Reservoir exploration method and device based on fluid curve, electronic equipment and storage medium

Abstract

The invention discloses a reservoir exploration method and device based on a fluid curve, electronic equipment and a storage medium. The method is characterized by comprising the following steps: acquiring rock physical parameters and a porosity logging curve of a target reservoir; determining a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve; and performing oil and gas reservoir prediction on the target reservoir according to the target fluid curve, and determining the target reservoir as a target oil reservoir. The target fluid curve of the oil-gas-containing reservoir distribution rule can be effectively represented through rock physical analysis, oil gas of the target reservoir is predicted, and the exploration and development precision is improved.

Description

Technical Field

[0001] The invention relates to the field of oil and gas reservoir exploration, and in particular to a reservoir exploration method, device, electronic equipment and storage medium based on fluid curves. Background Art

[0002] With the exploration and development of oil and gas reservoirs, accurate prediction of oil and gas reservoirs can effectively improve the accuracy of oil and gas exploration and development. Mature exploration areas usually have relatively complete logging data, which can make full use of longitudinal wave logging and shear wave logging information for comprehensive prediction, thereby effectively reducing the risk of exploration and development; however, it is difficult to accurately identify oil and gas reservoirs in exploration areas with low exploration levels, especially in exploration blocks that do not have prestack seismic data and shear wave logging information. There are great risks in the existing fluid detection and lithology anomaly detection technologies, and it is difficult to identify the distribution law of oil and gas reservoirs, and the exploration accuracy is too low. Summary of the invention

[0003] The present invention provides a reservoir exploration method, device, electronic equipment and storage medium based on fluid curves, so as to achieve accurate prediction of oil and gas reservoirs in exploration blocks with low exploration degree and improve the accuracy of exploration and development.

[0004] According to one aspect of the present invention, a reservoir exploration method based on fluid curves is provided, comprising:

[0005] Obtain rock physical parameters and porosity logging curves of target reservoirs;

[0006] Determine a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve;

[0007] The target reservoir is predicted to be an oil and gas reservoir according to the target fluid curve, and the target reservoir is determined to be a target oil layer.

[0008] According to another aspect of the present invention, there is provided a reservoir exploration device based on a fluid curve, comprising:

[0009] Reservoir data input module, used to obtain rock physical parameters and porosity logging curves of target reservoirs;

[0010] A fluid curve calculation module, used to determine a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve;

[0011] The oil and gas reservoir prediction module is used to predict the oil and gas reservoir of the target reservoir according to the target fluid curve, and determine that the target reservoir is a target oil layer.

[0012] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0013] at least one processor; and

[0014] a memory communicatively connected to the at least one processor; wherein,

[0015] 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 so that the at least one processor can perform the reservoir exploration method based on fluid curves described in any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the reservoir exploration method based on fluid curves described in any embodiment of the present invention when executed.

[0017] The technical solution of the embodiment of the present invention obtains the rock physical parameters and porosity logging curves of the target reservoir, which can reflect the physical properties of the target reservoir, effectively understand the target reservoir, and improve the accuracy of exploration and development; determines the target fluid curve of the target reservoir according to the rock physical parameters and the porosity logging curve, and the target fluid curve can effectively display the oil and gas layer range of the target reservoir and provide information on the formation fluid, thereby reducing the risk of exploration and development; predicts the oil and gas reservoir of the target reservoir according to the target fluid curve, determines that the target reservoir is the target oil layer, and obtains the target oil layer in the oil and gas reservoir through the target fluid curve identification, thereby reducing the workload of exploration and development, solving the technical problem in the prior art that it is difficult to accurately identify the oil and gas reservoirs in the exploration area with a low degree of exploration, reducing the risk of exploration and development, and improving the accuracy of exploration and development.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 is a flow chart of a reservoir exploration method based on fluid curves provided in Example 1 of the present invention;

[0021] Figure 2A schematic diagram of a target fluid curve analysis reservoir provided by an embodiment of the present invention;

[0022] Figure 3 is a flow chart of another reservoir exploration method based on fluid curves provided in Embodiment 2 of the present invention;

[0023] Figure 4 It is a structural schematic diagram of a reservoir exploration device based on fluid curves provided in the third embodiment of the present invention;

[0024] Figure 5 It is a schematic diagram of the structure of an electronic device for implementing the reservoir exploration method based on fluid curves according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] Embodiment 1

[0027] Figure 1 The first embodiment of the present invention provides a flow chart of a reservoir exploration method based on fluid curves. This embodiment can be applied to predict oil and gas reservoirs in an exploration area. The method can be executed by a reservoir exploration device based on fluid curves. The reservoir exploration device based on fluid curves can be implemented in the form of hardware and / or software. The reservoir exploration device based on fluid curves can be configured in an electronic device. Figure 1 As shown, the method includes:

[0028] S110, obtaining rock physical parameters and porosity logging curves of the target reservoir.

[0029] The target reservoir may be a reservoir in an exploration area that is being explored. The target reservoir may be an oil and gas reservoir in an exploration area with a low degree of exploration, or an oil and gas reservoir in an exploration area with a high degree of exploration. The embodiment of the present invention does not limit this.

[0030] Among them, the rock physical parameters can be parameters that describe the physical properties of reservoir rocks; illustratively, the rock physical parameters generally include at least one of seismic wave velocity, acoustic wave velocity, elastic modulus and Poisson's ratio.

[0031] Among them, the porosity logging curve can be a logging curve for measuring the porosity of the oil and gas reservoir formation. The porosity logging curve is usually related to the formation oil and gas reserves and permeability, and can be used to evaluate the oil and gas quality and reserves of the oil and gas reservoir, and can reflect the potential of oil and gas production.

[0032] Specifically, the structure and properties of the surface and rocks are studied through geophysical exploration to obtain the rock physical parameters of the target reservoir, and the target reservoir is measured through drilling logging methods to obtain the porosity logging curve of the target reservoir.

[0033] S120. Determine a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve.

[0034] The target fluid curve may be a curve describing the fluid characteristics of the target reservoir, and may be used to analyze and predict the oil and gas distribution of the target reservoir.

[0035] Specifically, after obtaining the rock physical parameters and the porosity logging curve, the target fluid curve is calculated according to the rock physical parameters and the porosity logging curve to determine the target fluid curve of the target reservoir.

[0036] S130. Perform oil and gas reservoir prediction on the target reservoir according to the target fluid curve, and determine that the target reservoir is a target oil layer.

[0037] Optionally, the target fluid curve can reflect the sensitivity of the reservoir fluid. Under different porosities, the value of the target fluid curve is also different. Figure 2 A schematic diagram of a target fluid curve analysis reservoir provided by an embodiment of the present invention, in Figure 2 In the figure, the horizontal axis is porosity, the vertical axis is the target fluid curve, the thick solid line is the water layer distribution curve, and the thin solid line is the oil layer distribution curve. It can be seen that when the value of the target fluid curve is greater than 0.048 (dashed line), it corresponds to the water layer distribution range, and when the value of the fluid target curve is less than or equal to 0.048, it corresponds to the oil layer distribution range.

[0038] Specifically, through reservoir fluid sensitivity analysis of the target fluid curve, oil and gas reservoir analysis and prediction of the target reservoir, when the target fluid curve of the target reservoir conforms to the oil layer distribution range, the target reservoir is determined to be the target oil layer.

[0039] Optionally, in another optional embodiment of the present invention, predicting the target reservoir for oil and gas reservoirs according to the target fluid curve to determine that the target reservoir is a target oil layer includes:

[0040] If the target fluid curve is not greater than a preset water layer distribution value, the target reservoir is determined as a target oil layer.

[0041] The water layer distribution value may be a range value pre-set to determine that the target reservoir is a water layer.

[0042] Specifically, after the target fluid curve is calculated, the category of the target reservoir is judged according to the relationship between the curve value of the target fluid curve of the target reservoir and the preset water layer distribution value. If the target fluid curve is not greater than the preset water layer distribution value, the target reservoir is determined to be the target oil layer.

[0043] Optionally, in another optional embodiment of the present invention, before determining that the target reservoir is a target oil layer if the target fluid curve is not greater than a preset water layer distribution value, the method further includes:

[0044] If the target fluid curve is greater than a preset water layer distribution value, the target reservoir is determined to be a water layer.

[0045] Specifically, after the target fluid curve is calculated, the category of the target reservoir is judged according to the relationship between the curve value of the target fluid curve of the target reservoir and the preset water layer distribution value. If the target fluid curve is greater than the preset water layer distribution value, the target reservoir is determined to be a water layer.

[0046] The technical solution of the embodiment of the present invention obtains the rock physical parameters and porosity logging curves of the target reservoir, which can reflect the physical properties of the target reservoir, effectively understand the target reservoir, and improve the accuracy of exploration and development; determines the target fluid curve of the target reservoir according to the rock physical parameters and the porosity logging curve, and the target fluid curve can effectively display the oil and gas layer range of the target reservoir and provide information on the formation fluid, thereby reducing the risk of exploration and development; predicts the oil and gas reservoir of the target reservoir according to the target fluid curve, determines that the target reservoir is the target oil layer, and obtains the target oil layer in the oil and gas reservoir through the target fluid curve identification, thereby reducing the workload of exploration and development, solving the technical problem in the prior art that it is difficult to accurately identify the oil and gas reservoirs in the exploration area with a low degree of exploration, reducing the risk of exploration and development, and improving the accuracy of exploration and development.

[0047] Embodiment 2

[0048] Figure 3 1 is a flow chart of another reservoir exploration method based on fluid curves provided by the second embodiment of the present invention. The relationship between this embodiment and the above embodiment is the specific method for calculating the target fluid curve. Figure 3 As shown, the reservoir exploration method based on fluid curve includes:

[0049] S310, obtaining the rock physical parameters and porosity logging curve of the target reservoir.

[0050] S320. Determine a curve calculation method for a target fluid curve by performing a rock physics analysis on the target reservoir.

[0051] The curve calculation method may be a calculation method for calculating the target reservoir fluid curve. It should be noted that the curve calculation method may be a calculation formula for calculating the target fluid curve, that is, the calculation formula for calculating the target fluid curve is formed by the rock physical parameters and porosity of the target reservoir.

[0052] Among them, rock physics analysis can be used to study the relationship between the physical properties of rocks and underground oil and gas resources. It should be noted that the relationship between the rock physical parameters of underground reservoirs and reservoir fluids can be determined through rock physics analysis, and then the calculation method of the target fluid curve can be obtained through rock physics analysis.

[0053] Specifically, according to the rock physical properties of the target reservoir, a curve calculation method for calculating the target fluid curve is determined through rock physical analysis.

[0054] Optionally, in another optional embodiment of the present invention, the curve calculation method for determining the target fluid curve by petrophysical analysis of the target reservoir includes:

[0055] A first theoretical calculation method for a target fluid curve is determined based on a rock theoretical model framework of rock physics analysis; and the curve calculation method is determined based on a first seismic shear wave calculation method of rock physics analysis and the first theoretical calculation method.

[0056] Among them, the first theoretical calculation method can be a calculation formula for calculating the target fluid curve constructed by the rock theoretical model framework. It should be noted that the rock theoretical model framework can be used to describe and analyze the physical properties and behaviors of rocks. The rock of the target reservoir can be simulated and interpreted through the rock theoretical model framework, thereby determining the first theoretical calculation method of the target reservoir.

[0057] Optionally, the first theoretical calculation method may be related to the longitudinal wave velocity, shear wave velocity and porosity of the rock, and the target fluid curve is calculated by the longitudinal wave velocity, shear wave velocity and porosity of the rock. The formula for calculating the target fluid curve is as follows:

[0058]

[0059] Wherein, FL is the target fluid curve, dimensionless, φ is the porosity, dimensionless, Vp is the longitudinal wave velocity, unit is m / s, and Vs is the shear wave velocity, unit is m / s.

[0060] The first seismic shear wave calculation method may be a calculation formula for calculating seismic shear wave velocity. In rock physics analysis, the seismic longitudinal and shear wave velocities and porosity of rocks can be corrected with each other. The longitudinal and shear wave velocities and porosity of rocks are corrected by the ratio of the seismic longitudinal wave velocity to the seismic shear wave velocity of the rock skeleton material and the porosity. The first seismic shear wave calculation method may be as follows:

[0061]

[0062] Among them, α is the ratio of the seismic shear wave velocity of the rock skeleton material to the seismic longitudinal wave velocity.

[0063] Specifically, a physical analysis of the target reservoir is performed based on a rock theoretical model framework of rock physics analysis, and a first theoretical calculation method for calculating the target fluid curve is preliminarily determined. The first theoretical calculation method is then corrected through a first seismic shear wave calculation method of rock physics analysis to determine the curve calculation method.

[0064] Optionally, in another optional embodiment of the present invention, the curve calculation method is determined according to the first seismic shear wave calculation method of rock physics analysis and the first theoretical calculation method, including:

[0065] Obtain the seismic shear wave velocity and seismic longitudinal wave velocity of the rock skeleton material; determine a second seismic shear wave calculation method based on the seismic shear wave velocity and seismic longitudinal wave velocity; and modify the first theoretical calculation method based on the first seismic shear wave calculation method and the second seismic shear wave calculation method to obtain the curve calculation method.

[0066] Among them, the seismic shear wave velocity can be the propagation speed of the seismic shear wave in the rock skeleton material; the seismic longitudinal wave can be the propagation speed of the seismic longitudinal wave in the rock skeleton material; usually, for the rock skeleton material, the seismic shear wave velocity is usually slower than the seismic longitudinal wave velocity.

[0067] Among them, the second seismic shear wave calculation method can be to calculate the ratio of the seismic shear wave velocity to the seismic longitudinal wave velocity based on the seismic shear wave velocity and the seismic longitudinal wave velocity of the rock skeleton material. It should be noted that the second seismic shear wave calculation method can be to calculate the ratio of the seismic shear wave velocity of the rock skeleton material to the seismic longitudinal wave velocity through the seismic shear wave velocity and the seismic longitudinal wave velocity of the rock skeleton material, and the ratio of the seismic shear wave velocity of the rock skeleton material to the seismic longitudinal wave velocity is as follows:

[0068] α=Vsm / Vpm

[0069] Among them, Vsm can be the seismic shear wave velocity of the rock skeleton material, and Vpm can be the seismic shear wave velocity of the rock skeleton material.

[0070] Specifically, by determining the rock skeleton material of the target reservoir, obtaining the seismic shear wave velocity and seismic longitudinal wave velocity of the rock skeleton material, determining the second seismic shear wave calculation method according to the seismic shear wave velocity and seismic longitudinal wave velocity, and correcting the first theoretical calculation method by the first seismic shear wave calculation method and the second seismic shear wave calculation method of rock physics analysis to obtain a curve calculation method. The calculation formula of the target fluid curve is as follows:

[0071]

[0072] S330. Determine the target fluid curve of the target reservoir according to the rock physical parameters and the porosity logging curve by using the curve calculation method.

[0073] Specifically, according to the rock physical properties of the target reservoir, a curve calculation method for calculating the target fluid curve is determined through rock physical analysis, and the target fluid curve of the target reservoir is determined by combining the rock physical parameters of the target reservoir and the porosity logging curve according to the curve calculation method. The porosity logging curve is a neutron porosity logging curve; the neutron porosity logging curve can obtain the porosity of the formation by measuring the neutron flux in the formation with a neutron source.

[0074] S340: Perform oil and gas reservoir prediction on the target reservoir according to the target fluid curve, and determine that the target reservoir is a target oil layer.

[0075] The technical solution of the embodiment of the present invention obtains the rock physical parameters and porosity logging curves of the target reservoir, which can reflect the physical properties of the target reservoir, effectively understand the target reservoir, and improve the accuracy of exploration and development; determines the target fluid curve of the target reservoir according to the rock physical parameters and the porosity logging curve, and the target fluid curve can effectively display the oil and gas layer range of the target reservoir and provide information on the formation fluid, thereby reducing the risk of exploration and development; predicts the oil and gas reservoir of the target reservoir according to the target fluid curve, determines that the target reservoir is the target oil layer, and obtains the target oil layer in the oil and gas reservoir through the target fluid curve identification, thereby reducing the workload of exploration and development, solving the technical problem in the prior art that it is difficult to accurately identify the oil and gas reservoirs in the exploration area with a low degree of exploration, reducing the risk of exploration and development, and improving the accuracy of exploration and development.

[0076] Embodiment 3

[0077] Figure 4 Schematic diagram of the structure of a reservoir exploration device based on fluid curves provided by the fourth embodiment of the present invention. Figure 4 As shown, the device includes: a reservoir data input module 410, a fluid curve calculation module 420 and an oil and gas reservoir prediction module 430, wherein:

[0078] Reservoir data input module 410, used to obtain rock physical parameters and porosity logging curves of target reservoirs;

[0079] A fluid curve calculation module 420, for determining a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve;

[0080] The oil and gas reservoir prediction module 430 is used to perform oil and gas reservoir prediction on the target reservoir according to the target fluid curve, and determine that the target reservoir is a target oil layer.

[0081] The technical solution of the embodiment of the present invention obtains the rock physical parameters and porosity logging curves of the target reservoir, which can reflect the physical properties of the target reservoir, effectively understand the target reservoir, and improve the accuracy of exploration and development; determines the target fluid curve of the target reservoir according to the rock physical parameters and the porosity logging curve, and the target fluid curve can effectively display the oil and gas layer range of the target reservoir and provide information on the formation fluid, thereby reducing the risk of exploration and development; predicts the oil and gas reservoir of the target reservoir according to the target fluid curve, determines that the target reservoir is the target oil layer, and obtains the target oil layer in the oil and gas reservoir through the target fluid curve identification, thereby reducing the workload of exploration and development, solving the technical problem in the prior art that it is difficult to accurately identify the oil and gas reservoirs in the exploration area with a low degree of exploration, reducing the risk of exploration and development, and improving the accuracy of exploration and development.

[0082] Optionally, the fluid curve calculation module is specifically used for:

[0083] A curve calculation method for determining a target fluid curve by petrophysical analysis of a target reservoir; wherein the curve calculation method is:

[0084] FL is the target fluid curve; φ is the porosity; Vsm is the seismic shear wave velocity of the rock skeleton material, and Vpm is the seismic shear wave velocity of the rock skeleton material;

[0085] The target fluid curve of the target reservoir is determined according to the rock physical parameters and the porosity logging curve by the curve calculation method.

[0086] Optionally, the fluid curve calculation module is further used for:

[0087] A first theoretical calculation method for determining a target fluid curve based on a rock theoretical model framework of rock physics analysis; wherein the first theoretical calculation method is:

[0088] FL is the target fluid curve; φ is the porosity; Vp is the longitudinal wave velocity of the rock; Vs is the shear wave velocity of the rock;

[0089] The curve calculation method is determined according to the first seismic shear wave calculation method of rock physics analysis and the first theoretical calculation method; wherein the first seismic shear wave calculation method is:

[0090] Vs is the shear wave velocity of the rock; α is the ratio of the seismic shear wave velocity to the seismic longitudinal wave velocity of the rock skeleton material; φ is the porosity.

[0091] Optionally, the fluid curve calculation module is further used for:

[0092] Obtain seismic shear wave velocity and seismic longitudinal wave velocity of rock skeleton materials;

[0093] The second seismic shear wave calculation method is determined according to the seismic shear wave velocity and the seismic longitudinal wave velocity; wherein the second seismic shear wave calculation method is: α = Vsm / Vpm

[0094] Vsm is the seismic shear wave velocity of the rock skeleton material, and Vpm is the seismic shear wave velocity of the rock skeleton material;

[0095] The first theoretical calculation method is corrected according to the first seismic shear wave calculation method and the second seismic shear wave calculation method to obtain the curve calculation method.

[0096] Optionally, the system further includes an oil layer determination module, wherein:

[0097] The oil layer judgment module is used to determine the target reservoir as a target oil layer if the target fluid curve is not greater than a preset water layer distribution value.

[0098] Optionally, the system further includes a water layer determination module, wherein:

[0099] The water layer judgment module is used to determine the target reservoir as a water layer if the target fluid curve is greater than a preset water layer distribution value.

[0100] Optionally, the reservoir data input module is specifically used for: the porosity logging curve is a neutron porosity logging curve.

[0101] The fluid curve-based reservoir exploration device provided in the embodiment of the present invention can execute the fluid curve-based reservoir exploration method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0102] Embodiment 4

[0103] Figure 5A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention 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 processing, cellular phones, smart phones, 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 examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0104] like Figure 5 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. 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.

[0105] A number of 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 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.

[0106] The processor 11 may be a variety of general and / or special 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 dedicated 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 executes the various methods and processes described above, such as a reservoir exploration method based on a fluid curve.

[0107] In some embodiments, the reservoir exploration method based on fluid curves may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the reservoir exploration method based on fluid curves described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the reservoir exploration method based on fluid curves in any other appropriate manner (e.g., by means of firmware).

[0108] Various implementations 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 chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0109] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0110] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0111] To provide interaction with a user, the systems and techniques described herein may 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 trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0112] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may 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.

[0113] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may 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 difficult management and weak business scalability in traditional physical hosts and VPS services.

[0114] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0115] Embodiment 5

[0116] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps of the reservoir exploration method based on fluid curves provided in any embodiment of the present invention are implemented. The method includes:

[0117] Obtain rock physical parameters and porosity logging curves of target reservoirs;

[0118] Determine a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve;

[0119] The target reservoir is predicted to be an oil and gas reservoir according to the target fluid curve, and the target reservoir is determined to be a target oil layer.

[0120] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0121] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0122] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0123] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0124] It should be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0125] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0126] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A reservoir exploration method based on fluid curve, characterized in that: include: Obtain rock physical parameters and porosity logging curves of target reservoirs; Determine a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve; The target reservoir is predicted to be an oil and gas reservoir according to the target fluid curve, and the target reservoir is determined to be a target oil layer.

2. The method according to claim 1, characterized in that The step of determining a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve comprises: A curve calculation method for determining a target fluid curve by petrophysical analysis of a target reservoir; wherein the curve calculation method is: FL is the target fluid curve; φ is the porosity; Vsm is the seismic shear wave velocity of the rock skeleton material, and Vpm is the seismic shear wave velocity of the rock skeleton material; The target fluid curve of the target reservoir is determined according to the rock physical parameters and the porosity logging curve by the curve calculation method.

3. The method according to claim 2, characterized in that The curve calculation method for determining the target fluid curve through petrophysical analysis of the target reservoir includes: A first theoretical calculation method for determining a target fluid curve based on a rock theoretical model framework of rock physics analysis; wherein the first theoretical calculation method is: FL is the target fluid curve; φ is the porosity; Vp is the longitudinal wave velocity of the rock; Vs is the shear wave velocity of the rock; The curve calculation method is determined according to the first seismic shear wave calculation method of rock physics analysis and the first theoretical calculation method; wherein the first seismic shear wave calculation method is: Vs is the shear wave velocity of rock; α is the ratio of the seismic shear wave velocity to the seismic longitudinal wave velocity of the rock skeleton material; φ is the porosity.

4. The method according to claim 3, characterized in that The curve calculation method is determined according to the first seismic shear wave calculation method of rock physics analysis and the first theoretical calculation method, including: Obtain seismic shear wave velocity and seismic longitudinal wave velocity of rock skeleton materials; The second seismic shear wave calculation method is determined according to the seismic shear wave velocity and the seismic longitudinal wave velocity; wherein the second seismic shear wave calculation method is: α = Vsm / Vpm Vsm is the seismic shear wave velocity of the rock skeleton material, and Vpm is the seismic shear wave velocity of the rock skeleton material; The first theoretical calculation method is corrected according to the first seismic shear wave calculation method and the second seismic shear wave calculation method to obtain the curve calculation method.

5. The method according to claim 1, characterized in that The step of predicting the oil and gas reservoir of the target reservoir according to the target fluid curve and determining the target reservoir as a target oil layer includes: If the target fluid curve is not greater than a preset water layer distribution value, the target reservoir is determined as a target oil layer.

6. The method according to claim 5, characterized in that Before determining that the target reservoir is a target oil layer if the target fluid curve is not greater than a preset water layer distribution value, the method further includes: If the target fluid curve is greater than a preset water layer distribution value, the target reservoir is determined to be a water layer.

7. The method according to claim 1, characterized in that , the porosity logging curve is a neutron porosity logging curve.

8. A reservoir exploration device based on fluid curves, characterized in that: include: Reservoir data input module, used to obtain rock physical parameters and porosity logging curves of target reservoirs; A fluid curve calculation module, used to determine a target fluid curve of a target reservoir according to the rock physical parameters and the porosity logging curve; The oil and gas reservoir prediction module is used to predict the oil and gas reservoir of the target reservoir according to the target fluid curve, and determine that the target reservoir is a target oil layer.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to 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 so that the at least one processor can execute the reservoir exploration method based on fluid curves as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the reservoir exploration method based on fluid curves as described in any one of claims 1-7 when executed.

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