Coal rock distribution prediction method and device, electronic equipment and storage medium

Abstract

The invention discloses a coal rock distribution prediction method and device, electronic equipment and a storage medium. The coal rock distribution prediction method comprises the following steps: determining target topographic factor information of a micro-ancient landform formed by a target coal rock stratum, the topographic factor information being a micro-ancient landform shape represented by a stratum inclination angle and a stratum curvature, the topographic factor information can be used for representing peat marsh facies characteristics which are required by the coal rock stratum in a sedimentary environment and have a positive promotion effect on coal rock stratum deposition; determining seismic wave impedance corresponding to the target coal rock stratum; and carrying out seismic inversion based on the target terrain factor information and the seismic wave impedance corresponding to the target coal rock stratum, and predicting to obtain a coal rock distribution result of the target coal rock stratum. According to the scheme, the seismic inversion is constrained and verified by the topographic factor information of the micro-ancient landform and the seismic wave impedance of the target coal rock stratum, and the accuracy of a coal rock distribution prediction result is improved.

Description

Technical Field

[0001] This invention relates to the field of seismic data interpretation technology, and in particular to a method, apparatus, electronic device, and storage medium for predicting coal and rock distribution. Background Technology

[0002] Given the continued growth in energy demand, coal, as a vital energy resource, requires accurate exploration and efficient development. Predicting coal seam distribution using seismic data is one of the important technical methods currently employed, with commonly used techniques including seismic attribute analysis and seismic inversion.

[0003] However, practical applications face numerous challenges. Coal seams vary greatly in thickness under different sedimentary environments. Some are thin and relatively stable laterally, while others exhibit varying thicknesses and rapid lateral changes, significantly increasing the difficulty of predicting coal distribution. Although coal seams typically have low velocity and density, exhibiting low impedance characteristics and significant seismic response regardless of whether the surrounding rocks are sandstone, mudstone, or carbonate rocks, the prediction of coal distribution is ambiguous due to variations in thickness. This is particularly true in continental rift basins, where short-source sediments dominate. Influenced by paleogeographic differences, clastic sediments overlap laterally, and coal development requires a relatively stable peat bog environment, leading to rapid lateral variations in coal distribution. Therefore, there are limitations in addressing these complex situations, making it difficult to accurately and efficiently predict coal distribution in different sedimentary environments, especially in complex continental rift basins. This not only affects the accurate exploration of coal resources but also introduces considerable uncertainty into subsequent development and utilization. Summary of the Invention

[0004] This invention provides a method, device, electronic device, and storage medium for predicting coal and rock distribution. By introducing topographic factors such as dip angle and curvature of micro-paleomorphology, a stable peat swamp environment region can be characterized, thereby constraining the coal and rock distribution predicted by seismic attributes and seismic inversion technology, thus improving the reliability of coal and rock distribution prediction.

[0005] According to one aspect of the present invention, a method for predicting coal and rock distribution is provided, comprising:

[0006] The target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata is determined. The topographic factor information is the micro-paleomorphology represented by the dip angle and curvature of the strata. The topographic factor information can characterize the peat swamp facies characteristics that have a positive promoting effect on the deposition of coal and rock strata in the sedimentary environment.

[0007] Determine the seismic impedance corresponding to the target coal and rock strata;

[0008] Seismic inversion is performed based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata to predict the coal and rock distribution of the target coal and rock strata.

[0009] According to another aspect of the present invention, a device for predicting coal and rock distribution is provided, comprising:

[0010] The first determining module is used to determine the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata. The topographic factor information is the micro-paleomorphology represented by the dip angle and curvature of the strata. The topographic factor information can characterize the peat swamp facies features that have a positive promoting effect on the deposition of coal and rock strata in the sedimentary environment.

[0011] The second determination module is used to determine the seismic impedance corresponding to the target coal and rock strata.

[0012] The prediction module is used to perform seismic inversion based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata, and to predict the coal and rock distribution results of the target coal and rock strata.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to at least one processor; wherein the memory stores a computer program executable by at least one processor, the computer program being executed by at least one processor to enable at least one processor to perform the coal and rock distribution prediction method of any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute a method for predicting coal and rock distribution according to any embodiment of the present invention.

[0017] The method for predicting coal and rock distribution provided in this invention determines the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata. The topographic factor information is the micro-paleomorphology represented by the dip angle and curvature of the strata, and the topographic factor information can characterize the peat swamp facies features that positively promote the deposition of coal and rock strata in the sedimentary environment. The method also determines the seismic impedance corresponding to the target coal and rock strata, and performs seismic inversion based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata to predict the coal and rock distribution of the target coal and rock strata. The technical solution provided by this invention determines the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata, realizing the transformation of micro-paleomorphological information into peat swamp facies distribution conditions that can reflect the suitability for coal and rock development, providing strong data support for subsequent seismic inversion, and improving the effectiveness and reliability of prediction results; it also determines the seismic impedance corresponding to the target coal and rock strata, and performs seismic inversion based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata, realizing the addition of target topographic factors to constrain and mutually verify the seismic inversion results during the process of using seismic impedance, improving the accuracy of coal and rock distribution prediction results, and providing technical support for the exploration and development of onshore coal-bearing strata.

[0018] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating a method for predicting coal and rock distribution according to Embodiment 1 of the present invention;

[0021] Figure 2 A plan view of a micro-paleomorphology provided in Embodiment 1 of the present invention;

[0022] Figure 3 A cross-sectional view of a micro-paleotopography-constrained seismic inversion provided in Embodiment 1 of the present invention;

[0023] Figure 4 This is a plan view of a micro-paleotopography-constrained seismic inversion provided in Embodiment 1 of the present invention;

[0024] Figure 5This is a schematic diagram of the structure of a coal and rock distribution prediction device provided in Embodiment 2 of the present invention;

[0025] Figure 6 This is a schematic diagram of the structure of an electronic device for predicting coal and rock distribution provided in Embodiment 3 of the present invention. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] Example 1

[0029] Figure 1 This is a flowchart of a method for predicting coal and rock distribution according to Embodiment 1 of the present invention. This embodiment is applicable to predicting the coal and rock distribution in onshore coal-bearing strata. The method can be executed by a coal and rock distribution prediction device, which can be implemented in hardware and / or software and configured in an electronic device for predicting coal and rock distribution. Figure 1 As shown, the method includes:

[0030] S101. Determine the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata. The topographic factor information is the micro-paleomorphology represented by the dip angle and curvature of the strata. The topographic factor information can characterize the peat swamp facies characteristics that have a positive promoting effect on the deposition of coal and rock strata in the sedimentary environment.

[0031] In this embodiment of the invention, the target coal-bearing stratum refers to any coal-bearing stratum from which the coal distribution is to be predicted. The coal-bearing stratum refers to sedimentary rock layers containing coal seams, typically composed of sandstone, shale, and other rocks, interspersed with multiple coal seams or coal seams. These are mainly formed in coastal areas of ancient continental margins or in terrestrial basins within the continent, and are products of humid climatic conditions. Micro-paleomorphology refers to relatively small-scale paleomorphic features formed during geological history, which are important for understanding paleogeographic environments, sedimentary processes, and the formation of mineral resources. Micro-paleomorphology typically reflects local topographic features of a specific geological period and may be shaped by multiple geological processes. For example, micro-paleomorphology may include small paleoval valleys, paleogullies, paleodusts, and micro-topography at the edges of paleolake basins. For example, Figure 2 This is a plan view of a micro-paleotope provided in Embodiment 1 of the present invention. Topographic factor information refers to a series of parameters used to describe the terrain, which can reflect the undulation, slope, height and other characteristics of the terrain.

[0032] Stratigraphic dip angle refers to the angle between the downward dip direction of the maximum dip line of a stratum and its projection line on the horizontal plane, used to describe the degree of stratum dip. Stratigraphic curvature refers to the measure of bending or deformation of strata under geological processes, used to describe the degree of curvature between stratigraphic boundaries and topographic contour lines. Positive promoting effects refer to conditions or factors favorable to coal seam formation and development, promoting the deposition of coal and rock strata. Peat bog facies characteristics refer to sedimentary facies with a series of unique features formed in peat bog environments, used in geological research and coal resource exploration to describe specific geological environments and sedimentary features. These unique features include rich organic matter, specific plant fossil assemblages, and specific sedimentary structures. In geology, especially sedimentology, a facies refers to a set of sedimentary rock assemblages with specific lithology, paleontological assemblages, and sedimentary structures formed under specific conditions.

[0033] Specifically, the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata to be surveyed is obtained. The target topographic factor information is the micro-paleomorphology represented by the dip angle and curvature of the strata. The dip angle and curvature of the strata contained in the target topographic factor information are used to characterize the stable peat swamp facies features that have a positive promoting effect on the deposition of coal and rock strata.

[0034] As an optional step, determining the target topographic factors of the micro-paleomorphology formed by the target coal and rock strata includes the following steps A1-A2:

[0035] Step A1: Generate a 3D image of the micro-paleomorphology formed by the target coal and rock strata.

[0036] Step A2: Based on the three-dimensional image of the paleomorphology, perform surface fitting on the paleomorphology formed by the target coal and rock strata to obtain the dip angle and curvature of the paleomorphology formed by the target coal and rock strata.

[0037] Specifically, paleogeomorphological restoration methods are used to generate 3D images of the micro-paleomorphological features formed by the target coal and rock strata. Paleogeomorphological restoration refers to using seismic and well logging data to reconstruct the geomorphology of a selected stratum to its pre-deposition state, a crucial step in basin analysis, sedimentary facies analysis, and reservoir prediction. Commonly used paleogeomorphological restoration methods include: residual thickness method, imprinting method, fill-in method, layer flattening method, and back-stripping method. The basic principle of the residual thickness method is to select a stratum interface beneath the eroded surface as a reference surface, and use the residual thickness between the reference surface and the top of the weathering crust to indirectly reflect the paleogeomorphological morphology. The basic principle of the imprinting method is based on the principle of sedimentary compensation, using the thickness of the overlying strata on the eroded surface to its horizontal reference surface to mirror the approximate shape of the paleogeomorphology; areas with greater thickness represent low-potential paleogeomorphic areas, and areas with less thickness represent high-potential paleogeomorphic areas.

[0038] Specifically, the following formula is used to fit the surface of the paleomorphology formed by the target coal and rock strata based on the 3D image of the paleomorphology:

[0039] z = ax 2 +by 2 +cxy+dx+ey+f;

[0040] Where a, b, c, d, e, and f are fitting coefficients, and x, y, and z are the independent variables of the horizontal and vertical coordinates and the dependent variable of the depth coordinate of the 3D image, respectively. Based on this formula, the formation dip angle Dip can be obtained as:

[0041]

[0042] In the representation of surface curvature, Gaussian curvature (total curvature) is used to describe the curvature of the interface, defined as the maximum curvature K. max and minimum curvature K min The product of:

[0043]

[0044] Define mean curvature K m for:

[0045]

[0046] Maximum curvature K max Minimum curvature K min for:

[0047]

[0048] Define the target topographic factor C that controls coal seam development. topography for:

[0049] C topography (x,y)=αK min (x,y)-βK max (x,y)-γDip(x,y);

[0050] Here, α, β, and γ are weighting coefficients. By adjusting the weighting coefficients, micro-paleogeomorphic areas with small dip angles and downward bending of strata can be reflected.

[0051] As can be seen from the definition of target topographic factors: the smaller the dip angle of the strata indicated by the target topographic factors and the more downward the strata bend, the more stable the sedimentary facies zone corresponding to the target coal and rock strata and the larger the accommodation space, which is more conducive to the development of coal seams in the target coal and rock strata; the larger the dip angle of the strata indicated by the target topographic factors and the more upward the strata bend, the less stable the sedimentary facies zone corresponding to the target coal and rock strata and the smaller the accommodation space, which is less conducive to the development of coal seams in the target coal and rock strata.

[0052] As an optional step, generating a 3D image of the micro-paleomorphology formed by the target coal and rock strata includes the following steps B1-B2:

[0053] Step B1: Obtain target seismic data of the target coal and rock strata within the preset frequency band.

[0054] Step B2: Determine the stratigraphic thickness of the target coal and rock strata by interpreting the top and bottom interfaces of the strata in the target seismic data, and obtain a three-dimensional image of the micro-paleomorphology formed by the target coal and rock strata using the imprinting method.

[0055] Specifically, target seismic data within a preset frequency band is obtained through well logging statistics of the target coal and rock formations. Based on the interpretation of the top and bottom interfaces of the formations in the target seismic data, the formation thickness of the target coal and rock formations is calculated, and a corresponding three-dimensional micro-paleomorphological image is generated using the imprinting method. The preset frequency band refers to a frequency band range pre-set according to the actual conditions of the target coal and rock formations; for example, the preset frequency band range can be set as the sensitive frequency band range of the target coal and rock formations.

[0056] As an option, acquiring target seismic data of the target coal and rock strata within a preset frequency band includes the following steps C1-C2:

[0057] Step C1: Determine the formation thickness and seismic velocity of the target coal and rock formation obtained by well logging statistics, and calculate the seismic dominant frequency corresponding to the target coal and rock formation according to the seismic quarter-wavelength resolution.

[0058] Step C2: Using the seismic dominant frequency corresponding to the target coal and rock formation as the center frequency, a bandpass filter is used to filter the seismic data of the target coal and rock formation to obtain the target seismic data of the target coal and rock formation within a preset frequency band.

[0059] Specifically, the formation thickness h and seismic wave velocity v of the target coal and rock strata are obtained through well logging statistics, and the corresponding dominant seismic frequency f is calculated according to the quarter-wavelength resolution capability of seismic waves. d ,Right now f d A bandpass filter is used to filter the seismic data at the center frequency to obtain target seismic data within a preset frequency band of the coal and rock strata. This reduces the impact of faults, amplitude anomalies, etc., and improves the continuity of the seismic phase axis and the accuracy of the location of the strata interface.

[0060] S102. Determine the seismic impedance corresponding to the target coal and rock strata.

[0061] Specifically, the seismic impedance of the target coal and rock strata is obtained. Seismic impedance refers to the product of the rock density and the speed at which seismic waves propagate in that rock, reflecting the magnitude of the resistance encountered by seismic waves when propagating in different rocks.

[0062] S103. Based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata, perform seismic inversion to predict the coal and rock distribution results of the target coal and rock strata.

[0063] In this embodiment of the invention, seismic inversion refers to the process of imaging the spatial structure and physical properties of underground rock strata by using seismic data observed on the surface, combined with known geological laws and drilling and logging data. It plays an important role in oil and gas exploration, seismic imaging, and reservoir prediction.

[0064] Specifically, since coal-bearing strata formed during a crucial period of paleobotanical evolution, they are products of specific paleotectonic, paleogeographic, and paleoclimatic conditions. Throughout geological history, as these conditions shifted towards conditions unfavorable for coal accumulation, coal-bearing strata inevitably transitioned vertically and horizontally into coal-free sedimentary rock systems. The type of coal-bearing rock system is the primary type of its material sedimentary properties and is closely related to the paleogeographic type of its formation. Therefore, only by using the target topographic factors of the micro-paleomorphology formed by the target coal-bearing strata and cross-referencing the results of seismic impedance-constrained seismic inversion corresponding to the target coal-bearing strata can the target coal-bearing strata be accurately characterized. For example, Figure 3 A cross-sectional view of a micro-paleotopography-constrained seismic inversion provided in Embodiment 1 of the present invention; Figure 4 This is a plan view of a micro-paleomorphological constrained seismic inversion provided in Embodiment 1 of the present invention.

[0065] As an optional method, seismic inversion is performed based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata to predict the coal and rock distribution results of the target coal and rock strata, including the following steps D1-D2:

[0066] Step D1: Multiply the target topographic factor information with the low-frequency model of seismic inversion to obtain the reference seismic inversion model. The target topographic factor information is used to constrain the seismic inversion process of the low-frequency model of seismic inversion to reduce the ambiguity of seismic inversion.

[0067] Step D2: Input the seismic impedance corresponding to the target coal and rock formation into the reference seismic inversion model to perform seismic inversion processing on the target coal and rock formation, and predict the coal and rock distribution results of the target coal and rock formation.

[0068] Specifically, the low-frequency model derived from seismic inversion is multiplied by the target topographic factors of the micro-paleomorphology formed by the target coal and rock strata to obtain a new facies-controlled low-frequency model, i.e., the reference seismic inversion model. The seismic impedance of the target coal and rock strata is then input into the reference seismic inversion model for seismic inversion processing to predict the coal and rock distribution of the target coal and rock strata. Because coal and rock strata are characterized by low velocity, low density, and low impedance, seismic impedance inversion can predict coal and rock distribution relatively well. However, in terrigenous clastic sediments, especially in rift basins, due to short provenance and rapid changes in sedimentary facies zones, the lateral stability of coal seam distribution is poor, making them susceptible to lateral erosion or allochthonous transport, resulting in large variations in lateral coal seam thickness. The limitations of seismic resolution lead to strong ambiguity in the prediction results. Therefore, adding constraints from micro-paleomorphological topographic factors and using peat bog facies, which are prone to coal seam deposition, as facies-controlled constraints can effectively reduce the ambiguity of seismic inversion.

[0069] As an optional reference, the formula corresponding to the seismic inversion model is as follows:

[0070] F = L p (r)+λL q (sd)+α -1 L1(ΔZ trend *C topography );

[0071] Where: L p (r)+λL q (sd) is the low-frequency model for seismic inversion; L1(ΔZ) trend ) is a longitudinal soft constraint, C topography The target topographic factor information is added as a constraint to the low-frequency model for seismic inversion.

[0072] As an option, based on the predicted coal and rock distribution of the target coal and rock strata, a drilling quality control is performed on a certain area of ​​the target coal and rock strata. If the drilling quality control meets the predicted coal and rock distribution, the coal and rock distribution of the target coal and rock strata is determined; otherwise, the coal and rock distribution of the target coal and rock strata is re-predicted by seismic inversion constrained by the target topographic factors of the micro-paleomorphology.

[0073] The method for predicting coal and rock distribution provided in this invention determines the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata. The topographic factor information is the micro-paleomorphology represented by the dip angle and curvature of the strata, and the topographic factor information can characterize the peat swamp facies features that positively promote the deposition of coal and rock strata in the sedimentary environment. The method also determines the seismic impedance corresponding to the target coal and rock strata, and performs seismic inversion based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata to predict the coal and rock distribution of the target coal and rock strata. The technical solution provided by this invention determines the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata, realizing the transformation of micro-paleomorphological information into peat swamp facies distribution conditions that can reflect the suitability for coal and rock development, providing strong data support for subsequent seismic inversion, and improving the effectiveness and reliability of prediction results; it also determines the seismic impedance corresponding to the target coal and rock strata, and performs seismic inversion based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata, realizing the addition of target topographic factors to constrain and mutually verify the seismic inversion results during the process of using seismic impedance, improving the accuracy of coal and rock distribution prediction results, and providing technical support for the exploration and development of onshore coal-bearing strata.

[0074] Example 2

[0075] Figure 5 This is a schematic diagram of the structure of a coal and rock distribution prediction device provided in Embodiment 2 of the present invention. Figure 5 As shown, the device includes:

[0076] The first determining module 201 is used to determine the target topographic factor information of the micro-paleomorphology formed by the target coal and rock strata. The topographic factor information is the micro-paleomorphology represented by the dip angle and curvature of the strata. The topographic factor information can characterize the peat swamp facies characteristics that have a positive promoting effect on the deposition of coal and rock strata in the sedimentary environment.

[0077] The second determining module 202 is used to determine the seismic wave impedance corresponding to the target coal and rock strata;

[0078] The prediction module 203 is used to perform seismic inversion based on the target topographic factor information and the seismic impedance corresponding to the target coal and rock strata, and to predict the coal and rock distribution results of the target coal and rock strata.

[0079] As an option, the first determining module 201 includes:

[0080] The 3D image generation submodule is used to generate 3D images of the micro-paleomorphology formed by the target coal and rock strata;

[0081] The stratigraphic parameter determination submodule is used to perform surface fitting on the paleomorphology formed by the target coal and rock strata based on the three-dimensional image of the paleomorphology, and obtain the stratigraphic dip angle and stratigraphic curvature of the paleomorphology formed by the target coal and rock strata.

[0082] As an optional feature, the 3D image generation submodule includes:

[0083] The target seismic data acquisition unit is used to acquire target seismic data of the target coal and rock strata within a preset frequency band.

[0084] The three-dimensional image acquisition unit is used to determine the stratigraphic thickness of the target coal and rock strata by interpreting the top and bottom interfaces of the strata in the target seismic data, and to obtain a three-dimensional image of the micro-paleomorphology formed by the target coal and rock strata using the imprinting method.

[0085] As an option, the target seismic data acquisition unit is specifically used for:

[0086] The formation thickness and seismic velocity of the target coal and rock formation were determined by well logging statistics, and the dominant seismic frequency corresponding to the target coal and rock formation was calculated based on the quarter-wavelength resolution.

[0087] Using the dominant seismic frequency corresponding to the target coal and rock formation as the center frequency, a bandpass filter is used to filter the seismic data of the target coal and rock formation to obtain the target seismic data of the target coal and rock formation within a preset frequency band.

[0088] It is worth noting that the smaller the dip angle of the strata indicated by the target topographic factors and the more downward the strata bend, the more stable the sedimentary facies zone corresponding to the target coal and rock strata and the larger the accommodation space, which is more conducive to the development of coal seams in the target coal and rock strata. On the other hand, the larger the dip angle of the strata indicated by the target topographic factors and the more upward the strata bend, the less stable the sedimentary facies zone corresponding to the target coal and rock strata and the smaller the accommodation space, which is less conducive to the development of coal seams in the target coal and rock strata.

[0089] As an option, the prediction module 203 includes:

[0090] The seismic inversion model acquisition submodule is used to multiply the target topographic factor information with the low-frequency seismic inversion model to obtain the reference seismic inversion model. The target topographic factor information is used to constrain the seismic inversion process of the low-frequency seismic inversion model to reduce the ambiguity of seismic inversion.

[0091] The coal and rock distribution prediction submodule is used to input the seismic impedance corresponding to the target coal and rock strata into the reference seismic inversion model to perform seismic inversion processing on the target coal and rock strata and predict the coal and rock distribution results of the target coal and rock strata.

[0092] As an optional reference, the formula corresponding to the seismic inversion model is as follows:

[0093] F = L p (r)+λL q (sd)+α -1 L1(ΔZ trend *C topography );

[0094] Where: L p (r)+λL q (sd) is the low-frequency model for seismic inversion; L1(ΔZ) trend ) is a longitudinal soft constraint, C topography The target topographic factor information is added as a constraint to the low-frequency model for seismic inversion.

[0095] The coal and rock distribution prediction device provided in this embodiment of the invention can execute the coal and rock distribution prediction method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0096] Example 3

[0097] Figure 6 This is a schematic diagram of an electronic device for predicting coal and rock distribution according to Embodiment 3 of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0098] like Figure 6As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0099] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0100] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for predicting coal and rock distribution.

[0101] In some embodiments, the method for predicting coal and rock distribution may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for predicting coal and rock distribution described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the method for predicting coal and rock distribution by any other suitable means (e.g., by means of firmware).

[0102] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0103] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0104] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0105] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0106] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0107] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0108] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0109] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method of predicting coal rock distribution, characterized by, The method comprises: determining target topographic factor information of micro-palaeogeomorphology formed by the target coal rock stratum, the topographic factor information being micro-palaeogeomorphology morphology represented by stratum dip angle and stratum curvature, and the topographic factor information being capable of characterizing peat bog facies features required by the coal rock stratum in a sedimentary environment to positively promote deposition of the coal rock stratum; determining seismic wave impedance corresponding to the target coal rock stratum; based on the target topographic factor information and the seismic wave impedance corresponding to the target coal rock stratum, performing seismic inversion to predict coal rock distribution results of the target coal rock stratum.

2. The method of claim 1, wherein, The method comprises: generating a three-dimensional image of micro-palaeogeomorphology formed by the target coal rock stratum; based on the three-dimensional image of the micro-palaeogeomorphology, performing surface fitting on the micro-palaeogeomorphology formed by the target coal rock stratum to obtain stratum dip angle and stratum curvature of the micro-palaeogeomorphology formed by the target coal rock stratum.

3. The method of claim 2, wherein, The method comprises: obtaining target seismic data of the target coal rock stratum in a preset frequency band range; determining stratum thickness of the target coal rock stratum by interpreting stratum top and bottom interfaces in the target seismic data, and using an impression method to obtain the three-dimensional image of the micro-palaeogeomorphology formed by the target coal rock stratum.

4. The method of claim 3, wherein, The method comprises: determining stratum thickness and seismic velocity of the target coal rock stratum obtained by logging statistics on the target coal rock stratum, and calculating a seismic main frequency corresponding to the target coal rock stratum according to seismic quarter wavelength resolution capability; using a band-pass filter with the seismic main frequency corresponding to the target coal rock stratum as a center frequency to filter process seismic data of the target coal rock stratum to obtain the target seismic data of the target coal rock stratum in the preset frequency band range.

5. The method of claim 1, wherein, The smaller the stratum dip angle indicated by the target topographic factor information and the more downwardly curved the stratum, the more stable the sedimentary facies belt corresponding to the target coal rock stratum and the larger the accommodation space, which is more conducive to development of coal seams in the target coal rock stratum; the larger the stratum dip angle indicated by the target topographic factor information and the more upwardly curved the stratum, the less stable the sedimentary facies belt corresponding to the target coal rock stratum and the smaller the accommodation space, which is less conducive to development of coal seams in the target coal rock stratum.

6. The method of claim 1, wherein, The method comprises: multiplying the target topographic factor information and a low-frequency model of seismic inversion to obtain a reference seismic inversion model, the target topographic factor information being used to constrain a seismic inversion process of the low-frequency model of seismic inversion to reduce multi-solution of seismic inversion; inputting the seismic wave impedance corresponding to the target coal rock stratum into the reference seismic inversion model to perform seismic inversion processing on the target coal rock stratum to predict coal rock distribution results of the target coal rock stratum.

7. The method of claim 6, wherein, The formula corresponding to the reference seismic inversion model is as follows: F = L p (r) + λL q (s - d) + α -1 L1(ΔZ trend * C topography ); where: L p (r) + λL q (s - d) is a low frequency model from seismic inversion; L1(ΔZ trend ) is a vertical soft constraint, C topography Target topography factor information is added to the low frequency model from seismic inversion as a constraint.

8. A coal-rock distribution prediction device characterized by comprising: The device comprises: The first determining module is configured to determine target topographic factor information of a micro-palaeogeomorphology formed by the target coal rock stratum, the topographic factor information is a micro-palaeogeomorphology form represented by a stratum dip angle and a stratum bending degree, and the topographic factor information can represent a peat bog facies feature required by the coal rock stratum in a sedimentary environment to positively promote deposition of the coal rock stratum; The second determining module is configured to determine seismic wave impedance corresponding to the target coal rock stratum; The predicting module is configured to perform seismic inversion based on the target topographic factor information and the seismic wave impedance corresponding to the target coal rock stratum, and predict a coal rock distribution result of the target coal rock stratum.

9. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the coal rock distribution prediction method in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to implement the coal rock distribution prediction method in any one of claims 1-7 when executed.

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