Deep carbonate rock gas well production allocation factor determination method, device, equipment and medium

Abstract

The embodiment of the invention discloses a method and device for determining production allocation factors of a deep carbonate rock gas well, equipment and a medium. The method comprises the following steps: establishing an unstable flow binomial productivity equation according to dynamic parameters and static parameters of a target gas well, and determining a relationship between yields corresponding to different production times and flowing bottomhole pressures; determining the quasi-stable time when the yield of the target gas well reaches the quasi-stable flow, and determining the relationship between the yield corresponding to the quasi-stable time and the flowing bottomhole pressure according to the relationship between the yield corresponding to different times and the flowing bottomhole pressure; and according to the relation between the yield corresponding to the quasi-stabilization time and the flowing bottomhole pressure and the relation between the oil pipe outflow and the flowing bottomhole pressure, the reasonable yield of the target gas well is determined for production allocation. According to the scheme, the reasonable yield of the target gas well corresponding to the quasi-stable state can be reasonably determined, the accuracy and reference of the reasonable yield of the target gas well are improved, production allocation is carried out based on the reasonable yield of the target gas well, and the reasonability of production allocation is improved.

Description

Technical Field

[0001] This application relates to the field of petroleum engineering technology, and in particular to a method, apparatus, equipment and medium for determining production factors in deep carbonate gas wells. Background Technology

[0002] With the continuous development of deep oil and gas theory and technology, deep carbonate gas reservoirs, possessing enormous resource potential, have become a key area for future fossil energy exploration and development. Deep carbonate gas reservoirs have undergone a long geological history and multiple phases of tectonic and diagenetic processes. Various reservoir media exhibit irregular distribution patterns in both vertical and horizontal directions, forming highly heterogeneous reservoir characteristics and diverse reservoir types. Their development characteristics differ significantly from those of conventional gas reservoirs.

[0003] For conventional gas reservoirs, the production capacity equation of a gas well is generally obtained using the production capacity testing method based on steady flow theory. This method requires the gas well to reach a steady flow state during the testing process, with both production and bottom hole pressure remaining stable. Significantly different from conventional gas reservoirs, deep carbonate gas reservoirs, due to their large burial depth, low porosity and permeability, and strong heterogeneity, have high development costs. To improve production efficiency, they are often developed using process wells combined with artificial stimulation (acidizing or acid fracturing). These wells are in an unstable flow state for extended periods, resulting in highly time-sensitive production capacity, especially in the early stages of production. Furthermore, because carbonate gas reservoirs generally contain H2S, for safety and environmental reasons, the testing time for new wells is often short (2-4 hours). There is a significant difference between short-term testing capacity and long-term stable capacity. Commonly used steady flow analysis methods are less applicable to these types of gas wells, leading to inappropriate production allocation. Summary of the Invention

[0004] This application provides a method, apparatus, equipment, and medium for determining production allocation factors in deep carbonate gas wells, so as to determine accurate and reliable target gas well production to guide production allocation and improve the rationality of production allocation.

[0005] According to one aspect of this application, a method for determining production factors in deep carbonate gas wells is provided, the method comprising:

[0006] Based on the dynamic and static parameters of the target gas well, an unsteady flow binomial production capacity equation is established to determine the relationship between production and bottom hole flowing pressure at different production times.

[0007] Determine the stabilization time when the production of the target gas well reaches the pseudo-steady flow, and based on the relationship between the production and bottom hole flowing pressure corresponding to different times, determine the relationship between the production and bottom hole flowing pressure corresponding to the stabilization time;

[0008] Based on the relationship between production and bottom hole flowing pressure corresponding to the stabilization time, and the relationship between tubing outflow and bottom hole flowing pressure, the reasonable production of the target gas well is determined, and production is allocated based on the reasonable production of the target gas well.

[0009] According to one aspect of this application, a device for determining production factors in deep carbonate gas wells is provided, the device comprising:

[0010] The first relationship determination module is used to establish an unsteady flow binomial production capacity equation based on the dynamic and static parameters of the target gas well, and to determine the relationship between the production capacity and the bottom hole flowing pressure corresponding to different production times.

[0011] The second relationship determination module is used to determine the stabilization time when the production of the target gas well reaches the pseudo-steady flow, and to determine the relationship between the production and bottom hole pressure corresponding to the pseudo-steady time based on the relationship between the production and bottom hole pressure corresponding to different times.

[0012] The target production factor determination module is used to determine the reasonable production of the target gas well based on the relationship between the production rate and the bottom hole flowing pressure corresponding to the proposed stabilization time, and the relationship between the tubing outflow and the bottom hole flowing pressure, so as to allocate production based on the reasonable production of the target gas well.

[0013] According to another aspect of this application, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] Memory connected to at least one processor for data processing; wherein,

[0016] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the production factor determination method of any embodiment of this application.

[0017] According to another aspect of this application, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute the production factor determination method of any embodiment of this application.

[0018] The technical solution of this application establishes an unsteady flow binomial production capacity equation based on the dynamic and static parameters of the target gas well, determining the relationship between production and bottom hole flowing pressure at different production times; it determines the pseudo-steady time when the production of the target gas well reaches the pseudo-steady flow, and based on the relationship between production and bottom hole flowing pressure at different times, determines the relationship between production and bottom hole flowing pressure at the time corresponding to reaching the pseudo-steady flow; based on the relationship between production and bottom hole flowing pressure at the pseudo-steady flow time, and the relationship between tubing outflow and bottom hole flowing pressure, it determines the reasonable production of the target gas well, and allocates production based on the reasonable production of the target gas well. This solution can reasonably determine the reasonable production of the target gas well corresponding to the pseudo-steady flow state, improving the accuracy and reference value of the reasonable production of the target gas well, and improving the rationality of production allocation based on the reasonable production of the target gas well.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a method for determining production factors provided in this application embodiment;

[0022] Figure 2 A flowchart illustrating a method for determining production factors, as provided in another embodiment of this application;

[0023] Figure 3 This is a flowchart illustrating a specific implementation process of an embodiment of this application;

[0024] Figure 4 This is an IPR curve diagram of an embodiment of this application;

[0025] Figure 5 IPR curves and TPC intersection diagrams are provided for embodiments of this application;

[0026] Figure 6 This is a schematic diagram of a production factor determination device provided in an embodiment of this application;

[0027] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0029] It should be noted that the terms "first," "second," "third," "fourth," "actual," "preset," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] Figure 1 This is a flowchart illustrating a method for determining production allocation factors according to an embodiment of this application. This embodiment is applicable to situations where the production rate of a target gas well is determined to guide production allocation. This method can be executed by a production allocation factor determination device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0031] S110. Based on the dynamic and static parameters of the target gas well, establish an unsteady flow binomial production capacity equation to determine the relationship between production output and bottom hole flowing pressure at different production times.

[0032] The target gas well is the well for which production forecasting and production allocation are required. Dynamic and static parameters are parameters related to the target gas well used to calculate its production, such as effective permeability, well-controlled dynamic reserves, well-controlled drainage area, skin factor, and non-Darcy flow factor. Modern production decline analysis can be performed using daily production data of the target gas well, casing string parameters, and reservoir parameters. An analytical model method is used to fit the gas well production curve to obtain the gas well's dynamic parameters. Examples of dynamic and static parameters are shown in Table 1.

[0033] Table 1

[0034] parameter unit numerical values Original pressure of gas reservoir MPa 57 Formation temperature ℃ 153 Porosity ％ 4.1 Effective thickness m 25 gas saturation ％ 75 Overall compression ratio <![CDATA[MPa -1 ]]> 7.27E+03 Wellbore radius m 0.076 Effective penetration rate mD 0.08 Non-Darcy turbulence coefficient <![CDATA[(10 4 m 3 / d) -1 ]]> 0 Total epidermal coefficient / -11.16 Well-controlled dynamic reserves <![CDATA[10 8 m 3 ]]> 1.88 Well-controlled discharge area <![CDATA[km 2 ]]> 0.81

[0035] For example, after a target gas well is put into production, it is in an unstable seepage state before the pressure wave reaches the boundary. An unsteady-flow binomial productivity equation can be established based on the dynamic and static parameters of the target gas well to determine the relationship between production and bottom hole flowing pressure at different times. Specifically, the unsteady-flow binomial productivity equation is as follows:

[0036]

[0037] Where, p R The pressure of the gas reservoir is MPa; p wf q is the bottom hole flowing pressure, MPa; g The target wellhead production is 104 m3 / d. The reference viscosity, in mPa·s, is the average viscosity of the gas layer. is the average natural gas deviation factor under formation conditions, which is dimensionless; The average temperature under formation conditions, in K; T SC =293.16K, p SC =0.1013MPa; φ is the porosity of the gas reservoir, decimal; K is the effective permeability of the gas reservoir, mD; t is time, h; h is the effective thickness of the gas reservoir, m; C t S represents the overall compressibility coefficient of the gas reservoir, in MPa⁻¹; a S is the apparent skin factor for the target gas well. a =S+Dq; S is the target gas well true skin coefficient; D is the non-Darcy flow coefficient, (104 m3 / d)-1; r w Let be the radius of the gas well shaft, in meters (m).

[0038] make

[0039]

[0040] Then there is

[0041] S120. Determine the pseudo-stabilization time when the production of the target gas well reaches the pseudo-stabilized flow, and determine the relationship between the production and bottom hole pressure corresponding to the pseudo-stabilization time based on the relationship between the production and bottom hole pressure corresponding to different times.

[0042] For example, if production allocation is guided by the production rate during the testing phase of the target gas well, the production rate during the testing phase will differ significantly from the production rate under the quasi-steady-state condition, leading to unreasonable and inaccurate production allocation results. In this embodiment, the time when the production rate of the target gas well reaches the quasi-steady flow is determined. Based on the relationship between the production rate and the bottom hole flowing pressure corresponding to different times, the relationship between the production rate and the bottom hole flowing pressure corresponding to the quasi-steady-state time is determined, thereby determining the production rate of the target gas well under the quasi-steady-state condition.

[0043] For example, the time it takes for the target gas well to reach a pseudo-steady flow can be determined first based on the dynamic and static parameters of the target gas well. Then, based on the relationship between production rate and bottom hole flowing pressure at different times, the relationship between production rate and bottom hole flowing pressure corresponding to the pseudo-steady time can be determined.

[0044] The time it takes for a conventional target gas well to reach a pseudo-steady flow:

[0045]

[0046] For target gas wells modified by fracturing / acidizing processes, the time to reach pseudo-steady flow is:

[0047]

[0048] Among them, t pss The time, h, for the target gas well flow to reach pseudo-steady state; (t) DA ) pss The dimensionless time for the target gas well to reach quasi-steady flow is given by the gas reservoir boundary shape and the well location; A is the drainage area of ​​the target gas well, in m²; (t Dxf ) pss The dimensionless time to near-steady flow in a target gas well for fracturing / acidizing is related to the reservoir boundary shape and the well location; f Let the crack length be m.

[0049] S130. Based on the relationship between the production rate and bottom hole flowing pressure corresponding to the proposed stabilization time, and the relationship between the tubing outflow and bottom hole flowing pressure, determine the reasonable production rate of the target gas well, and allocate production based on the reasonable production rate of the target gas well.

[0050] For example, the reasonable production rate of a target gas well can be determined based on the relationship between production rate and bottom hole flowing pressure corresponding to the quasi-stabilization time, and the relationship between tubing outflow and bottom hole flowing pressure. The relationship between tubing outflow and bottom hole flowing pressure can be determined using existing technology. Specifically, the reasonable production rate of the target gas well can be determined by the point where the relationship between production rate and bottom hole flowing pressure corresponding to the quasi-stabilization time coincides with the relationship between tubing outflow and bottom hole flowing pressure. This indicates that the amount flowing from the formation into the bottom hole and the amount flowing out of the wellhead from the bottom hole are balanced, and this is used as the reasonable production rate for the quasi-stabilized flow.

[0051] The technical solution of this application establishes an unsteady flow binomial production capacity equation based on the dynamic and static parameters of the target gas well, determines the relationship between production and bottom hole flowing pressure corresponding to different production times, determines the pseudo-steady time when the production of the target gas well reaches the pseudo-steady flow, and determines the relationship between production and bottom hole flowing pressure corresponding to the pseudo-steady time based on the relationship between production and bottom hole flowing pressure corresponding to different times, and determines the reasonable production of the target gas well based on the relationship between production and bottom hole flowing pressure corresponding to the pseudo-steady time and the relationship between tubing outflow and bottom hole flowing pressure, so as to allocate production based on the reasonable production of the target gas well. The above solution can reasonably determine the reasonable production of the target gas well corresponding to the pseudo-steady flow state, improve the accuracy and reference of the reasonable production of the target gas well, and improve the rationality of production allocation based on the reasonable production of the target gas well.

[0052] Figure 2 This is a flowchart illustrating a method for determining production factors according to another embodiment of this application. This embodiment is an optimization based on the above embodiment; solutions not described in detail in this embodiment are found in the above embodiment. Figure 2 As shown, the method in this embodiment of the application specifically includes the following steps:

[0053] S210. Based on the dynamic and static parameters of the target gas well, establish an unsteady flow binomial production capacity equation to determine the relationship between production and bottom hole flowing pressure at different production times.

[0054] S220. Determine the pseudo-stabilization time when the production of the target gas well reaches the pseudo-stabilized flow, and determine the relationship between the production and bottom hole pressure corresponding to the pseudo-stabilization time based on the relationship between the production and bottom hole pressure corresponding to different times.

[0055] S230. Based on the relationship between the production rate and the bottom hole flowing pressure corresponding to the quasi-stabilization time, determine the quasi-stabilization production rate and bottom hole flowing pressure curve.

[0056] For example, a curve of purported stable production rate versus bottom hole pressure can be determined based on the relationship between production rate and bottom hole pressure corresponding to the stabilization time. In this curve, the vertical axis represents bottom hole pressure and the horizontal axis represents production rate.

[0057] S240. Determine the tubing outflow rate versus bottom hole pressure curve based on the relationship between tubing outflow rate and bottom hole pressure.

[0058] For example, the relationship between tubing outflow and bottom hole flowing pressure can be represented by a curve. Similarly, corresponding to the quasi-steady production rate and bottom hole flowing pressure curve, the vertical axis represents bottom hole flowing pressure, and the horizontal axis represents production rate. The quasi-steady production rate and bottom hole flowing pressure curve and the tubing outflow rate and bottom hole flowing pressure curve can be plotted on the same coordinate system.

[0059] S250. Based on the proposed stable production rate and bottom hole flowing pressure curve and the tubing outflow and bottom hole flowing pressure curve, determine the reasonable production rate of the target gas well, and allocate production based on the reasonable production rate of the target gas well.

[0060] For example, the reasonable production rate of a target gas well can be determined based on the relationship between the purported stable production rate and the bottom-hole flowing pressure curve, and the relationship between the tubing outflow rate and the bottom-hole flowing pressure curve. Specifically, the purported stable production rate and bottom-hole flowing pressure curve represents the inflow rate from the formation to the bottom of the well, while the tubing outflow rate and bottom-hole flowing pressure curve represents the outflow rate from the bottom of the well to the wellhead. When the inflow rate and the outflow rate are equal, it indicates that the corresponding production rate is stable and reasonable, and the production rate under this condition is taken as the reasonable production rate of the target gas well.

[0061] In this embodiment of the application, the reasonable production rate of the target gas well is determined based on the proposed stable production rate versus bottom hole flowing pressure curve and the tubing outflow versus bottom hole flowing pressure curve, including:

[0062] Determine the intersection points of the proposed stable production rate versus bottom hole flowing pressure curve and the tubing outflow versus bottom hole flowing pressure curve;

[0063] The production rate corresponding to the intersection point is taken as the reasonable production rate of the target gas well.

[0064] For example, the intersection of the proposed stable production rate and the bottom hole flowing pressure curve, as well as the tubing outflow and the bottom hole flowing pressure curve, represents the point where the inflow from the formation to the bottom of the well is equal to the outflow from the bottom of the well to the wellhead. Therefore, the intersection of the proposed stable production rate and the bottom hole flowing pressure curve, as well as the tubing outflow and the bottom hole flowing pressure curve, can be determined, and the production rate corresponding to this intersection point can be taken as the reasonable production rate of the target gas well.

[0065] This application provides a method for determining production allocation factors for deep carbonate gas wells. It establishes an unsteady-flow binomial production capacity equation based on the dynamic and static parameters of the target gas well, determining the relationship between production and bottom hole flowing pressure at different production times. It determines the pseudo-steady time when the target gas well's production reaches the pseudo-steady flow, and based on the relationship between production and bottom hole flowing pressure at different times, determines the relationship between production and bottom hole flowing pressure at the pseudo-steady time. Based on the relationship between production and bottom hole flowing pressure at the pseudo-steady time, it determines the pseudo-steady production-bottom hole flowing pressure curve. Based on the relationship between tubing outflow and bottom hole flowing pressure, it determines the tubing outflow-bottom hole flowing pressure curve. Based on the pseudo-steady production-bottom hole flowing pressure curve and the tubing outflow-bottom hole flowing pressure curve, it determines the reasonable production of the target gas well, and allocates production based on this reasonable production. This method can accurately determine the target gas well production under the pseudo-steady flow state based on the pseudo-steady production-bottom hole flowing pressure curve and the tubing outflow-bottom hole flowing pressure curve, exhibiting higher accuracy and reliability, thus accurately guiding production allocation. Calculating the target gas well production using curves allows for a more intuitive and clear understanding of under what conditions the reasonable production rate of the target gas well is stable, thus improving the accuracy and reliability of the target gas well production rate.

[0066] In this embodiment of the application, the method further includes:

[0067] Based on the relationship between production output and bottom hole flowing pressure corresponding to different production times, determine the relationship between production output and bottom hole flowing pressure corresponding to the gas testing time;

[0068] Based on the relationship between the production rate corresponding to the gas testing time and the bottom hole flowing pressure, as well as the relationship between the tubing outflow and the bottom hole flowing pressure, the production capacity allocation for the target gas well testing is determined.

[0069] For example, the testing time is generally known, such as 2-4 hours. The relationship between production and bottom-hole flowing pressure corresponding to different production times can be determined. Based on this relationship, and considering the relationship between tubing outflow and bottom-hole flowing pressure, the production capacity allocation for the target gas well can be determined. Specifically, the relationship between production and bottom-hole flowing pressure corresponding to the testing time represents the inflow from the formation to the bottom of the well, while the relationship between tubing outflow and bottom-hole flowing pressure represents the outflow from the bottom of the well to the wellhead. When the inflow and outflow are equal, the current production is relatively accurate and reliable. Therefore, the intersection of these relationships can be determined, and the production at this intersection can be used as the production capacity allocation for the target gas well.

[0070] In this embodiment of the application, the method further includes:

[0071] If the reasonable production of the target gas well is less than the test production capacity of the target gas well, and the difference between the reasonable production of the target gas well and the test production capacity of the target gas well is greater than a preset difference, production shall be allocated based on the reasonable production of the target gas well.

[0072] For example, if there is a significant difference between the reasonable production rate of the target gas well and the production allocation based on the testing capacity, it indicates that the production allocation based solely on the testing capacity is inaccurate and contains a certain deviation. A comparison can be made between the reasonable production rate of the target gas well and the production allocation based on its testing capacity. If the reasonable production rate is less than the production allocation based on its testing capacity, and the difference is greater than a preset difference, then the reasonable production rate is relatively accurate, and production allocation should be based on this reasonable production rate. The preset difference can be determined based on actual circumstances.

[0073] In this embodiment of the application, the method further includes:

[0074] Based on the relationship between the production rate corresponding to the stabilization time and the bottom hole pressure, the production rate of the target gas well when the bottom hole pressure is atmospheric pressure is determined and used as the stable unobstructed flow rate of the target gas well.

[0075] In this embodiment of the application, the method further includes:

[0076] Based on the relationship between the output and bottom hole pressure corresponding to different production times, the output of the target gas well when the bottom hole pressure is atmospheric pressure is determined, and this output is used as the unstable unobstructed flow rate of the target gas well corresponding to different production times.

[0077] For example, the production rate corresponding to a bottom-hole flowing pressure of atmospheric pressure is the unobstructed flow rate. The production rate of the target gas well when the bottom-hole flowing pressure is atmospheric pressure can be determined based on the relationship between the production rate at different production times and the bottom-hole flowing pressure, i.e., the unobstructed flow rate of the target gas well at different times. Specifically, for the unsteady flow binomial production capacity equation given in the above scheme, substituting the value of the bottom-hole flowing pressure at atmospheric pressure, the unobstructed flow rate can be obtained as follows:

[0078]

[0079] Substituting the time it takes for the target gas well to reach a pseudo-steady flow rate into the above formula yields the target gas well's stable unobstructed flow rate.

[0080] Figure 3 This is a flowchart illustrating a specific implementation process of an embodiment of this application. To accurately evaluate the production capacity of deep, highly heterogeneous carbonate gas wells and reasonably explain the differences between short-term testing capacity and stable production capacity, this invention provides a method for evaluating and rationally allocating production capacity of deep, highly heterogeneous carbonate gas wells, in order to guide reasonable production allocation and optimize reservoir development plans. The flowchart is as follows: Figure 3As shown.

[0081] Step S1: Using daily production data of the gas well, reservoir parameters, and well tubing parameters, a modern production decline analysis is performed on the GS18-H1 well. The analytical model method is used to fit the gas well production curve to obtain the dynamic parameters of the GS18-H1 well, as shown in Table 1.

[0082] Step S2: Substitute the dynamic and static parameters of well GS18-H1 into the unsteady flow binomial productivity equation to establish the unsteady flow binomial productivity equation for well GS18-H1. This allows for the calculation of the pseudo-steady production rate bottom hole flowing pressure curve (IPR curve) and unobstructed flow rate for well GS18-H1 at different production times. The unobstructed flow rate is shown in Table 2.

[0083] Table 2

[0084] Production time, h <![CDATA[Open flow rate, 10 4 m 3 / d]]> Remark 4 188.2 Test time 48 92.3 / 200 71.4 / 1962 52.4 Time to reach quasi-steady flow

[0085] Step S3: Calculate the time for well GS18-H1 to reach pseudo-steady flow as 1962 hours, and obtain the corresponding (pseudo)steady production capacity IPR curve, such as... Figure 4 The curve corresponding to 1926h corresponds to an unobstructed flow rate of 52.4 × 10⁻⁶. 4 m 3 / d. The other curves are the IPR curves corresponding to 200h, 48h, and 4h (testing stage) of production, respectively, where h represents hours.

[0086] Step S4: Intersect the IPR curve of the (proposed) stable production capacity of well GS18-H1 with the tubing outflow bottomhole flowing pressure curve (TPC curve). The production rate corresponding to the intersection point is the reasonable production rate of the target gas well, 16.8 × 10⁻⁶. 4 m 3 / d. From Figure 5 It can be seen that there is a significant difference between the production allocation of gas wells determined using (proposed) stable production capacity and the production allocation determined using short-term testing production capacity. From the perspective of ensuring long-term stable production of gas wells, the production allocation determined using the reasonable production of the target gas well with proposed stable production capacity is more in line with production needs, which has also been confirmed in the development practice of the Dengying Formation gas reservoir in the Sinian System of central Sichuan.

[0087] Figure 6 This is a schematic diagram of a production factor determination device provided in an embodiment of this application. This device can execute the production factor determination method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects for executing the method. Figure 6 As shown, the device includes:

[0088] The first relationship determination module 310 is used to establish an unsteady flow binomial production capacity equation based on the dynamic and static parameters of the target gas well, and to determine the relationship between the production capacity and the bottom hole flowing pressure corresponding to different production times.

[0089] The second relationship determination module 320 is used to determine the pseudo-stabilization time when the production of the target gas well reaches the pseudo-stabilization flow, and to determine the relationship between the production and the bottom hole pressure corresponding to the pseudo-stabilization time based on the relationship between the production and the bottom hole pressure corresponding to different times.

[0090] The target production factor determination module 330 is used to determine the reasonable production of the target gas well based on the relationship between the production rate and the bottom hole flowing pressure corresponding to the proposed stabilization time, and the relationship between the tubing outflow and the bottom hole flowing pressure, so as to allocate production based on the reasonable production of the target gas well.

[0091] In this embodiment of the application, the reasonable production rate of the target gas well is determined based on the relationship between the production rate and the bottom hole flowing pressure corresponding to the proposed stabilization time, and the relationship between the tubing outflow and the bottom hole flowing pressure, including:

[0092] The production rate and bottom hole flowing pressure curve corresponding to the quasi-stabilization time are determined.

[0093] The tubing outflow and bottom hole pressure curves are determined based on the relationship between tubing outflow and bottom hole pressure.

[0094] The reasonable production rate of the target gas well is determined based on the bottom-hole flowing pressure curve of the proposed stable production rate and the bottom-hole flowing pressure curve of the tubing outflow.

[0095] In this embodiment of the application, the target production factor determination module 330 determines the reasonable production of the target gas well based on the proposed stable production rate and bottom hole flowing pressure curve and the tubing outflow and bottom hole flowing pressure curve, including:

[0096] Determine the intersection points of the proposed stable production rate versus bottom hole flowing pressure curve and the tubing outflow versus bottom hole flowing pressure curve;

[0097] The production rate corresponding to the intersection point is taken as the reasonable production rate of the target gas well.

[0098] In this embodiment of the application, the device further includes:

[0099] The third relationship determination module is used to determine the relationship between the production rate and the bottom hole pressure corresponding to the gas testing time based on the relationship between the production rate and the bottom hole pressure corresponding to different production times.

[0100] The target gas well test production determination module is used to determine the target gas well test production capacity allocation based on the relationship between the production corresponding to the test time and the bottom hole flowing pressure, as well as the relationship between the tubing outflow and the bottom hole flowing pressure.

[0101] In this embodiment of the application, the device further includes:

[0102] The comparison module is used to allocate production based on the reasonable production of the target gas well when the reasonable production of the target gas well is less than the gas testing capacity of the target gas well, and the difference between the reasonable production of the target gas well and the gas testing capacity of the target gas well is greater than a preset difference.

[0103] In this embodiment of the application, the device further includes:

[0104] The stable unobstructed flow rate determination module is used to determine the production rate of the target gas well when the bottom pressure is atmospheric pressure, based on the relationship between the production rate corresponding to the proposed stabilization time and the bottom pressure, and use this as the stable unobstructed flow rate of the target gas well.

[0105] In this embodiment of the application, the method further includes:

[0106] The unobstructed flow rate determination module is used to determine the output of the target gas well when the bottom pressure is atmospheric pressure based on the relationship between the output corresponding to different production times and the bottom pressure, and use this as the unobstructed flow rate of the target gas well corresponding to different production times.

[0107] The production factor determination device provided in this application embodiment can execute a production factor determination method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects of executing the method.

[0108] Figure 7 A schematic diagram of the structure of an electronic device 10 that can be used to implement embodiments of this application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0109] like Figure 7As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, connected to the at least one processor 11 for data processing. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded into the RAM 13 from storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0110] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of monitors, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and data processing unit 19, such as network card, modem, wireless data processing transceiver, etc. Data processing unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0111] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the production factor determination method.

[0112] In some embodiments, the production factor determination method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or data processing unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the production factor determination method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the production factor determination method by any other suitable means (e.g., by means of firmware).

[0113] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable factor determination device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0115] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0116] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0117] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected through digital data processing (e.g., data processing networks) of any form or medium. Examples of data processing networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0118] A computing system can include clients and servers. Clients and servers are generally geographically separated and typically interact via data processing networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0119] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired information of the technical solution of this application can be achieved, and this is not limited herein.

[0120] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A production allocation factor determination method characterized by comprising: The method comprises: establishing an unstable flow binomial deliverability equation according to dynamic parameters and static parameters of the target gas well, and determining the relationship between the production and the bottom-hole flowing pressure corresponding to different production times; determining the pseudo-stable time when the production of the target gas well reaches pseudo-stable flow, and determining the relationship between the production and the bottom-hole flowing pressure corresponding to the pseudo-stable time according to the relationship between the production and the bottom-hole flowing pressure corresponding to different times; determining the reasonable production of the target gas well according to the relationship between the production and the bottom-hole flowing pressure corresponding to the pseudo-stable time and the relationship between the tubing outflow and the bottom-hole flowing pressure, and performing production allocation based on the reasonable production of the target gas well.

2. The method of claim 1, wherein, Determining the reasonable production of the target gas well according to the relationship between the production and the bottom-hole flowing pressure corresponding to the pseudo-stable time and the relationship between the tubing outflow and the bottom-hole flowing pressure comprises: determining a pseudo-stable production and bottom-hole flowing pressure curve according to the relationship between the production and the bottom-hole flowing pressure corresponding to the pseudo-stable time; determining a tubing outflow and bottom-hole flowing pressure curve according to the relationship between the tubing outflow and the bottom-hole flowing pressure; determining the reasonable production of the target gas well according to the pseudo-stable production and bottom-hole flowing pressure curve and the tubing outflow and bottom-hole flowing pressure curve.

3. The method of claim 2, wherein, Determining the reasonable production of the target gas well according to the pseudo-stable production and bottom-hole flowing pressure curve and the tubing outflow and bottom-hole flowing pressure curve comprises: determining the intersection point of the pseudo-stable production and bottom-hole flowing pressure curve and the tubing outflow and bottom-hole flowing pressure curve; taking the production corresponding to the intersection point as the reasonable production of the target gas well.

4. The method of claim 1, wherein, The method further comprises: determining the relationship between the production and the bottom-hole flowing pressure corresponding to the test gas time according to the relationship between the production and the bottom-hole flowing pressure corresponding to different production times; determining the test gas production allocation of the target gas well according to the relationship between the production and the bottom-hole flowing pressure corresponding to the test gas time and the relationship between the tubing outflow and the bottom-hole flowing pressure.

5. The method of claim 4, wherein, The method further comprises: in the case that the reasonable production of the target gas well is less than the test gas production of the target gas well and the difference between the reasonable production of the target gas well and the test gas production of the target gas well is greater than a preset difference, performing production allocation based on the reasonable production of the target gas well.

6. The method of claim 1, wherein, The method further comprises: determining the production of the target gas well when the bottom-hole flowing pressure is atmospheric pressure as the stable open-flow capacity of the target gas well according to the relationship between the production and the bottom-hole flowing pressure corresponding to the stable time.

7. The method of claim 1, wherein, The method further comprises: determining the production of the target gas well when the bottom-hole flowing pressure is atmospheric pressure as the open-flow capacity of the target gas well corresponding to different production times according to the relationship between the production and the bottom-hole flowing pressure corresponding to different production times.

8. A production allocation factor determining apparatus characterized by comprising: The device comprises: a first relationship determining module configured to establish an unstable flow binomial deliverability equation according to dynamic parameters and static parameters of the target gas well, and determine the relationship between the production and the bottom-hole flowing pressure corresponding to different production times; a second relationship determining module configured to determine the stable time when the production of the target gas well reaches pseudo-stable flow, and determine the relationship between the production and the bottom-hole flowing pressure corresponding to the stable time according to the relationship between the production and the bottom-hole flowing pressure corresponding to different times; The target production allocation factor determination module is configured to determine a reasonable production of the target gas well according to the relationship between the stable time corresponding production and the bottom hole flowing pressure and the relationship between the tubing outflow and the bottom hole flowing pressure, and to allocate production based on the reasonable production of the target gas well.

9. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory in data processing connection with the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the production allocation factor determination method in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to implement the production allocation factor determination method in any one of claims 1-7 when executed.

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