation typically involves isolating or plugging the water-producing point to continue oil production. First, it is necessary to determine whether the well is indeed a casing-damaged well. However, in high water-cut oil wells, casing-damaged wells show little change in production, making identification difficult. At present, the main methods for detecting casing-damaged wells include electromagnetic detection technology, acoustic detection technology, and mechanical aperture detection technology. Each detection method requires significant financial and time investment.

[0003] In the prior art, a method for identifying leakage points in casing-damaged oil wells, disclosed in publication number "CN111963154A," involves artificially generating fluid flow within the wellbore. Noise logging instruments are used to measure the amplitude and frequency of noise generated when the fluid flows through the cement sheath or formation outside the casing to determine the location of fluid generation. This is combined with well temperature and flow rate data to improve the accuracy and success rate of leak and crossflow detection. This invention can accurately and quickly identify water production points in casing-damaged oil wells, providing effective guidance for managing casing-damaged wells using methods such as isolation production, casing patching, and chemical plugging.

[0004] However, this method still cannot solve the technical problem that the production changes after leakage in oil wells during the high water-cut period are small and difficult to identify. In addition, this method is time-consuming, labor-intensive and costly in the whole well section engineering pressure test and isotope leakage detection. Summary of the Invention

[0005] The main objective of this invention is to provide a method, device, and medium for efficiently identifying casing leakage in oil wells during high water-cut periods, aiming to solve the technical problems in the prior art where it is difficult to identify casing leakage in oil wells during high water-cut periods, and where finding leakage is time-consuming, labor-intensive, and costly.

[0006] To achieve the above objectives, the present invention provides a method for efficiently identifying casing leakage in oil wells during periods of high water cut. The method includes the following steps: S10, obtaining the daily production rate variation Δf of the oil well; S20, obtaining the daily water cut variation ΔW of the oil well; S30, obtaining the dynamic fluid level difference ΔMs of the oil well; S40, obtaining the chloride ion difference ΔCl of the oil well; S50, determining the abnormal well as a casing-damaged well based on the obtained parameters; S60, obtaining the location y of the casing leakage point in the casing-damaged well.

[0007] Optionally, step S10 includes the following steps: S110, obtaining the daily fluid production fnormal during the normal period and the daily fluid production fabnormal during the abnormal period; S120, obtaining the daily fluid production variation Δf of the oil well based on the following formula:

[0008] △f=(fabnormal-fnormal) / fnormal*100%(1)

[0009] In the formula: fnormal represents the daily liquid production during the normal period, in t / d; fabnormal represents the daily liquid production during the abnormal period, in t / d; Δf represents the daily liquid production variation, in %.

[0010] Optionally, step S20 includes the following steps: S210, obtaining the daily water cut Wnormal during the normal period and the daily water cut Wabnormal during the abnormal period; S220, obtaining the daily water cut variation ΔW of the oil well based on the following formula:

[0011] △W=(Wabnormal-Wnormal) / Wnormal*100%(2)

[0012] In the formula: Wnormal represents the daily water content during the normal period, in %; wabnormal represents the daily water content during the abnormal period, in %; Δf represents the daily water content variation range, in %.

[0013] Optionally, step S30 includes the following steps: S310, obtaining the dynamic fluid level Ms during the normal period and the dynamic fluid level Ms during the abnormal period; S320, obtaining the dynamic fluid level difference ΔMs of the oil well based on the following formula:

[0014] △Ms=(Ms normal - Ms abnormal)(3)

[0015] In the formula: Ms_normal represents the dynamic liquid level during the normal period, in meters; Ms_abnormal represents the dynamic liquid level during the abnormal period, in meters; and ΔMs represents the difference in dynamic liquid level, in meters.

[0016] Optionally, step S40 includes the following steps: S410, obtaining the chloride ion concentration Cl during the normal period and the chloride ion concentration Cl during the abnormal period; S420, obtaining the chloride ion difference ΔCl of the oil well based on the following formula:

[0017] △Cl = (Cl normal - Cl abnormal) (4)

[0018] In the formula: Clnormal represents the chloride ion concentration during the normal period, in mg / L; Clabnormal represents the chloride ion concentration during the abnormal period, in mg / L; and ΔCl represents the difference in chloride ion concentration, in mg / L.

[0019] Optionally, in S50, if the daily production fluid variation Δf ≥ 20%, the water cut variation ΔW ≥ 15%, the dynamic fluid level difference ΔMs ≥ 800m, and the chloride ion concentration difference ΔCl ≥ 3000mg / L, then the abnormal well is determined to be a casing-damaged well.

[0020] Optionally, S60 includes the following step: S610, obtaining the chloride ion difference ΔCl of the oil well based on the following formula:

[0021] y = 0.1194 * C l abnormal - 84.357(5)

[0022] In the formula, y represents the location of the leak point in meters (m), and Cl abnormality represents the chloride ion concentration during the abnormal period in mg / L.

[0023] Optionally, after S60, the following step may be included: S70, implementing potential tapping and remediation measures based on the location y of the leak point to improve the reservoir development effect.

[0024] Furthermore, to achieve the above objectives, this application embodiment also provides a high-efficiency identification device for oil well casing leakage during high water cut periods. The device includes: a first amplitude acquisition module for acquiring the daily production change amplitude Δf of the oil well; a second amplitude acquisition module for acquiring the daily water cut change amplitude ΔW of the oil well; a first difference acquisition module for acquiring the dynamic fluid level difference ΔMs of the oil well; a second difference acquisition module for acquiring the chloride ion difference ΔCl of the oil well; a judgment module for determining that the abnormal well is a casing-damaged well; and a location acquisition module for acquiring the location y of the casing leakage point of the casing-damaged well.

[0025] In addition, to achieve the above objectives, embodiments of this application also provide a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the high-water-cut, high-efficiency oil well casing leakage identification method described in any embodiment of this application.

[0026] Furthermore, to achieve the above objectives, embodiments of this application also provide a computing device, which includes at least one processor, a memory, and an input / output unit; wherein the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the high water cut period efficient oil well casing leakage identification method described in any embodiment of this application.

[0027] This application provides a method for efficiently identifying casing leakage in oil wells during periods of high water cut. By acquiring the daily production rate variation, daily water cut variation, dynamic fluid level difference, and chloride ion difference of the oil well, the acquired values ​​and their ranges are judged to identify casing leakage in oil wells during periods of high water cut. This method has high accuracy, short identification cycle, and high accuracy in identifying the location of the leakage point, saving time and effort and greatly reducing costs. Attached Figure Description

[0028] Figure 1 A flowchart illustrating the efficient method for identifying well casing leakage during high water cut periods provided in this application embodiment;

[0029] Figure 2 Another flowchart of the method for efficiently identifying oil well casing leakage during high water cut periods provided in the embodiments of this application;

[0030] Figure 3 A structural block diagram of the high water-cut period high efficiency oil well casing leakage identification device provided in the embodiments of this application;

[0031] Figure 4 A schematic diagram of the structure of a medium provided in an embodiment of this application;

[0032] Figure 5 This is a schematic diagram of the structure of a computing device provided in an embodiment of this application.

[0033] Explanation of reference numerals in the attached figures:

[0034] 300 - High-efficiency oil well casing leakage identification device during high water cut period; 310 - First amplitude acquisition module; 320 - Second amplitude acquisition module; 330 - First difference acquisition module; 340 - Second difference acquisition module; 350 - Judgment module; 360 - Location acquisition module.

[0035] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0036] It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of the application. Rather, these embodiments are provided to make the disclosure more thorough and complete, and to fully convey the scope of the disclosure to those skilled in the art.

[0037] To address the aforementioned technical problems, this application provides a method for efficiently identifying casing leakage in oil wells during periods of high water cut. Figure 1 and Figure 2 As shown, the method may include the following steps:

[0038] S10, obtain the daily fluid production change range Δf of the oil well.

[0039] In an exemplary embodiment, step S10 may include the following steps:

[0040] S110, Obtain the daily liquid production f during the normal period 正常 and daily liquid production f during abnormal periods 异常 ;

[0041] S120, the daily fluid production variation Δf of the oil well is obtained based on the following formula:

[0042] △f=(f 异常 -f 正常 ) / f 正常 *100% (1)

[0043] In the formula: f 正常 This represents the daily liquid production during the normal period, in t / d, f 异常 The daily liquid production during the abnormal period is expressed in t / d, and Δf is the daily liquid production variation rate, expressed in %.

[0044] The daily liquid production volume is the daily liquid production volume value measured by the separator according to the metering regulations.

[0045] S20, obtain the daily water cut variation ΔW of the oil well.

[0046] In an exemplary embodiment, step S20 may include the following steps:

[0047] S210, obtain the daily water content W during the normal period. 正常 Water content W during abnormal period 异常 ;

[0048] S220, the daily water cut variation ΔW of the oil well is obtained based on the following formula:

[0049] △W=(W 异常 -W 正常 ) / W 正常 *100% (2)

[0050] In the formula: W 正常 Daily water content during normal period, in % (w) 异常 Daily water content during the abnormal period, in %, Δf represents the daily water content variation, in %.

[0051] Among them, the daily water content is the daily water content value obtained by laboratory testing in accordance with sampling regulations.

[0052] S30, obtain the dynamic fluid level difference △Ms of the oil well.

[0053] In an exemplary embodiment, step S30 may include the following steps:

[0054] S310, obtain the dynamic liquid level Ms during the normal period and the dynamic liquid level Ms during the abnormal period;

[0055] S320, the dynamic fluid level difference ΔMs of the oil well is obtained based on the following formula:

[0056] △Ms=(Ms normal - Ms abnormal)(3)

[0057] In the formula: Ms_normal represents the dynamic liquid level during the normal period, in meters; Ms_abnormal represents the dynamic liquid level during the abnormal period, in meters; and ΔMs represents the difference in dynamic liquid level, in meters.

[0058] S40, obtain the chloride ion difference ΔCl in the oil well.

[0059] In an exemplary embodiment, step S40 may include the following steps:

[0060] S410, obtain the chloride ion concentration Cl during the normal period and the chloride ion concentration Cl during the abnormal period, wherein the chloride ion concentration is the chloride ion concentration obtained by laboratory testing according to the sampling regulations;

[0061] S420, the chloride ion difference ΔCl in the oil well is obtained based on the following formula:

[0062] △Cl = (Cl normal - Cl abnormal) (4)

[0063] In the formula: Clnormal represents the chloride ion concentration during the normal period, in mg / L; Clabnormal represents the chloride ion concentration during the abnormal period, in mg / L; and ΔCl represents the difference in chloride ion concentration, in mg / L.

[0064] S50, based on the acquired parameters, the abnormal well is determined to be a well with casing damage.

[0065] Specifically, the parameters obtained include the daily liquid production variation range Δf, the water content variation range ΔW, the dynamic liquid level difference ΔMs, and the chloride ion concentration difference ΔCl.

[0066] In an exemplary embodiment, if the daily production fluid variation Δf ≥ 20%, the water cut variation ΔW ≥ 15%, the dynamic fluid level difference ΔMs ≥ 800m, and the chloride ion concentration difference ΔCl ≥ 3000mg / L, then the abnormal well is determined to be a casing-damaged well.

[0067] S60, obtain the location y of the casing leakage point of the well with casing damage.

[0068] In an exemplary embodiment, step S60 may include the following steps:

[0069] S610, the chloride ion difference ΔCl in the oil well is obtained based on the following formula:

[0070] y = 0.1194 * C l abnormal - 84.357(5)

[0071] In the formula, y is the location of the leak point in meters, and Cl anomaly is the chloride ion concentration during the anomaly period in mg / L.70. A fluid impedance ratio model is constructed to determine the fluid properties of deep tight sandstone reservoirs.

[0072] In an exemplary embodiment, after step S60, the following steps may also be included:

[0073] S70, based on the location y of the leak point, implement potential tapping and remediation measures to improve the reservoir development effect.

[0074] Among them, the potential tapping and treatment measures are to seal the leak point y by means of casing subsidies, packer isolation and extraction, and chemical plugging.

[0075] This application provides a method for efficiently identifying casing leakage in oil wells during periods of high water cut. By acquiring the daily production rate variation, daily water cut variation, dynamic fluid level difference, and chloride ion difference of the oil well, the acquired values ​​and their ranges are judged to identify casing leakage in oil wells during periods of high water cut. This method has high accuracy, short identification cycle, and high accuracy in identifying the location of the leakage point, saving time and effort and greatly reducing costs.

[0076] The following are specific examples:

[0077] Example 1: A certain oil well normally produces 21.9 t / d of fluid and 4.3 t / d of oil, with a water cut of 80.5%, a dynamic fluid level of 1240.1 m, and chloride ion concentrations of 10401 mg / L. Suddenly, the well's production becomes abnormal, with daily fluid production surging to 33.1 t / d, daily oil production decreasing to 1.4 t / d, water cut rising to 95.8%, the dynamic fluid level rising to 17.6 m, and chloride ion concentrations reaching 14893 mg / L. The specific steps for determining casing leakage are as follows:

[0078] S1: Given that the daily liquid production during the normal period is fnormal = 21.9 t / d and the daily liquid production during the abnormal period is fabnormal = 33.1 t / d, according to formula (1), the daily liquid production change range Δf = (fabnormal - fnormal) / fnormal * 100% = (33.1 - 21.9) / 21.9 * 100% = 51.1%;

[0079] S2: Given that the daily water content Wnormal during the normal period is 80.5% and the daily water content Wabnormal during the abnormal period is 95.8%, according to formula (2), the daily water content change range ΔW = (Wabnormal - Wnormal) / Wnormal * 100% = (95.8 - 80.5) / 80.5 * 100% = 19.0%;

[0080] S3: Given that the dynamic liquid level Ms normal during the normal period is 1240.1m and the dynamic liquid level Ms abnormal during the abnormal period is 17.6m, according to formula (3), the difference in dynamic liquid level ΔMs = (Ms normal - Ms abnormal) = 1240.1 - 17.6 = 1222.5m;

[0081] S4: Given that the chloride ion concentration Cl normal during the normal period is 10401 mg / L and the chloride ion concentration Cl abnormal during the abnormal period is 14893 mg / L, according to formula (4), the chloride ion concentration difference ΔCl = (Cl abnormal - Cl normal) = 14893 - 10401 = 4492 mg / L;

[0082] S5: The values ​​of daily production fluid variation Δf, water cut variation ΔW, dynamic fluid level difference ΔMs, and chloride ion concentration difference ΔCl are calculated from the above steps. Given that the daily production fluid variation Δf = 51.1% ≥ 20%, water cut variation ΔW = 19.0% ≥ 15%, dynamic fluid level difference ΔMs = 1222.5m ≥ 800m, and chloride ion concentration difference ΔCl = 4492mg / L ≥ 3000mg / L, the well is determined to be a casing-damaged well.

[0083] S6: Given that this well has a casing failure, the chloride ion concentration obtained from the test is Clabnormal = 14893 mg / L. According to formula (5), the location of the casing leak is y = 0.1194 * Clabnormal - 84.357 = 0.1194 * 14893 - 84.357 = 1693.9 m.

[0084] Therefore, the leak point in the well casing is predicted to be at 1693.9m. Subsequent measures such as water isolation and plugging can be taken at this point to improve the development effect.

[0085] Example 2: A certain oil well normally produces 26.4 t / d of fluid and 4.6 t / d of oil, with a water cut of 82.6%, a dynamic fluid level of 998.7 m, and chloride ion concentrations of 9806 mg / L. Suddenly, the well's production becomes abnormal, with daily fluid production surging to 40.3 t / d, daily oil production decreasing to 1.4 t / d, water cut rising to 96.5%, the dynamic fluid level reaching 458.7 m, and chloride ion concentrations reaching 10574 mg / L. The specific steps for determining casing leakage are as follows:

[0086] S1: Given that the daily liquid production during the normal period is fnormal = 26.4 t / d and the daily liquid production during the abnormal period is fabnormal = 40.3 t / d, according to formula (1), the daily liquid production change range Δf = (fabnormal - fnormal) / fnormal * 100% = (40.3 - 26.4) / 26.4 * 100% = 52.7%;

[0087] S2: Given that the daily water content Wnormal during the normal period is 82.6% and the daily water content Wabnormal during the abnormal period is 96.5%, according to formula (2), the daily water content change range ΔW = (Wabnormal - Wnormal) / Wnormal * 100% = (96.5 - 82.6) / 82.6 * 100% = 16.8%;

[0088] S3: Given that the dynamic liquid level Ms normal during the normal period is 998.7m and the dynamic liquid level Ms abnormal during the abnormal period is 458.7m, according to formula (3), the difference in dynamic liquid level ΔMs = (Ms normal - Ms abnormal) = 998.7 - 458.7 = 540.0m;

[0089] S4: Given that the chloride ion concentration Cl normal during the normal period is 9806 mg / L and the chloride ion concentration Cl abnormal during the abnormal period is 10574 mg / L, according to formula (4), the chloride ion concentration difference ΔCl = (Cl abnormal - Cl normal) = 10574 - 9806 = 768 mg / L;

[0090] S5: The values ​​of daily production fluid variation Δf, water cut variation ΔW, dynamic fluid level difference ΔMs, and chloride ion concentration difference ΔCl are calculated from the above steps. Given that the daily production fluid variation Δf = 52.7% ≥ 20%, water cut variation ΔW = 16.8% ≥ 15%, dynamic fluid level difference ΔMs = 540.0m < 800m, and chloride ion concentration difference ΔCl = 768mg / L < 3000mg / L, it is determined that this well is not a casing failure well, and other causes of production reduction need to be investigated.

[0091] Based on the above embodiments, refer to Figure 3 Another embodiment of this application also provides a high-efficiency oil well casing leakage identification device during high water cut periods. The high-efficiency oil well casing leakage identification device 300 during high water cut periods may include the following modules:

[0092] The first amplitude acquisition module is used to acquire the daily fluid production change amplitude Δf of the oil well;

[0093] The second amplitude acquisition module is used to acquire the daily water cut variation amplitude △W of the oil well;

[0094] The first difference acquisition module is used to acquire the dynamic fluid level difference ΔMs of the oil well;

[0095] The second difference acquisition module is used to acquire the chloride ion difference ΔCl in the oil well.

[0096] The judgment module is used to determine whether an abnormal well is a well with casing damage.

[0097] The location acquisition module is used to acquire the location y of the casing leakage point in the well with casing damage.

[0098] Based on the above embodiments, this application also provides a computer-readable storage medium, see reference. Figure 4The computer-readable storage medium shown is an optical disc 50, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it implements the steps described in the above-described method implementation, such as: obtaining the daily fluid production variation range Δf of the oil well; obtaining the daily water cut variation range ΔW of the oil well; obtaining the dynamic fluid level difference value ΔMs of the oil well; obtaining the chloride ion difference value ΔCl of the oil well; determining that the abnormal well is a casing failure well; and obtaining the location y of the casing leakage point of the casing failure well. The specific implementation methods of each step will not be repeated here.

[0099] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0100] Furthermore, based on the above embodiments, this application also provides a computing device. Figure 5 A block diagram is shown of an exemplary computing device 60 suitable for implementing embodiments of the present application. The computing device 60 may be a computer system or a server. Figure 5 The computing device 60 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0101] like Figure 5 As shown, the components of computing device 60 may include, but are not limited to: one or more processors or processing units 601, system memory 602, and bus 603 connecting different system components (including system memory 602 and processing unit 601).

[0102] The computing device 60 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 60, including volatile and non-volatile media, removable and non-removable media.

[0103] System memory 602 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 6021 and / or cache memory 6022. Computing device 60 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 6023 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 5 Not shown in the image (usually referred to as a "hard drive"). Although not shown in Figure 5The diagram illustrates that disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) can be provided. In these cases, each drive can be connected to a bus 603 that connects different system components via one or more data media interfaces. The system memory 602 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0104] A program / utility 6025 having a set (at least one) of program modules 6024 may be stored, for example, in system memory 602, and such program modules 6024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment. Program modules 6024 typically perform the functions and / or methods described in the embodiments of this application.

[0105] The computing device 60 can also communicate with one or more external devices 604 (such as a keyboard, pointing device, display, etc.). This communication can be performed via the input / output (I / O) interface 605. Furthermore, the computing device 60 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 606. Figure 5 As shown, network adapter 606 communicates with other modules of computing device 60 (such as processing unit 601, etc.) via bus 603, which connects different system components. It should be understood that, although... Figure 5 Other hardware and / or software modules may be used in conjunction with computing device 60, as not shown in the diagram.

[0106] The processing unit 601 executes various functional applications and data processing by running programs stored in the system memory 602. For example, it acquires the daily production rate change Δf of the oil well; acquires the daily water cut change ΔW of the oil well; acquires the dynamic fluid level difference ΔMs of the oil well; acquires the chloride ion difference ΔCl of the oil well; determines that the abnormal well is a casing failure well; and acquires the location y of the casing leakage point of the casing failure well. The specific implementation methods of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules of this high water cut period efficient oil well casing leakage identification device are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules for embodiment.

[0107] In the description of this application, it should be noted that the terms "first", "second", and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0108] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0109] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0110] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0111] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0112] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0113] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the technical scope disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

[0114] Furthermore, although the operations of the method of this application are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

Claims

1. A method for efficiently identifying casing leakage in oil wells during periods of high water cut, characterized in that, The method for efficiently identifying casing leakage in oil wells during high water-cut periods includes the following steps: S10, obtain the daily fluid production change range Δf of the oil well; S20, obtain the daily water cut variation ΔW of the oil well; S30, obtain the dynamic fluid level difference △Ms of the oil well; S40, obtain the chloride ion difference ΔCl in the oil well; S50, based on the acquired parameters, the abnormal well is determined to be a well with casing damage; S60, obtain the location y of the casing leakage point in the well with casing damage.

2. The method for efficiently identifying well casing leakage during high water-cut periods according to claim 1, characterized in that, S10 includes the following steps: S110, obtain the daily liquid production f during the normal period and the daily liquid production f during the abnormal period; S120, the daily fluid production variation Δf of the oil well is obtained based on the following formula: △f = (f abnormal - f normal) / f normal * 100% (1) In the formula: fnormal is the daily liquid production during the normal period, in t / d; fabnormal is the daily liquid production during the abnormal period, in t / d; Δf is the daily liquid production variation, in %.

3. The method for efficiently identifying well casing leakage during high water-cut periods according to claim 1, characterized in that, S20 includes the following steps: S210, obtain the daily water content W during the normal period and the daily water content W during the abnormal period; S220, the daily water cut variation ΔW of the oil well is obtained based on the following formula: △W = (W abnormal - W normal) / W normal * 100% (2) In the formula: Wnormal represents the daily water content during the normal period, in %; wabnormal represents the daily water content during the abnormal period, in %; Δf represents the daily water content variation, in %.

4. The method for efficiently identifying well casing leakage during high water-cut periods according to claim 1, characterized in that, S30 includes the following steps: S310, obtain the dynamic liquid level Ms during the normal period and the dynamic liquid level Ms during the abnormal period; S320, the dynamic fluid level difference ΔMs of the oil well is obtained based on the following formula: △Ms = (Ms normal - Ms abnormal) (3) In the formula: Ms_normal represents the dynamic liquid level during the normal period, in meters; Ms_abnormal represents the dynamic liquid level during the abnormal period, in meters; and ΔMs represents the difference in dynamic liquid level, in meters.

5. The method for efficiently identifying well casing leakage during high water-cut periods according to claim 1, characterized in that, S40 includes the following steps: S410, obtain the chloride ion concentration Cl during the normal period and the chloride ion concentration Cl during the abnormal period; S420, the chloride ion difference ΔCl in the oil well is obtained based on the following formula: △Cl = (Cl normal - Cl abnormal) (4) In the formula: Clnormal is the chloride ion concentration during the normal period, in mg / L; Clabnormal is the chloride ion concentration during the abnormal period, in mg / L; ΔCl is the difference in chloride ion concentration, in mg / L.

6. The method for efficiently identifying well casing leakage during high water-cut periods according to claim 1, characterized in that, In S50, if the daily production fluid variation Δf ≥ 20%, the water cut variation ΔW ≥ 15%, the dynamic fluid level difference ΔMs ≥ 800m, and the chloride ion concentration difference ΔCl ≥ 3000mg / L, then the abnormal well is determined to be a casing-damaged well.

7. The method for efficiently identifying oil well casing leakage during high water-cut periods according to claim 1, characterized in that, S60 includes the following steps: S610, the chloride ion difference ΔCl in the oil well is obtained based on the following formula: y = 0.1194*Cl (5) In the formula, y represents the location of the leak point in meters (m), and Cl represents the chloride ion concentration during the abnormal period in mg / L.

8. The method for efficiently identifying well casing leakage during high water-cut periods according to claim 1, characterized in that, Following S60, the following steps may also be included: S70, based on the location y of the leak point, implement potential tapping and remediation measures to improve reservoir development.

9. A highly efficient device for identifying leaking casing in oil wells during periods of high water cut, characterized in that, include: The first amplitude acquisition module is used to acquire the daily fluid production change amplitude Δf of the oil well; The second amplitude acquisition module is used to acquire the daily water cut variation amplitude △W of the oil well; The first difference acquisition module is used to acquire the dynamic fluid level difference ΔMs of the oil well; The second difference acquisition module is used to acquire the chloride ion difference ΔCl in the oil well; The judgment module is used to determine whether an abnormal well is a well with casing damage. The location acquisition module is used to acquire the location y of the casing leakage point in the well with casing damage.

10. A computer-readable storage medium, characterized in that, It includes instructions that, when executed on a computer, cause the computer to perform the efficient method for identifying well casing leakage during high water cut periods as described in any one of claims 1 to 8.

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