Drilling fluid circulation time prediction method, system and device based on aftereffect data
By using a drilling fluid circulation time prediction method based on aftereffect data and analyzing gas logging aftereffects and full hydrocarbon curves, the problem of inaccurate prediction of drilling fluid circulation cycles in existing technologies has been solved, thereby improving drilling efficiency and safety.
Patent Information
- Application Number
- CN202311493768.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-10
- Publication Date
- 2025-11-21
- Estimated Expiration
- 2043-11-10
AI Technical Summary
Existing technologies cannot predict the reaction of the aftereffects in the following week based on parameters such as the total hydrocarbon value and duration of the measured aftereffects. This makes it impossible to provide key decision-making basis for whether to continue circulation or drilling, resulting in reduced drilling efficiency and well control risks.
A method for predicting drilling fluid circulation time based on aftereffect data is provided. By detecting aftereffect reactions in gas logging, analyzing full hydrocarbon curves, and using a pre-constructed drilling fluid circulation period table, the aftereffect mode is determined and the circulation period of the drilling fluid is identified.
It enables accurate prediction of drilling fluid circulation cycles based on aftereffect data, ensuring the quality of gas logging data and drilling timeliness, reducing well control risks, and providing the best basis for drilling decisions.
Smart Images

Figure CN119981719B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the field of oil and gas engineering, and particularly relates to a drilling fluid circulation time prediction method, system and equipment based on aftereffect data. BACKGROUND
[0002] The higher the formation pressure and the longer the drilling fluid static time, the more active and longer the aftereffect reaction. Under the surface circulation condition, it is impossible to completely discharge all the aftereffect gas in the drilling fluid, and part of the oil and gas will still be dissolved in the drilling fluid. This part of the drilling fluid containing oil and gas is pumped into the well again, and the density of this part of the drilling fluid containing oil and gas will be relatively low. When passing through the oil and gas layer, instantaneous negative pressure will occur, and the formation oil and gas will again invade the drilling fluid and superimpose on the original oil and gas. After being circulated to the ground, it will be checked by the gas detector again, which is called aftereffect two weeks. Similarly, three weeks, four weeks and the like will also occur.
[0003] According to the logging specification requirements, the aftereffect of two weeks, three weeks and the like should be less than twice the background value to normally drill in. Otherwise, if drilling is resumed, the aftereffect value of two weeks, three weeks and the like will fall on the footage, and false display will occur, which will mislead the oil and gas layer evaluation. Therefore, it is necessary to continuously circulate and discharge gas until the aftereffect value meets the standard before drilling.
[0004] The drilling fluid circulation time of an ultra-deep well is very long. For example, when the aftereffect of well HT101 at a well depth of 7125m is measured, the drilling fluid circulation time of one week is about 8 hours. The large number of circulation weeks will reduce the drilling efficiency and increase the cost. At the same time, the high aftereffect of two weeks and three weeks will also bring well control risks. According to the measured aftereffect parameters such as total hydrocarbon value and duration, the reaction of the next week aftereffect can be predicted in advance, and key decision basis for whether to continue circulation or drilling is provided.
[0005] Based on this, the present application provides a drilling fluid circulation time prediction method, system and equipment based on aftereffect data. SUMMARY
[0006] In order to solve the above problems in the prior art, that is, the prior art cannot predict the reaction of the next week aftereffect in advance according to the measured aftereffect parameters such as total hydrocarbon value and duration, cannot provide key decision basis for whether to continue circulation or drilling, and thus cannot make timely decisions on whether to resume drilling, continue circulation or how many weeks to circulate, the present application provides a drilling fluid circulation time prediction method, system and equipment based on aftereffect data.
[0007] The present application provides a drilling fluid circulation time prediction method based on aftereffect data. When the aftereffect reaction is detected during drilling, the circulation period of the drilling fluid is obtained according to the degree of the aftereffect reaction and the duration of the high value. The method comprises the following steps:
[0008] Step S10, determining whether to perform detection of the gas logging aftereffect reaction according to the drilling parameters; if yes, determining whether the gas logging aftereffect reaction occurs based on the time of the drilling fluid being static and the concentration of the gas detected by the gas logging instrument; if yes, jumping to step S20;
[0009] Step S20, obtaining a well log, and obtaining a total hydrocarbon curve on the well log; obtaining an aftereffect total hydrocarbon value and a total hydrocarbon duration according to the total hydrocarbon curve, and determining an aftereffect mode in combination with a pre-constructed aftereffect mode determination method;
[0010] Step S30, matching the aftereffect mode based on a pre-constructed drilling fluid circulation period table to obtain a circulation period of the drilling fluid.
[0011] The pre-constructed drilling fluid circulation period table is a mapping relationship between a preset aftereffect mode and a set drilling fluid circulation period.
[0012] In some preferred embodiments, the aftereffect total hydrocarbon value is a peak value of the total hydrocarbon curve.
[0013] In some preferred embodiments, the total hydrocarbon duration is a time between half amplitude points of the total hydrocarbon curve.
[0014] In some preferred embodiments, the pre-constructed aftereffect mode determination method is:
[0015] When the aftereffect total hydrocarbon value is greater than a% and the total hydrocarbon duration is greater than a first preset time, the aftereffect mode is a high total hydrocarbon and long duration mode.
[0016] When the aftereffect total hydrocarbon value is between b%-a% and the total hydrocarbon duration is less than the first preset time, the aftereffect mode is a high value total hydrocarbon and short duration mode.
[0017] When the aftereffect total hydrocarbon value is less than b% and the total hydrocarbon duration is greater than the first preset time, the aftereffect mode is a low total hydrocarbon and long duration mode.
[0018] In some preferred embodiments, the pre-constructed drilling fluid circulation period table is:
[0019] When the aftereffect mode is the high total hydrocarbon and long duration mode, the drilling fluid circulates at least c weeks.
[0020] When the aftereffect mode is the high value total hydrocarbon and short duration mode, the drilling fluid circulates d weeks.
[0021] When the aftereffect mode is the low total hydrocarbon and long duration mode, the drilling fluid circulates d weeks.
[0022] In some preferred embodiments, the aftereffect total hydrocarbon value is less than twice the background value after the drilling fluid circulates for d cycles or at least c cycles.
[0023] In a second aspect, the present application provides a drilling fluid circulation time prediction system based on aftereffect data, and a drilling fluid circulation time prediction method based on aftereffect data.
[0024] The gas logging aftereffect reaction judging module is configured to determine whether the detection of the gas logging aftereffect reaction is to be performed according to the drilling parameters; if yes, the drilling fluid static time and the concentration of the gas detected by the gas logging instrument are used to determine whether the gas logging aftereffect reaction occurs; if yes, the aftereffect mode judging module is jumped to.
[0025] The aftereffect mode judging module is configured to obtain a well log, and obtain a total hydrocarbon curve on the well log; the aftereffect total hydrocarbon value and the total hydrocarbon duration are obtained according to the total hydrocarbon curve, and the aftereffect mode is determined in combination with a pre-constructed aftereffect mode judging method.
[0026] The circulation cycle judging module is configured to match the aftereffect mode based on a pre-constructed drilling fluid circulation cycle table, and obtain the circulation cycle of the drilling fluid.
[0027] The pre-constructed drilling fluid circulation cycle table is a mapping relationship between the preset aftereffect mode and the set drilling fluid circulation cycle.
[0028] In a third aspect, the present application provides an electronic device, which comprises:
[0029] at least one processor; and
[0030] a memory in communication connection with the at least one processor; wherein
[0031] The memory stores instructions executable by the processor, and the instructions are used to be executed by the processor to implement a drilling fluid circulation time prediction method based on aftereffect data.
[0032] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to be executed by the computer to implement a drilling fluid circulation time prediction method based on aftereffect data.
[0033] The present application has the following beneficial effects:
[0034] This invention discloses a method for predicting drilling fluid circulation time based on gas logging aftereffect data. It categorizes the method into three modes according to the degree and duration of the gas logging aftereffect reaction: a high total hydrocarbon, long duration mode (drilling fluid circulation three weeks); a high total hydrocarbon, short duration mode (at least two weeks); and a low total hydrocarbon, long duration mode (drilling fluid circulation one week). This invention effectively solves the problem of not being able to determine the number of drilling fluid circulation cycles after the occurrence of aftereffects, providing an optimal solution for ensuring the quality of gas logging data, drilling efficiency, and well control safety. Attached Figure Description
[0035] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:
[0036] Figure 1 This is a flowchart illustrating a drilling fluid circulation time prediction method based on aftereffect data according to the present invention.
[0037] Figure 2 This invention relates to a method for predicting drilling fluid circulation time based on aftereffect data.
[0038] Figure 3 This invention relates to a method for predicting drilling fluid circulation time based on aftereffect data.
[0039] Figure 4 This is a schematic diagram of the characteristic curves of gas logging parameters in a low-total-hydrocarbon, long-duration model, which is a drilling fluid circulation time prediction method based on aftereffect data according to the present invention.
[0040] Figure 5 This is a schematic diagram of the structure of a computer system used to implement the methods, systems, and devices of this application. Detailed Implementation
[0041] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.
[0042] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.
[0043] The first embodiment of the present invention, see [link to embodiment]. Figures 1-4The application provides a drilling fluid circulation time prediction method based on aftereffect data, which is used for obtaining a drilling fluid circulation period when a gas logging aftereffect reaction is detected during drilling drilling, according to the degree of the gas logging aftereffect reaction and the duration of a high value, and the method comprises the following steps.
[0044] In step S10, whether the gas logging aftereffect reaction detection is to be performed is determined according to the drilling parameters; if yes, whether the gas logging aftereffect reaction occurs is determined based on the time of the static drilling fluid and the concentration of the gas detected by the gas logging instrument; if yes, the step S20 is jumped to.
[0045] In step S20, a well log is obtained, and a total hydrocarbon curve is obtained on the well log; an aftereffect total hydrocarbon value and a total hydrocarbon duration are obtained according to the total hydrocarbon curve, and an aftereffect mode is determined by combining a pre-constructed aftereffect mode judgment method.
[0046] In step S30, the aftereffect mode is matched based on a pre-constructed drilling fluid circulation period table, and the circulation period of the drilling fluid is obtained.
[0047] The pre-constructed drilling fluid circulation period table is a mapping relationship between the pre-constructed aftereffect mode and the set drilling fluid circulation period.
[0048] Preferably, the aftereffect total hydrocarbon value is a peak value of the total hydrocarbon curve.
[0049] Preferably, the total hydrocarbon duration is the time between the half amplitude points of the total hydrocarbon curve.
[0050] Preferably, the pre-constructed aftereffect mode judgment method is as follows:
[0051] When the aftereffect total hydrocarbon value is greater than a% and the total hydrocarbon duration is greater than a first preset time, the aftereffect mode is a high total hydrocarbon and long duration mode.
[0052] When the aftereffect total hydrocarbon value is between b% and a%, and the total hydrocarbon duration is less than the first preset time, the aftereffect mode is a high value total hydrocarbon and short duration mode.
[0053] When the aftereffect total hydrocarbon value is less than b%, and the total hydrocarbon duration is greater than the first preset time, the aftereffect mode is a low total hydrocarbon and long duration mode.
[0054] Preferably, a is 50, b is 30, and the first preset time is 30 min.
[0055] Preferably, the pre-constructed drilling fluid circulation period table is as follows:
[0056] When the aftereffect mode is the high total hydrocarbon and long duration mode, the drilling fluid circulation is at least c weeks.
[0057] When the aftereffect mode is a high value total hydrocarbon, short duration mode, the drilling fluid is circulated d weeks;
[0058] When the aftereffect mode is a low total hydrocarbon, long duration mode, the drilling fluid is circulated d weeks.
[0059] Wherein, the c is 2, and the d is 1.
[0060] Optimal drilling, after the drilling fluid is circulated d weeks or at least c weeks, the aftereffect total hydrocarbon value is lower than twice the background value.
[0061] Figure 2 Medium: 1, aftereffect display; 2, aftereffect two weeks; 3, aftereffect three weeks; 4, half-width point; 5, drilling pressure, rotary table speed, drilling time; 6, 3# pump stroke, standpipe pressure, outlet flow; 7, outlet density, outlet temperature, outlet conductivity; 8, drilling pressure, rotary table speed, drilling time; 9, 3# pump stroke, standpipe pressure, outlet flow; 10, outlet density, outlet temperature, outlet conductivity; 11, drilling pressure, rotary table speed, drilling time; 12, 3# pump stroke, standpipe pressure, outlet flow; 13, outlet density, outlet temperature, outlet conductivity; 14, oil and gas show.
[0062] High total hydrocarbon, long duration mode example, Figure 2 is a well logging chart of LH sag XH11-4 well.
[0063] When drilling to 5908.95 m, the aftereffect was measured by tripping out, and the drilling fluid was static for 33.67 hours, and a very active aftereffect reaction occurred.
[0064] Determine the aftereffect mode
[0065] (1) Determine the total hydrocarbon peak. Total hydrocarbon show appeared at 07:00 on July 25, 2022, and reached the highest value of 100% at 07:25. The total hydrocarbon peak is 100%, as shown in Figure 2 Medium 1.
[0066] (2) Determine the high value duration. The time between the total hydrocarbon half-width points is 33 min. The high value duration is 33 min, as shown in Figure 2 Medium 4.
[0067] (3) Determine the aftereffect mode. The total hydrocarbon peak is 100%, and the high value duration is 33 min, which belongs to the high total hydrocarbon, long duration mode.
[0068] Determine the number of circulation weeks. The aftereffect belongs to the high total hydrocarbon, long duration mode, and the drilling fluid is circulated for three weeks.
[0069] (1) As shown in Figure 2As shown in Figure 2, the aftereffect is two weeks, with a total hydrocarbon peak of 30.5% and a background value of 1.0%. The aftereffect value for two weeks is significantly higher than the background value. Drilling pressure, rotary table speed, and drilling time are all zero. Figure 2 As shown in Figure 5; values for pump #3, riser pressure, and outlet flow are all available, such as... Figure 2 As shown in Figure 6; values are available for outlet density, outlet temperature, and outlet conductivity, as shown below. Figure 2 As shown in Figure 7, the above parameter characteristics indicate that the drilling fluid is circulating at this time, and drilling has not resumed.
[0070] (2) Figure 2 As shown in Figure 3, the peak total hydrocarbon concentration is 5.8% after three weeks of effect, compared to a background value of 1.0%. The value after two weeks of effect is higher than the background value. Drilling pressure, rotary table speed, and drilling time are all zero. Figure 2 As shown in Figure 8; values for pump #3, riser pressure, and outlet flow are all available, such as... Figure 2 As shown in Figure 9; values are available for outlet density, outlet temperature, and outlet conductivity, as shown in Figure 9. Figure 2 As shown in Figure 10, the above parameter characteristics indicate that the drilling fluid is circulating at this time, and drilling has not resumed.
[0071] (3) After testing for three weeks, drilling resumed at 15:00 and oil and gas indications were found, with a total hydrocarbon value of 9.6%. Figure 2 As shown in Figure 14, drilling pressure, rotary table speed, and drilling time all have values, such as... Figure 2 As shown in Figure 11; values for pump #3's flushing, riser pressure, and outlet flow rate are all available, such as... Figure 2 As shown in Figure 12; the outlet density, outlet temperature, and outlet conductivity all have values, such as... Figure 3 As shown in Figure 13, the above parameter characteristics indicate that the machine is currently in the drilling phase.
[0072] Figure 3 In the middle: 1. Aftereffect display; 2. Aftereffect two weeks; 3. Half-amplitude point; 4. Drilling pressure, rotary table speed, drilling time; 5. No. 1 pump flush, riser pressure, outlet flow rate; 6. Outlet density, outlet temperature, outlet conductivity; 7. Drilling pressure, rotary table speed, drilling time; 8. No. 1 pump flush, riser pressure, outlet flow rate; 9. Outlet density, outlet temperature, outlet conductivity.
[0073] Example of a high-value full-hydrocarbon, short-duration mode. Figure 3 This is a logging image of well XH21 in the LH Depression.
[0074] When drilling reached 6603.88m, the drilling fluid was pulled out to measure the aftereffects. After 61.9 hours of stillness, a relatively active aftereffect reaction was observed.
[0075] Determine the aftereffect mode
[0076] (1) Determine the total hydrocarbon peak. The total hydrocarbon display appeared at 14:10 on October 16, 2022, and reached a maximum value of 66.3% at 14:24. The total hydrocarbon peak is 66.3%, as shown in Figure 1 1.
[0077] (2) Determine the duration of high value. The time between total hydrocarbon half amplitude points is 22 min. The duration of high value is 22 min, as shown in Figure 3 3.
[0078] (3) Determine the aftereffect mode. The total hydrocarbon peak is 66.3%, and the duration of high value is 220 min, which belongs to the high total hydrocarbon and short duration mode.
[0079] Determine the cycle number. The aftereffect belongs to the high total hydrocarbon and short duration mode, and the drilling fluid is circulated for one cycle.
[0080] (1) After the aftereffect is measured, drilling resumes at 15:07. The WOB, rotary speed, and drilling time all have values, as shown in Figure 3 4; the 1# pump stroke, standpipe pressure, and outlet flow rate all have values, as shown in Figure 3 5; and the outlet density, outlet temperature, and outlet conductivity all have values, as shown in Figure 3 6. From the above parameter characteristics, it can be known that this time is in the drilling state.
[0081] (2) As shown in Figure 3 2, it is the position of the second week of the aftereffect, the total hydrocarbon peak is 1.2%, the background value is 0.8%, and the second week of the aftereffect is lower than twice the background value, which has little effect on gas logging. At this point, the WOB, rotary speed, and drilling time all have values, as shown in Figure 3 7; the 1# pump stroke, standpipe pressure, and outlet flow rate all have values, as shown in Figure 3 8; and the outlet density, outlet temperature, and outlet conductivity all have values, as shown in Figure 4 9. From the above parameter characteristics, it can be known that this time is in the drilling state.
[0082] Figure 4 Note: 1, aftereffect display; 2, second week of aftereffect; 3, half amplitude point; 4, WOB, rotary speed, and drilling time; 5, 1# pump stroke, standpipe pressure, and outlet flow rate; 6, outlet density, outlet temperature, and outlet conductivity; 7, WOB, rotary speed, and drilling time; 8, 1# pump stroke, standpipe pressure, and outlet flow rate; 9, outlet density, outlet temperature, and outlet conductivity.
[0083] Low-value total hydrocarbon, long-duration mode example, Figure 4 is the LG sag AT1-5 well logging chart.
[0084] When drilling to 4285.49 m, the drill string is lowered to measure the aftereffect, and the drilling fluid is static for 37.12 hours, and a relatively active aftereffect reaction occurs.
[0085] Determine the aftereffect mode
[0086] (1) Determine the total hydrocarbon peak. The total hydrocarbon display appeared at 16:10 on April 5, 2023, and the total hydrocarbon reached the highest value of 29.6% at 16:43. The total hydrocarbon peak of 29.6% is shown in FIG. 1. Figure 1
[0087] (2) Determine the high value duration. The time between the total hydrocarbon half amplitude points is 35 min. The high value duration is 35 min, as shown in FIG. 3. Figure 4
[0088] (3) Determine the aftereffect mode. The total hydrocarbon peak is 29.6%, and the high value duration is 35 min, which belongs to the low total hydrocarbon and long duration mode.
[0089] Determine the cycle number. The aftereffect belongs to the low total hydrocarbon and long duration mode, and the drilling fluid is circulated for one week.
[0090] (1) After the aftereffect is measured, drilling resumes at 17:14. The WOB, rotary speed, and drilling time all have values, as shown in FIG. 4; the 1# pump stroke, standpipe pressure, and outlet flow rate all have values, as shown in FIG. 5; and the outlet density, outlet temperature, and outlet conductivity all have values, as shown in FIG. 6. It can be known from the above parameter characteristics that this is in the drilling state. Figure 4 Figure 4 Figure 4
[0091] (2) As shown in FIG. 2, it is the position of the second week of the aftereffect, the total hydrocarbon peak is 2.2%, the background value is 2.0%, and the second week value of the aftereffect is lower than twice the background value, which has basically no effect on the gas logging. The WOB, rotary speed, and drilling time all have values, as shown in FIG. 7; the 1# pump stroke, standpipe pressure, and outlet flow rate all have values, as shown in FIG. 8; and the outlet density, outlet temperature, and outlet conductivity all have values, as shown in FIG. 9. It can be known from the above parameter characteristics that this is in the drilling state. Figure 4 Figure 4 Figure 5 Figure 5
[0092] Although the steps in the above examples are described in the above order, it can be understood by those skilled in the art that, in order to achieve the effect of the present embodiment, the different steps do not have to be executed in such an order, and they can be executed simultaneously (in parallel) or in a reversed order, and these simple changes are within the protection scope of the present application.
[0093] The second embodiment of the present application provides a drilling fluid circulation time prediction system based on aftereffect data, based on a drilling fluid circulation time prediction method based on aftereffect data, and the system comprises:
[0094] a gas logging aftereffect reaction judging module configured to judge whether detection of a gas logging aftereffect reaction is to be performed according to drilling parameters; if yes, judge whether the gas logging aftereffect reaction occurs based on the time of the drilling fluid being static and the concentration of the gas detected by the gas logging instrument; if yes, jump to the aftereffect mode judging module;
[0095] the aftereffect mode judging module is configured to obtain a well log, and obtain a total hydrocarbon curve on the well log; obtain an aftereffect total hydrocarbon value and a total hydrocarbon duration according to the total hydrocarbon curve, and determine the aftereffect mode in combination with a pre-constructed aftereffect mode judging method;
[0096] the cycle period judging module is configured to match the aftereffect mode based on a pre-constructed drilling fluid circulation cycle table, and obtain the circulation cycle of the drilling fluid.
[0097] The pre-constructed drilling fluid circulation cycle table is a mapping relationship between a preset aftereffect mode and a set drilling fluid circulation cycle.
[0098] The third embodiment of the present application provides an electronic device, which comprises:
[0099] at least one processor; and
[0100] a memory in communication connection with the at least one processor; wherein
[0101] The memory stores instructions executable by the processor, and the instructions are used to be executed by the processor to realize a drilling fluid circulation time prediction method based on aftereffect data.
[0102] The fourth embodiment of the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to be executed by the computer to realize a drilling fluid circulation time prediction method based on aftereffect data.
[0103] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process and related description of the system described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.
[0104] It should be noted that the above embodiment provides a drilling fluid circulation time prediction system based on aftereffect data, and only the above-mentioned division of each functional module is used as an example. In actual application, the above-mentioned functions can be completed by different functional modules according to needs, that is, the modules or steps in the embodiment of the application are further decomposed or combined, for example, the modules of the above-mentioned embodiment can be combined into one module, or can be further split into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the application are only for distinguishing each module or step, and should not be considered as an improper limitation of the application.
[0105] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the storage device and the processing device described above and the related description can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.
[0106] Those skilled in the art should be aware that the modules and method steps of each example described in connection with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. The programs corresponding to the software modules and method steps can be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. In order to clearly illustrate the interchangeability of electronic hardware and software, the components and steps of each example have been generally described in the foregoing description. Whether the functions are performed by electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the application.
[0107] Reference will now be made to the following description Figure 5 which shows the structure of a computer system of a server for implementing the method, system, and device embodiments of the present application. The server shown is only an example and should not limit the functions and use range of the embodiments of the present application.
[0108] As As shown, the computer system includes a central processing unit (CPU) 501 which can perform various appropriate actions and processes in accordance with a program stored in a read only memory (ROM) 502 or a program loaded from a storage section 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the system are also stored. The CPU 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.
[0109] Connected to the I / O interface 505 are an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a display device such as a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as required. A removable recording medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive 510 as required, so that a computer program read out therefrom is installed in the storage section 508 as required.
[0110] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program comprising program code for performing the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 509, and / or installed from the removable medium 511. When the computer program is executed by the central processing unit (CPU) 501, the above-described functions defined in the methods of the present application are performed. It should be noted that the computer readable medium of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any suitable combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus or device. In the present application, the computer readable signal medium can include a data signal carried in a baseband or as part of a carrier wave, in which the computer readable program code is carried. Such a propagated data signal can take any of a variety of forms, including but not limited to electro-magnetic, optical, or any suitable combination thereof. The computer readable signal medium can also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate or transport a program for use by or in connection with an instruction execution system, apparatus or device. Program code contained on the computer readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire line, optical fiber cable, RF, etc., or any suitable combination of the above.
[0111] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).
[0112] The computer program instructions can also be loaded onto a computer or other programmable information processing apparatus to cause a series of operations to be performed on the computer or other programmable information processing apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable information processing apparatus implement the functions / acts specified in the flowchart and / or block diagram block or blocks.
[0113] The terms "first", "second", etc. are used to distinguish between similar objects, and are not used to describe or indicate a particular order or sequence.
[0114] The terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus.
[0115] The technical scheme of the present application has been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical schemes after the changes or replacements will all fall within the protection scope of the present application.
Claims
1. A drilling fluid circulation time prediction method based on aftereffect data, used to obtain the drilling fluid circulation cycle based on the degree and duration of the high-value aftereffect reaction when a gas logging aftereffect is detected during drilling, characterized in that... The method includes the following steps: Step S10: Determine whether to detect the gas logging aftereffect based on the drilling parameters; if so, determine whether the gas logging aftereffect has occurred based on the drilling fluid settling time and the gas concentration detected by the gas meter. If this occurs, proceed to step S20; Step S20: Obtain a well logging chart and acquire a total hydrocarbon curve on the well logging chart; acquire the aftereffect total hydrocarbon value and total hydrocarbon duration based on the total hydrocarbon curve, and determine the aftereffect mode by combining the pre-constructed aftereffect mode judgment method. Step S30: Based on the pre-constructed drilling fluid circulation cycle table, the aftereffect mode is matched to obtain the circulation cycle of the drilling fluid. The pre-constructed drilling fluid circulation cycle table is a mapping relationship between a preset aftereffect mode and a set drilling fluid circulation cycle.
2. The drilling fluid circulation time prediction method based on aftereffect data according to claim 1, characterized in that, The aftereffect total hydrocarbon value is the peak value of the total hydrocarbon curve.
3. The drilling fluid circulation time prediction method based on aftereffect data according to claim 1, characterized in that, The duration of the total hydrocarbon curve is the time between the half-amplitude points of the total hydrocarbon curve.
4. The drilling fluid circulation time prediction method based on aftereffect data according to claim 1, characterized in that, The method for determining the pre-constructed aftereffect pattern is as follows: When the aftereffect total hydrocarbon value is greater than a%, and the total hydrocarbon duration is greater than the first preset time, the aftereffect mode is a high total hydrocarbon, long duration mode. When the aftereffect total hydrocarbon value is between b% and a%, and the duration of the total hydrocarbon is less than the first preset time, the aftereffect mode is a high-value total hydrocarbon, short-duration mode. When the aftereffect total hydrocarbon value is less than b%, and the total hydrocarbon duration is greater than the first preset time, the aftereffect mode is a low total hydrocarbon, long duration mode.
5. The drilling fluid circulation time prediction method based on aftereffect data according to claim 1, characterized in that, The pre-constructed drilling fluid circulation cycle table is as follows: When the aftereffect mode is a high total hydrocarbon, long duration mode, the drilling fluid circulation is at least c cycles; When the aftereffect mode is a high-value total hydrocarbon, short-duration mode, the drilling fluid circulates for d cycles. When the aftereffect mode is a low total hydrocarbon, long duration mode, the drilling fluid circulates for d cycles.
6. The drilling fluid circulation time prediction method based on aftereffect data according to claim 5, characterized in that, After the drilling fluid has circulated for d cycles or at least c cycles, the aftereffect total hydrocarbon value is less than twice the background value.
7. A drilling fluid circulation time prediction system based on aftereffect data, characterized in that, A drilling fluid circulation time prediction method based on aftereffect data according to any one of claims 1-6, the system comprising: The gas logging aftereffect reaction judgment module is configured to determine whether to perform gas logging aftereffect reaction detection based on drilling parameters; if so, it determines whether gas logging aftereffect reaction has occurred based on the drilling fluid settling time and the gas concentration detected by the gas meter; if it has occurred, it jumps to the aftereffect mode judgment module. The aftereffect mode determination module is configured to acquire a well logging chart, acquire a total hydrocarbon curve on the well logging chart, acquire the aftereffect total hydrocarbon value and total hydrocarbon duration based on the total hydrocarbon curve, and determine the aftereffect mode by combining the pre-constructed aftereffect mode determination method. The cycle period determination module is configured to match the aftereffect pattern based on a pre-built drilling fluid cycle period table to obtain the cycle period of the drilling fluid. The pre-constructed drilling fluid circulation cycle table is a mapping relationship between a preset aftereffect mode and a set drilling fluid circulation cycle.
8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to at least one of the processors; wherein, The memory stores instructions that can be executed by the processor to implement the drilling fluid circulation time prediction method based on aftereffect data as described in any one of claims 1-6.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that are executed by the computer to implement the drilling fluid circulation time prediction method based on aftereffect data as described in any one of claims 1-6.
Citation Information
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