A reservoir sensitivity parameter determination method, device, equipment and storage medium

Abstract

The application discloses a reservoir sensitive parameter determination method, device and equipment and a storage medium. The method comprises the following steps: obtaining a plurality of core samples of a target layer in an exploration area, wherein each core sample corresponds to different porosities; performing rock physical parameter experimental tests on each core sample under different saturations based on a seismic source with the same frequency as a seismic wave, and obtaining the corresponding longitudinal wave velocity and transverse wave velocity of each test; determining the parameter value of each rock physical elastic parameter corresponding to each test based on the corresponding longitudinal wave velocity and transverse wave velocity of each test and core density information; and determining the reservoir sensitive parameter corresponding to the target layer from each rock physical elastic parameter based on the parameter value of each rock physical elastic parameter corresponding to each test. The technical scheme of the embodiment of the application can determine a more matched reservoir sensitive parameter, ensure the accuracy of the determination of the reservoir sensitive parameter, and effectively improve the seismic reservoir prediction precision.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of geophysical technology in the petroleum industry, and in particular to a reservoir sensitive parameter determination method, device, equipment and storage medium. BACKGROUND

[0002] Seismic exploration is the main method of oil exploration and development in China, which is to use the response difference of seismic wave passing through the stratum to predict reservoir and fluid. The sensitivity of seismic attributes, seismic inversion and other rock physical elastic parameters to different geological targets is different, and the seismic parameters sensitive to the reservoir are the most concerned targets of geophysical engineers, so the selection of sensitive seismic parameters for specific identification of geological bodies is the premise of oil and gas exploration and the necessary condition for later fine oil and gas reservoir evaluation.

[0003] At present, the reservoir sensitive parameter determination method commonly used in the petroleum industry is the well logging rock physical intersection analysis method. However, the limitation of this method is that it depends on complete and high-quality logging results, requires that the regional logging data have consistency, especially that there are even-order shear wave logging data. However, it is difficult for logging data in general areas to meet this requirement, and shear wave logging data are mostly obtained through rock physical modeling prediction, which has certain error and cannot effectively ensure the accuracy of reservoir sensitive parameter determination. SUMMARY

[0004] The present application provides a reservoir sensitive parameter determination method, device, equipment and storage medium to determine more matched reservoir sensitive parameters and ensure the accuracy of reservoir sensitive parameter determination, thereby effectively improving the seismic reservoir prediction accuracy.

[0005] In a first aspect, the present application embodiment provides a reservoir sensitive parameter determination method, comprising:

[0006] Obtaining a plurality of core samples of a target layer in an exploration area, each core sample corresponding to different porosities;

[0007] Based on the same seismic source as the frequency of the seismic wave, performing rock physical parameter experimental test on each core sample under different saturations to obtain the corresponding P-wave velocity and S-wave velocity of each test;

[0008] Based on the corresponding P-wave velocity and S-wave velocity of each test and the core density information, determining the parameter value of each rock physical elastic parameter corresponding to each test;

[0009] Based on the parameter values of each rock physical elastic parameter corresponding to each test, determining the reservoir sensitive parameter corresponding to the target layer from each rock physical elastic parameter.

[0010] In a second aspect, the present application embodiment further provides a reservoir sensitive parameter determination device, comprising:

[0011] a core obtaining module configured to obtain a plurality of core samples of a target layer in an exploration area, each core sample corresponding to a different porosity;

[0012] a wave velocity obtaining module configured to perform rock physical parameter experimental tests on each core sample under different saturations based on a seismic source with a same frequency as a seismic wave, to obtain a corresponding P-wave velocity and S-wave velocity for each test;

[0013] an elastic parameter determining module configured to determine a parameter value of each rock physical elastic parameter corresponding to each test based on the corresponding P-wave velocity and S-wave velocity for each test and core density information;

[0014] a sensitive parameter determining module configured to determine a reservoir sensitive parameter corresponding to the target layer from each rock physical elastic parameter based on the parameter value of each rock physical elastic parameter corresponding to each test.

[0015] In a third aspect, an electronic device is provided, and the electronic device includes at least one processor, and

[0016] a memory in communication with the at least one processor; and

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the reservoir sensitive parameter determination method provided by any of the embodiments of the present application.

[0018] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to execute the reservoir sensitive parameter determination method provided by any of the embodiments of the present application when executed by the processor.

[0019] The technical scheme of the embodiment of the present application comprises the following steps: obtaining a plurality of core samples of a target layer in an exploration area, each core sample corresponding to different porosities; performing rock physical parameter experimental tests on each core sample under different saturations based on a seismic source with the same frequency as a seismic wave, so as to obtain the corresponding P-wave velocity and S-wave velocity of each test under the seismic wave frequency; determining the parameter value of each rock physical elastic parameter corresponding to each test based on the corresponding P-wave velocity and S-wave velocity of each test and the core density information; and determining the reservoir sensitivity parameter corresponding to the target layer from each rock physical elastic parameter based on the parameter value of each rock physical elastic parameter corresponding to each test, so that the experimental test using the seismic source with the same frequency as the seismic wave can reduce the determination error of the reservoir sensitivity parameter caused by the difference between the seismic wave frequency and the test frequency, and thus the reservoir sensitivity parameter more matched with the seismic prediction result is obtained, the accuracy of the determination of the reservoir sensitivity parameter is effectively ensured, and the seismic reservoir prediction precision is effectively improved.

[0020] It should be understood that the content described in this part is not intended to identify the 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

[0021] 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 also be obtained by those skilled in the art without creative labor.

[0022] Figure 1 is a flow chart of a reservoir sensitivity parameter determination method according to the first embodiment of the present application;

[0023] Figure 2 is a pre-stack seismic inversion different elastic parameter profile according to the first embodiment of the present application;

[0024] Figure 3 is a flow chart of a reservoir sensitivity parameter determination method according to the second embodiment of the present application;

[0025] Figure 4 is an example diagram of different elastic parameter intersection analysis to determine sensitive seismic elastic parameters according to the second embodiment of the present application;

[0026] Figure 5 is a structural schematic diagram of a reservoir sensitivity parameter determination device according to the third embodiment of the present application;

[0027] Figure 6Fig. 1 is a structural schematic diagram of an electronic device for implementing a reservoir sensitive parameter determination method according to an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to make the personnel in the technical field better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0029] It should be noted that the terms "target", "current" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe 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 those 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 does not necessarily have to 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.

[0030] Embodiment one

[0031] Figure 1 A flowchart of a reservoir sensitive parameter determination method is provided for the first embodiment of the present application. The present embodiment can be applied to the case of determining sensitive parameters for effectively distinguishing reservoirs from non-reservoirs in an exploration area. As shown in Figure 1 The method can be performed by a reservoir sensitive parameter determination apparatus, which can be realized in the form of hardware and / or software, and can be configured in an electronic device. As shown in Figure 1 The method specifically includes the following steps:

[0032] S110, a plurality of core samples of a target layer of an exploration area are obtained, each core sample corresponding to a different porosity.

[0033] The exploration area can refer to a geological exploration work area, which can range from a mine area to a mine field. The target layer can refer to a rock layer with connected pores that allows oil and gas to be stored and seeped therein. The target layer is the area in the exploration area where the reservoir needs to be identified. The core sample can refer to a cylindrical rock sample taken from a hole using a ring core drill bit and other coring tools according to the needs of geological exploration work or engineering. The porosity can refer to the ratio of the sum of the pore space volume in the core sample to the volume of the core sample, which is referred to as the porosity of the core sample and is expressed in percentage.

[0034] Specifically, the cores at different positions of the target layer of the exploration area are collected and subjected to laboratory testing and sample preparation. For example, a core sample with a diameter of 3.8 cm and a length of more than 5 cm can be drilled at different positions of the target layer of the exploration area, and the surface of the core sample can be polished and profiled. The sample containing residual crude oil or bitumen is soaked in an organic solution for decontamination treatment to obtain the core sample of the target layer of the exploration area. The porosity of each core sample is tested to obtain the porosity of different core samples, thereby obtaining a plurality of core samples with different porosities of the target layer of the exploration area.

[0035] It should be noted that due to different geologies of different target layers of the exploration area, the sensitive parameters for effectively distinguishing the reservoirs and non-reservoirs are also different, and thus the reservoir sensitive parameters of the target layer of the exploration area need to be determined in real time.

[0036] In S120, rock physical parameter experimental tests at different saturations are performed on each core sample based on a seismic source with the same frequency as the seismic wave, and the corresponding P-wave velocity and S-wave velocity of each test group are obtained.

[0037] The seismic wave can refer to an elastic wave radiating outward from the seismic source, and the frequency of the seismic wave is generally 10-100 HZ. The seismic source can refer to a place where the vibration is caused by the rupture of the rock layer in the earth's interior. The seismic source of the earthquake caused by human factors is called artificial seismic source. The seismic source in the laboratory can be simulated by using a sound wave generator. The saturation can refer to the ratio of the oil volume in the pores to the pore volume in the core sample. The rock physical parameter can refer to the P-wave velocity, S-wave velocity and other parameters. The P-wave velocity can refer to the propagation velocity of the P-wave in the rock. The S-wave velocity can refer to the propagation velocity of the S-wave in the rock.

[0038] Specifically, the low-frequency seismic source in the laboratory is kept consistent with the seismic main frequency (such as 20 HZ), and the core sample is subjected to oil-containing fluid displacement, so that the rock physical parameter experiment test under different saturations can be performed on the core sample corresponding to each different porosity using the seismic source with the same frequency as the seismic wave frequency, that is, the rock physical parameter experiment test is performed on the core sample once for each fixed change in saturation, for example, the rock physical parameter experiment test is performed on each core sample at saturations of 10%, 20%, 30%,..., 90% and 100%, the test results are recorded and sorted, the test results are analyzed, and the corresponding P-wave velocity and S-wave velocity of each group of tests are obtained.

[0039] S130, based on the P-wave velocity and S-wave velocity corresponding to each group of tests and the core density information, determining the parameter value of each rock physical elastic parameter corresponding to each group of tests.

[0040] The rock physical elastic parameter can refer to a parameter for characterizing the resistance of rock to deformation and volume change (solid) or only resistance to volume change (liquid, gas) under the action of mechanical stress. For example, the rock physical elastic parameter can include but is not limited to: P-wave impedance, Lame coefficient, P-wave impedance and shear modulus. Each group of tests refers to the experimental test of the core sample at one porosity and one saturation. It should be noted that all rock physical elastic parameters can be calculated from the P-wave velocity, S-wave velocity and core density information.

[0041] Specifically, the parameter value of each rock physical elastic parameter corresponding to each group of tests can be determined based on the P-wave velocity and S-wave velocity corresponding to different porosities and different saturations obtained at a test frequency same as the frequency of the seismic wave and the core density information according to the conversion relationship between the P-wave velocity, S-wave velocity and core density information and each rock physical elastic parameter.

[0042] S140, based on the parameter value of each rock physical elastic parameter corresponding to each group of tests, determining the reservoir sensitivity parameter corresponding to the target layer from each rock physical elastic parameter.

[0043] The reservoir sensitivity parameter can refer to a rock physical elastic parameter that can significantly distinguish the reservoir from the non-reservoir. The reservoir can refer to a rock layer with connected pores that allows oil and gas to be stored and seeped therein. The non-reservoir can refer to a rock layer without connected pores or with very small connected pores, and oil and gas cannot be stored and seeped therein, such as a cap rock. It should be noted that the reservoir can refer to a rock layer with a core porosity greater than 2%. The non-reservoir can refer to a rock layer with a core porosity less than or equal to 2%.

[0044] Specifically, based on the parameter values of each rock physical elastic parameter corresponding to each test, each two rock physical elastic parameters are intersected to obtain core distribution information corresponding to each two rock physical elastic parameters, and based on the core distribution information corresponding to different rock physical elastic parameter combinations, a rock physical elastic parameter combination that can obviously distinguish the target layer is determined, and the rock physical elastic parameter combination is determined as the reservoir sensitive parameter corresponding to the target layer.

[0045] The technical scheme of the embodiment of the application obtains multiple core samples of the target layer of the exploration area, each core sample corresponding to different porosities, performs rock physical parameter experimental tests on each core sample under different saturations based on a seismic wave frequency same source, and thus obtains the longitudinal wave velocity and the transverse wave velocity corresponding to each test under the seismic wave frequency. Based on the longitudinal wave velocity and the transverse wave velocity corresponding to each test and the core density information, the parameter values of each rock physical elastic parameter corresponding to each test are determined, and based on the parameter values of each rock physical elastic parameter corresponding to each test, the reservoir sensitive parameter corresponding to the target layer is determined from each rock physical elastic parameter, so that the experimental tests are performed using the seismic wave frequency same source, the determination error of the reservoir sensitive parameter caused by the difference between the seismic wave frequency and the test frequency is reduced, the reservoir sensitive parameter that is more matched with the seismic prediction result is obtained, the accuracy of the determination of the reservoir sensitive parameter is effectively ensured, and the seismic reservoir prediction accuracy is effectively improved.

[0046] On the basis of the above technical scheme, S120 can include: based on a preset saturation change amount, displacing oil-containing fluid for each core sample to obtain the core sample under each oil saturation; based on a seismic wave frequency same source, performing rock physical parameter experimental tests on the core sample under each oil saturation to obtain the longitudinal wave velocity and the transverse wave velocity corresponding to each test.

[0047] The preset saturation change amount can be the saturation change interval between each two tests that is set in advance. For example, the preset saturation change amount can be 10%. The oil saturation can be the ratio of the oil volume in the effective pore of the oil layer to the effective pore volume of the core sample, which can be expressed by percentage.

[0048] Specifically, based on the preset saturation change amount of 10%, oil-containing fluid is displaced for each core sample corresponding to different porosities to obtain the core sample with oil saturation of 10%, 20%, 30%...90%, 100% corresponding to different porosities; based on a seismic wave frequency same low-frequency source, rock physical parameter experimental tests are performed on the core sample with oil saturation of 10%, 20%, 30%...90%, 100% corresponding to different porosities, the test results are recorded and sorted, and the test results are analyzed to obtain the longitudinal wave velocity and the transverse wave velocity corresponding to each core sample test.

[0049] For example, based on the seismic source with the same frequency as the seismic wave, the rock physical parameter experimental test is performed on the core sample under each oil saturation, and the corresponding longitudinal wave velocity and transverse wave velocity of each group of tests are obtained, including: for each core sample under each oil saturation, the rock physical parameter experimental test is performed on the core sample by acting the seismic source with the same frequency as the seismic wave on the core sample, and the transverse strain gauge and the longitudinal strain gauge are attached to the core sample; the transverse strain and the longitudinal strain corresponding to the transverse strain gauge and the longitudinal strain gauge are obtained; based on the transverse strain and the longitudinal strain, the longitudinal wave velocity and the transverse wave velocity corresponding to the core sample are determined.

[0050] The transverse strain gauge can be a metal electrical measuring element attached to the core sample in the transverse direction, used for accurately measuring force, load, torque, etc. in the static area. The longitudinal strain gauge can be a metal electrical measuring element attached to the core sample in the longitudinal direction, used for accurately measuring force, load, torque, etc. in the static area. The transverse strain can be the current generated when the transverse wave passes through the core sample. The longitudinal strain can be the current generated when the longitudinal wave passes through the core sample.

[0051] Specifically, the transverse strain gauge and the longitudinal strain gauge are attached to the surface of the core sample under each oil saturation, and the rock physical parameter experimental test is performed on the core sample by acting the low-frequency seismic source with the same frequency as the seismic wave on the core sample. When the seismic wave emitted by the low-frequency seismic source passes through the core sample, the core sample will be stretched or compressed with the seismic wave, and the transverse strain gauge and the longitudinal strain gauge are attached to the surface of the core sample. The strain gauges will be stretched or compressed with the core sample, and the strain gauges will generate current when they are stretched or compressed. At this time, the current generated by each strain gauge can be monitored, the current generated by the transverse strain gauge is the transverse strain of the core sample, and the current generated by the longitudinal strain gauge is the longitudinal strain of the core sample. Thus, the Young's modulus G corresponding to the longitudinal strain (the density function of the longitudinal wave velocity) and the shear modulus E corresponding to the transverse wave (the density function of the transverse wave velocity) are calculated, the density p of the core sample at normal temperature is measured, and the longitudinal wave velocity corresponding to the core sample is the square root of (G / p), and the transverse wave velocity corresponding to the core sample is the square root of (E / p).

[0052] On the basis of the above technical solution, after S140, it further includes: based on the parameter values of the reservoir sensitive parameters corresponding to each group of tests, performing frequency reduction correction on the logging data to obtain corrected logging curves; based on the test curves, performing pre-stack inversion of well-seismic joint to obtain the parameter values of the reservoir sensitive parameters in the whole exploration area; and based on the parameter values of the reservoir sensitive parameters in the whole exploration area, predicting the reservoir positions in the whole exploration area.

[0053] The well logging data can be rock physical elastic parameters of cores corresponding to different depths of a well wall. Specifically, based on the parameter values of the reservoir sensitive parameters corresponding to each group of tests, the well logging data corresponding to the reservoir sensitive parameters is determined and the well logging curve corresponding to the well logging data is determined. The reservoir sensitive parameters are compared with the corresponding well logging data, the well logging curve corresponding to the reservoir sensitive parameters is translated to a position coinciding with the reservoir sensitive parameters, a well logging curve under a low-frequency seismic source with the same frequency as the seismic frequency is obtained, and pre-stack inversion is performed based on the well logging curve after frequency reduction. Figure 2 As shown in the formula (1), the parameter values of the reservoir sensitive parameters of the whole exploration area are obtained, the reservoir positions in the whole exploration area are predicted based on the parameter values of the reservoir sensitive parameters of the whole exploration area, and thus the error of the reservoir sensitive parameters caused by the difference between the well logging frequency and the seismic frequency can be avoided, and the accuracy of the pre-stack inversion result is improved.

[0054] Embodiment Two

[0055] Figure 3 A flowchart of a reservoir sensitive parameter determination method provided by Embodiment Two of the present application is provided, and the present embodiment optimizes the step of "determining the reservoir sensitive parameters corresponding to the target layer from the various rock physical elastic parameters based on the parameter values of the various rock physical elastic parameters corresponding to each group of tests". The explanations of the same or corresponding terms in the above embodiments are not repeated here.

[0056] Referring to Figure 3 The reservoir sensitive parameter determination method provided by the present embodiment specifically includes the following steps.

[0057] S210, obtaining a plurality of core samples of a target layer of an exploration area, each core sample corresponding to different porosities.

[0058] S220, performing rock physical parameter experimental tests under different saturations on each core sample based on a seismic source with the same frequency as the seismic wave frequency, and obtaining the P-wave velocity and the S-wave velocity corresponding to each group of tests.

[0059] S230, determining the parameter values of each rock physical elastic parameter corresponding to each group of tests based on the P-wave velocity and the S-wave velocity corresponding to each group of tests and the core density information.

[0060] S240, intersecting each pair of rock physical elastic parameters based on the parameter values of the various rock physical elastic parameters corresponding to each group of tests, and obtaining core distribution information corresponding to each pair of rock physical elastic parameters.

[0061] Specifically, based on the parameter values of the rock physical elastic parameters corresponding to each group of tests, each two rock physical elastic parameters are combined to determine the core sample coordinates in the two-dimensional coordinate plane corresponding to different combinations of rock physical elastic parameters, and the core sample coordinates are taken as the core distribution information corresponding to each two rock physical elastic parameters.

[0062] For example, S240 can include: for each two rock physical elastic parameters, constructing a coordinate system with the first rock physical elastic parameter as the horizontal coordinate and the second rock physical elastic parameter as the vertical coordinate; and determining the core distribution information in the coordinate system based on the parameter values of the first rock physical elastic parameter and the second rock physical elastic parameter corresponding to each group of tests.

[0063] Specifically, as shown in Figure 4 The elliptical area is the core distribution information of the reservoir, the first two coordinate systems represent the coordinate system composed of porosity and single rock physical elastic parameter, and the horizontal and vertical coordinates of the first coordinate system represent porosity and shear wave velocity Vs, respectively. The horizontal and vertical coordinates of the second coordinate system represent porosity and compressional wave velocity Vp, respectively. Obviously, a single rock physical elastic parameter cannot distinguish the core distribution information corresponding to the reservoir. The third coordinate system represents different combinations of two rock physical elastic parameters, and the horizontal coordinate in the coordinate system is the first rock physical elastic parameter, i.e., shear wave impedance Zs, and the vertical coordinate is the second rock physical elastic parameter, i.e., compressional wave impedance Zp. Each point in the coordinate system is the coordinate corresponding to each core sample, and the core distribution information in the coordinate system is determined based on the position distribution of each core sample coordinate point.

[0064] S250, based on the core distribution information, determines whether each two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer.

[0065] Specifically, for each two rock physical elastic parameters, the core distribution information of the reservoir class and the core distribution information of the non-reservoir class under the two rock physical elastic parameters can be compared to determine whether the reservoir and the non-reservoir can be effectively distinguished, and if so, the two rock physical elastic parameters can be determined as the reservoir sensitive parameters corresponding to the target layer.

[0066] For example, S250 can include: based on the core distribution information, determining the core distribution information of the reservoir class and the core distribution information of the non-reservoir class; and if the core distribution information of the reservoir class and the core distribution information of the non-reservoir class satisfy a preset reservoir sensitive condition, determining that the first rock physical elastic parameter and the second rock physical elastic parameter are reservoir sensitive parameters corresponding to the target layer.

[0067] The preset reservoir sensitive condition can be a condition satisfied by a sensitive parameter that can effectively distinguish the reservoir and the non-reservoir.

[0068] Specifically, as shown in the figure, Figure 4 The elliptical area is the reservoir type core distribution information, and the core distribution information in the third coordinate system in the figure shows that the reservoir core distribution information is the coordinate area corresponding to the lower first rock physical parameter (S-wave impedance) and the second rock physical parameter (P-wave impedance), and the coordinate area corresponding to the lower first rock physical parameter and the second rock physical parameter does not exist non-reservoir core distribution information, so that the reservoir type core distribution information and the non-reservoir type core distribution information satisfy the preset reservoir sensitive condition. The first rock physical parameter and the second rock physical parameter with lower parameter values can obviously distinguish the reservoir type core and the non-reservoir type core, so that the first rock physical elastic parameter and the second rock physical elastic parameter are determined as the reservoir sensitive parameters corresponding to the target layer.

[0069] The technical scheme of the embodiment of the present application is based on the parameter values of each rock physical elastic parameter corresponding to each test, and the two rock physical elastic parameters are intersected to obtain the core distribution information corresponding to each two rock physical elastic parameters; based on the core distribution information, it is determined whether each two rock physical elastic parameters are the reservoir sensitive parameters corresponding to the target layer, so that the reservoir sensitive parameters in the target layer of the exploration area are accurately determined, and the seismic reservoir prediction accuracy is further improved.

[0070] Embodiment three

[0071] Figure 5 A structural schematic diagram of a reservoir sensitive parameter determination device provided by the third embodiment of the present application is shown in the figure. Figure 5 As shown in the figure, the device comprises a core sample acquisition module 310, a parameter test test module 320, an elastic parameter value determination module 330 and a sensitive parameter determination module 340.

[0072] The core sample acquisition module 310 is used to acquire a plurality of core samples of the target layer of the exploration area, and each core sample corresponds to different porosities.

[0073] The parameter test test module 320 is used to test the rock physical parameters of each core sample under different saturations based on the same seismic source as the seismic wave frequency, and obtain the P-wave velocity and the S-wave velocity corresponding to each test;

[0074] The elastic parameter value determination module 330 is used to determine the parameter value of each rock physical elastic parameter corresponding to each test based on the P-wave velocity and the S-wave velocity corresponding to each test and the core density information;

[0075] The sensitive parameter determination module 340 is used to determine the reservoir sensitive parameters corresponding to the target layer from each rock physical elastic parameter based on the parameter values of each rock physical elastic parameter corresponding to each test.

[0076] The technical scheme of the embodiment obtains a plurality of core samples of a target layer of an exploration area, each core sample corresponding to different porosities; performs rock physical parameter experimental testing on each core sample under different saturations based on a seismic wave frequency same source, thereby obtaining the corresponding longitudinal wave velocity and transverse wave velocity of each test group under the seismic wave frequency. Based on the corresponding longitudinal wave velocity and transverse wave velocity of each test group and the core density information, the parameter value of each rock physical elastic parameter corresponding to each test group is determined; based on the parameter value of each rock physical elastic parameter corresponding to each test group, the reservoir sensitive parameter corresponding to the target layer is determined from each rock physical elastic parameter, thereby the experimental testing using the seismic wave frequency same source can reduce the determination error of the reservoir sensitive parameter caused by the difference between the seismic wave frequency and the test frequency, and the reservoir sensitive parameter more matched with the seismic prediction result is obtained, thereby the accuracy of the reservoir sensitive parameter determination is effectively ensured, and the seismic reservoir prediction precision is effectively improved.

[0077] Optionally, the parameter experimental testing module 320 comprises:

[0078] The core sample obtaining unit is configured to displace oil-containing fluid in each core sample based on a preset saturation variation amount, and obtain the core sample under each oil saturation;

[0079] The wave velocity obtaining unit is configured to perform rock physical parameter experimental testing on the core sample under each oil saturation based on a seismic wave frequency same source, and obtain the corresponding longitudinal wave velocity and transverse wave velocity of each test group.

[0080] Optionally, the wave velocity obtaining unit comprises:

[0081] The physical parameter testing subunit is configured to, for each core sample under each oil saturation, perform rock physical parameter experimental testing on the core sample by applying the seismic wave frequency same source to the core sample, and the core sample is attached with a transverse strain gauge and a longitudinal strain gauge;

[0082] The strain amount obtaining subunit is configured to obtain the transverse strain amount corresponding to the transverse strain gauge and the longitudinal strain amount corresponding to the longitudinal strain gauge;

[0083] The wave velocity determining subunit is configured to determine the corresponding longitudinal wave velocity and transverse wave velocity of the core sample based on the transverse strain amount and the longitudinal strain amount.

[0084] Optionally, the sensitive parameter determining module 340 comprises:

[0085] The core distribution information determination unit is configured to intersect each pair of rock physical elastic parameters based on the parameter values of the respective rock physical elastic parameters corresponding to each group of tests, and obtain core distribution information corresponding to each pair of rock physical elastic parameters.

[0086] The sensitive parameter determination unit is configured to determine whether each pair of rock physical elastic parameters is a reservoir sensitive parameter corresponding to the target layer based on the core distribution information.

[0087] Optionally, the core distribution information determination unit is specifically configured to: for each pair of rock physical elastic parameters, construct a coordinate system with a first rock physical elastic parameter as an abscissa and a second rock physical elastic parameter as an ordinate; and determine core distribution information in the coordinate system based on the parameter values of the first rock physical elastic parameter and the second rock physical elastic parameter corresponding to each group of tests.

[0088] Optionally, the sensitive parameter determination unit is specifically configured to: determine reservoir core distribution information and non-reservoir core distribution information based on the core distribution information; and if the reservoir core distribution information and the non-reservoir core distribution information satisfy a preset reservoir sensitive condition, determine that the first rock physical elastic parameter and the second rock physical elastic parameter are the reservoir sensitive parameter corresponding to the target layer.

[0089] Optionally, the device further comprises:

[0090] The logging curve determination unit is configured to, after determining the reservoir sensitive parameter corresponding to the target layer from the respective rock physical elastic parameters, perform down-frequency correction on logging data based on the parameter values of the reservoir sensitive parameter corresponding to each group of tests, and obtain a corrected logging curve.

[0091] The parameter value determination unit is configured to perform pre-stack inversion of well-to-seismic joint based on the test curve, and obtain parameter values of the reservoir sensitive parameter in the whole exploration area.

[0092] The reservoir location prediction unit is configured to predict a reservoir location in the whole exploration area based on the parameter values of the reservoir sensitive parameter in the whole exploration area.

[0093] The vehicle networking data synchronization device provided in the embodiments of the present application can execute the vehicle networking data synchronization method provided in any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0094] Figure 6A schematic diagram of an electronic device 12 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as desktop computers, workbenches, servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0095] like Figure 6 As shown, the electronic device 12 is represented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0096] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0097] Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0098] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (… Figure 6 Not shown; usually referred to as a "hard drive"). Although Figure 6A disk drive, a floppy disk drive, and / or other instrumentation technologies that can read from and write to removable nonvolatile media (e.g., flash memory, etc.) can also be provided. Such drives can enable system 10 to communicate with one or more of the external devices 14, such as a storage device (e.g., a floppy disk), a CD-ROM, a DVD, a Blu-ray Disc®, a flash memory device, etc. Further, such drives can enable system 10 to communicate with other devices such as a storage array or a storage area network (SAN). In these instances, these drives can be considered as removable nonvolatile media drives. In these instances, each drive can be connected to bus 18 by one or more data media interfaces. The system memory 28 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.

[0099] The program / utility 40, having a set (at least one) of program modules 42, can be stored in system memory 28 by way of example, and can include an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data of the program / utility 40, or some combination thereof, can include implementation of a network environment. The modules 42 generally carry out the functions and / or methodologies of embodiments of the application as described herein.

[0100] The electronic device 12 can also communicate with one or more external devices 14 such as a keyboard or pointing device, a display 24, etc. further can communicate with one or more devices that enable a user to interact with the electronic device 12 and / or one or more devices that enable the electronic device 12 to communicate with one or more other computing devices. Such communication can be via input / output (I / O) interfaces 22. Further, the electronic device 12 can communicate with one or more networks such as a local area network (LAN), a wide area network (WAN), and / or the Internet through a network adapter 20. As depicted, the network adapter 20 communicates with the other components of the electronic device 12 through the bus 18. It should be appreciated that although not shown, other hardware and / or software modules could be used in conjunction with the electronic device 12. Such as, but not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

[0101] The processing unit 16 performs various function applications and data processing by running programs stored in the system memory 28, such as implementing a reservoir sensitive parameter determination method provided by embodiments of the present application, the method comprising:

[0102] Obtaining a plurality of core samples of a target layer in an exploration area, each core sample corresponding to a different porosity;

[0103] Performing rock physical parameter experimental tests on each core sample under different saturations based on a seismic source with the same frequency as the seismic wave, obtaining the corresponding P-wave velocity and S-wave velocity of each group of tests;

[0104] determine parameter values of each rock physical elastic parameter corresponding to each group of tests based on the P-wave velocity and the S-wave velocity corresponding to each group of tests and the core density information;

[0105] determine the reservoir sensitivity parameter corresponding to the target layer from each rock physical elastic parameter based on the parameter values of each rock physical elastic parameter corresponding to each group of tests.

[0106] Of course, those skilled in the art can understand that the processor can also implement the technical solutions of the reservoir sensitivity parameter determination method provided by any embodiment of the application.

[0107] The embodiment provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the reservoir sensitivity parameter determination method steps provided by any embodiment of the application, and the method comprises the following steps of:

[0108] obtain a plurality of core samples of a target layer in an exploration area, and each core sample corresponds to different porosities;

[0109] perform rock physical parameter experimental tests on each core sample under different saturations based on a seismic source with the same frequency as a seismic wave frequency to obtain P-wave velocity and S-wave velocity corresponding to each group of tests;

[0110] determine parameter values of each rock physical elastic parameter corresponding to each group of tests based on the P-wave velocity and the S-wave velocity corresponding to each group of tests and the core density information;

[0111] determine the reservoir sensitivity parameter corresponding to the target layer from each rock physical elastic parameter based on the parameter values of each rock physical elastic parameter corresponding to each group of tests.

[0112] The computer storage medium of the embodiment of the application 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, but is not limited to, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples (non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or component.

[0113] A computer readable signal medium can include a propagated data signal with computer executable prograrn code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal can take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium can be any computer readable medium that can be

[0114] Program code embodied on a computer readable medium can 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.

[0115] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0116] Those of ordinary skill in the art will appreciate that the modules, steps, and operations of the application described above can be implemented using general computing devices, and that they can be centralized in a single computing device or distributed among multiple computing devices, optionally in a networked environment, and that they can be implemented using computer executable program code stored on a storage device and executed by a computing device, or they can be implemented as individual integrated circuit modules, or multiple ones of the modules or steps can be implemented as a single integrated circuit module, and so on. Thus, the present application is not limited to any particular combination of hardware and software.

[0117] Note that the above merely describes preferred embodiments of the present application and the principles of the technology applied. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, modifications and substitutions can be made without departing from the scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for determining reservoir sensitive parameters, characterized in that, include: Multiple core samples were obtained from the target layer in the exploration area, with each core sample corresponding to a different porosity. Based on a seismic source with the same frequency as the seismic waves, rock physical parameters of each core sample were tested at different saturations to obtain the P-wave velocity and S-wave velocity corresponding to each test group. Based on the longitudinal wave velocity, transverse wave velocity, and core density information corresponding to each set of tests, the parameter values ​​of each rock physical elastic parameter corresponding to each set of tests are determined. Based on the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests, the reservoir sensitive parameter corresponding to the target layer is determined from each rock physical elastic parameter. The process of determining the reservoir sensitive parameters corresponding to the target layer from the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests includes: Based on the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests, the rock physical elastic parameters are intersected in pairs to obtain the core distribution information corresponding to each pair of rock physical elastic parameters. Based on the core distribution information, determine whether every two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer; The method involves intersecting the rock physical elastic parameters corresponding to each set of tests to obtain core distribution information for every two rock physical elastic parameters, including: For every two rock physical elastic parameters, construct a coordinate system with the first rock physical elastic parameter as the abscissa and the second rock physical elastic parameter as the ordinate; Based on the parameter values ​​of the first rock physical elastic parameter and the second rock physical elastic parameter corresponding to each group of tests, the core distribution information in the coordinate system is determined. The step of determining whether every two rock physical elastic parameters are reservoir-sensitive parameters corresponding to the target layer based on the core distribution information includes: Based on the core distribution information, the distribution information of reservoir-type cores and the distribution information of non-reservoir-type cores are determined; If the reservoir-type core distribution information and the non-reservoir-type core distribution information meet the preset reservoir sensitivity conditions, then the first rock physical elastic parameter and the second rock physical elastic parameter are determined as the reservoir sensitivity parameters corresponding to the target layer.

2. The method according to claim 1, characterized in that, Based on a seismic source with the same frequency as the seismic waves, rock physical parameters of each core sample were experimentally tested at different saturations to obtain the P-wave velocity and S-wave velocity corresponding to each test group, including: Based on the preset saturation change, each core sample was subjected to oil-bearing fluid displacement to obtain core samples at each oil saturation level. Based on a seismic source with the same frequency as the seismic waves, rock physical parameters were experimentally tested on core samples at each oil saturation level to obtain the P-wave velocity and S-wave velocity corresponding to each test group.

3. The method according to claim 2, characterized in that, Based on a seismic source with the same frequency as the seismic waves, rock physical parameters were experimentally tested on core samples at each oil saturation level to obtain the P-wave velocity and S-wave velocity corresponding to each test group, including: For each core sample at oil saturation, a seismic source with the same frequency as the seismic wave is applied to the core sample to conduct rock physical parameter tests. The core sample is fitted with transverse strain gauges and longitudinal strain gauges. Obtain the transverse strain corresponding to the transverse strain gauge and the longitudinal strain corresponding to the longitudinal strain gauge; Based on the transverse strain and the longitudinal strain, the longitudinal wave velocity and transverse wave velocity corresponding to the core sample are determined.

4. The method according to any one of claims 1-3, characterized in that, After determining the reservoir sensitive parameters corresponding to the target layer from various rock physical elastic parameters, the process further includes: Based on the parameter values ​​of the reservoir sensitive parameters corresponding to each group of tests, the logging data is frequency-reduced and corrected to obtain the corrected logging curves. Based on the well logging curves, a pre-stack inversion combining well and seismic data is performed to obtain the parameter values ​​of reservoir sensitive parameters for the entire exploration area. Based on the parameter values ​​of reservoir sensitive parameters for the entire area, the location of reservoirs in the entire exploration area is predicted.

5. A device for determining reservoir sensitive parameters, characterized in that, include: The core sample acquisition module is used to acquire multiple core samples from the target layer in the exploration area, with each core sample corresponding to a different porosity. The parameter experiment test module is used to conduct rock physical parameter experiments on each core sample at different saturations based on a seismic source with the same frequency as the seismic wave, and to obtain the P-wave velocity and S-wave velocity corresponding to each test group. The elastic parameter value determination module is used to determine the parameter value of each rock physical elastic parameter corresponding to each test group based on the longitudinal wave velocity, transverse wave velocity and core density information corresponding to each test group. The sensitive parameter determination module is used to determine the reservoir sensitive parameter corresponding to the target layer from the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests. The sensitive parameter determination module includes: The core distribution information determination unit is used to intersect the rock physical elastic parameters in pairs based on the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests, and obtain the core distribution information corresponding to each pair of rock physical elastic parameters. The sensitive parameter determination unit is used to determine, based on the core distribution information, whether every two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer; The core distribution information determination unit is specifically used for: constructing a coordinate system with the first rock physical elastic parameter as the abscissa and the second rock physical elastic parameter as the ordinate for every two rock physical elastic parameters; and determining the core distribution information in the coordinate system based on the parameter values ​​of the first rock physical elastic parameter and the parameter values ​​of the second rock physical elastic parameter corresponding to each group of tests. The sensitive parameter determination unit is specifically used for: determining reservoir-type core distribution information and non-reservoir-type core distribution information based on the core distribution information; if the reservoir-type core distribution information and the non-reservoir-type core distribution information meet the preset reservoir sensitivity conditions, then determining the first rock physical elastic parameter and the second rock physical elastic parameter as the reservoir sensitive parameters corresponding to the target layer.

6. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the reservoir sensitive parameter determination method according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that are used to cause a processor to execute the reservoir sensitive parameter determination method according to any one of claims 1-4.

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