Low-permeability and ultra-low-permeability reservoir reservoir damage prediction method, device, equipment and medium

Abstract

The application discloses a low-permeability and ultra-low-permeability reservoir damage prediction method, device, equipment and medium. The method comprises the following steps: selecting a target reservoir core, determining the initial permeability of the core under simulated formation conditions; continuously performing a core permeability test on the target reservoir core and injecting an experimental liquid for soaking to obtain at least one group of core permeability data, wherein each group of core permeability data comprises a time value and the core permeability at the time value; drawing a core permeability change curve based on the core initial permeability and the core permeability data, wherein the core permeability change curve represents the change of the core permeability with time; and performing numerical simulation on the core permeability change curve to predict the long-term damage of the reservoir. The scheme of the application can predict the long-term damage of the reservoir and the production after fracturing through the long-term core permeability measurement test and the numerical simulation of the obtained long-term core permeability change.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of reservoir protection, and particularly relates to a low-permeability and ultra-low-permeability reservoir damage prediction method, device, equipment and medium. BACKGROUND

[0002] With the development of crude oil resources in China, the exploitation of low-permeability and ultra-low-permeability reservoirs with larger potential reserves has been increasingly concerned. Due to the low porosity and low permeability of low-permeability and ultra-low-permeability reservoirs, the exploitation is difficult. At present, the exploitation of low-permeability and ultra-low-permeability reservoirs mainly adopts the method of fracturing. After fracturing, the initial production increases rapidly, but with the increase of time, the production decreases significantly, and the long-term damage to the reservoir after fracturing is not concerned.

[0003] At present, the prediction of reservoir damage is to determine the influence of different injected liquids on the permeability of the core through core flow test, and further predict the damage and stimulation of the core. However, this method does not determine the change of permeability for a long time, and cannot truly reflect the damage of the reservoir.

[0004] In summary, a way is needed to reflect the real damage of low-permeability and ultra-low-permeability reservoirs. SUMMARY

[0005] The present application provides a low-permeability and ultra-low-permeability reservoir damage prediction method, device, equipment and medium, which can reflect the real damage of low-permeability and ultra-low-permeability reservoirs.

[0006] According to one aspect of the present application, a low-permeability and ultra-low-permeability reservoir damage prediction method is provided, comprising:

[0007] Selecting a target reservoir core, determining the initial permeability of the core under simulated formation conditions;

[0008] Continuously performing a core permeability test on the target reservoir core and injecting an experimental liquid for soaking to obtain at least one group of core permeability data, wherein each group of core permeability data comprises a time value and the core permeability at the time value;

[0009] Based on the initial permeability of the core and the core permeability data, a core permeability change curve is drawn, and the core permeability change curve represents the change of the core permeability with time;

[0010] Numerical simulation is performed on the core permeability change curve to predict the long-term damage of the reservoir.

[0011] Optionally, the core permeability test comprises a core flow test, a static imbibition test and / or a core soaking test.

[0012] Optionally, the injection experiment liquid includes: gel breaking liquid, slick water and fracturing fluid; correspondingly, the core permeability test on the target reservoir core is continuously performed and the experimental liquid is injected for soaking to obtain at least one group of core permeability data, including:

[0013] The test pressure and temperature are maintained, and the core permeability, porosity and throat change are measured on the core at 1st day, 3rd day, 7th day, 14th day, 20th day, 60th day, 90th day and 180th day respectively to obtain the core permeability data corresponding to the days.

[0014] Optionally, the core permeability change curve is plotted based on the core initial permeability and the core permeability data, including:

[0015] The core initial permeability is taken as the core permeability data corresponding to the initial time;

[0016] The initial core permeability change curve is plotted based on the core permeability data corresponding to the initial time and the core permeability data corresponding to the days;

[0017] The initial core permeability change curve is fitted and corrected according to the porosity and / or throat change to obtain the core permeability change curve, wherein the porosity and / or throat change is determined by nuclear magnetic resonance or CT scanning.

[0018] Optionally, the initial core permeability change curve is fitted and corrected according to the porosity and / or throat change to obtain the core permeability change curve, including:

[0019] The initial core permeability change curve is fitted and corrected according to the first formula, and the first formula includes:

[0020]

[0021] Wherein, K is the core permeability, φ is the porosity; T 2g is the geometric mean of T2 spectrum; C is a to-be-determined coefficient.

[0022] Optionally, the initial core permeability change curve is fitted and corrected according to the porosity and / or throat change to obtain the core permeability change curve, including:

[0023] The initial core permeability change curve is fitted and corrected according to the second formula, and the second formula includes:

[0024]

[0025] Wherein, K is the permeability; φ is the porosity; Rpt is the pore throat ratio; r p is the pore throat radius, um; τ is the ratio of the actual length of the pore to the apparent length of the core.

[0026] Optionally, the numerical simulation of the core permeability change curve to predict the long-term damage of the reservoir includes:

[0027] The core permeability change curve is imported into a preset numerical simulation software.

[0028] The core permeability change curve is fitted and corrected with the historical production yield result in the numerical simulation software, and the long-term damage of the reservoir after fracturing and the yield are predicted.

[0029] According to another aspect of the present application, a device for predicting the damage of a low-permeability or ultra-low-permeability reservoir is provided, which includes:

[0030] An initial permeability determination unit is configured to select a target reservoir core and determine the initial permeability of the core under simulated formation conditions.

[0031] A core permeability data determination unit is configured to continuously perform a core permeability test on the target reservoir core and inject a test liquid for soaking to obtain at least one set of core permeability data, wherein each set of the core permeability data includes a time value and a core permeability at the time value.

[0032] A change curve drawing unit is configured to draw a core permeability change curve based on the initial permeability of the core and the core permeability data, wherein the core permeability change curve represents the change of the core permeability with time.

[0033] A numerical simulation unit is configured to perform numerical simulation on the core permeability change curve to predict the long-term damage of the reservoir.

[0034] According to another aspect of the present application, an electronic device is provided, which includes:

[0035] at least one processor; and a memory connected to the at least one processor in communication, 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 perform the method for predicting the damage of a low-permeability or ultra-low-permeability reservoir according to any one of the embodiments of the present application.

[0036] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for enabling a processor to perform the method for predicting the damage of a low-permeability or ultra-low-permeability reservoir according to any one of the embodiments of the present application.

[0037] The technical scheme of the embodiment of the present application selects a target reservoir core, determines the initial permeability of the core under simulated formation conditions, continuously performs a core permeability test on the target reservoir core, and soaks the core in an experimental liquid to obtain at least one group of core permeability data, wherein each group of core permeability data comprises a time value and a core permeability at the time value; a core permeability change curve is plotted based on the initial core permeability and the core permeability data, and the core permeability change curve represents the change of the core permeability with time; and numerical simulation is performed on the core permeability change curve to predict long-term damage to the reservoir. The scheme of the present application can predict long-term damage to the reservoir and production after fracturing and guide reservoir protection technology for low-permeability and ultra-low-permeability reservoirs by means of long-term core permeability measurement and numerical simulation of the obtained long-term core permeability change.

[0038] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0040] Figure 1 is a flowchart of a low-permeability and ultra-low-permeability reservoir damage prediction method provided by the first embodiment of the present application;

[0041] Figure 2 is a schematic diagram of a core permeability change curve applicable to the first embodiment of the present application;

[0042] Figure 3 is a structural schematic diagram of a low-permeability and ultra-low-permeability reservoir damage prediction device provided by the second embodiment of the present application;

[0043] Figure 4 is a structural schematic diagram of an electronic device for implementing the low-permeability and ultra-low-permeability reservoir damage prediction method of the embodiment of the present application. DETAILED DESCRIPTION

[0044] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application, so that those skilled in the art can better understand the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work should fall within the protection scope of the present application.

[0045] It should be noted that the terms "first", "second" and the like in the description and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units need not be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0046] With the continuous development of China's crude oil resources, the exploitation of low-permeability and ultra-low-permeability reservoirs with larger potential reserves has attracted increasing attention. Due to the low porosity and low permeability of low-permeability and ultra-low-permeability reservoirs, the exploitation is difficult. At present, the exploitation of low-permeability and ultra-low-permeability reservoirs mainly adopts the method of fracturing. After fracturing, the initial production increases rapidly, and with the increase of time, the production decreases significantly. However, little attention is paid to the long-term damage to the reservoir after fracturing. Therefore, by measuring the change of core permeability of low-permeability and ultra-low-permeability reservoirs with time, numerical simulation method can be used to predict the long-term damage to the reservoir and the production after fracturing. Due to the low porosity and low permeability of low-permeability and ultra-low-permeability reservoirs, the long-term measurement method of core permeability becomes the key. Therefore, studying the long-term measurement method of core permeability and using numerical simulation method are the most important for predicting the long-term damage to the reservoir and the production after fracturing.

[0047] Due to the low porosity and low permeability of low-permeability and ultra-low-permeability reservoirs, the exploitation is difficult. At present, the exploitation of low-permeability and ultra-low-permeability reservoirs mainly adopts the method of fracturing. After fracturing, the initial production increases rapidly, and with the increase of time, the production decreases significantly. However, little attention is paid to the long-term damage to the reservoir after fracturing. Therefore, by measuring the change of core permeability of low-permeability and ultra-low-permeability reservoirs with time, numerical simulation method can be used to predict the long-term damage to the reservoir and the production after fracturing.

[0048] Embodiment one

[0049] Figure 1It is a flow chart of a low-permeability and ultra-low-permeability reservoir damage prediction method provided by the first embodiment of the present application. The embodiment can be applicable to the case of predicting long-term damage to the reservoir after fracturing of the low-permeability and ultra-low-permeability reservoir. The method can be executed by a low-permeability and ultra-low-permeability reservoir damage prediction device, which can be realized in the form of hardware and / or software and can be configured in an electronic device. Figure 1 As shown in FIG. 1, the method comprises the following steps.

[0050] S110, selecting a target reservoir core and determining the initial permeability of the core under simulated formation conditions.

[0051] In the embodiment of the present application, the core selection is consistent with the formation, and the simulated formation conditions are the same as the actual conditions of the formation.

[0052] S120, continuously performing a core permeability test on the target reservoir core and injecting an experimental liquid for soaking to obtain at least one set of core permeability data, wherein each set of core permeability data comprises a time value and the core permeability at the time value.

[0053] In the embodiment of the present application, the core permeability test comprises a core flow test, a static imbibition test and / or a core soaking test.

[0054] In the embodiment of the present application, the experimental liquid injected comprises a gel breaking liquid, slick water and fracturing fluid.

[0055] Correspondingly, the step of continuously performing a core permeability test on the target reservoir core and injecting an experimental liquid for soaking to obtain at least one set of core permeability data comprises the following steps.

[0056] The test pressure and temperature are maintained, and the core permeability, porosity and throat changes are measured on the core at the 1st day, the 3rd day, the 7th day, the 14th day, the 20th day, the 60th day, the 90th day and the 180th day respectively to obtain core permeability data corresponding to the days.

[0057] In the embodiment of the present application, the long-term core permeability measurement test comprises a core flow test, a static imbibition test and a core soaking test. The injected liquid comprises a gel breaking liquid, slick water and fracturing fluid.

[0058] S130, drawing a core permeability change curve based on the initial core permeability and the core permeability data, wherein the core permeability change curve represents the change of the core permeability with time.

[0059] In the embodiment of the present application, the step of drawing a core permeability change curve based on the initial core permeability and the core permeability data comprises the following steps.

[0060] The initial permeability of the core is taken as the core permeability data corresponding to the initial time;

[0061] An initial drawing core permeability change curve is drawn based on the core permeability data corresponding to the initial time and the core permeability data corresponding to the days;

[0062] The initial drawing core permeability change curve is fitted and corrected according to the porosity and / or throat change, so as to obtain the core permeability change curve, wherein the porosity and / or throat change is determined by nuclear magnetic resonance or CT scanning.

[0063] The nuclear magnetic resonance and CT scanning technology are considered as a relatively accurate means for describing pore characteristics and determining fluid distribution, and have been maturely applied to the oil and gas industry. The nuclear magnetic resonance scanning core T2 spectrum can be used to analyze the pore diameter change before and after reservoir fracturing, and to determine the reservoir damage degree.

[0064] In the embodiment of the present application, the fitting correction of the initial drawing core permeability change curve according to the porosity and / or throat change to obtain the core permeability change curve comprises:

[0065] The initial drawing core permeability change curve is fitted and corrected according to the first formula, and the first formula comprises:

[0066]

[0067] Wherein, K is the core permeability, φ is the porosity, T 2g is the geometric mean of the nuclear magnetic resonance T2 spectrum, and C is a to-be-determined coefficient.

[0068] In the embodiment of the present application, the fitting correction of the initial drawing core permeability change curve according to the porosity and / or throat change to obtain the core permeability change curve comprises:

[0069] The initial drawing core permeability change curve is fitted and corrected according to the second formula, and the second formula comprises:

[0070]

[0071] Wherein, K is the permeability, φ is the porosity, R pt is the pore-throat ratio, r p is the pore body radius, um, and τ is the ratio of the actual length of the pore to the apparent length of the core.

[0072] In a specific experiment, a target formation core is selected, formation conditions are simulated, and the initial permeability of the core is measured, which is recorded as the core permeability at 0 days. The core is subjected to a core flow experiment, and in accordance with the field process, slick water 3 PV, fracturing fluid 3 PV, and gel breaking fluid 4 PV are injected in sequence. The test pressure and temperature are maintained, and the core permeability, porosity, and throat changes are measured using nuclear magnetic resonance, CT scanning, and the like at 1d, 3d, 7d, 14d, 20d, 60d, 90d, and 180d. The measured core permeability is recorded, and the core porosity and throat changes are combined to correct and fit the core permeability change curve with time using the first formula and the second formula, and a core permeability change curve is as shown in Figure 2

[0073] S140, numerical simulation is performed on the core permeability change curve to predict long-term damage to the reservoir.

[0074] In the embodiment of the present application, the numerical simulation of the core permeability change curve to predict long-term damage to the reservoir includes:

[0075] The core permeability change curve is imported into a preset numerical simulation software;

[0076] The core permeability change curve is fitted and corrected with historical production yield results in the numerical simulation software to predict long-term damage to the reservoir after fracturing and yield.

[0077] Wherein, according to the curve of the core permeability change with time, a numerical simulation software such as CMG is used to import the change of the core permeability at 180d to predict long-term damage to the reservoir after fracturing and yield. The curve of the core permeability change with time is imported to fit and correct with past historical production yield results to predict long-term damage to the reservoir after fracturing and yield.

[0078] The core permeability long-term measurement test and the method of predicting long-term damage to the reservoir and yield after fracturing by means of numerical simulation of the obtained long-term core permeability change can be used for the application of low-permeability and ultra-low-permeability reservoir protection technology, and can predict long-term damage to the reservoir and yield after fracturing to guide low-permeability and ultra-low-permeability reservoir protection technology.

[0079] Example Two

[0080] Figure 3 is a structural schematic diagram of a low-permeability and ultra-low-permeability reservoir damage prediction device provided by the second embodiment of the present application. As shown in Figure 3 The device includes:

[0081] ​The initial permeability determination unit 310 is configured to select a target reservoir core, and determine an initial permeability of the core under simulated formation conditions.

[0082] The core permeability data determination unit 320 is configured to continuously perform a core permeability test on the target reservoir core, and soak the core in experimental liquid to obtain at least one set of core permeability data, wherein each set of core permeability data comprises a time value and a core permeability at the time value.

[0083] The change curve drawing unit 330 is configured to draw a core permeability change curve based on the initial permeability of the core and the core permeability data, wherein the core permeability change curve represents a change of the core permeability over time.

[0084] The numerical simulation unit 340 is configured to perform numerical simulation on the core permeability change curve to predict long-term damage of the reservoir.

[0085] Optionally, the core permeability test comprises a core flow test, a static imbibition test, and / or a core soaking test.

[0086] Optionally, the experimental liquid comprises a gel breaking liquid, slick water, and a fracturing fluid.

[0087] Correspondingly, when the core permeability data determination unit 320 performs the core permeability test on the target reservoir core and soaks the core in experimental liquid to obtain at least one set of core permeability data, the core permeability data determination unit 320 specifically performs the following operations:

[0088] The test pressure and temperature are maintained, and the core permeability, porosity, and throat change are measured on the core at the 1st day, the 3rd day, the 7th day, the 14th day, the 20th day, the 60th day, the 90th day, and the 180th day, respectively, to obtain core permeability data corresponding to the days.

[0089] Optionally, the change curve drawing unit 330 is configured to perform the following operations:

[0090] The initial permeability of the core is taken as core permeability data corresponding to an initial time;

[0091] Based on the core permeability data corresponding to the initial time and the core permeability data corresponding to the days, an initial core permeability change curve is drawn;

[0092] The initial core permeability change curve is fitted and corrected according to the porosity and / or throat change to obtain the core permeability change curve, wherein the porosity and / or throat change is determined by nuclear magnetic resonance or CT scanning.

[0093] Optionally, the change curve drawing unit 330, in the execution of the fitting correction of the initial drawn core permeability change curve according to the porosity and / or throat change condition, obtains the core permeability change curve, specifically executes:

[0094] The initial drawn core permeability change curve is fitting corrected according to the first formula, and the first formula comprises:

[0095]

[0096] Wherein, K is the core permeability, and φ is the porosity; T 2g is the geometric mean of the nuclear magnetic resonance T2 spectrum; C is a to-be-determined coefficient.

[0097] Optionally, the change curve drawing unit 330, in the execution of the fitting correction of the initial drawn core permeability change curve according to the porosity and / or throat change condition, obtains the core permeability change curve, specifically executes:

[0098] The initial drawn core permeability change curve is fitting corrected according to the second formula, and the second formula comprises:

[0099]

[0100] Wherein, K is the permeability; φ is the porosity; R pt is the pore-throat ratio; r p is the pore body radius, um; τ is the ratio of the actual length of the pore to the apparent length of the core.

[0101] Optionally, the numerical simulation unit 340 is used for executing:

[0102] The core permeability change curve is imported into a preset numerical simulation software;

[0103] The core permeability change curve is fitting corrected with the historical production yield result in the numerical simulation software, and the long-term damage condition of the fractured reservoir and the yield are predicted.

[0104] The low-permeability and ultra-low-permeability reservoir damage prediction device provided in the embodiment can execute the low-permeability and ultra-low-permeability reservoir damage prediction method provided in any embodiment of the present application, has the function modules and beneficial effects corresponding to the execution method.

[0105] Embodiment three

[0106] Figure 4A structural diagram of an electronic device 10 that can be used to implement embodiments of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices such as personal digital assistants, cellular telephones, smartphones, wearable devices (e.g., headsets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application described and / or claimed in this document.

[0107] As shown in Figure 4 The electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., communicatively connected to the at least one processor 11, where the memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer programs stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0108] Various components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc., an output unit 17, such as various types of displays, speakers, etc., a storage unit 18, such as a magnetic disk, an optical disk, etc., and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0109] The processor 11 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the 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 appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as the low-permeability and ultra-low-permeability reservoir damage prediction method.

[0110] In some embodiments, the low permeability and ultra-low permeability reservoir damage prediction method can be implemented as a computer program tangibly embodied in a computer readable storage medium, e.g., storage unit 18. In some embodiments, parts or all of the computer program can be loaded and / or installed onto electronic device 10 via, e.g., ROM 12 and / or communication unit 19. When the computer program is loaded onto RAM 13 and executed by processor 11, one or more steps of the low permeability and ultra-low permeability reservoir damage prediction method described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the low permeability and ultra-low permeability reservoir damage prediction method by way of other means (e.g., by way of firmware).

[0111] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, specially designed application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0112] Computer programs used to implement the methods of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program running on the processor implements the functions / operations specified in the flowcharts and / or the block diagrams.

[0113] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0114] To provide for interaction with a user, the systems and techniques described here 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 a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; 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 acoustic, speech, or tactile input.

[0115] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0116] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0117] It should be understood that the various forms of flow shown above can be reordered, added to, or have steps deleted. For example, the steps described in the present application can be performed in parallel, in series, or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, which are not limited herein.

[0118] The above detailed description does not constitute a limitation on the protection scope of the present 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 replacements and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for predicting reservoir damage in low permeability and ultra-low permeability oil reservoirs characterized by, The method comprises the following steps: selecting a target reservoir core, and determining the initial permeability of the core under simulated formation conditions; continuously performing a core permeability test on the target reservoir core and injecting experimental liquid for soaking to obtain at least one set of core permeability data, wherein each set of core permeability data comprises a time value and the core permeability at the time value; based on the initial permeability of the core and the core permeability data, drawing a core permeability change curve, which represents the change of the core permeability with time; numerically simulating the core permeability change curve to predict the long-term damage of the reservoir; the numerical simulation of the core permeability change curve to predict the long-term damage of the reservoir comprises: importing the core permeability change curve into a preset numerical simulation software; in the numerical simulation software, the core permeability change curve is fitted and corrected with historical production results to predict the long-term damage of the reservoir after fracturing and the production.

2. The method of claim 1, wherein, The core permeability test comprises a core flow test, a static imbibition test and / or a core soaking test.

3. The method of claim 1, wherein, The experimental liquid injected comprises a gel breaking liquid, slick water and fracturing fluid. Correspondingly, the continuously performing a core permeability test on the target reservoir core and injecting experimental liquid for soaking to obtain at least one set of core permeability data comprises: maintaining the test pressure and temperature, and measuring the core permeability, porosity and throat change at 1 day, 3 days, 7 days, 14 days, 20 days, 60 days, 90 days and 180 days respectively to obtain the core permeability data corresponding to the number of days.

4. The method of claim 3, wherein, The drawing of the core permeability change curve based on the initial permeability of the core and the core permeability data comprises: taking the initial permeability of the core as the core permeability data corresponding to the initial time; based on the core permeability data corresponding to the initial time and the core permeability data corresponding to the number of days, drawing an initial core permeability change curve; according to the porosity and / or throat change, fitting and correcting the initial core permeability change curve to obtain the core permeability change curve, wherein the porosity and / or throat change is determined by nuclear magnetic resonance or CT scanning.

5. The method of claim 4, wherein, The fitting and correction of the initial core permeability change curve according to the porosity and / or throat change to obtain the core permeability change curve comprises: fitting and correcting the initial core permeability change curve according to a first formula, wherein the first formula comprises: ； where K is the core permeability, is the porosity; T 2g is the geometric mean of the NMR T2 spectrum; C is a coefficient to be determined.

6. The method of claim 4, wherein, The fitting and correction of the initial core permeability change curve according to the porosity and / or throat change to obtain the core permeability change curve comprises: fitting and correcting the initial core permeability change curve according to a second formula, wherein the second formula comprises: ； where K is permeability; is porosity; R pt is pore throat ratio; r p is pore body radius, um; τ is the ratio of the actual length of the pore to the apparent length of the core.

7. A low permeability, ultra-low permeability reservoir damage prediction device, characterized by, The method comprises the following steps: an initial permeability determination unit is configured to select a target reservoir core and determine the initial permeability of the core under simulated formation conditions; a core permeability data determination unit configured to continuously perform a core permeability test on the target reservoir core and inject a test liquid to soak the target reservoir core, to obtain at least one set of core permeability data, wherein each set of the core permeability data comprises a time value and a core permeability value corresponding to the time value; a change curve drawing unit configured to draw a core permeability change curve based on the core initial permeability and the core permeability data, the core permeability change curve representing a change of the core permeability over time; a numerical simulation unit configured to perform numerical simulation on the core permeability change curve to predict a long-term damage condition of the reservoir; the numerical simulation unit is configured to perform: importing the core permeability change curve into a preset numerical simulation software; fitting and correcting the core permeability change curve and a historical production yield result in the numerical simulation software, to predict a long-term damage condition of the reservoir after fracturing and a yield.

8. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected to the at least one processor in communication; 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 perform the low-permeability and ultra-low-permeability reservoir damage prediction method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to perform the low-permeability and ultra-low-permeability reservoir damage prediction method according to any one of claims 1-6 when executed.

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