Method and device for evaluating packing capacity of interlayer

Abstract

The invention discloses a method and a device for evaluating the packing capacity of an interlayer. The method comprises the following steps: identifying lithologic and physical interlayer rock samples based on rock core observation data and experimental data of rock samples in an oil reservoir, screening interlayer sensitive curves according to logging curve characteristics of the lithologic and physical interlayer rock samples, and establishing a logging identification template; the method comprises the following steps: identifying lithologic and physical interlayers from a single well by using a logging identification template, establishing an interlayer geologic model, and counting characterization parameter data of various interlayers; and according to the characterization parameter data of various interlayers, in combination with oil reservoir physical property parameters, fluid parameters and design well pattern data, the packing capacity of each parameter on each type of interlayers is determined by establishing different-scale dynamic models corresponding to the parameters of each type of interlayers and a gas displacement oil extraction dynamic simulation method. The method can effectively and quickly evaluate the packing capabilities of different types of interlayers, and has important reference significance for formulating an oil reservoir gas injection development strategy.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas field development, and in particular to a method and a device for evaluating the isolation capability of an interlayer. Background Art

[0002] The discontinuous interlayer and intralayer interlayers in the reservoir divide the reservoir into several unconnected or semi-connected flow units, reduce the vertical permeability, reduce the scale of the oil layer, and usually form a complex seepage barrier in the oil layer. For continental low-permeability sandstone reservoirs, the rapid changes in the sedimentary environment and the strong diagenesis lead to complex reservoir structures, and the distribution law and lateral prediction of interlayers are difficult, which enhances the heterogeneity of the reservoir. At present, the research on interlayers has been mainly carried out from the 1990s to the present, mainly through seismic, logging, core and production dynamic data, combined with statistical methods to classify the types, formation mechanisms, identification methods, hierarchical structures and distribution laws of interlayers. From qualitative to quantitative in-depth characterization research, fruitful results have been achieved, providing an important basis for the development and adjustment of oil and gas fields. When the oil field enters the middle and late production stage, that is, the high water content period, CO2 injection to enhance recovery has become one of the main technologies today.

[0003] Due to the existence of different types of interlayers in low permeability reservoirs, the vertical and horizontal sweep area of ​​CO2 is greatly reduced, and the fluid flow channel becomes tortuous and complex. It is generally believed that the physical properties of the interlayers are poor, which in turn acts as a barrier to the migration and pressure propagation of the fluid. However, some studies and oil field development processes have proved that when CO2 is injected into the reservoir, the interlayers have an overlying effect due to the effects of pressure and temperature, resulting in CO2 leakage from the interlayers.

[0004] Especially for low permeability sandstone reservoirs, the rationality of the evaluation of the isolation capacity of interlayers provides an important basis for the correct formulation of development strategies. However, the evaluation of the isolation capacity of interlayers in low permeability sandstone reservoirs currently mainly relies on core breakthrough pressure experiments under different saturated fluid conditions. Summary of the invention

[0005] The inventors found that the existing method of evaluating the sealing capacity of interlayers in low permeability sandstone reservoirs by relying on core breakthrough pressure experiments only considers the reservoir physical properties and the characteristics of different saturated fluids, ignoring the important parameters affecting the sealing capacity of interlayers during CO2 injection, such as the type, thickness, area, morphology and continuity of interlayers; and the experimental costs are high and the research efficiency is low. Therefore, it is urgent to study a new method for evaluating the sealing capacity of interlayers to quickly evaluate the sealing capacity of interlayers during gas drive production in oil reservoirs, and provide an important reference for the formulation and adjustment of oil reservoir development plans.

[0006] In order to at least partially solve the technical problems existing in the prior art, the inventors have made the present invention, and through a specific implementation method, provide a method and device for evaluating the isolation capacity of interlayers, which can quickly evaluate the isolation capacity of interlayers during gas drive production in oil reservoirs, and provide an important reference basis for the formulation and adjustment of oil reservoir gas drive development plans.

[0007] In a first aspect, an embodiment of the present invention provides a method for evaluating the isolation capacity of an interlayer, comprising:

[0008] Based on the core observation data and experimental data of rock samples in the reservoir, the lithologic interlayer samples and physical interlayer samples are identified. According to the logging curve characteristics of the lithologic interlayer samples and physical interlayer samples, the interlayer sensitivity curve is screened, and the logging identification template of the lithologic and physical interlayer is established;

[0009] According to the sensitivity curves of each well in the oil reservoir, using the well logging identification template, identifying lithological interlayers and physical interlayers from a single well, establishing an interlayer geological model based on the interlayer identification results of the single well, and statistically analyzing the characterization parameter data of various interlayers based on the interlayer geological model;

[0010] According to the characterization parameter data of various interlayers, combined with the reservoir physical parameters, fluid parameters and designed well pattern data, by establishing dynamic models of different scales corresponding to the parameters of each type of interlayer and a method of gas displacement oil production dynamic simulation, the isolation capacity of each parameter for each type of interlayer is determined.

[0011] In a second aspect, an embodiment of the present invention provides a device for evaluating the isolation capacity of an interlayer, comprising:

[0012] The logging identification template establishment module is used to identify lithologic interlayer samples and physical interlayer samples based on core observation data and experimental data of rock samples in the reservoir, screen interlayer sensitivity curves according to the logging curve characteristics of lithologic interlayer samples and physical interlayer samples, and establish logging identification templates for lithologic and physical interlayers;

[0013] The interlayer geological model establishment module is used to identify lithological interlayers and physical interlayers from a single well according to the sensitivity curves of each well in the oil reservoir and the well logging identification template, establish an interlayer geological model based on the interlayer identification results of the single well, and statistically analyze the characterization parameter data of various interlayers based on the interlayer geological model;

[0014] The isolation capacity evaluation module of the interlayer is used to determine the isolation capacity of each parameter for each type of interlayer by establishing dynamic models of different scales corresponding to each parameter of each type of interlayer and a method of gas displacement oil production dynamic simulation based on the characterization parameter data of each type of interlayer, combined with the reservoir physical parameters, fluid parameters and designed well network data.

[0015] In a third aspect, an embodiment of the present invention provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and when the computer executable instructions are executed by a processor, the above-mentioned interlayer isolation capacity evaluation method is implemented.

[0016] In a fourth aspect, an embodiment of the present disclosure provides a server, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned interlayer isolation capacity evaluation method when executing the program.

[0017] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0018] The method for evaluating the isolation capacity of interlayers provided in the embodiment of the present invention first identifies lithologic interlayer samples and physical interlayer samples based on core observation data and experimental data, and establishes logging identification templates for lithologic and physical interlayers; uses the logging identification template to identify lithologic interlayers and physical interlayers from a single well, and establishes an interlayer geological model; based on the interlayer geological model, statistically characterizes parameter data of various interlayers in the reservoir, combines reservoir physical parameters and fluid parameters and designed well network data, and establishes dynamic models of different scales corresponding to various parameters of each type of interlayer and a method for dynamic simulation of gas displacement oil production, to determine the isolation capacity of each parameter for each type of interlayer. The method introduces the characterization parameter data of various types of interlayers into the dynamic model, and establishes a heterogeneous dynamic model containing various scales. The model is closer to the real reservoir attribute changes under the control of geological concepts. Through the dynamic simulation results of gas displacement oil production of various scale models, the isolation capacity of different types of interlayers in the gas drive process can be quickly evaluated, which has important reference value for the formulation and adjustment of development plans during gas injection development of oil reservoirs.

[0019] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0020] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0022] Figure 1 It is a flow chart of the method for evaluating the isolation capacity of interlayer in an embodiment of the present invention;

[0023] Figure 2 This is a microscopic characteristic plate of a rock sample of a certain lithologic interlayer in an embodiment of the present invention, wherein A: single-piece light characteristic; B: orthogonal polarization characteristic; C: SEM characteristic; D: FE-EDS analysis result of lithologic interlayer, see position C;

[0024] Figure 3 for Figure 1 Specific implementation flow chart of step S12;

[0025] Figure 4 This is a distribution characteristic diagram of the physical property parameters of the lithology and physical property interlayer in the embodiment of the present invention;

[0026] Figure 5 Schematic diagram of well-connected interlayer section (a) and interlayer identification result (b) in an embodiment of the present invention;

[0027] Figure 6 It is a schematic diagram of the structure of the interlayer isolation capacity evaluation device in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0029] It should be understood that the terms described in the present invention are only for describing a particular embodiment and are not intended to limit the present invention. In addition, for the numerical range in the present invention, it should be understood that each intermediate value between the upper and lower limits of the range is also specifically disclosed. Each smaller range between the intermediate value in any stated value or stated range and any other stated value or intermediate value in the range is also included in the present invention. The upper and lower limits of these smaller ranges may be independently included or excluded in the scope. Unless otherwise indicated, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which the present invention belongs.

[0030] Example

[0031] The embodiment of the present invention provides a method for evaluating the sealing capacity of interlayers. Taking the Y low permeability reservoir as an example, the Y reservoir is a continental delta-deep lake sedimentary system. The reservoir mainly develops three sets of oil layers, and interlayers develop frequently. The average thickness of the reservoir is 2m, the lithology is mainly siltstone, containing a small amount of muddy siltstone and fine sandstone, the burial depth is 1640-2400m, the porosity is 11.69%-15.97%, and the permeability is 0.09×10-3-4.48×10 -3 μm 2The reservoir has complex pore throat structure, diverse pore types and strong heterogeneity. Figure 1 As shown in Figure 1, the evaluation process of the interlayer isolation capacity includes the following steps:

[0032] Step S11: Based on the core observation data and experimental data of the rock samples in the oil reservoir, identify the lithologic interlayer rock samples and the physical interlayer rock samples.

[0033] Based on the petrological characteristics of interlayer rock samples in the reservoir, combined with physical property test data and X-ray diffraction analysis, lithological interlayer rock samples and physical interlayer rock samples are identified.

[0034] Among them, petrological characteristics are mainly obtained through core observation, thin section analysis, etc.

[0035] For example, the different types of interlayers and their characteristics in the Y low permeability reservoir are as follows:

[0036] Lithologic interlayers, or muddy interlayers (lithologic interlayers in other reservoirs may also be calcareous interlayers or interlayers of other lithologies), mainly include mudstone, muddy siltstone, muddy siltstone and silty mudstone. The rock structure is muddy, and horizontal stratification is visible ( Figure 2 A and B in the figure). The mineral composition is mainly muddy, and the clay mineral is mainly illite ( Figure 2 C and D in the figure); debris accounts for about 33%, and the debris mainly composed of quartz and feldspar is scattered in the matrix, with a particle size of 0.02-0.1 mm, good sorting, and most of the debris is sub-angular-sub-rounded, with medium roundness. The debris is mainly composed of single crystal quartz. The physical properties of the lithological interlayer are very poor, and it is basically non-permeable. The physical property test results show that the porosity is between 1% and 7%, and the permeability is between 0 and 0.02×10 -3 μm 2 The average is 0.005×10 -3 μm 2 .

[0037] Physical interlayers are mainly developed in reservoirs. They are thin sand layers with increased mud content, finer lithology, and worse physical properties. The lithology is mainly mud siltstone and siltstone, the rock structure is mud silt sand structure, and the clay minerals are mainly illite; debris accounts for about 51% of the rock, and the debris mainly composed of quartz and feldspar are scattered in the matrix. The particle size is mainly 0.02-0.2mm, and the sorting is good. The debris is mostly sub-angular-sub-circular, with medium roundness, and the debris composition is mainly single crystal quartz. Scanning electron microscope images also show that the physical properties of this type of interlayer are significantly different from those of normal reservoir sections. The physical property test results of physical interlayers show that the porosity is less than 12%, and the permeability is between 0.02 and 0.05×10 -3 μm 2 between.

[0038] Step S12: According to the logging curve characteristics of the lithologic interlayer rock samples and the physical interlayer rock samples, the interlayer sensitivity curves are screened to establish the logging identification templates of the lithologic interlayer and the physical interlayer.

[0039] Reference Figure 3 As shown, step S12 includes:

[0040] Step S121: normalization processing of logging curves.

[0041] The conventional logging curves in the reservoir, such as GR (natural gamma), SP (spontaneous potential), Vsh (shale content), RHOB (density) and RT (resistivity), are normalized.

[0042] Since the geological response characteristics of interlayers in the original logging curve are often not very obvious, the logging curve value after normalization is strictly controlled between 0 and 1, which is a dimensionless relative value, making the logging response of interlayers more obvious. In addition, on the one hand, it can also eliminate the influence of different dimensions of new and old logging data, or logging data obtained by different logging instruments; on the other hand, it allows different types of logging curve values ​​to be compared and calculated, which is convenient for comparison and identification of hidden interlayers.

[0043] Step S122: According to the interlayer type and logging curve characteristics of the rock sample, sensitive logging curves of the interlayer are selected.

[0044] Step S123: draw a multi-parameter cross-plot of the sensitivity curve, and establish a logging identification template for lithologic and physical interlayers according to the distribution range of lithologic interlayers and the distribution range of physical interlayers in the cross-plot.

[0045] By integrating various sensitivity curves, which may include lithology, electrical and physical (POR, PERM) logging curves, a multi-parameter cross-plot of sensitivity curves is drawn. Based on the sensitive characteristics of cores with different types of interlayers in the reservoir on various sensitivity curves, the distribution range of lithology interlayers in the cross-plot and the distribution range of physical interlayers in the cross-plot are determined, and finally a logging identification template for lithology and physical interlayers in the reservoir is established.

[0046] Step S13: According to the sensitivity curves of each well in the reservoir, using the well logging identification template, identify the lithologic interlayers and physical interlayers from a single well, and establish an interlayer geological model based on the interlayer identification results of the single well.

[0047] The logging recognition template is applied to the non-coring section of the coring well and the identification and division of the interlayers in the non-coring well to complete the single well identification of lithological interlayers and physical interlayers.

[0048] For example, the logging response of the physical interlayer in the reservoir is relatively high in GR, SP, RHOB and VSH, but slightly higher than that of the lithological interlayer. The physical interlayer has low oil saturation and low RT value, which is just one order of magnitude less than the oil layer; the physical interlayer has a certain permeability, but it is lower than the lower limit of the physical property. The Por of the physical interlayer varies greatly, and the Perm is significantly higher than that of the lithological interlayer, but it is less than 0.1×10 -3 μm 2 range, keep consistent with the physical property test data range ( Figure 4 ). The logging response curve of the lithologic interlayer changes significantly. GR, RHOB and VSH respond better to the mud component, showing a high peak value, and the response increases compared with the physical interlayer section. SP is close to the mudstone baseline, RT is low and has a small amplitude, and POR and PERM are almost zero ( Figure 4 ).

[0049] Based on the single well identification of lithologic interlayers and physical interlayers, multiple interlayer well-connected profiles are established according to the single well interlayer identification results. Figure 5 As shown, a total of 16 interlayers were identified in the well section in the figure.

[0050] On each well-connected interlayer section, lithologic interlayers can be divided into lithologic interlayers and lithologic interlayers, and physical interlayers can be divided into physical interlayers and physical interlayers according to the length distribution characteristics of the interlayers in the well-connected interlayer section.

[0051] Furthermore, the interlayer can be distinguished as an interlayer or an interlayer according to whether the length of the interlayer reaches a set threshold; or the interlayer can be distinguished as an interlayer or an interlayer according to whether the length of the interlayer reaches other standards without using a specific quantitative method, for example:

[0052] In the well-connected interlayer section, the lithologic interlayers that span two wells are classified as lithologic interlayers, and the physical interlayers are classified as physical interlayers; the lithologic interlayers that span only one well or are distributed between wells are classified as lithologic interlayers, and the physical interlayers are classified as physical interlayers.

[0053] Through the above steps, the types of interlayers developed in each well-connected interlayer section are calibrated. First, based on the characteristics of the well logging curve, the lithologic interlayers and physical interlayers are identified; then, based on the length distribution characteristics of the interlayers in the well-connected section, the lithologic interlayers are divided into lithologic interlayers and lithologic interlayers, and the physical interlayers are divided into physical interlayers and physical interlayers. Finally, the interlayers in the well-connected interlayer section are marked as lithologic interlayers, lithologic interlayers, physical interlayers, or physical interlayers. The combination of the well-connected sections of each interlayer results in the interlayer geological model.

[0054] Step S14: Based on the interlayer geological model, statistically characterize parameter data of various interlayers.

[0055] Based on the well-connected interlayer section in the interlayer geological model, the high-resolution image processing method is used to perform image segmentation to obtain the interlayers developed therein, and the thickness, length and dip angle of each interlayer are determined; the thickness data, length data and dip angle data of each type of interlayer are statistically obtained, as shown in Table 1:

[0056] Table 1 Statistical table of quantitative characterization parameters of interlayers in Y reservoir

[0057]

[0058] Step S15: Based on the characterization parameter data of various interlayers, combined with reservoir physical parameters, fluid parameters and designed well pattern data, dynamic models of different scales corresponding to the parameters of each type of interlayer and a method of gas displacement oil production dynamic simulation are established to determine the isolation capacity of each parameter for each type of interlayer.

[0059] The types of interlayers developed in the reservoir include: physical interlayers, lithological interlayers, physical interlayers and lithological interlayers. Lithological interlayers / interlayers include mud and calcareous interlayers / interlayers.

[0060] In this embodiment, a dynamic model is established based on the characterization parameter data of the above-mentioned various interlayers. The model is a five-point well network with one injection and one production. The number of grids in the X and Y directions is 40, and the number of grids in the Z direction is 19. The grids 1 to 4 in the Z direction are set as oil layers, 5 to 7 as interlayers, 8 to 11 as oil layers, 12 to 14 as interlayers, and 15 to 19 as oil layers. The grid step lengths in the X and Y directions are 4.5 m respectively, and the grid step length in the Z direction for oil layers is 1 m. The porosity of the oil layer is set to 15%, and the permeability is set to 5×10 -3 μm 2 The formation pressure in the model is set to the actual reservoir pressure of 17 MPa and the temperature is 90°C.

[0061] According to the characterization parameter data, the porosity of the physical interlayer is set at 5% and the permeability is set at 0.05×10 -3 μm 2 , while the porosity of the lithologic interlayer is set at 3% and the permeability is set at 0.005×10 -3 μm 2 .

[0062] The parameters related to the fluid in the reservoir in the model are mainly based on the basic parameters of the reservoir, including: ① The water density under ground conditions is 1.0 g / cm 3 ; ② The viscosity of formation water under original reservoir conditions is 0.55 mPa·s; ③ The compressibility coefficient of formation water under original reservoir conditions is 2.3×10 -6 MPa -1; ④ The volume coefficient of formation water under original reservoir conditions is 1.01; ⑤ The diffusion coefficient of CO2 in formation water is 1.59×10 -7 m 2 / s; ⑥ Diffusion coefficient of CO2 in crude oil: 9.69×10 -7 m 2 / s; ⑦The mass transfer coefficient of CO2 in the gas phase is 1.27×10 -6 m 2 / s.

[0063] In addition to the physical properties of interlayers, different types of interlayers have different isolation capabilities under different parameters such as thickness and plane distribution during CO2 flooding. In this example, the isolation capabilities of different types of interlayers and barriers were evaluated when CO2 flooding was carried out for 10 years.

[0064] In this embodiment, the selected parameter range is based on the characterization parameter data of different types of interlayers: for example, the thickness of the physical interlayer is selected to be 0.3 to 4.5 m; the thickness of the lithological interlayer is selected to be 0.3 to 3.3 m; the thickness of the physical interlayer is selected to be 0.3 to 4.5 m; the thickness of the lithological interlayer is selected to be 0.3 to 4.5 m; (based on the minimum thickness of the interlayer characterization parameters being around 0.3 m, and the maximum thickness being 17 or 18 m, so only from 0.3 m to the effective isolation thickness); the length of the physical and lithological interlayers is within 250 m, and the separation points are 45 m, 90 m and 135 m.

[0065] Interlayer sealing capacity test:

[0066] (1) Physical barrier

[0067] When the thickness of the physical barrier in the reservoir is 0.3m, the barrier has a slight effect on the diffusion of CO2 before CO2 breaks through. When CO2 is flooded for 10 years, the barrier has no sealing effect. When the thickness of the physical barrier is between 0.9 and 3.3m, the physical barrier limits the longitudinal diffusion of CO2. When CO2 is flooded for 10 years, CO2 diffuses longitudinally at the upper and lower ends of the physical barrier of this thickness, and CO2 escapes from the barrier near the production well. When the thickness of the physical barrier is close to 4m, CO2 is distributed in a relatively stable range for a long time. After 10 years of CO2 breakthrough or displacement, CO2 enters smaller pore throats in the upper and lower sections of the barrier, thinning the effective barrier thickness and playing a sealing role between layers.

[0068] (2) Lithologic barriers

[0069] When the thickness is 0.3m, the lithologic barrier cannot play a sealing role after CO2 breakthrough or gas injection for 10 years; when the thickness of the lithologic barrier is 0.9m, before gas is seen in the production well, the gas mainly diffuses laterally along the lower part of the barrier and enters smaller pores of the barrier to diffuse upward, but does not escape the entire barrier; when the gas injection time is 10 years, the gas diffuses further upward, resulting in the lower barrier being unable to play a sealing role; when the thickness of the lithologic barrier is 1.5m, gas is seen in the production well and the gas injection time is 10 years, and the entire set of barriers is still in a closed caprock role; similarly, when the thickness of the lithologic barrier is 2.1m, 2.7m and 3.3m respectively, with the continuous diffusion of CO2, CO2 enters smaller pore throats in the upper and lower sections of the barrier, and it can be seen that the barrier has become thinner, but it has played a sealing role in interlayer gas channeling.

[0070] Interlayer isolation capability evaluation:

[0071] Two stable interlayers of the same thickness were set with lengths of 45m, 90m and 135m respectively, and CO2 flooding was simulated for 10 years to observe the isolation capacity of the interlayer for CO2 flooding.

[0072] (1) Physical properties of interlayer

[0073] For the physical interlayers with lengths of 45m, 90m and 135m (thickness between 0.9m and 4.5m), due to the CO2 gravity overburden effect and the existence of top permeability in the interlayer, with the injection of CO2, the upper jacket interlayer in the thinner (0.9m) interlayer leaks first. When the thickness of the physical interlayer is greater than 2m, with the continuous increase of the CO2 injection amount, the interlayer leaks first in the injection section direction, and the CO2 in the oil layer under the interlayer diffuses evenly, preventing the longitudinal diffusion of CO2, playing the role of isolation and gravity overburden. The larger the area (length 135m), the more effective it is in alleviating the early gas appearance of the production well.

[0074] (2) Lithologic interlayer

[0075] For the lithologic interlayers with lengths of 45m, 90m, and 135m, similar to the physical interlayer phenomenon, when the thickness of the lithologic interlayer is greater than 1.5m, although the gas injection well section C of the interlayer O2 Leakage, but overall limit the CO2 gravity overburden effect, while the relatively uniform diffusion in the oil layer, significantly prevent the vertical diffusion of CO2.

[0076] The method for evaluating the isolation capacity of interlayers provided in the embodiment of the present invention first identifies lithologic interlayer samples and physical interlayer samples based on core observation data and experimental data, and establishes logging identification templates for lithologic and physical interlayers; uses the logging identification template to identify lithologic interlayers and physical interlayers from a single well, and establishes an interlayer geological model; based on the interlayer geological model, statistically characterizes parameter data of various interlayers in the reservoir, combines reservoir physical parameters and fluid parameters and designed well network data, and establishes dynamic models of different scales corresponding to various parameters of each type of interlayer and a method for dynamic simulation of gas displacement oil production, to determine the isolation capacity of each parameter for each type of interlayer. The method introduces the characterization parameter data of various types of interlayers into the dynamic model, and establishes a heterogeneous dynamic model containing various scales. The model is closer to the real reservoir attribute changes under the control of geological concepts. Through the dynamic simulation results of gas displacement oil production of various scale models, the isolation capacity of different types of interlayers in the gas drive process can be quickly evaluated, which has important reference value for the formulation and adjustment of development plans during gas injection development of oil reservoirs.

[0077] Based on the inventive concept of the present invention, an embodiment of the present invention further provides a device for evaluating the isolation capacity of an interlayer. The structure of the device is as follows: Figure 6 As shown, including:

[0078] The logging identification template establishment module 61 is used to identify the lithologic interlayer rock samples and the physical interlayer rock samples based on the core observation data and experimental data of the rock samples in the oil reservoir, screen the interlayer sensitivity curve according to the logging curve characteristics of the lithologic interlayer rock samples and the physical interlayer rock samples, and establish the logging identification template of the lithologic interlayer rock samples and the physical interlayer rock samples;

[0079] The interlayer geological model building module 62 is used to identify lithological interlayers and physical interlayers from a single well according to the sensitivity curves of each well in the oil reservoir and using the well logging identification template, establish an interlayer geological model based on the interlayer identification results of the single well, and statistically analyze the characterization parameter data of various interlayers based on the interlayer geological model;

[0080] The isolation capacity evaluation module 63 of the interlayer is used to determine the isolation capacity of each parameter for each type of interlayer by establishing dynamic models of different scales corresponding to each parameter of each type of interlayer and a method of gas displacement oil production dynamic simulation based on the characterization parameter data of each type of interlayer, in combination with the reservoir physical parameters, fluid parameters and designed well network data.

[0081] In some embodiments, the logging identification template establishment module 61, based on the core observation data and experimental data of the rock samples in the reservoir, identifies the lithology interlayer rock samples and the physical property interlayer rock samples, for:

[0082] Based on the petrological characteristics of rock samples in the reservoir, combined with physical property test data and X-ray diffraction analysis, lithological interlayer rock samples and physical interlayer rock samples are identified.

[0083] In some embodiments, the logging identification template establishment module 61, which establishes the logging identification template of the lithology and physical property interlayer, is used to:

[0084] A multi-parameter cross-plot of the sensitivity curve is drawn, and a logging identification template for the lithology and physical properties interlayers is established according to the distribution range of the lithology interlayers and the distribution range of the physical properties interlayers in the cross-plot.

[0085] In some embodiments, the interlayer geological model building module 62, which builds the interlayer geological model based on the single well interlayer identification result, is used to:

[0086] Based on the identification results of single well interlayers, multiple interlayer connecting well profiles are established to obtain the interlayer geological model.

[0087] In some embodiments, the interlayer geological model building module 62, after building multiple interlayer well-connected profiles according to the interlayer identification results of a single well, is further used to:

[0088] According to the length distribution characteristics of interlayers in the well-connected interlayer section, lithologic interlayers are divided into lithologic interlayers and lithologic interlayers, and physical interlayers are divided into physical interlayers and physical interlayers.

[0089] In some embodiments, the interlayer geological model building module 62, after building multiple interlayer well-connected profiles according to the interlayer identification results of a single well, is further used to:

[0090] In the well-connected interlayer section, the lithologic interlayers that span two wells are classified as lithologic interlayers, and the physical interlayers are classified as physical interlayers; the lithologic interlayers that span only one well or are distributed between wells are classified as lithologic interlayers, and the physical interlayers are classified as physical interlayers.

[0091] In some embodiments, the interlayer geological model building module 62 collects statistical data of characterization parameters of various interlayers based on the interlayer geological model, for:

[0092] Based on the well-connected interlayer profile extracted from the interlayer geological model, high-resolution image processing methods are used to perform image segmentation to obtain the interlayers developed therein, and the thickness, length and inclination of each interlayer are determined; and the thickness data, length data and inclination data of each type of interlayer are statistically obtained.

[0093] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0094] Based on the inventive concept of the present invention, an embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and when the computer executable instructions are executed by a processor, the above-mentioned interlayer isolation capacity evaluation method is implemented.

[0095] Based on the inventive concept of the present invention, an embodiment of the present invention further provides a server, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned interlayer isolation capacity evaluation method when executing the program.

[0096] Unless otherwise specifically stated, terms such as processing, computing, calculating, determining, displaying, etc. may refer to the actions and / or processes of one or more processing or computing systems, or similar devices, which operate and convert data represented as physical (e.g., electronic) quantities within registers or memories of a processing system into other data similarly represented as physical quantities within memories, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals may be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0097] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of protection of the present disclosure. The attached method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0098] In the above detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that an embodiment of the claimed subject matter requires more features than those set forth in each claim. On the contrary, as reflected in the appended claims, the invention is in a state of having less than all the features of the disclosed individual embodiments. Therefore, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0099] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein can all be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above around their functions. Whether such functions are implemented as hardware or software depends on specific applications and the design constraints imposed on the entire system. A skilled person can implement the described functions in an alternative manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of the present disclosure.

[0100] The steps of the method or algorithm described in conjunction with the embodiments herein may be directly embodied as hardware, a software module executed by a processor, or a combination thereof. The software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and the storage medium may also be present in a user terminal as discrete components.

[0101] For software implementation, the techniques described in this application can be implemented with modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or outside the processor. In the latter case, it is coupled to the processor in a communication manner via various means, which are well known in the art.

[0102] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but it should be recognized by those skilled in the art that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications and variations that fall within the scope of protection of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, the word is covered in a manner similar to the term "including", just as "including," is explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to mean "non-exclusive or".

Claims

1. A method for evaluating the isolation capacity of interlayers, characterized in that: include: Based on the core observation data and experimental data of rock samples in the reservoir, the lithologic interlayer samples and physical interlayer samples are identified. According to the logging curve characteristics of the lithologic interlayer samples and physical interlayer samples, the interlayer sensitivity curve is screened, and the logging identification template of the lithologic and physical interlayer is established; According to the sensitivity curves of each well in the oil reservoir, using the well logging identification template, identifying lithological interlayers and physical interlayers from a single well, establishing an interlayer geological model based on the interlayer identification results of the single well, and statistically analyzing the characterization parameter data of various interlayers based on the interlayer geological model; According to the characterization parameter data of various interlayers, combined with the reservoir physical parameters, fluid parameters and designed well pattern data, by establishing dynamic models of different scales corresponding to the parameters of each type of interlayer and a method of gas displacement oil production dynamic simulation, the isolation capacity of each parameter for each type of interlayer is determined.

2. The method according to claim 1, characterized in that The identification of lithologic interlayer rock samples and physical interlayer rock samples based on core observation data and experimental data of rock samples in the reservoir includes: Based on the petrological characteristics of rock samples in the reservoir, combined with physical property test data and X-ray diffraction analysis, lithological interlayer rock samples and physical interlayer rock samples are identified.

3. The method according to claim 1, characterized in that The well logging identification template for establishing lithology and physical property interlayers comprises: A multi-parameter cross-plot of the sensitivity curve is drawn, and a logging identification template for the lithology and physical properties interlayers is established according to the distribution range of the lithology interlayers and the distribution range of the physical properties interlayers in the cross-plot.

4. The method according to claim 1, characterized in that: The interlayer geological model is established based on the interlayer identification result of a single well, including: Based on the identification results of single well interlayers, multiple interlayer connecting well profiles are established to obtain the interlayer geological model.

5. The method according to claim 4, characterized in that After establishing multiple well-connected interlayer profiles according to the single well interlayer identification results, the method further includes: According to the length distribution characteristics of interlayers in the well-connected interlayer section, lithologic interlayers are divided into lithologic interlayers and lithologic interlayers, and physical interlayers are divided into physical interlayers and physical interlayers.

6. The method according to claim 4, characterized in that After establishing multiple well-connected interlayer profiles according to the single well interlayer identification results, the method further includes: In the well-connected interlayer section, the lithologic interlayers that span two wells are classified as lithologic interlayers, and the physical interlayers are classified as physical interlayers; the lithologic interlayers that span only one well or are distributed between wells are classified as lithologic interlayers, and the physical interlayers are classified as physical interlayers.

7. The method according to claim 5 or 6, characterized in that: Based on the interlayer geological model, the characterization parameter data of various interlayers are counted, including: Based on the well-connected interlayer section extracted from the interlayer geological model, image segmentation is performed using a high-resolution image processing method to obtain interlayers developed therein, and the thickness, length and inclination of each interlayer are determined; The thickness data, length data and inclination data of each type of interlayer were obtained statistically.

8. The method according to any one of claims 1 to 6, characterized in that: The oil reservoir is a low permeability oil reservoir.

9. An interlayer sealing capacity evaluation device, characterized in that: The device comprises: The logging identification template establishment module is used to identify lithologic interlayer samples and physical interlayer samples based on core observation data and experimental data of rock samples in the reservoir, screen interlayer sensitivity curves according to the logging curve characteristics of lithologic interlayer samples and physical interlayer samples, and establish logging identification templates for lithologic and physical interlayers; The interlayer geological model establishment module is used to identify lithological interlayers and physical interlayers from a single well according to the sensitivity curves of each well in the oil reservoir and the well logging identification template, establish an interlayer geological model based on the interlayer identification results of the single well, and statistically analyze the characterization parameter data of various interlayers based on the interlayer geological model; The isolation capacity evaluation module of the interlayer is used to determine the isolation capacity of each parameter for each type of interlayer by establishing dynamic models of different scales corresponding to each parameter of each type of interlayer and a method of gas displacement oil production dynamic simulation based on the characterization parameter data of each type of interlayer, combined with the reservoir physical parameters, fluid parameters and designed well network data.

10. A computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, and when the computer executable instructions are executed by a processor, the method for evaluating the isolation capacity of interlayers according to any one of claims 1 to 8 is implemented.

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