Reservoir sensitive parameter determination method and device, equipment and storage medium

Abstract

The invention discloses a reservoir sensitive parameter determination method, device and equipment and a storage medium, and the method comprises the steps: obtaining a plurality of core samples of a target layer of an exploration area, each core sample corresponding to a different porosity; based on a seismic source with the same frequency as the seismic wave, rock physical parameter experiment tests under different saturations are carried out on each rock core sample, and the longitudinal wave speed and the transverse wave speed corresponding to each group of tests are obtained; determining a parameter value of each rock physical elastic parameter corresponding to each group of tests based on the longitudinal wave speed and the transverse wave speed corresponding to each group of tests and the core density information; and determining reservoir sensitive parameters corresponding to the target layer from the rock physical elastic parameters based on the parameter values of the rock physical elastic parameters corresponding to each group of tests. According to the technical scheme of the embodiment of the invention, the more matched reservoir sensitive parameters are determined, and the determination accuracy of the reservoir sensitive parameters is ensured, so that the seismic reservoir prediction precision is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of geophysical technology in the petroleum industry, and in particular to a method, device, equipment and storage medium for determining reservoir sensitive parameters. Background Art

[0002] Seismic exploration is the main method for oil exploration and development in my country. It uses the difference in the response of seismic waves passing through the strata to predict reservoirs and fluids. Rock physical elastic parameters such as seismic attributes and seismic inversion have different sensitivities to different geological targets. Seismic parameters that are sensitive to reservoirs are the most concerned target for geophysical engineers. Therefore, the selection of sensitive seismic parameters for specific identified geological bodies is a prerequisite for oil and gas exploration and a necessary condition for subsequent fine oil and gas reservoir evaluation.

[0003] At present, the method for determining reservoir sensitive parameters that is widely used in the petroleum industry is usually the logging rock physics intersection analysis method. However, the limitation of this method is that it relies on complete and high-quality logging results, and requires consistency in regional logging data, especially even-order shear wave logging data. However, it is difficult for logging data in general areas to meet this requirement. Shear wave logging data are mostly obtained through rock physics modeling prediction, which has certain errors and cannot effectively guarantee the accuracy of reservoir sensitive parameter determination. Summary of the invention

[0004] The present invention provides a reservoir sensitive parameter determination method, device, equipment and storage medium to determine more matching reservoir sensitive parameters, ensure the accuracy of reservoir sensitive parameter determination, and thus effectively improve the accuracy of seismic reservoir prediction.

[0005] In a first aspect, an embodiment of the present invention provides a method for determining reservoir sensitive parameters, comprising:

[0006] Obtain multiple core samples of the target layer in the exploration area, each core sample corresponding to a different porosity;

[0007] Based on the seismic source with the same frequency as the seismic wave, the rock physical parameters of each core sample are tested at different saturations to obtain the corresponding longitudinal wave velocity and shear wave velocity for each group of tests;

[0008] Determine the parameter value of each rock physical elastic parameter corresponding to each set of tests based on the P-wave velocity and S-wave velocity and core density information corresponding to each set of tests;

[0009] Based on the parameter values ​​of the respective rock physical elastic parameters corresponding to the respective test groups, the reservoir sensitivity parameters corresponding to the target layer are determined from the respective rock physical elastic parameters.

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

[0011] The core acquisition module is used to obtain multiple core samples of the target layer in the exploration area, each core sample corresponds to a different porosity;

[0012] The wave velocity acquisition module is used to perform rock physical parameter experimental tests at different saturations on each core sample based on a source with the same frequency as the seismic wave, and obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests;

[0013] An elastic parameter determination module, used to determine the parameter value of each rock physical elastic parameter corresponding to each group of tests based on the P-wave velocity and S-wave velocity and core density information corresponding to each group of tests;

[0014] The sensitive parameter determination module is used to determine 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.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device, characterized in that the electronic device comprises: at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can execute the reservoir sensitivity parameter determination method provided in any embodiment of the present invention.

[0018] In a fourth aspect, an embodiment of the present invention further provides 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 execute the reservoir sensitivity parameter determination method provided by any embodiment of the present invention when executing the computer instructions.

[0019] The technical solution of the embodiment of the present invention is to obtain multiple core samples of the target layer in the exploration area, each core sample corresponds to a different porosity; based on the seismic source with the same frequency as the seismic wave, perform rock physical parameter experimental tests at different saturations on each core sample, so as to obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests at the seismic wave frequency. Based on the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests and the core density information, the parameter value of each rock physical elastic parameter corresponding to each group of tests is determined; based on the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests, the reservoir sensitive parameters corresponding to the target layer are determined from each rock physical elastic parameter, 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 sensitive parameters caused by the difference between the seismic wave frequency and the test frequency, thereby obtaining reservoir sensitive parameters that are more matched with the seismic prediction results, effectively ensuring the accuracy of the determination of the reservoir sensitive parameters, and thereby effectively improving the accuracy of seismic reservoir prediction.

[0020] 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

[0021] 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.

[0022] Figure 1 is a flow chart of a reservoir sensitive parameter determination method provided according to Embodiment 1 of the present invention;

[0023] Figure 2 It is a cross-sectional diagram of different elastic parameters of pre-stack seismic inversion according to the first embodiment of the present invention;

[0024] Figure 3 is a flow chart of a method for determining reservoir sensitive parameters provided in accordance with Embodiment 2 of the present invention;

[0025] Figure 4 This is an example diagram of determining sensitive earthquake elastic parameters by cross analysis of different elastic parameters involved in the second embodiment of the present invention;

[0026] Figure 5 is a structural schematic diagram of a reservoir sensitive parameter determination device provided according to Embodiment 3 of the present invention;

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

[0028] 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.

[0029] It should be noted that the terms "target", "current", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Embodiment 1

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

[0032] S110, obtaining multiple core samples of the target layer in the exploration area, each core sample corresponding to a different porosity.

[0033] Among them, the exploration area can refer to the working area of ​​geological exploration, which can be as large as a mining area or as small as a well field. The target layer can refer to the rock layer with connected pores that allow oil and gas to be stored and permeated therein. The target layer is also the area in the exploration area where the reservoir needs to be identified. The core sample can refer to the cylindrical rock sample taken out of the hole using an annular core drill bit and other coring tools according to the needs of geological exploration work or engineering. Porosity can refer to the ratio of the sum of the volumes of all pore spaces in the core sample to the volume of the core sample, which is called the porosity of the core sample and is expressed as a percentage.

[0034] Specifically, cores at different locations of the target layer in the exploration area are collected and processed for laboratory testing and sample preparation. For example, core samples with a diameter of 3.8 cm and a length greater than 5 cm can be drilled at different locations of the target layer in the exploration area, and the surface of the core samples is polished and cut. Samples containing residual crude oil or asphalt are immersed in an organic solution for decontamination to obtain core samples of the target layer in the exploration area. Porosity tests are performed on each core sample to obtain the porosity of different core samples, thereby obtaining multiple core samples with different porosities in the target layer of the exploration area.

[0035] It should be noted that, due to the different geology of target layers in different exploration areas, the sensitive parameters used to effectively distinguish reservoirs from non-reservoir layers are also different, so it is necessary to determine the reservoir sensitive parameters of the target layers in the exploration area in real time.

[0036] S120. Based on a seismic source with the same frequency as the seismic wave, experimental tests of rock physical parameters at different saturations are performed on each core sample to obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests.

[0037] Among them, seismic waves can refer to elastic waves that radiate from the source, and the frequency of seismic waves is generally 10-100HZ. The source of the earthquake can refer to the place where the rock strata inside the earth are broken and cause vibration. The source of the earthquake caused by human factors is called an artificial source. The source in the laboratory can be simulated using an acoustic wave generator. Saturation can refer to the ratio of the pore oil volume to the pore volume in the core sample. Rock physical parameters can refer to parameters such as longitudinal wave velocity and transverse wave velocity. The longitudinal wave velocity can refer to the propagation speed of longitudinal waves in rocks. The transverse wave velocity can refer to the propagation speed of transverse waves in rocks.

[0038] Specifically, the low-frequency seismic source in the laboratory is kept consistent with the main frequency of the earthquake (for example, 20HZ), and the core samples are displaced with oil-containing fluids, so that the seismic source with the same frequency as the seismic wave can be used to perform rock physical parameter experimental tests at different saturations for each core sample corresponding to different porosities, that is, a rock physical parameter experimental test is performed on the core sample every time the saturation changes by a fixed value. For example, rock physical parameter experimental tests are performed on each core sample at saturations of 10%, 20%, 30%...90% and 100%, and the test results are recorded and organized, analyzed, and the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests are obtained.

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

[0040] Among them, rock physical elastic parameters can refer to parameters used to characterize the resistance of rocks to deformation and volume change (solid) or only to volume change (liquid, gas) under mechanical stress. For example, rock physical elastic parameters may include but are not limited to: P-wave impedance, Lame coefficient, P-wave impedance and shear modulus. Each set of tests refers to experimental tests of core samples at one porosity and one saturation. It should be noted that all rock physical elastic parameters can be calculated through P-wave velocity, S-wave velocity and core density information.

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

[0042] S140. Based on the parameter values ​​of the respective rock physical elastic parameters corresponding to the respective test groups, a reservoir sensitivity parameter corresponding to the target layer is determined from the respective rock physical elastic parameters.

[0043] Among them, reservoir sensitive parameters may refer to rock physical elastic parameters that can clearly distinguish reservoirs from non-reservoir layers. Reservoirs may refer to rock formations with interconnected pores that allow oil and gas to be stored and infiltrated therein. Non-reservoirs may refer to rock formations that do not have interconnected pores or have extremely small interconnected pores, in which oil and gas cannot be stored and infiltrated, such as caprocks. It should be noted that reservoirs may refer to rock formations with a core porosity greater than 2%. Non-reservoirs may refer to rock formations 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 group of tests, the rock physical elastic parameters are intersected pairwise to obtain the core distribution information corresponding to every two rock physical elastic parameters, and based on the core distribution information corresponding to different combinations of rock physical elastic parameters, a combination of rock physical elastic parameters that can clearly distinguish the target layer is determined, and the combination of rock physical elastic parameters is determined as the reservoir sensitive parameter corresponding to the target layer.

[0045] The technical solution of the embodiment of the present invention is to obtain multiple core samples of the target layer in the exploration area, each core sample corresponds to a different porosity; based on the seismic source with the same frequency as the seismic wave, perform rock physical parameter experimental tests at different saturations on each core sample, so as to obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests at the seismic wave frequency. Based on the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests and the core density information, the parameter value of each rock physical elastic parameter corresponding to each group of tests is determined; based on the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests, the reservoir sensitive parameters corresponding to the target layer are determined from each rock physical elastic parameter, so that the experimental test is performed using the seismic source with the same frequency as the seismic wave, which can reduce the determination error of the reservoir sensitive parameters caused by the difference between the seismic wave frequency and the test frequency, thereby obtaining reservoir sensitive parameters that are more matched with the seismic prediction results, effectively ensuring the accuracy of the determination of the reservoir sensitive parameters, and thus effectively improving the accuracy of seismic reservoir prediction.

[0046] On the basis of the above technical solution, S120 may include: based on a preset saturation change, displacing each core sample with oil-containing fluid to obtain a core sample at each oil saturation; based on a seismic source with the same frequency as the seismic wave, performing rock physical parameter experimental testing on the core sample at each oil saturation to obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests.

[0047] The preset saturation change may refer to a preset interval of saturation change between two tests. For example, the preset saturation change may be 10%. The oil saturation may refer to the ratio of the oil volume in the effective pores of the oil layer to the effective pore volume of the core sample, which may be expressed as a percentage.

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

[0049] Exemplarily, based on a seismic source with the same frequency as the seismic wave, a rock physical parameter experimental test is performed on the core sample at each oil saturation to obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests, 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 perform a rock physical parameter experimental test, the core sample being affixed with a transverse strain gauge and a longitudinal strain gauge; obtaining the transverse strain amount corresponding to the transverse strain gauge and the longitudinal strain amount corresponding to the longitudinal strain gauge; and determining the longitudinal wave velocity and transverse wave velocity corresponding to the core sample based on the transverse strain amount and the longitudinal strain amount.

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

[0051] Specifically, the transverse strain gauge and the longitudinal strain gauge are attached to the surface of the core sample at each oil saturation, and a low-frequency source with the same frequency as the seismic wave is applied to the core sample to perform experimental tests on rock physical parameters. When the seismic wave emitted by the low-frequency source passes through the core sample, the core sample will be stretched or compressed along with the seismic wave. The transverse strain gauge and the longitudinal strain gauge are attached to the surface of the core sample, and the strain gauge will be stretched or compressed along with the core sample. When the strain gauge is stretched or compressed, a current will be generated. 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 (density function of the longitudinal wave velocity) corresponding to the longitudinal strain and the shear modulus E (density function of the transverse wave velocity) corresponding to the transverse wave are calculated. The density p of the core sample at room 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 scheme, after S140, it also 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 the corrected logging curve; performing pre-stack inversion of well and seismic data based on the test curve to obtain the parameter values ​​of the reservoir sensitive parameters of the entire exploration area; based on the parameter values ​​of the reservoir sensitive parameters of the entire area, predicting the reservoir position in the entire exploration area.

[0053] The logging data may refer to the rock physical elastic parameters corresponding to the cores at different depths measured by the borehole wall. Specifically, based on the parameter values ​​of the reservoir sensitive parameters corresponding to each group of tests, the logging data corresponding to the reservoir sensitive parameters and the logging curve corresponding to the logging data are determined, the reservoir sensitive parameters are compared with the corresponding logging data, and the logging curve corresponding to the reservoir sensitive parameters is translated to a position that coincides with the reservoir sensitive parameters to obtain the logging curve under the low-frequency source with the same seismic frequency, and the pre-stack inversion of well-seismic joint is performed based on the logging curve after frequency reduction, such as Figure 2 As shown, the parameter values ​​of the reservoir sensitive parameters of the entire exploration area are obtained; based on the parameter values ​​of the reservoir sensitive parameters of the entire exploration area, the reservoir position in the entire exploration area is predicted, thereby avoiding the error of the reservoir sensitive parameters caused by the difference between the logging frequency and the seismic frequency, and improving the accuracy of the prestack inversion results.

[0054] Embodiment 2

[0055] Figure 3 This is a flow chart of a reservoir sensitivity parameter determination method provided in the second embodiment of the present invention. Based on the above embodiments, this embodiment optimizes the step of "determining the reservoir sensitivity 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 terms that are the same or corresponding to the above embodiments are not repeated here.

[0056] See also Figure 3 Another reservoir sensitive parameter determination method provided in this embodiment specifically includes the following steps:

[0057] S210, obtaining multiple core samples of the target layer in the exploration area, each core sample corresponding to a different porosity.

[0058] S220. Based on a seismic source with the same frequency as the seismic wave, experimental tests of rock physical parameters at different saturations are performed on each core sample to obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests.

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

[0060] S240: Based on the parameter values ​​of the rock physical elastic parameters corresponding to each group of tests, the rock physical elastic parameters are intersected in pairs to obtain core distribution information corresponding to every two rock physical elastic parameters.

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

[0062] Exemplarily, S240 may include: for every 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; 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, determining the core distribution information in the coordinate system.

[0063] Specifically, Figure 4 As shown, the elliptical area is the core distribution information of the reservoir. The first two coordinate systems represent the coordinate systems composed of porosity under a single rock physical elastic parameter. The horizontal and vertical coordinates of the first coordinate system represent porosity por (porosity) and shear wave velocity Vs, respectively. The horizontal and vertical coordinates in the second coordinate system represent porosity and longitudinal 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 two different combinations of rock physical elastic parameters. The horizontal coordinate in the coordinate system is the first rock physical elastic parameter, that is, the shear wave impedance Zs, and the vertical coordinate is the second rock physical elastic parameter, that is, the longitudinal wave impedance Zp. Each point in the coordinate system is the coordinate corresponding to each core sample. Based on the position distribution of the coordinate points of each core sample, the core distribution information in the coordinate system is determined.

[0064] S250: Based on the core distribution information, determine whether every two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer.

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

[0066] Exemplarily, S250 may include: determining reservoir core distribution information and non-reservoir core distribution information based on core distribution information; if the reservoir core distribution information and the non-reservoir core distribution information meet preset reservoir sensitivity conditions, determining the first rock physical elastic parameter and the second rock physical elastic parameter as reservoir sensitivity parameters corresponding to the target layer.

[0067] The preset reservoir sensitivity condition may be a pre-set condition that can effectively distinguish between conditions satisfied by sensitive parameters of reservoirs and non-reservoirs.

[0068] Specifically, Figure 4 As shown, the elliptical area is the core distribution information of the reservoir type. It can be seen from the core distribution information in the third coordinate system in the figure that the reservoir core distribution information is the coordinate area corresponding to the lower first rock physical parameter (transverse wave impedance) and the second rock physical parameter (longitudinal wave impedance), and there is no non-reservoir core distribution information in the coordinate area corresponding to the lower first rock physical parameter and the second rock physical parameter. The reservoir core distribution information and the non-reservoir core distribution information meet the preset reservoir sensitivity conditions. The first rock physical parameter and the second rock physical parameter with lower parameter values ​​can clearly distinguish the reservoir core from the non-reservoir core, so that the first rock physical elastic parameter and the second rock physical elastic parameter can be determined as the reservoir sensitive parameters corresponding to the target layer.

[0069] The technical solution of the embodiment of the present invention is 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 two rock physical elastic parameters; based on the core distribution information, it is determined whether each two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer, so as to accurately determine the reservoir sensitive parameters in the target layer of the exploration area, and further improve the accuracy of seismic reservoir prediction.

[0070] Embodiment 3

[0071] Figure 5 This is a schematic diagram of the structure of a reservoir sensitive parameter determination device provided in the third embodiment of the present invention. Figure 5 As shown, the device includes: a core sample acquisition module 310, a parameter 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 multiple core samples of the target layer in the exploration area, each core sample corresponding to a different porosity;

[0073] The parameter test module 320 is used to perform rock physical parameter test at different saturations on each core sample based on a seismic source with the same frequency as the seismic wave, and obtain the longitudinal wave velocity and the transverse wave velocity corresponding to each group of tests;

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

[0075] The sensitive parameter determination module 340 is used to determine 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.

[0076] The technical solution of this embodiment is to obtain multiple core samples of the target layer in the exploration area, each core sample corresponds to a different porosity; based on the seismic source with the same frequency as the seismic wave, perform rock physical parameter experimental tests at different saturations on each core sample, so as to obtain the P-wave velocity and S-wave velocity corresponding to each group of tests at the seismic wave frequency. Based on the P-wave velocity and S-wave velocity corresponding to each group of tests and the core density information, the parameter value of each rock physical elastic parameter corresponding to each group of tests is determined; based on the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests, the reservoir sensitive parameters corresponding to the target layer are determined from each rock physical elastic parameter, so that the experimental test is performed using the seismic source with the same frequency as the seismic wave, which can reduce the determination error of the reservoir sensitive parameters caused by the difference between the seismic wave frequency and the test frequency, and then obtain the reservoir sensitive parameters that are more matched with the seismic prediction results, effectively ensure the accuracy of the determination of the reservoir sensitive parameters, and then effectively improve the accuracy of seismic reservoir prediction.

[0077] Optionally, the parameter test module 320 includes:

[0078] A core sample acquisition unit is used to perform oil-containing fluid displacement on each core sample based on a preset saturation change to obtain a core sample at each oil saturation;

[0079] The wave velocity acquisition unit is used to perform rock physical parameter experimental tests on core samples at each oil saturation based on a seismic source with the same frequency as the seismic wave, and obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests.

[0080] Optionally, the wave speed acquisition unit includes:

[0081] The physical parameter test subunit is used for conducting a rock physical parameter experimental test on a core sample at each oil saturation by applying a seismic source having the same frequency as the seismic wave to the core sample, on which a transverse strain gauge and a longitudinal strain gauge are attached;

[0082] A strain amount acquisition subunit, used to acquire 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 determination subunit is used to determine the longitudinal wave velocity and the transverse wave velocity corresponding to the core sample based on the transverse strain amount and the longitudinal strain amount.

[0084] Optionally, the sensitive parameter determination module 340 includes:

[0085] A core distribution information determination unit is used to intersect two rock physical elastic parameters based on the parameter values ​​of each rock physical elastic parameter corresponding to each group of tests, and obtain core distribution information corresponding to each two rock physical elastic parameters;

[0086] The sensitive parameter determination unit is used to determine whether every two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer based on the core distribution information.

[0087] Optionally, the core distribution information determination unit is specifically used to: for every two rock physical elastic parameters, construct 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; 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, determine the core distribution information in the coordinate system.

[0088] Optionally, the sensitive parameter determination unit is specifically used to: determine the reservoir core distribution information and the non-reservoir core distribution information based on the core distribution information; if the reservoir core distribution information and the non-reservoir core distribution information meet the preset reservoir sensitivity condition, then determine the first rock physical elastic parameter and the second rock physical elastic parameter as the reservoir sensitive parameters corresponding to the target layer.

[0089] Optionally, the device further comprises:

[0090] A logging curve determination unit is used to perform frequency reduction correction on the logging data based on the parameter values ​​of the reservoir sensitive parameters corresponding to each group of tests after determining the reservoir sensitive parameters corresponding to the target layer from the various rock physical elastic parameters to obtain a corrected logging curve;

[0091] A parameter value determination unit, used for performing well-seismic combined pre-stack inversion based on the test curve to obtain parameter values ​​of reservoir sensitive parameters in the entire exploration area;

[0092] The reservoir position prediction unit is used to predict the reservoir position in the entire exploration area based on the parameter values ​​of the reservoir sensitive parameters in the entire area.

[0093] The Internet of Vehicles data synchronization device provided in the embodiment of the present invention can execute the Internet of Vehicles data synchronization method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0094] Figure 6A schematic diagram of the structure of an electronic device 12 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 desktop computers, workstations, servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, 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.

[0095] like Figure 6 As shown, the electronic device 12 is 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, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

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

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

[0098] The 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. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 6 not shown, usually called a "hard drive"). Although Figure 6Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0099] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0100] The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), may communicate with one or more devices that enable a user to interact with the electronic device 12, and / or may communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the electronic device 12 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 via a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0101] The processing unit 16 executes various functional applications and data processing by running the program stored in the system memory 28, for example, implementing a reservoir sensitivity parameter determination method provided in the embodiment of the present invention, the method comprising:

[0102] Obtain multiple core samples of the target layer in the exploration area, each core sample corresponding to a different porosity;

[0103] Based on the seismic source with the same frequency as the seismic wave, the rock physical parameters of each core sample are tested at different saturations to obtain the corresponding longitudinal wave velocity and shear wave velocity for each group of tests;

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

[0105] Based on the parameter values ​​of the respective rock physical elastic parameters corresponding to the respective test groups, the reservoir sensitivity parameters corresponding to the target layer are determined from the respective rock physical elastic parameters.

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

[0107] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the reservoir sensitivity parameter determination method provided in any embodiment of the present invention are implemented. The method includes:

[0108] Obtain multiple core samples of the target layer in the exploration area, each core sample corresponding to a different porosity;

[0109] Based on the seismic source with the same frequency as the seismic wave, the rock physical parameters of each core sample are tested at different saturations to obtain the corresponding longitudinal wave velocity and shear wave velocity for each group of tests;

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

[0111] Based on the parameter values ​​of the respective rock physical elastic parameters corresponding to the respective test groups, the reservoir sensitivity parameters corresponding to the target layer are determined from the respective rock physical elastic parameters.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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).

[0116] 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.

[0117] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for determining reservoir sensitive parameters, characterized in that: include: Obtain multiple core samples of the target layer in the exploration area, each core sample corresponding to a different porosity; Based on the seismic source with the same frequency as the seismic wave, the rock physical parameters of each core sample are tested at different saturations to obtain the corresponding longitudinal wave velocity and shear wave velocity for each group of tests; Determine the parameter value of each rock physical elastic parameter corresponding to each set of tests based on the P-wave velocity and S-wave velocity and core density information corresponding to each set of tests; Based on the parameter values ​​of the respective rock physical elastic parameters corresponding to the respective test groups, the reservoir sensitivity parameters corresponding to the target layer are determined from the respective rock physical elastic parameters.

2. The method according to claim 1, characterized in that Based on the seismic source with the same frequency as the seismic wave, the rock physical parameter experimental test is performed on each core sample at different saturations to obtain the longitudinal wave velocity and the transverse wave velocity corresponding to each group of tests, including: Based on the preset saturation change, each core sample is displaced with oil-containing fluid to obtain a core sample at each oil saturation; Based on the earthquake source with the same frequency as the seismic wave, the rock physical parameter experimental test is carried out on the core samples at each oil saturation to obtain the corresponding longitudinal wave velocity and shear wave velocity of each group of tests.

3. The method according to claim 2, characterized in that The rock physical parameter experimental test is performed on the core sample at each oil saturation based on the seismic source with the same frequency as the seismic wave to obtain the longitudinal wave velocity and the transverse wave velocity corresponding to each group of tests, including: For each core sample at each oil saturation, a seismic source with the same frequency as the seismic wave is applied to the core sample to conduct experimental testing of rock physical parameters. The core sample is attached with a transverse strain gauge and a longitudinal strain gauge; Obtaining a transverse strain amount corresponding to the transverse strain gauge and a longitudinal strain amount corresponding to the longitudinal strain gauge; Based on the transverse strain amount and the longitudinal strain amount, the longitudinal wave velocity and the transverse wave velocity corresponding to the core sample are determined.

4. The method according to claim 1, characterized in that: The step of determining the reservoir sensitivity parameter corresponding to the target layer from the rock physical elastic parameters based on the parameter values ​​of the rock physical elastic parameters corresponding to the test groups 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 two rock physical elastic parameters; Based on the core distribution information, it is determined whether every two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer.

5. The method according to claim 4, characterized in that The parameter values ​​of each rock physical elastic parameter corresponding to each group of tests are intersected with each other to obtain the core distribution information corresponding to each two rock physical elastic parameters, including: For every two rock physical elastic parameters, a coordinate system is constructed 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 parameter values ​​of the second rock physical elastic parameter corresponding to each group of tests, the core distribution information in the coordinate system is determined.

6. The method according to claim 4, characterized in that The determining, based on the core distribution information, whether each two rock physical elastic parameters are reservoir sensitive parameters corresponding to the target layer includes: Based on the core distribution information, determine reservoir core distribution information and non-reservoir core distribution information; If the reservoir core distribution information and the non-reservoir core distribution information meet the preset reservoir sensitivity condition, the first rock physical elastic parameter and the second rock physical elastic parameter are determined as reservoir sensitivity parameters corresponding to the target layer.

7. The method according to any one of claims 1 to 6, characterized in that: After determining the reservoir sensitivity parameters corresponding to the target layer from various rock physical elastic parameters, the method further includes: Based on the parameter values ​​of the reservoir sensitive parameters corresponding to each group of tests, the logging data is down-corrected to obtain the corrected logging curve; Based on the test curve, a well-seismic combined pre-stack inversion is performed to obtain parameter values ​​of reservoir sensitive parameters in the entire exploration area; Based on the parameter values ​​of reservoir sensitive parameters in the entire area, the reservoir location in the entire exploration area is predicted.

8. A reservoir sensitive parameter determination device, characterized in that: include: The core sample acquisition module is used to obtain multiple core samples of the target layer in the exploration area, and each core sample corresponds to a different porosity; The parameter experimental test module is used to perform rock physical parameter experimental tests at different saturations on each core sample based on a source with the same frequency as the seismic wave, and obtain the longitudinal wave velocity and transverse wave velocity corresponding to each group of tests; An elastic parameter value determination module, used to determine the parameter value of each rock physical elastic parameter corresponding to each group of tests based on the P-wave velocity and S-wave velocity and core density information corresponding to each group of tests; The sensitive parameter determination module is used to determine 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.

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 perform the reservoir sensitivity parameter determination method according to any one of claims 1 to 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 sensitivity parameter determination method according to any one of claims 1 to 7 when executed.

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