Condensate oil shale gas reservoir favorable area prediction method, device, medium and electronic equipment

Abstract

The embodiments of the present application disclose a method, device, medium and electronic device for predicting favorable areas of condensate oil shale gas reservoirs. The method includes: determining target parameters based on historical data of staged fracturing horizontal wells; determining the distribution of condensate oil content using target parameters and pre-acquired geochemical analysis data, and determining the deployment direction of the horizontal section of the staged fracturing horizontal wells and the favorable strata for the longitudinal deployment of the horizontal section of the staged fracturing horizontal wells using target parameters and pre-acquired seismic data; predicting favorable areas of condensate oil shale gas reservoirs by target parameters, condensate oil content distribution, deployment direction of the horizontal section of the staged fracturing horizontal wells and the favorable strata for the longitudinal deployment of the horizontal section of the staged fracturing horizontal wells. This technical solution, by establishing a reservoir parameter evaluation system for condensate oil-rich shale gas reservoirs, realizes the prediction of favorable areas of condensate oil-rich shale gas reservoirs from three aspects: the deployment direction of the horizontal section of the staged fracturing horizontal wells, the favorable strata for the longitudinal deployment of the horizontal section and the favorable position for the plane deployment.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of oil and gas field development, and in particular to a method, device, medium and electronic equipment for predicting favorable areas of condensate oil shale gas reservoirs. Background Art

[0002] Shale gas refers to unconventional natural gas that exists mainly in adsorbed and free states. It is mainly found in organic-rich mudstone and is mainly composed of methane. It is a clean and efficient energy resource. With the depletion of conventional oil and gas, the rise in oil and gas prices, and the growth in oil and gas demand, unconventional shale gas has gradually become an important alternative energy source and a focus of development at home and abroad.

[0003] Due to the particularity of shale reservoirs, the evaluation process and the criteria for selecting favorable areas are significantly different from those of conventional reservoirs. In particular, for shale gas reservoirs rich in condensate oil, the evaluation process is different from both conventional gas reservoirs and shale dry gas reservoirs.

[0004] There is no complete set of procedures for quantitative evaluation of favorable reservoirs in condensate-rich shale gas reservoirs. Therefore, it is necessary to provide a method for predicting favorable areas in condensate-rich shale gas reservoirs. Summary of the invention

[0005] The embodiments of the present application provide a method, device, medium and electronic equipment for predicting favorable areas of condensate oil shale gas reservoirs. By establishing a reservoir parameter evaluation system for condensate oil-rich shale gas reservoirs, the prediction of favorable areas of condensate oil-rich shale gas reservoirs is achieved from three aspects: the deployment direction of the horizontal section of the staged fracturing horizontal well, the favorable layer position of the vertical deployment of the horizontal section, and the favorable position of the plane deployment.

[0006] In a first aspect, an embodiment of the present application provides a method for predicting favorable areas of condensate oil shale gas reservoirs, the method comprising:

[0007] Determine the target parameter based on the historical data of the staged fracturing horizontal well; wherein the target parameter is at least one parameter determined based on the geological parameters that affect the development effect of the staged fracturing horizontal well;

[0008] Determine the distribution of condensate content by using the target parameters and pre-acquired geochemical analysis data, and determine the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable stratum for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well by using the target parameters and pre-acquired seismic data;

[0009] The favorable area of ​​condensate shale gas reservoir is predicted by the target parameters, condensate oil content distribution, horizontal section deployment direction of staged fracturing horizontal wells and favorable strata of horizontal section longitudinal deployment of staged fracturing horizontal wells.

[0010] In a second aspect, an embodiment of the present application provides a device for predicting favorable areas of condensate oil shale gas reservoirs, the device comprising:

[0011] A target parameter determination module, used to determine the target parameter according to the historical data of the staged fracturing horizontal well; wherein the target parameter is at least one parameter determined according to the geological parameters that affect the development effect of the staged fracturing horizontal well;

[0012] A distribution feature determination module is used to determine the distribution of condensate content using the target parameters and pre-acquired geochemical analysis data, and to determine the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable layer for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well using the target parameters and pre-acquired seismic data;

[0013] The module for predicting favorable areas of condensate oil shale gas reservoirs is used to predict favorable areas of condensate oil shale gas reservoirs according to the target parameters, condensate oil content distribution, horizontal section deployment direction of staged fracturing horizontal wells, and favorable strata for vertical deployment of horizontal sections of staged fracturing horizontal wells.

[0014] In a third aspect, an embodiment of the present application provides a computer-readable medium having a computer program stored thereon, which, when executed by a processor, implements the method for predicting favorable areas of condensate oil shale gas reservoirs as described in the embodiment of the present application.

[0015] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for predicting favorable areas of condensate oil shale gas reservoirs as described in the embodiment of the present application is implemented.

[0016] The technical solution provided in the embodiment of the present application determines the target parameters based on the historical data of the staged fracturing horizontal well; wherein the target parameters are at least one parameter determined based on the geological parameters that affect the development effect of the staged fracturing horizontal well; the distribution of condensate content is determined using the target parameters and pre-acquired geochemical analysis data, and the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable strata for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well are determined using the target parameters and pre-acquired seismic data; the favorable area of ​​condensate shale gas reservoir is predicted by the target parameters, the distribution of condensate content, the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable strata for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well. The technical solution can achieve the prediction of the favorable area of ​​condensate shale gas reservoir rich in condensate by establishing a reservoir parameter evaluation system for shale gas reservoir rich in condensate, starting from the three aspects of the deployment direction of the horizontal section of the staged fracturing horizontal well, the favorable strata for the longitudinal deployment of the horizontal section and the favorable position for the plane deployment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1This is a flow chart of a method for predicting favorable areas of condensate shale gas reservoirs provided in Example 1 of the present application;

[0018] Figure 2 This is a schematic diagram of the corresponding relationship between the condensate oil content and the production volume provided in Example 1 of the present application;

[0019] Figure 3 This is a schematic diagram of the corresponding relationship between the effective thickness and the extraction volume provided in Example 1 of the present application;

[0020] Figure 4 This is a schematic diagram of the corresponding relationship between TOC content and extraction volume provided in Example 1 of the present application;

[0021] Figure 5 This is a schematic diagram of the structure of a device for predicting favorable areas of condensate oil shale gas reservoirs provided in Example 2 of the present application;

[0022] Figure 6 It is a structural schematic diagram of an electronic device provided in Example 4 of the present application. DETAILED DESCRIPTION

[0023] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only the parts related to the present application, rather than all structures, are shown in the accompanying drawings.

[0024] It should be mentioned before discussing the exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the steps as sequential processes, many of the steps therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the steps can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0025] Embodiment 1

[0026] Figure 1 It is a flow chart of the method for predicting favorable areas of condensate oil shale gas reservoirs provided in Example 1 of the present application. This embodiment can be applicable to the situation of predicting favorable areas of condensate oil shale gas reservoirs. The method can be executed by the device for predicting favorable areas of condensate oil shale gas reservoirs provided in the embodiment of the present application. The device can be implemented by software and / or hardware, and can be integrated into devices such as smart terminals for predicting favorable areas of gas reservoirs.

[0027] like Figure 1 As shown, the method for predicting favorable areas of condensate shale gas reservoirs includes:

[0028] S110, determining a target parameter based on historical data of a staged fracturing horizontal well; wherein the target parameter is at least one parameter determined based on geological parameters that affect the development effect of the staged fracturing horizontal well;

[0029] Among them, in the field of petroleum, fracturing refers to a method of using hydraulic force to form cracks in oil and gas layers during oil or gas production. Horizontal wells are special wells with a maximum well inclination angle of or close to 90° and a certain length of horizontal well section maintained in the target layer. Segmented fracturing horizontal wells can refer to the technology of using certain technical measures to strictly control the number, aperture and phase of perforation holes in several or more horizontal sections with good reservoir properties along the direction of the horizontal wellbore in the wellbore according to the physical properties of the oil and gas reservoir and the reservoir characteristics, and to simultaneously open several or more horizontal sections of oil and gas layers through a single fracturing operation. It is mainly an important measure for the efficient development of low permeability, heavy oil and fractured gas reservoirs. For example, a segmented fracturing horizontal well in the target area can be constructed with a perforation of about 100 meters in each section, 2-4 places in each section, 1-1.5 meters in each perforation, and 20-30 meters in between.

[0030] In this embodiment, the geological parameters may refer to the parameters that affect the prediction of favorable areas of condensate-rich shale gas reservoirs among various geological characteristics. The geological parameters can be determined according to the hydrocarbon generation potential of shale and the characteristics of shale reservoirs. Among them, the hydrocarbon generation capacity of shale can refer to the number and type of hydrocarbon generation of shale; the characteristics of shale reservoirs can refer to the characteristics of shale development and distribution. The target parameter may refer to the parameter in the geological parameter that has a greater impact on the development effect of staged fracturing horizontal wells. For example, assuming that the geological parameters may be parameters such as TOC (Total Organic Carbon) content, effective thickness, condensate content, and porosity, and the TOC content has a greater impact on the development effect of staged fracturing horizontal wells, the TOC content can be used as the target parameter. Among them, the TOC content may refer to the total carbon content of organic matter in water, that is, the organic matter in water is burned into CO2, and the amount of organic matter is indicated by measuring the content of CO2. The effective thickness may refer to the thickness of the rock storing condensate and gas. The condensate content may refer to the proportion of oil in the target area. Porosity can be referred to as the ratio of the sum of the volumes of all pore spaces in a rock sample to the volume of the rock sample.

[0031] In this scheme, an evaluation system for reservoir parameters of shale gas reservoirs rich in condensate oil can be established based on geological parameters. The historical data of staged fracturing horizontal wells are obtained, and the corresponding relationship between each parameter in the evaluation system and the gas production (Estimated Ultimate Recovery, EUR) and condensate production is determined respectively. The influence of each parameter on the gas production and condensate production per meter of horizontal section length is analyzed, and the target parameters affecting the development effect of staged fracturing horizontal wells are determined.

[0032] In this technical solution, optionally, the target parameters are determined based on the historical data of the staged fracturing horizontal well, including:

[0033] The historical data of the staged fracturing horizontal well is processed by using a two-stage decreasing rule to obtain the gas production and condensate production per meter of horizontal section length;

[0034] The target parameters are determined according to the corresponding relationship between the gas production volume and the geological parameters, and the corresponding relationship between the condensate oil production volume and the geological parameters.

[0035] In this embodiment, since the production wells are located in zones with different condensate content, it is necessary to calculate the horizontal section length and the number of fracturing sections of the staged fracturing horizontal wells based on the different condensate content zones and the zone zones, normalize the cumulative production according to the horizontal section length and the number of fracturing sections, and predict the normalized production to meters. The two-stage decreasing rule is used to process the production curve of the average single well per meter of horizontal section length, and the gas production and condensate production per meter of horizontal section length are predicted respectively, and the gas production and condensate production per meter of horizontal section length are predicted. According to the corresponding relationship between gas production and geological parameters, and the corresponding relationship between condensate production and geological parameters, the influence of each parameter on the gas production and condensate production per meter of horizontal section length is analyzed, and the target parameters affecting the development effect of staged fracturing horizontal wells are determined.

[0036] For example, Figure 2 Schematic diagram of the corresponding relationship between condensate oil content and production volume provided in Example 1 of the present application. Figure 2 As shown, the ordinate is the condensate content in the geological parameters, and the abscissa is the gas production and condensate production. Figure 3 This is a schematic diagram of the corresponding relationship between the effective thickness and the extraction volume provided in Example 1 of the present application. Figure 3 As shown, the ordinate is the effective thickness in geological parameters, and the abscissa is the gas production and condensate oil production. Figure 4 Schematic diagram of the relationship between TOC content and extraction volume provided in Example 1 of the present application. Figure 4 As shown in the figure, the ordinate is the TOC content in the geological parameters, and the abscissa is the gas production and condensate production. According to the corresponding relationship between gas production and geological parameters, and the corresponding relationship between condensate production and geological parameters, it can be determined that the target parameters affecting the development effect of staged fracturing horizontal wells in the target area are condensate content, effective thickness and TOC content. Among them, the target parameters affecting the development effect of staged fracturing horizontal wells in different target areas are different.

[0037] By determining the target parameters, the main control parameters or parameter combinations that affect the development effect of staged fracturing horizontal wells can be obtained. Thus, the reservoir standard of condensate-rich shale gas reservoirs that meets the characteristics of this area is established, which is conducive to improving the accuracy of the prediction of favorable areas of condensate shale gas reservoirs.

[0038] In the present technical solution, optionally, the geological parameters include mineral group classification parameters, physical property parameters, interlayer parameters and oil and gas content parameters;

[0039] Wherein, the mineral group classification parameters include brittle mineral content;

[0040] The physical property parameters include burial depth, effective thickness, connected organic pore porosity, permeability, natural fracture development intensity and natural fracture development direction;

[0041] The interlayer parameters include the interlayer development position and the number of interlayer development layers;

[0042] The oil and gas content parameters include TOC content, adsorbed gas content, gas saturation and condensate content.

[0043] Among them, the brittle mineral content may refer to the content of quartz and feldspar; permeability may refer to the property of rock that allows fluid to pass through under a certain pressure difference; interlayer refers to a low-permeability layer section inside the main reservoir that is relatively thin, short-extending, and has lithology or physical properties that are greatly different from those of the upper and lower rock layers; barrier refers to a rock layer that is basically impermeable vertically, which can separate the upper and lower reservoirs, is generally thicker, and has good lateral continuity.

[0044] In this scheme, triggered by geological characteristics, according to the hydrocarbon generation potential of shale and shale reservoir characteristics, a reservoir evaluation system for shale gas reservoirs rich in condensate oil is established from the aspects of geological parameters such as organic matter type, total organic carbon content, organic matter maturity, shale reservoir burial depth, structure, effective thickness, mineral composition, reservoir space type, porosity, permeability, adsorbed gas content, gas saturation and condensate content. The specific parameter system is shown in Table 1:

[0045] Table 1

[0046]

[0047] By establishing a complete reservoir parameter evaluation system for condensate-rich shale gas reservoirs, the main control parameters or parameter combinations that affect the development effect of staged fracturing horizontal wells can be analyzed, which is beneficial to improving the accuracy of prediction of favorable areas in condensate shale gas reservoirs.

[0048] S120, using the target parameters and pre-acquired geochemical analysis data, determining the distribution of condensate content, and using the target parameters and pre-acquired seismic data, determining the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable stratum for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well;

[0049] In this embodiment, the geochemical analysis data may refer to the geochemical data of cores and cuttings in the study area and surrounding blocks. The condensate oil content distribution is calculated based on the target parameters and the geochemical analysis data. The condensate oil content data of each staged fracturing horizontal well may be processed by an interpolation method to obtain the condensate oil content distribution in the planar area.

[0050] In this scheme, seismic data may refer to historical data collected in petroleum seismic exploration. By analyzing seismic data, the degree and direction of natural fractures in shale reservoirs can be predicted, thereby guiding the deployment direction of horizontal sections of staged fracturing horizontal wells, and the spatial distribution of thin carbonate interlayers and high TOC layers can be predicted, guiding the favorable strata and depth of the vertical deployment of horizontal sections of staged fracturing horizontal wells.

[0051] S130, predicting favorable areas of condensate shale gas reservoirs based on the target parameters, condensate content distribution, horizontal section deployment direction of staged fracturing horizontal wells, and favorable strata for vertical deployment of horizontal sections of staged fracturing horizontal wells.

[0052] In this plan, the reservoir standard of condensate-rich shale gas reservoirs that meets the characteristics of the target area can be established based on the target parameters and the distribution of condensate content. The horizontal section deployment direction of the staged fracturing horizontal wells and the vertical deployment favorable strata of the horizontal section of the staged fracturing horizontal wells can be combined to predict the horizontal target area and the vertical target area, and the favorable area of ​​the condensate shale gas reservoir can be determined.

[0053] In the technical solution, optionally, the target parameters and pre-acquired seismic data are used to determine the deployment direction of the horizontal section of the staged fracturing horizontal well, including:

[0054] Obtain seismic data;

[0055] Processing the seismic data based on the azimuthal Fourier coefficient rule to obtain anisotropic parameters and directions, and processing the anisotropic parameters and directions using the prestack wide azimuthal inversion rule to determine elastic parameters;

[0056] According to the elastic parameters and target parameters, the development degree and direction of natural fractures in the shale reservoir are determined, and based on the development degree and direction of natural fractures in the shale reservoir, the deployment direction of the horizontal section of the staged fracturing horizontal well is determined.

[0057] In this scheme, when using seismic data to characterize the distribution characteristics of shale reservoir fractures, based on the optimized gather data, after analyzing the fracture reflection characteristics, the gather data is processed based on the azimuth Fourier coefficient rule to obtain the anisotropic parameters and directions. Among them, the gather data includes azimuth and offset stacking. The anisotropic parameters and directions are processed using the pre-stack wide azimuth inversion rule to obtain the elastic parameters, and the degree and direction of natural fracture development in the shale reservoir are quantitatively predicted based on the elastic parameters and target parameters, thereby guiding the deployment direction of the horizontal section of the staged fracturing horizontal well.

[0058] By determining the deployment direction of the horizontal section of the staged fracturing horizontal well, the distribution characteristics of the target parameters can be characterized from the plane direction, which is beneficial to improving the accuracy of the prediction of favorable areas of condensate oil shale gas reservoirs.

[0059] In this technical solution, optionally, after obtaining the seismic data, the method further includes:

[0060] The seismic data is filtered to obtain seismic data to be processed.

[0061] In this embodiment, after the seismic data is obtained, the seismic data is optimized and processed to obtain seismic data to be processed with a high signal-to-noise ratio.

[0062] By processing seismic data, the accuracy of predicting the development degree and direction of natural fractures in shale reservoirs can be improved.

[0063] In the technical solution, optionally, the target parameters and pre-acquired seismic data are used to determine favorable strata for vertical deployment of the horizontal section of the staged fracturing horizontal well, including:

[0064] Seismic data are processed based on sparse layer inversion technology to obtain high-resolution seismic data;

[0065] According to the high-resolution seismic data, target parameters and rock physical parameters, the spatial distribution of thin carbonate interlayers and high TOC layers is determined, and based on the spatial distribution of thin carbonate interlayers and high TOC layers, the favorable layer for the vertical deployment of the horizontal section of the staged fracturing horizontal well is determined.

[0066] In this scheme, after obtaining seismic data, the low-frequency and high-frequency components missing in the seismic data are restored based on the sparse layer inversion technology to improve the resolution of the existing seismic data. Based on high-resolution seismic data and target parameters, the rock physical parameter combinations with good correlation with the spatial distribution of thin carbonate interlayers and high TOC layers are screened out, and the spatial distribution of thin carbonate interlayers and high TOC layers is predicted through prestack geostatistical inversion to guide the vertical deployment of favorable layers and depths in the horizontal section of staged fracturing horizontal wells. Among them, rock physical parameters can refer to parameters such as longitudinal wave impedance, shear wave impedance and density.

[0067] By predicting the favorable strata and depths for the longitudinal deployment of the horizontal section of staged fracturing horizontal wells, the impact of thin carbonate interlayers on the exploitation of condensate shale gas reservoirs can be avoided.

[0068] In the technical solution, optionally, the favorable area of ​​condensate shale gas reservoir is predicted by the target parameters, condensate content distribution, horizontal section deployment direction of staged fracturing horizontal wells, and favorable strata of horizontal section longitudinal deployment of staged fracturing horizontal wells, including:

[0069] Determine a planar target area using the target parameters and condensate content distribution;

[0070] Determine the vertical target area based on the favorable layers deployed vertically in the horizontal section of the staged fracturing horizontal well;

[0071] The favorable area of ​​condensate oil shale gas reservoir is predicted through the planar target area, the vertical target area and the deployment direction of the horizontal section of the staged fracturing horizontal well.

[0072] In this plan, the reservoir standards of the target parameters that affect the development effect of staged fracturing horizontal wells are clarified. On the basis of the quantitative evaluation system of condensate-rich shale gas reservoirs, combined with the dynamic data of staged fracturing horizontal wells, the influence of key reservoir parameters on the development effect of staged fracturing horizontal wells is analyzed one by one, so as to establish reservoir standards for condensate-rich shale gas reservoirs that meet the characteristics of the target area. By establishing a fine geological model, combined with reservoir standards, according to the target parameters and condensate content distribution, the plane sweet spot area is predicted, and the vertical sweet spot section is predicted according to the favorable strata of the vertical deployment of the horizontal section of the staged fracturing horizontal well, and the favorable area prediction of condensate-rich shale gas reservoirs is achieved in combination with the horizontal section deployment direction of the staged fracturing horizontal well.

[0073] Based on the three aspects of horizontal section deployment direction of staged fracturing horizontal wells, favorable layers for vertical deployment of horizontal sections, and favorable positions for horizontal deployment, the vertical target area and the horizontal target area are predicted, thereby realizing the prediction of favorable areas of condensate-rich shale gas reservoirs and providing support for factory-based drilling.

[0074] The technical solution provided in the embodiment of the present application determines the target parameters according to the historical data of the staged fracturing horizontal well; wherein the target parameters are at least one parameter determined according to the geological parameters that affect the development effect of the staged fracturing horizontal well; the distribution of condensate content is determined by using the target parameters and the pre-acquired geochemical analysis data, and the horizontal section deployment direction of the staged fracturing horizontal well and the favorable strata for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well are determined by using the target parameters and the pre-acquired seismic data; the favorable area of ​​condensate shale gas reservoir is predicted by the target parameters, the distribution of condensate content, the horizontal section deployment direction of the staged fracturing horizontal well and the favorable strata for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well. By implementing this technical solution, a reservoir parameter evaluation system for shale gas reservoirs rich in condensate can be established, starting from the three aspects of the horizontal section deployment direction of the staged fracturing horizontal well, the favorable strata for the longitudinal deployment of the horizontal section and the favorable position for the plane deployment.

[0075] Embodiment 2

[0076] Figure 5 Schematic diagram of the structure of the device for predicting favorable areas of condensate oil shale gas reservoirs provided in Example 2 of the present application. Figure 5 As shown, the device for predicting favorable areas of condensate oil shale gas reservoirs includes:

[0077] The target parameter determination module 510 is used to determine the target parameter according to the historical data of the staged fracturing horizontal well; wherein the target parameter is at least one parameter determined according to the geological parameters that affect the development effect of the staged fracturing horizontal well;

[0078] The distribution feature determination module 520 is used to determine the distribution of condensate content by using the target parameters and pre-acquired geochemical analysis data, and to determine the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable layer for the vertical deployment of the horizontal section of the staged fracturing horizontal well by using the target parameters and pre-acquired seismic data;

[0079] The condensate shale gas reservoir favorable area prediction module 530 is used to predict the condensate shale gas reservoir favorable area according to the target parameters, condensate content distribution, horizontal section deployment direction of staged fracturing horizontal wells and favorable strata in the vertical deployment of horizontal sections of staged fracturing horizontal wells.

[0080] In this technical solution, optionally, the target parameter determination module 510 includes:

[0081] A production volume obtaining unit is used to process the historical data of the staged fracturing horizontal well using a two-stage decline rule to obtain the gas production volume and condensate oil production volume per meter of the horizontal section length;

[0082] The target parameter determination unit is used to determine the target parameter according to the corresponding relationship between the gas production volume and the geological parameter, and the corresponding relationship between the condensate oil production volume and the geological parameter.

[0083] In the present technical solution, optionally, the geological parameters include mineral group classification parameters, physical property parameters, interlayer parameters and oil and gas content parameters;

[0084] Wherein, the mineral group classification parameters include brittle mineral content;

[0085] The physical property parameters include burial depth, effective thickness, connected organic pore porosity, permeability, natural fracture development intensity and natural fracture development direction;

[0086] The interlayer parameters include the interlayer development position and the number of interlayer development layers;

[0087] The oil and gas content parameters include TOC content, adsorbed gas content, gas saturation and condensate content.

[0088] In this technical solution, optionally, the condensate oil shale gas reservoir favorable area prediction module 530 includes:

[0089] A seismic data acquisition unit, used for acquiring seismic data;

[0090] An elastic parameter determination unit is used to process the seismic data based on the azimuthal Fourier coefficient rule to obtain anisotropic parameters and directions, and to process the anisotropic parameters and directions using the prestack wide azimuthal inversion rule to determine elastic parameters;

[0091] The unit for determining the horizontal section deployment direction of the staged fracturing horizontal well is used to determine the degree and direction of development of natural fractures in the shale reservoir according to the elastic parameters and the target parameters, and to determine the horizontal section deployment direction of the staged fracturing horizontal well based on the degree and direction of development of natural fractures in the shale reservoir.

[0092] In this technical solution, optionally, the condensate oil shale gas reservoir favorable area prediction module 530 further includes:

[0093] The unit for obtaining the seismic data to be processed is used for filtering the seismic data to obtain the seismic data to be processed.

[0094] In this technical solution, optionally, the condensate oil shale gas reservoir favorable area prediction module 530 further includes:

[0095] A high-resolution seismic data acquisition unit is used to process seismic data based on sparse layer inversion technology to obtain high-resolution seismic data;

[0096] The unit for determining favorable strata for longitudinal deployment of the horizontal section of a staged fracturing horizontal well is used to determine the spatial distribution of thin carbonate interlayers and high TOC layers according to the high-resolution seismic data, target parameters and rock physical parameters, and to determine favorable strata for longitudinal deployment of the horizontal section of a staged fracturing horizontal well based on the spatial distribution of the thin carbonate interlayers and high TOC layers.

[0097] In this technical solution, optionally, the condensate oil shale gas reservoir favorable area prediction module 530 further includes:

[0098] A plane target area determination unit, used to determine the plane target area by using the target parameters and the condensate content distribution;

[0099] A vertical target area determination unit, used to determine the vertical target area according to the favorable layers vertically deployed in the horizontal section of the staged fracturing horizontal well;

[0100] The favorable area prediction unit for condensate oil shale gas reservoir is used to predict the favorable area of ​​condensate oil shale gas reservoir through the planar target area, the vertical target area and the horizontal section deployment direction of the staged fracturing horizontal well.

[0101] The above-mentioned product can execute the method provided in the embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method.

[0102] Embodiment 3

[0103] The embodiment of the present application also provides a medium containing computer executable instructions, wherein the computer executable instructions are used to execute a method for predicting favorable areas of condensate oil shale gas reservoirs when executed by a computer processor, the method comprising:

[0104] Determine the target parameter based on the historical data of the staged fracturing horizontal well; wherein the target parameter is at least one parameter determined based on the geological parameters that affect the development effect of the staged fracturing horizontal well;

[0105] Determine the distribution of condensate content by using the target parameters and pre-acquired geochemical analysis data, and determine the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable stratum for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well by using the target parameters and pre-acquired seismic data;

[0106] The favorable area of ​​condensate shale gas reservoir is predicted by the target parameters, condensate oil content distribution, horizontal section deployment direction of staged fracturing horizontal wells and favorable strata of horizontal section longitudinal deployment of staged fracturing horizontal wells.

[0107] Medium - any of various types of memory devices or storage devices. The term "medium" is intended to include: installation media, such as CD-ROM, floppy disk or tape devices; computer system memory or random access memory, such as DRAM, DDRRAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, etc. The medium may also include other types of memory or combinations thereof. In addition, the medium may be located in the computer system in which the program is executed, or may be located in a different second computer system, which is connected to the computer system via a network (such as the Internet). The second computer system can provide program instructions to the computer for execution. The term "medium" may include two or more media that may reside in different locations (for example, in different computer systems connected by a network). The medium may store program instructions (for example, embodied as a computer program) that can be executed by one or more processors.

[0108] Of course, the medium containing computer executable instructions provided in the embodiment of the present application is not limited to the favorable area prediction operation of condensate oil shale gas reservoir as described above, and can also execute related operations in the favorable area prediction method of condensate oil shale gas reservoir provided in any embodiment of the present application.

[0109] Embodiment 4

[0110] An embodiment of the present application provides an electronic device, in which the device for predicting favorable areas of condensate oil shale gas reservoirs provided by the embodiment of the present application can be integrated. Figure 6 Schematic diagram of the structure of an electronic device provided in the fourth embodiment of the present application. Figure 6 As shown, this embodiment provides an electronic device 600, which includes: one or more processors 620; a storage device 610, which is used to store one or more programs. When the one or more programs are executed by the one or more processors 620, the one or more processors 620 implement the method for predicting favorable areas of condensate oil shale gas reservoirs provided in the embodiment of the present application. The method includes:

[0111] Determine the target parameter based on the historical data of the staged fracturing horizontal well; wherein the target parameter is at least one parameter determined based on the geological parameters that affect the development effect of the staged fracturing horizontal well;

[0112] Determine the distribution of condensate content by using the target parameters and pre-acquired geochemical analysis data, and determine the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable stratum for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well by using the target parameters and pre-acquired seismic data;

[0113] The favorable area of ​​condensate shale gas reservoir is predicted by the target parameters, condensate oil content distribution, horizontal section deployment direction of staged fracturing horizontal wells and favorable strata of horizontal section longitudinal deployment of staged fracturing horizontal wells.

[0114] Of course, those skilled in the art can understand that the processor 620 also implements the technical solution of the method for predicting favorable areas of condensate oil shale gas reservoirs provided in any embodiment of the present application.

[0115] Figure 6 The electronic device 600 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0116] like Figure 6 As shown, the electronic device 600 includes a processor 620, a storage device 610, an input device 630, and an output device 640; the number of the processor 620 in the electronic device can be one or more. Figure 6 A processor 620 is taken as an example; the processor 620, the storage device 610, the input device 630 and the output device 640 in the electronic device can be connected via a bus or other means. Figure 6 The connection via bus 650 is taken as an example.

[0117] The storage device 610, as a computer-readable medium, can be used to store software programs, computer executable programs and module units, such as program instructions corresponding to the method for predicting favorable areas of condensate oil shale gas reservoirs in the embodiment of the present application.

[0118] The storage device 610 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the storage device 610 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the storage device 610 may further include a memory remotely arranged relative to the processor 620, and these remote memories may be connected via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0119] The input device 630 may be used to receive input numbers, character information or voice information, and generate key signal input related to user settings and function control of the electronic device. The output device 640 may include electronic devices such as a display screen and a speaker.

[0120] The electronic device provided in the embodiment of the present application can achieve the purpose of predicting favorable areas of shale gas reservoirs rich in condensate oil by establishing a reservoir parameter evaluation system for shale gas reservoirs rich in condensate oil, starting from three aspects: the horizontal section deployment direction of staged fracturing horizontal wells, the favorable layer positions for the vertical deployment of the horizontal sections, and the favorable positions for the planar deployment.

[0121] The favorable zone prediction device, medium and electronic device for condensate oil shale gas reservoir provided in the above embodiments can execute the favorable zone prediction method for condensate oil shale gas reservoir provided in any embodiment of the present application, and have the corresponding functional modules and beneficial effects of executing the method. For technical details not described in detail in the above embodiments, please refer to the favorable zone prediction method for condensate oil shale gas reservoir provided in any embodiment of the present application.

[0122] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A method for predicting favorable areas of condensate shale gas reservoirs, characterized in that: include: Determine the target parameter based on the historical data of the staged fracturing horizontal well; wherein the target parameter is at least one parameter determined based on the geological parameters that affect the development effect of the staged fracturing horizontal well; Determine the distribution of condensate content by using the target parameters and pre-acquired geochemical analysis data, and determine the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable stratum for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well by using the target parameters and pre-acquired seismic data; Predicting favorable areas of condensate shale gas reservoirs by means of the target parameters, condensate content distribution, horizontal section deployment direction of staged fracturing horizontal wells, and favorable strata for vertical deployment of horizontal sections of staged fracturing horizontal wells; Wherein, determining the target parameters according to the historical data of the staged fracturing horizontal wells includes: The historical data of the staged fracturing horizontal well is processed by using a two-stage decreasing rule to obtain the gas production and condensate production per meter of horizontal section length; Determining target parameters according to the corresponding relationship between the gas production volume and the geological parameters, and the corresponding relationship between the condensate oil production volume and the geological parameters; The method of using the target parameters and pre-acquired seismic data to determine the deployment direction of the horizontal section of the staged fracturing horizontal well includes: Obtain seismic data; Processing the seismic data based on the azimuthal Fourier coefficient rule to obtain anisotropic parameters and directions, and processing the anisotropic parameters and directions using the prestack wide azimuthal inversion rule to determine elastic parameters; Determine the development degree and direction of natural fractures in the shale reservoir according to the elastic parameters and target parameters, and determine the deployment direction of the horizontal section of the staged fracturing horizontal well based on the development degree and direction of natural fractures in the shale reservoir; The method of using the target parameters and pre-acquired seismic data to determine favorable strata for vertical deployment of the horizontal section of the staged fracturing horizontal well includes: Seismic data are processed based on sparse layer inversion technology to obtain high-resolution seismic data; Determine the spatial distribution of thin carbonate interlayers and high TOC layers according to the high-resolution seismic data, target parameters and rock physical parameters, and determine favorable strata for longitudinal deployment of horizontal sections of staged fracturing horizontal wells based on the spatial distribution of thin carbonate interlayers and high TOC layers; The method predicts favorable areas of condensate shale gas reservoirs by using the target parameters, condensate content distribution, horizontal section deployment direction of staged fracturing horizontal wells, and favorable strata for vertical deployment of horizontal sections of staged fracturing horizontal wells, including: Determine a planar target area using the target parameters and condensate content distribution; Determine the vertical target area based on the favorable layers deployed vertically in the horizontal section of the staged fracturing horizontal well; The favorable area of ​​condensate oil shale gas reservoir is predicted through the planar target area, the vertical target area and the deployment direction of the horizontal section of the staged fracturing horizontal well.

2. The method according to claim 1, characterized in that The geological parameters include mineral group classification parameters, physical property parameters, interlayer parameters and oil and gas content parameters; Wherein, the mineral group classification parameters include brittle mineral content; The physical property parameters include burial depth, effective thickness, connected organic pore porosity, permeability, natural fracture development intensity and natural fracture development direction; The interlayer parameters include the interlayer development position and the number of interlayer development layers; The oil and gas content parameters include TOC content, adsorbed gas content, gas saturation and condensate content.

3. The method according to claim 1, characterized in that After obtaining the seismic data, the method further comprises: The seismic data is filtered to obtain seismic data to be processed.

4. A device for predicting favorable areas of condensate oil shale gas reservoirs, characterized in that: include: A target parameter determination module, used to determine the target parameter according to the historical data of the staged fracturing horizontal well; wherein the target parameter is at least one parameter determined according to the geological parameters that affect the development effect of the staged fracturing horizontal well; A distribution feature determination module is used to determine the distribution of condensate content using the target parameters and pre-acquired geochemical analysis data, and to determine the deployment direction of the horizontal section of the staged fracturing horizontal well and the favorable layer for the longitudinal deployment of the horizontal section of the staged fracturing horizontal well using the target parameters and pre-acquired seismic data; A condensate oil shale gas reservoir favorable area prediction module is used to predict the condensate oil shale gas reservoir favorable area through the target parameters, condensate oil content distribution, horizontal section deployment direction of staged fracturing horizontal wells, and horizontal section vertical deployment favorable strata of staged fracturing horizontal wells; Wherein, the target parameter determination module includes: A production volume obtaining unit is used to process the historical data of the staged fracturing horizontal well using a two-stage decline rule to obtain the gas production volume and condensate oil production volume per meter of the horizontal section length; a target parameter determination unit, configured to determine the target parameter according to the corresponding relationship between the gas production volume and the geological parameter, and the corresponding relationship between the condensate oil production volume and the geological parameter; The deployment feature determination module comprises: A seismic data acquisition unit, used for acquiring seismic data; An elastic parameter determination unit is used to process the seismic data based on the azimuthal Fourier coefficient rule to obtain anisotropic parameters and directions, and to process the anisotropic parameters and directions using the prestack wide azimuthal inversion rule to determine elastic parameters; A unit for determining the deployment direction of the horizontal section of a staged fracturing horizontal well, for determining the development degree and direction of natural fractures in the shale reservoir according to the elastic parameters and the target parameters, and determining the deployment direction of the horizontal section of the staged fracturing horizontal well based on the development degree and direction of natural fractures in the shale reservoir; The deployment feature determination module further includes: A high-resolution seismic data acquisition unit is used to process seismic data based on sparse layer inversion technology to obtain high-resolution seismic data; A unit for determining favorable strata for longitudinal deployment of the horizontal section of a staged fracturing horizontal well, for determining the spatial distribution of thin carbonate interlayers and high TOC layers according to the high-resolution seismic data, target parameters and rock physical parameters, and determining favorable strata for longitudinal deployment of the horizontal section of a staged fracturing horizontal well based on the spatial distribution of the thin carbonate interlayers and high TOC layers; The favorable area prediction module for condensate oil shale gas reservoirs includes: A plane target area determination unit, used to determine the plane target area by using the target parameters and the condensate content distribution; A vertical target area determination unit, used to determine the vertical target area according to the favorable layers vertically deployed in the horizontal section of the staged fracturing horizontal well; The favorable area prediction unit for condensate oil shale gas reservoir is used to predict the favorable area of ​​condensate oil shale gas reservoir through the planar target area, the vertical target area and the horizontal section deployment direction of the staged fracturing horizontal well.

5. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for predicting favorable areas of condensate oil shale gas reservoirs as described in any one of claims 1 to 3 is implemented.

6. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for predicting favorable areas of condensate oil shale gas reservoirs according to any one of claims 1 to 3 is implemented.

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