Carbonate reservoir body type discrimination method and device, storage medium and processor

Abstract

The embodiment of the invention provides a carbonate reservoir body type distinguishing method and device, a storage medium and a processor, and belongs to the technical field of carbonate reservoir development. The method is used for distinguishing the types of single-well-used reservoir bodies in a target work area and comprises the steps that a set of typical wells in the target work area are determined, and the set of typical wells comprise single wells of each reservoir body type to be recognized; production parameters of each single well in the group of typical wells are obtained, and dynamic discrimination indexes of the corresponding typical wells are determined according to the production parameters; determining a discrimination index according to the dynamic discrimination index corresponding to the single well of each reservoir body type; and according to the discrimination index, discriminating the reservoir body type of the single well in the target work area. By means of the method, other well drilling use reservoir body types can be recognized according to well drilling data with the clear reservoir body types in the work area.

Description

Technical Field

[0001] This invention relates to the field of carbonate reservoir development technology, specifically to a method, apparatus, storage medium, and processor for identifying carbonate reservoir types. Background Technology

[0002] Fractured-vuggy reservoirs are an important type of carbonate reservoir, widely distributed in my country and globally, with large reserves and multiple stratigraphic levels, making them a significant contributor to global oil production. However, due to the complex genesis and strong heterogeneity of the reservoirs, characterizing the reservoir structure of this type of reservoir is quite challenging. The single-well reservoir type identification method for fractured-vuggy reservoirs involved in this invention can accurately reveal the reservoir type actually utilized in a single well through a combination of dynamic and static methods, which has important guiding significance for the efficient development of this type of reservoir.

[0003] Existing static correlation methods and indicators in research are effective in identifying reservoir types directly encountered by a single well, but their effectiveness is inaccurate when a single well does not directly encounter reservoirs but instead connects to caverns, fractures, or other types of reservoirs through natural fractures, hydraulic fracturing, or cavities. This results in a low degree of matching between the identification results and dynamic production data. For example, seismic and logging data of a well may indicate the encounter of a fractured reservoir, but because the fracture connects to a cave, its production characteristics are mainly of the cavern type, leading to a contradiction between the static identification results and the dynamic interpretation results of the reservoir type. Therefore, a method is needed to identify the reservoir types used by other wells based on drilling data of known reservoir types within the work area. Summary of the Invention

[0004] The purpose of this invention is to provide a method that can identify other types of reservoirs to be activated by drilling based on drilling data of known reservoir types within a work area.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for identifying carbonate reservoir types, used to identify the type of reservoir to be activated in a single well within a target work area, including: Identify a set of typical wells within the target work area, wherein the set of typical wells includes individual wells for each reservoir type to be identified; Obtain the production parameters of each individual well in a set of typical wells, and determine the dynamic discrimination index of the corresponding typical well based on the production parameters; The discrimination index is determined based on the dynamic discrimination index corresponding to each well of each reservoir type; and The reservoir type of a single well within the target work area is determined based on the discrimination index.

[0006] Optionally, reservoir types include: fault-controlled caves, underground rivers, cavities, and / or fissures.

[0007] Optionally, each individual well in a typical set of wells may have one or more of the following characteristics: It has drilling, logging, seismic and production dynamic data, has determined the reservoir type encountered, the production time exceeds the preset time, the production curve meets the set characteristics, and the dynamic and static discrimination results of the reservoir type encountered are consistent.

[0008] Furthermore, static discrimination indicators for the type of reservoir encountered during drilling include: drilling indication indicators, seismic response indicators, geophysical attribute characteristic indicators, and development dynamic characteristic indicators.

[0009] Furthermore, drilling indicator indicators are the display features in drilling data that reflect venting and leakage; Earthquake response indices are the corresponding features on the original seismic profile, including beaded reflections, continuous strong reflections, chaotic reflections, and response features of phase axis discontinuity. Geophysical attribute characteristic indicators are response characteristics reflecting geophysical attributes in the raw seismic data, including beaded low values ​​of wave impedance, tubular low values ​​of wave impedance, continuous high values ​​of amplitude spectrum gradient, and ant-like and coherent high values; and The dynamic characteristic index is a feature that reflects the production stability of a single well, determined based on well logging data and core data.

[0010] Optionally, the production parameters are generation parameters that characterize the daily output of the corresponding single well.

[0011] Optional, dynamic discriminant index for a single well Calculate according to the following formula: , In the formula, This refers to the cumulative fluid production of a single well. This refers to the number of days a single well is in operation. , , These represent the highest daily production of a single well, the minimum and maximum daily production of all wells within the unit, respectively.

[0012] Furthermore, the discrimination index is obtained according to the following formula: ,

[0013] In the formula, To encounter the first The minimum value of R for a typical well of a reservoir type; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate; Diamond Encounter The minimum value of R for a typical well in a reservoir-type group; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate.

[0014] On the other hand, the present invention provides a carbonate reservoir type discrimination device, including a typical well determination module, a dynamic discrimination index determination module, a discrimination indicator determination module, and a reservoir type discrimination module, wherein, The typical well identification module identifies a set of typical wells within the target work area, wherein the set of typical wells includes individual wells for each reservoir type to be identified; The dynamic discrimination index determination module obtains the production parameters of each individual well in a set of typical wells, and determines the dynamic discrimination index of the corresponding typical well based on the production parameters; The discrimination index determination module determines the discrimination index based on the dynamic discrimination index corresponding to each well of each reservoir type; and The reservoir type identification module determines the reservoir type of a single well within the target work area based on the identification indicators.

[0015] Optionally, each individual well in a set of typical wells determined by the typical well determination module has one or more of the following characteristics: It has drilling, logging, seismic and production dynamic data, has determined the reservoir type encountered, the production time exceeds the preset time, the production curve meets the set characteristics, and the dynamic and static discrimination results of the reservoir type encountered are consistent.

[0016] Optionally, in the dynamic discrimination index determination module, the dynamic discrimination index of a single well is calculated according to the following formula: , In the formula, This refers to the cumulative fluid production of a single well. This refers to the number of days a single well is in operation. , , These represent the highest daily production of a single well, the minimum and maximum daily production of all wells within the unit, respectively.

[0017] Furthermore, in the discrimination index determination module, the discrimination index is obtained according to the following formula: , , In the formula, To encounter the first The minimum value of R for a typical well of a reservoir type; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate; Diamond Encounter The minimum value of R for a typical well in a reservoir-type group; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate.

[0018] On the other hand, the present invention provides a machine-readable storage medium storing instructions for causing a machine to execute: a method for determining the type of carbonate reservoir as claimed in any one of claims 1 to 8.

[0019] On the other hand, the present invention provides a processor for running a program, wherein the program is run to execute: a method for identifying carbonate reservoir types as claimed in any one of claims 1 to 8.

[0020] On the other hand, the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the carbonate reservoir type identification method according to any one of claims 1 to 8.

[0021] On the other hand, the carbonate reservoir type identification method of the present invention can be used for single-well dynamic analysis, production measure adjustment, well network construction, or remaining oil potential tapping of reservoirs of a specified type.

[0022] The above technical solution first identifies a set of typical single wells within the target work area that can reflect each reservoir type to be identified. Then, based on the production parameters of each single well, the dynamic discrimination index of that single well is determined. Next, based on the dynamic discrimination indices obtained from the set of typical single wells, the reservoir type discrimination index of the target work area is determined. Finally, the discrimination index is used to determine the activated reservoir type of other wells in the target work area.

[0023] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0024] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of an embodiment of the carbonate reservoir type identification method of the present invention; Figure 2 yes Figure 1 Schematic diagram of seismic response characteristics of various types of reservoirs encountered during typical well drilling in the embodiments; Figure 3 yes Figure 1 Example: Dynamic index R discrimination chart for typical well-reservoir types in Well X area; Figure 4 yes Figure 1 Example: Dynamic index R discrimination chart for typical well-reservoir types in Well Y area; and Figure 5This is a structural diagram of an embodiment of the carbonate reservoir type identification device of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0026] The acquisition, transmission, storage, use, and processing of data in this application comply with relevant national laws and regulations. It should be noted that certain software, components, models, and other existing industry solutions may be mentioned in the embodiments of this application. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.

[0027] This invention provides a method for identifying carbonate reservoir types. Based on the production indicators of a group of typical wells with clearly defined reservoir types in a target area, the method identifies the reservoir types used by other single wells in the target area, thereby providing a reliable basis for subsequent reservoir characterization and modeling. Figure 1 As shown, the steps of this embodiment include: Step S11: Identify a set of typical wells within the target work area, wherein the set of typical wells includes individual wells for each reservoir type to be identified; Step S12: Obtain the production parameters of each individual well in a set of typical wells, and determine the dynamic discrimination index of the corresponding typical well based on the production parameters; Step S13: Determine the discrimination index based on the dynamic discrimination index corresponding to the single well of each reservoir type; Step S14: Determine the reservoir type of a single well in the target work area based on the discrimination index.

[0028] It should be noted that in step S11, different oilfields have different reservoir conditions and different reservoir types. In this embodiment, a set of typical wells with clearly defined reservoir types include: fault-controlled caverns, underground rivers, pores, and fracture types. Technicians can select typical wells based on the exploration and production data of specific oilfields to cover all the reservoir types that have been identified. When new reservoir types are discovered during the production process, new typical wells and production parameters of the newly added typical wells are added in a timely manner.

[0029] In this embodiment, within the target work area, based on various data such as drilling and logging, well logging, seismic data, and production dynamics, wells with comprehensive data, confirmed reservoir types encountered, long production time, obvious production curve characteristics, and consistent dynamic and static data are selected as a group of typical wells.

[0030] Specifically, a typical well can be selected if it has drilling, logging, seismic and production dynamic data, the reservoir type encountered has been determined, the production time exceeds the preset time, the production curve meets the set characteristics, and the dynamic and static discrimination results of the reservoir type encountered are consistent.

[0031] Furthermore, in step S12, static discrimination indices for the type of reservoir encountered are determined for a selected set of typical wells. In this embodiment, the static discrimination indices are: drilling indication indices, seismic response indices, geophysical attribute characteristic indices, and development dynamic characteristic indices.

[0032] Specifically, static discrimination indicators for the corresponding reservoir type can be determined by combining the drilling venting and leakage indications of typical wells, the responses of beaded reflections, chaotic reflections, and phase axis misalignment on the original seismic profile, the response characteristics of geophysical properties (such as coherence, ant-body, wave impedance, etc.), and the indication characteristics on well logging and core samples.

[0033] Furthermore, in step S12, the production parameters are the generation parameters characterizing the daily production of the corresponding single well. The dynamic discrimination index of a single well. Calculate according to the following formula: , In the formula, This refers to the cumulative fluid production of a single well. This refers to the number of days a single well is in operation. , , These represent the highest daily production of a single well, the minimum and maximum daily production of all wells within the unit, respectively.

[0034] In the above formula, the R exponent is determined by two operators: the first operator... This operator represents the average daily fluid production of a single well. It can address the issue of some typical wells encountering high-quality reservoirs but, due to short production time or high water cut shut-in, resulting in low cumulative fluid production, being indistinguishable from wells encountering poorer reservoirs; the second operator... This represents the standardized value of the highest daily fluid production of a single well. This operator can further solve the problem that some typical wells have low production in the early stage due to drilling and production measures, and later, due to the use of high-quality reservoirs through production layer adjustments, the average daily fluid production is still low, making it impossible to distinguish them from single wells that have encountered poor reservoirs.

[0035] Furthermore, in step S13, the discrimination index of various types of reservoirs encountered in typical well drilling is analyzed. In addition to the distribution range of other dynamic and static indicators, a single-well reservoir type discrimination index was established under the guidance of dynamic and static analysis, qualitative and quantitative analysis, and multiple parameters.

[0036] Specifically, in determining the discriminant index for each typical well... Subsequently, bar charts of R-index for different reservoir types were plotted, and the reservoir types were sorted from highest to lowest according to the average R-index. Based on the sorted bar charts, the discrimination index of each type of reservoir encountered in typical wells was analyzed. And the distribution range of other dynamic and static indicators.

[0037] In this embodiment, the discriminant index The corresponding discrimination index is obtained according to the following formula: , , In the formula, To encounter the first The minimum value of R for a typical well of a reservoir type; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate; Diamond Encounter The minimum value of R for a typical well in a reservoir-type group; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate.

[0038] Furthermore, in step S14, the discrimination index obtained from the typical well is used to determine the type of activated reservoir for other single wells in the entire area.

[0039] It should be noted that this invention does not require strict adherence to the above steps S11-S14 in sequence. Instead, typical wells in step S11 can be supplemented and the corresponding discrimination index updated as needed. In addition to the discriminant index, the corresponding discriminant index can also be updated based on new production data generated by existing typical wells, even in the absence of new typical wells. And discrimination indicators.

[0040] Compared with the prior art, the technical advantages of the present invention are as follows: (1) The reservoir type identification criteria established by a group of typical wells comprehensively consider the geological reality and dynamic characteristics, and classify the single-well reservoir type at the level of actual reservoir utilization. (2) Using the collective discriminant index Based on this, and with other dynamic and static indicators as auxiliary, a chart and discrimination index for the quantitative classification of reservoir types within the well area are formed to guide the identification of reservoir types for all single wells within the work area; (3) The continuously updated discrimination indicators are conducive to further guiding the adjustment of single-well production measures, well network construction, and remaining oil potential tapping work of corresponding types of reservoirs.

[0041] To further illustrate the carbonate reservoir type identification method of the present invention, the following description is based on a specific well area.

[0042] The X well area is an Ordovician fractured and unconformity-controlled fracture-vuggy carbonate reservoir. The carbonate reservoir type identification method of the present invention consists of the following steps: (1) Select a group of typical wells and perform static identification of the reservoir type encountered by each typical well. Specifically, the X well area is mainly controlled by conjugate deep faults and unconformities. Dissolution along the fault surfaces has led to the development of fault-controlled karst caves, and dissolution pores have formed on the surface of the Ordovician unconformities. Based on various data, 20 typical wells (wells A through T) were selected within unit X for analysis of drilling indications, such as... Figure 2 Based on the seismic response characteristics shown, the reservoir type encountered in each typical well was statically identified.

[0043] (2) Calculate the discrimination index of typical well drilling encounter reservoir types

[0044] According to the discriminant index The calculation formula was used to statistically analyze the dynamic data required for each of the above typical wells, and the discriminant index was calculated for each of the 20 single wells. .

[0045] (3) Establish dynamic and static comprehensive discrimination indexes for single-well activated reservoir types Unlike the previous embodiment, in this embodiment, the results of static discrimination and the discrimination index are used. The distribution patterns determined the dynamic and static discrimination indices. Specifically, the process includes the following: ① Establish the discriminant index R. Based on the static discrimination results of 20 typical wells, discrimination indices were plotted. A bar chart was created, and reservoir types were arranged in the order of fault-controlled caverns, fractures, and pores. A dynamic index R discrimination chart for typical well reservoir types in well X area was established, and the results are as follows: Figure 3 As shown.

[0046] ② Establish dynamic and static comprehensive discrimination indexes for single-well activated reservoir types This paper summarizes the distribution range of the discrimination index R and other dynamic and static indicators of various types of reservoirs encountered in typical well drilling, and establishes a single-well reservoir type discrimination standard under the guidance of dynamic and static factors and multiple parameters.

[0047] Specifically, for dynamic discriminant indicators, according to the discriminant formula... , The fault-controlled karst cave reservoirs were identified respectively (corresponding to R in the discriminant). 1 ), fractured reservoir (corresponding to R in the discriminant) 2 ), void reservoir (corresponding to R in the discriminant) 3 Discriminant index The classification criteria are shown in Table 1 below.

[0048] Table 1

[0049] Furthermore, based on various data such as drilling and logging, well logging, seismic data, and production dynamics from the above 20 typical wells, static reservoir type discrimination indicators were established, as shown in Table 2 below.

[0050] Table 2

[0051] (4) Using the obtained dynamic and static comprehensive discrimination index, the type of single well activated reservoir in the whole area is determined.

[0052] Another well, Y, is an Ordovician fractured, underground river, and unconformity-controlled fracture-vuggy carbonate reservoir. The carbonate reservoir type identification method of this invention consists of the following steps: (1) Select a group of typical wells and perform static identification of the reservoir type encountered by each typical well. Specifically, the karst in the Y well area is characterized by complex controlling factors, including faults, water table, and unconformities, resulting in reservoirs with fault-controlled caves, underground river channels, dissolution cavities, and fractures. Based on various data, 23 typical wells (wells a-w) were selected. The reservoir types encountered in these typical wells were identified by analyzing drilling displays and seismic response characteristics.

[0053] (2) Calculate the discrimination index of typical well drilling encounter reservoir types

[0054] According to the discriminant index The calculation formula was used to statistically analyze the dynamic data required for each of the above typical wells, and the discriminant index was calculated for each of the 23 single wells. .

[0055] (3) Establish dynamic and static comprehensive discrimination indexes for single-well activated reservoir types In this embodiment, determining the dynamic and static discrimination indicators includes the following process: ① Establish the discriminant index R. Based on the static discrimination results of 23 typical wells, discrimination indices were plotted. A bar chart was created, and reservoir types were arranged in the order of fault-controlled karst caves, underground river conduits, pores, and fractures. A dynamic index R discrimination chart for typical well reservoir types in the Y well area was established, and the results are as follows: Figure 4 As shown.

[0056] ② Establish dynamic and static comprehensive discrimination indexes for single-well activated reservoir types This paper summarizes the distribution range of the discrimination index R and other dynamic and static indicators of various types of reservoirs encountered in typical well drilling, and establishes a single-well reservoir type discrimination standard under the guidance of dynamic and static factors and multiple parameters.

[0057] Specifically, for dynamic discriminant indicators, according to the discriminant formula... , The fault-controlled karst cave reservoirs were identified respectively (corresponding to R in the discriminant). 1 ), underground river pipeline storage (corresponding to R in the discriminant) 2 ), void reservoir (corresponding to R in the discriminant) 3 ), fractured reservoir (corresponding to R in the discriminant) 4 Discriminant index The classification criteria are shown in Table 3 below.

[0058] Table 3

[0059] Furthermore, based on various data such as drilling and logging, well logging, seismic data, and production dynamics from the above 23 typical wells, static reservoir type discrimination indicators were established, as shown in Table 4 below.

[0060] Table 4

[0061] (4) Using the obtained dynamic and static comprehensive discrimination index, the type of single well activated reservoir in the whole area is determined.

[0062] Comparing Tables 1-2 and 3-4, it can be seen that the static discrimination index for different storage group types within different work areas should be adjusted according to the actual production parameters of the specific work area, and a corresponding static discrimination index should be determined for each different storage group type within the work area.

[0063] Specifically, drilling indicator indicators can be the features in drilling data that reflect venting and leakage; seismic response indicators are the corresponding features on seismic profiles, including beaded reflections, continuous strong reflections, chaotic reflections, and phase axis discontinuity features; geophysical attribute indicator indicators are the response features in seismic data that reflect geophysical attributes, including beaded low values ​​of wave impedance, pipe-like low values ​​of wave impedance, continuous high values ​​of amplitude spectrum gradient, and ant-like and coherent high values; development dynamic characteristic indicators are the features that reflect the production stability of the corresponding single well, determined based on logging data and core data.

[0064] This invention also provides a carbonate reservoir type identification device for identifying the type of activated reservoir in a single well within a target work area. Its structure is as follows: Figure 5 As shown, it includes a typical well identification module, a dynamic discrimination index identification module, a discrimination indicator identification module, and a reservoir type identification module. The typical well identification module identifies a set of typical wells within the target work area, wherein the set of typical wells includes individual wells for each reservoir type to be identified; The dynamic discrimination index determination module obtains the production parameters of each individual well in a set of typical wells, and determines the dynamic discrimination index of the corresponding typical well based on the production parameters; The discrimination index determination module determines the discrimination index based on the dynamic discrimination index corresponding to each well of each reservoir type; and The reservoir type identification module determines the reservoir type of a single well within the target work area based on the identification indicators.

[0065] In some implementations, each individual well in a set of typical wells determined by the typical well determination module has one or more of the following characteristics: It has drilling, logging, seismic and production dynamic data, has determined the reservoir type encountered, the production time exceeds the preset time, the production curve meets the set characteristics, and the dynamic and static discrimination results of the reservoir type encountered are consistent.

[0066] In some implementations, in the dynamic discrimination index determination module, the dynamic discrimination index of a single well is calculated according to the following formula: , In the formula, This refers to the cumulative fluid production of a single well. This refers to the number of days a single well is in operation. , , These represent the highest daily production of a single well, the minimum and maximum daily production of all wells within the unit, respectively.

[0067] In some implementations, the discrimination index determination module obtains the discrimination index based on the dynamic discrimination index of a single well, according to the following formula: , , In the formula, To encounter the first The minimum value of R for a typical well of a reservoir type; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate; Diamond Encounter The minimum value of R for a typical well in a reservoir-type group; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate.

[0068] This invention also provides a carbonate reservoir type identification device, which includes a processor and a memory. The aforementioned typical well identification module, dynamic identification index identification module, identification index identification module, and reservoir type identification module are all stored as program units in the memory, and the processor executes the aforementioned program units stored in the memory to realize the corresponding functions.

[0069] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can determine the actual reservoir type used by a single well within the target work area.

[0070] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0071] This invention provides a storage medium storing a program that, when executed by a processor, implements the carbonate reservoir type identification method of this application.

[0072] This invention provides a processor for running a program, wherein the program executes the carbonate reservoir type discrimination method of this application.

[0073] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the carbonate reservoir type identification method of this application. The device described herein can be a server, PC, PAD, mobile phone, etc.

[0074] This application also provides a computer program product, which, when executed on a data processing device, is adapted to perform the steps of the carbonate reservoir type identification method of this application.

[0075] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0077] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0078] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0079] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0080] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0081] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0082] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0083] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for identifying carbonate reservoir types, used to identify the type of reservoir to be activated in a single well within a target work area, characterized in that, include: Identify a set of typical wells within the target work area, wherein the set of typical wells includes individual wells for each reservoir type to be identified; Obtain the production parameters of each individual well in the set of typical wells, and determine the dynamic discrimination index of the corresponding typical well based on the production parameters; The discrimination index is determined based on the dynamic discrimination index corresponding to each well of each reservoir type; and The reservoir type of a single well in the target work area is determined based on the discrimination index.

2. The method for identifying carbonate reservoir types according to claim 1, characterized in that, The reservoir types include: fault-controlled caverns, underground rivers, cavities, and / or fissures.

3. The method for identifying carbonate reservoir types according to claim 1, characterized in that, Each individual well in the group of typical wells has one or more of the following characteristics: It has drilling, logging, seismic and production dynamic data, has determined the reservoir type encountered, the production time exceeds the preset time, the production curve meets the set characteristics, and the dynamic and static discrimination results of the reservoir type encountered are consistent.

4. The method for identifying carbonate reservoir types according to claim 3, characterized in that, Static discrimination indicators for the type of reservoir encountered during drilling include: drilling indication indicators, seismic response indicators, geophysical attribute characteristic indicators, and development dynamic characteristic indicators.

5. The method for identifying carbonate reservoir types according to claim 4, characterized in that, The drilling display indicators are the display features in drilling data that reflect venting and leakage; The seismic response index refers to the corresponding features on the original seismic profile, including beaded reflections, continuous strong reflections, chaotic reflections, and response features of phase axis discontinuity. The geophysical attribute characteristic indicators are response characteristics reflecting geophysical attributes in the original seismic data, including beaded low values ​​of wave impedance, tubular low values ​​of wave impedance, continuous high values ​​of amplitude spectrum gradient, and ant-like and coherent high values; and The aforementioned development dynamic characteristic indicators are features that reflect the production stability of the corresponding single well, determined based on well logging data and core data.

6. The method for identifying carbonate reservoir types according to claim 1, characterized in that, The production parameters are the generation parameters that characterize the daily output of the corresponding single well.

7. The method for identifying carbonate reservoir types according to claim 1, characterized in that, Dynamic discriminant index of a single well Calculate according to the following formula: ， In the formula, This refers to the cumulative fluid production of the single well. The number of days the well was in operation. , , These are the highest daily production of a single well, the minimum daily production of all wells within the unit, and the maximum daily production, respectively.

8. The method for identifying carbonate reservoir types according to claim 7, characterized in that, The discrimination index is obtained according to the following formula: ， In the formula, To encounter the first The minimum value of R for a typical well of a reservoir type; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate; Diamond Encounter The minimum value of R for a typical well in a reservoir-type group; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate.

9. A device for identifying carbonate reservoir types, characterized in that, This includes modules for identifying typical wells, determining dynamic discrimination indices, determining discrimination indicators, and identifying reservoir types. The typical well determination module determines a set of typical wells within the target work area, wherein the set of typical wells includes a single well for each reservoir type to be identified; The dynamic discrimination index determination module obtains the production parameters of each individual well in the group of typical wells, and determines the dynamic discrimination index of the corresponding typical well based on the production parameters. The discrimination index determination module determines the discrimination index based on the dynamic discrimination index corresponding to each well of each reservoir type; and The reservoir type discrimination module determines the reservoir type of a single well in the target work area based on the discrimination index.

10. The carbonate reservoir type discrimination device according to claim 9, characterized in that, Each individual well in the set of typical wells determined by the typical well determination module has one or more of the following characteristics: It has drilling, logging, seismic and production dynamic data, has determined the reservoir type encountered, the production time exceeds the preset time, the production curve meets the set characteristics, and the dynamic and static discrimination results of the reservoir type encountered are consistent.

11. The carbonate reservoir type discrimination device according to claim 9, characterized in that, In the dynamic discrimination index determination module, the dynamic discrimination index of a single well is calculated according to the following formula: ， In the formula, This refers to the cumulative fluid production of the single well. The number of days the well was in operation. , , These are the highest daily production of a single well, the minimum daily production of all wells within the unit, and the maximum daily production, respectively.

12. The carbonate reservoir type discrimination device according to claim 11, characterized in that, In the discrimination index determination module, the discrimination index is obtained according to the following formula: ， ， In the formula, To encounter the first The minimum value of R for a typical well of a reservoir type; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate; Diamond Encounter The minimum value of R for a typical well in a reservoir-type group; Diamond Encounter The maximum value of R for a typical well in a reservoir-type aggregate.

13. A machine-readable storage medium storing instructions for causing a machine to perform: the carbonate reservoir type identification method as described in any one of claims 1 to 8.

14. A processor, characterized in that, Used to run a program, wherein the program is run to execute: the carbonate reservoir type discrimination method as described in any one of claims 1 to 8.

15. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the carbonate reservoir type identification method according to any one of claims 1 to 8.

16. The method for determining the type of carbonate reservoir as described in any one of claims 1 to 8 may be used for single-well dynamic analysis, production measure adjustment, well network construction, or remaining oil tapping in reservoirs of a specified type.

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