Helium source rock prediction method and device, storage medium and equipment

Abstract

The invention belongs to the technical field of geological research, and provides a helium source rock prediction method and device, a storage medium and equipment, and the method comprises the steps: taking a bed rock top surface seismic horizon explained and tracked by a target area as a bed rock top surface, and taking a preset time window below the bed rock top surface as a target object; making a bedrock seismic waveform classification attribute graph of a preset time window; according to the bedrock seismic waveform classification attribute graph and the seismic reflection characteristics of the various different types of rocks of the bedrock, determining the corresponding relation between the different types of rocks of the bedrock and different seismic waveform distribution areas displayed by the bedrock seismic waveform classification attribute graph; and predicting helium source rocks of different types based on the corresponding relationship and different seismic waveform distribution areas displayed by the bedrock seismic waveform classification attribute graph to obtain a prediction result. Through the prediction method, on the premise of not depending on gravity and magnetic data, the prediction accuracy of the helium source rock can be greatly improved.

Description

Technical Field

[0001] This disclosure belongs to the field of geological research technology, and in particular to a method, apparatus, storage medium and equipment for predicting helium source rocks. Background Technology

[0002] Accurately identifying helium source rocks and delineating the distribution boundaries of different types of helium source rocks is of great significance for evaluating the helium resource potential of a basin. In particular, it is crucial for selecting favorable helium enrichment areas and drilling targets, which directly affects drilling results and the development and utilization of helium.

[0003] Helium is the element with the lowest known melting and boiling points. It mainly originates from the radioactive decay of uranium and thorium and the degassing of the Earth's mantle. Due to its chemical inertness and extremely low boiling point, it is not only used in refrigeration, medical treatment, semiconductors, superconducting experiments, and optoelectronic product manufacturing, but is also an important strategic resource in the fields of military, aerospace, nuclear industry, and deep-sea diving, which is related to national security and the development of high-tech industries.

[0004] Currently, industrially utilized helium primarily originates from the decay of radioactive uranium and thorium in rocks. Therefore, the identification and distribution prediction of helium source rocks rich in uranium and thorium are crucial for helium evaluation and development. Helium exploration and evaluation in my country are still in the exploratory stage. Currently, the most commonly used method is to identify helium source rocks using gravity and magnetic data. However, this method lacks exploration verification and mainly focuses on the regularity analysis of helium content in drilled wells and the abnormal distribution of gravity and magnetic data. Many theoretical and technical problems remain. For example, Bouguer gravity anomalies mainly reflect the depth of the basement and the uplift / depression structure of the basin, and are not sensitive enough to different types of rocks in the basement. It is difficult to distinguish uranium and thorium-rich rocks such as granite and mixed granite from uranium- and thorium-poor rocks such as basic rocks, ultrabasic rocks, metamorphic rocks, carbonate rocks, and quartzite. Magnetic data also presents similar problems; the magnetic susceptibility of the same rock varies greatly underground, ranging from several tensile degrees. -5 SI to thousands of tens -5 SI makes it difficult to distinguish uranium- and thorium-rich granite strong magnetic anomalies from uranium- and thorium-poor rocks such as deeply metamorphic gneiss, granulite, and basic volcanic rocks, which also have strong magnetism. Theoretically, no model has yet been established to establish the relationship between the uranium and thorium content of rocks and the gravity and magnetic properties of different bedrock rocks. Therefore, there are still many problems in using gravity and magnetic data to identify helium source rocks.

[0005] How to identify helium source rocks without relying on existing gravity and magnetic data, and improve the accuracy of helium source rock prediction, is a technical problem to be solved. Summary of the Invention

[0006] Therefore, it is necessary to provide a method, apparatus, storage medium, and equipment for predicting helium source rocks, addressing the shortcomings of existing helium source rock prediction methods that rely on gravity and magnetic data and have low prediction accuracy.

[0007] In a first aspect, embodiments of the present invention provide a method for predicting helium source rocks, the method comprising:

[0008] With the bedrock top seismic horizon interpreted and tracked in the target area as the bedrock top surface, and with a preset time window downward from the bedrock top surface as the target object, a bedrock seismic waveform classification attribute map of the preset time window is generated.

[0009] Based on the bedrock seismic waveform classification attribute map and the seismic reflection characteristics of various types of bedrock rocks, the correspondence between different types of bedrock rocks and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map is determined.

[0010] Based on the correspondence and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, predictions are made for different types of helium source rocks, and prediction results are obtained.

[0011] Optionally, the method further includes:

[0012] Obtain the prediction results;

[0013] For different types of helium source rocks in the prediction results, perform at least one of the following operations:

[0014] Delineate the boundaries of different types of helium source rocks;

[0015] Measure the area of ​​helium source rocks of different types;

[0016] For different types of helium source rocks, generate corresponding planar distribution maps of helium source rocks.

[0017] Optionally,

[0018] The prediction results include:

[0019] If the current seismic waveform distribution area is a chaotic reflection seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is granite; or,

[0020] If the current seismic waveform distribution area is a continuously reflecting seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is regional metamorphic rock; or,

[0021] If the current seismic waveform distribution area is a semi-continuous reflection seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is a mixed rock.

[0022] Optionally, the method further includes:

[0023] The characteristics of core logging in the target area were analyzed to determine the logging parameters of different types of bedrock.

[0024] Based on the logging parameter characteristics of different types of bedrock, a bedrock logging interpretation chart is established. The bedrock logging interpretation chart is used to identify the bedrock type of wells without core sampling in order to obtain the identification results.

[0025] Optionally, the method further includes:

[0026] The seismic reflection characteristics of different bedrock rocks in the target area were analyzed, and the analysis results were obtained.

[0027] Read the analysis results;

[0028] The analysis results include:

[0029] Given that the current rock is granite, and based on the characteristic that granite lacks stratification, the seismic reflection characteristics of the bedrock of granite are determined to be: discontinuous and disordered medium-to-weak amplitude reflections.

[0030] Given that the current rock is a mixed rock, and based on the characteristic of mixed rocks having a certain degree of stratification, the seismic reflection characteristics of the bedrock of the mixed rock are determined to be: mainly semi-continuous and medium-strong amplitude reflections, and parallel or oblique to the top surface of the bedrock.

[0031] Given that the current rock is a regional metamorphic rock, and based on the good stratification of regional metamorphic rocks, the seismic reflection characteristics of the bedrock of the regional metamorphic rock are determined to be: continuous parallel medium-intensity amplitude reflections, which are parallel to the top surface of the bedrock.

[0032] Secondly, embodiments of the present invention provide a device for predicting helium source rocks, the device comprising:

[0033] The module is used to create a bedrock seismic waveform classification attribute map for a preset time window, where the bedrock top seismic horizon interpreted and tracked in the target area is taken as the bedrock top surface, and a preset time window downward from the bedrock top surface is taken as the target object.

[0034] The determination module is used to determine the correspondence between different types of bedrock and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, based on the bedrock seismic waveform classification attribute map and the seismic reflection characteristics of various types of bedrock rocks.

[0035] The prediction module is used to predict different types of helium source rocks based on the correspondence and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, and obtain prediction results.

[0036] Optionally, the device further includes:

[0037] The acquisition module is used to acquire the prediction results;

[0038] The execution module is configured to perform at least one of the following operations based on the different types of helium source rocks in the prediction results:

[0039] Delineate the boundaries of different types of helium source rocks;

[0040] Measure the area of ​​helium source rocks of different types;

[0041] For different types of helium source rocks, generate corresponding planar distribution maps of helium source rocks.

[0042] Optionally,

[0043] The prediction results include:

[0044] If the current seismic waveform distribution area is a chaotic reflection seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is granite; or,

[0045] If the current seismic waveform distribution area is a continuously reflecting seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is regional metamorphic rock; or,

[0046] If the current seismic waveform distribution area is a semi-continuous reflection seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is a mixed rock.

[0047] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing a computer program for performing the above-described method steps.

[0048] Fourthly, embodiments of the present invention provide an electronic device, the electronic device comprising:

[0049] processor;

[0050] Memory used to store the processor's executable instructions;

[0051] The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the above-described method steps.

[0052] In this embodiment of the invention, taking the seismic horizon of the bedrock top surface interpreted and tracked in the target area as the bedrock top surface, and taking a preset time window downwards from the bedrock top surface as the target object, a bedrock seismic waveform classification attribute map of the preset time window is created. The size of the preset time window includes all different types of rocks revealed by the bedrock in the target area. Based on the bedrock seismic waveform classification attribute map and the seismic reflection characteristics of various types of bedrock rocks, the correspondence between different types of bedrock rocks and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map is determined. Based on the correspondence and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, different types of helium source rocks are predicted to obtain prediction results. The helium source rock prediction method provided by this embodiment of the invention can greatly improve the prediction accuracy of helium source rocks without relying on gravity and magnetic data. Attached Figure Description

[0053] Exemplary embodiments of the present invention can be more fully understood by referring to the accompanying drawings. The drawings are provided to further illustrate the embodiments of the present invention and form part of the specification. They are used together with the embodiments of the present invention to explain the invention and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0054] Figure 1 A flowchart illustrating a method for predicting helium source rocks according to an exemplary embodiment of the present invention;

[0055] Figure 2 This is a schematic diagram of different types of bedrock cores in a specific embodiment of the present invention;

[0056] Figure 3 This is a bedrock type interpretation chart established based on core well logging data in a specific embodiment of the present invention. Chart (a) is a bedrock logging interpretation chart established based on natural gamma and sonic transit time logging data, and chart (b) is a bedrock logging interpretation chart established based on natural gamma and deep resistivity logging data.

[0057] Figure 4 This is a geological model diagram of migmatization in a specific example of the present invention;

[0058] Figure 5 This is a schematic diagram of a well-through seismic profile based on the location of the top surface of the bedrock as indicated by the well-drilled synthetic seismic record in a specific embodiment of the present invention;

[0059] Figure 6 This is a schematic diagram of seismic reflection characteristics of different bedrock rocks in a specific example of the present invention: wherein, Figure 6 (a) in the diagram is a schematic diagram of the seismic reflection characteristics of granite. Figure 6 (b) in the diagram is a schematic diagram of the seismic reflection characteristics of the migmatite. Figure 6 (c) in the diagram is a schematic diagram of the seismic reflection characteristics of regional metamorphic rocks;

[0060] Figure 7 This is a classification attribute map of bedrock seismic waveforms for a specific time window from the top surface of the bedrock in a specific embodiment of the present invention;

[0061] Figure 8 This is a planar distribution diagram of different types of helium source rocks in a specific example of the present invention;

[0062] Figure 9 A schematic diagram of the structure of a helium source rock prediction device 900 provided according to an exemplary embodiment of the present invention. Detailed Implementation

[0063] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0064] It should be noted that, unless otherwise stated, the technical or scientific terms used in this invention should have the ordinary meaning as understood by one of ordinary skill in the art.

[0065] Furthermore, the terms "first" and "second," etc., are used to distinguish different objects, not to describe a specific order. Additionally, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to those processes, methods, products, or devices.

[0066] This invention provides a method and apparatus for predicting helium source rocks, an electronic device, and a computer-readable medium, which are described below with reference to the accompanying drawings.

[0067] Example 1

[0068] Please refer to Figure 1 It illustrates a flowchart of a method for predicting helium source rocks provided by some embodiments of the present invention, such as... Figure 1 As shown, the method for predicting helium source rocks may include the following steps:

[0069] Step S101: Using the bedrock top seismic horizon interpreted and tracked in the target area as the bedrock top surface, and the preset time window downward from the bedrock top surface as the target object, create a bedrock seismic waveform classification attribute map for the preset time window.

[0070] It should be noted that the preset time window size can cover all different types of rocks revealed by the bedrock in the target area.

[0071] In a specific application scenario, the preset time window size for earthquake attributes is 200ms from the top of the bedrock.

[0072] In practical applications, bedrock seismic waveform classification attribute maps with preset time windows can be created using commercial seismic interpretation software (such as Geoeast, Geoframe, Landmar, etc.). No specific restrictions are placed on the software used for this purpose.

[0073] In practical applications, the steps for determining the top surface of the bedrock are as follows:

[0074] Step a1: If the target area is an overseas block and the natural gas contains a high concentration of helium, core drilling reveals different types of bedrock. By analyzing and testing the core, the specific bedrock type revealed by the core well can be determined.

[0075] like Figure 2 The diagram shown is a schematic representation of different types of bedrock cores in a specific embodiment of the present invention. As... Figure 2 As shown, rock cores of different types of bedrock, including regional metamorphic rocks, migmatites, and granites, are presented respectively.

[0076] Step a2: Analyze the logging characteristics of the core wells in the target area, clarify the logging parameter characteristics of different types of bedrock, and establish a bedrock logging interpretation chart to provide a basis for interpreting the bedrock types of uncored wells.

[0077] Figure 3 This is a bedrock type interpretation chart established based on core well logging data in a specific embodiment of the present invention. In this embodiment, a chart is established based on the logging curves of four core wells, A, B, C, and D, as shown below. Figure 3 The bedrock logging interpretation chart established using natural gamma and sonic transit time logging data shown in Figure (a) and the logging curves established based on core samples from wells A, B, C, and D are shown in Figure (a). Figure 3 The bedrock interpretation chart shown in chart (b) is based on natural gamma and deep resistivity logging data. Both charts can effectively differentiate and interpret different types of bedrock in the target area.

[0078] Step a3: Analyze the bedrock logging characteristics of the uncored wells in the target area E, F, and G, and identify the bedrock types of the three uncored wells based on the established bedrock logging interpretation chart, and obtain the identification results.

[0079] like Figure 4 The diagram shown is a geological model of migmatization in a specific example of the present invention. Figure 5 As shown, a geological model diagram of regional metamorphic rocks, migmatites, and granites is presented.

[0080] Step a4: Based on the logging data and seismic data of the 7 wells in the target area, a synthetic seismic record is produced, and the location of the top surface of the bedrock revealed by the 7 wells is marked to determine the location of the top surface of the bedrock in the target area on the seismic map.

[0081] like Figure 5 The image shown is a schematic diagram of a well-through seismic profile indicating the location of the bedrock top surface based on the well-synthetic seismic record, as described in a specific embodiment of the present invention. As... Figure 5 As shown, the location of the top surface of the bedrock in the target area can be observed intuitively.

[0082] Step a5: Based on the calibration results of the bedrock top surface corresponding to the 7 wells on the seismic data, interpret and trace the bedrock top surface in the target area, determine the seismic horizon of the bedrock top surface, and use the seismic horizon of the bedrock top surface as the bedrock top surface.

[0083] Among them, seismic horizons based on the top surface of the bedrock provide stratigraphic data for subsequent studies on the seismic properties of the bedrock.

[0084] In practical applications, after determining the top surface of the bedrock, the following operations can be performed: Based on the seismic calibration of the seven wells in the study area, combined with the core test analysis results of the core wells and the well logging interpretation results of the bedrock in the uncore wells, the seismic reflection characteristics of different bedrock rocks revealed by the drilled wells are analyzed to obtain the analysis results. Based on the analysis results, a reference is provided for subsequent identification of different types of bedrock rocks through seismic waveform classification attributes.

[0085] like Figure 6 The image shown is a schematic diagram of seismic reflection characteristics of different bedrock rocks in a specific embodiment of the present invention: where, Figure 6 (a) in the diagram is a schematic diagram of the seismic reflection characteristics of granite. Figure 6 (b) in the diagram is a schematic diagram of the seismic reflection characteristics of the migmatite. Figure 6 (c) is a schematic diagram of the seismic reflection characteristics of regional metamorphic rocks.

[0086] like Figure 6 As shown, the seismic reflection characteristics of granite, migmatite, and regional metamorphic rocks can be observed intuitively in sequence.

[0087] like Figure 6 As shown, the seismic reflection characteristics of granite are: disordered reflection; the seismic reflection characteristics of migmatite are: semi-continuous reflection; and the seismic reflection characteristics of regional metamorphic rock are: continuous reflection.

[0088] Step S102: Based on the bedrock seismic waveform classification attribute map and the seismic reflection characteristics of various types of bedrock rocks, determine the correspondence between different types of bedrock rocks and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map.

[0089] In practical applications, the correspondence between different types of bedrock and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map can be specifically described as follows:

[0090] If the current seismic waveform distribution area is a chaotic reflection seismic waveform distribution area, the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is granite;

[0091] If the current seismic waveform distribution area is a continuously reflected seismic waveform distribution area, the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is regional metamorphic rock;

[0092] If the current seismic waveform distribution area is a semi-continuous reflection seismic waveform distribution area, the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is a mixed rock.

[0093] like Figure 6 As shown, granite, regional metamorphic rocks, and migmatites exhibit a distinct concentric circle distribution pattern.

[0094] like Figure 7 The image shown is a classification attribute diagram of bedrock seismic waveforms for a specific time window below the top surface of the bedrock in a specific example of the present invention.

[0095] like Figure 7 As shown, the correspondence between the different types of bedrock and the different seismic waveform distribution areas displayed in the bedrock seismic waveform classification attribute map includes: the helium source rock type corresponding to the chaotic reflection seismic waveform distribution area is granite, the helium source rock type corresponding to the semi-continuous reflection seismic waveform distribution area is migmatite, and the helium source rock type corresponding to the continuous reflection seismic waveform distribution area is regional metamorphic rock.

[0096] Step S103: Based on the correspondence and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, predict different types of helium source rocks and obtain prediction results.

[0097] In this step S103, the prediction results include:

[0098] If the current seismic waveform distribution area is a chaotic reflection seismic waveform distribution area, then the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is granite; or,

[0099] If the current seismic waveform distribution area is a continuously reflecting seismic waveform distribution area, then the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is regional metamorphic rock; or,

[0100] If the current seismic waveform distribution area is a semi-continuous reflection seismic waveform distribution area, the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is a mixed rock.

[0101] The theoretical basis for the above prediction process is as follows:

[0102] Studies have shown that ancient granites are rich in uranium and thorium, making them high-quality helium source rocks. Large helium-rich reservoirs are generally developed on granite basements; followed by migmatites and regional metamorphic rocks.

[0103] In one possible implementation, the helium source rock prediction method provided in this embodiment of the invention may further include the following steps:

[0104] Obtain the prediction results;

[0105] For different types of helium source rocks in the prediction results, perform at least one of the following operations:

[0106] Delineate the boundaries of different types of helium source rocks;

[0107] Measure the area of ​​helium source rocks of different types;

[0108] For different types of helium source rocks, generate corresponding planar distribution maps of helium source rocks.

[0109] like Figure 8 The diagram shows the planar distribution of different types of helium source rocks in a specific example of this invention. As... Figure 8 As shown, the distribution areas of granite and the number of different distribution areas, the distribution areas of migmatite and the number of different distribution areas, and the distribution areas of regional metamorphic rocks and the number of different distribution areas can be observed intuitively.

[0110] In practical applications, the above-described boundaries of different types of helium source rocks, the measured areas of different types of helium source rocks, and the generated planar distribution maps of different types of helium source rocks can provide a scientific and reasonable basis for calculating the helium generation potential of helium source rocks and selecting the best helium-rich areas.

[0111] In one possible implementation, the helium source rock prediction method provided in this embodiment of the invention may further include the following steps:

[0112] The characteristics of core logging in the target area were analyzed to determine the logging parameters of different types of bedrock.

[0113] Based on the logging parameter characteristics of different types of bedrock, a bedrock logging interpretation chart is established. The bedrock logging interpretation chart is used to identify the bedrock type of wells without core sampling in order to obtain the identification results.

[0114] In one possible implementation, the helium source rock prediction method provided in this embodiment of the invention may further include the following steps:

[0115] The seismic reflection characteristics of different bedrock rocks in the target area were analyzed, and the analysis results were obtained.

[0116] Read the analysis results;

[0117] The analysis results include:

[0118] Given that the current rock is granite, and based on the characteristic that granite lacks stratification, the seismic reflection characteristics of the bedrock of granite are determined to be: discontinuous and disordered medium-to-weak amplitude reflections.

[0119] Given that the current rock is a migmatite, and based on the characteristic of migmatite to have a certain degree of stratification, the seismic reflection characteristics of the bedrock of the migmatite are determined to be: mainly semi-continuous and medium-strong amplitude reflections, and parallel or oblique to the top surface of the bedrock.

[0120] Given that the current rock is a regional metamorphic rock, and based on the good stratification of regional metamorphic rocks, the seismic reflection characteristics of the bedrock of the regional metamorphic rock are determined to be: continuous parallel medium-intensity amplitude reflections, which are parallel to the top surface of the bedrock.

[0121] In practical applications, in addition to obtaining the above analysis results, theoretical analysis can also be performed on the seismic reflection characteristics of different bedrock rocks in the target area. The specific theoretical analysis process is as follows:

[0122] Under the influence of high-temperature underground heat sources, regional metamorphic rocks undergo recrystallization and metasomatism to generate new components, represented by felsic or granitic materials. These components then mix with the original rock components, resulting in migmatization. Depending on the degree of mixing between the new and original rock components, different degrees of migmatism are formed. The advanced evolution product of migmatism is migmatitic granite. Granitic intrusions in the bedrock are important heat sources for migmatization. The distance between the regional metamorphic rocks and the heat source (granitic intrusion) has a significant controlling effect on the degree of migmatization. In plan view, regional metamorphic rocks, migmatites, and granite (heat source) exhibit a concentric circular distribution.

[0123] In practical applications, the seismic reflection characteristics of different bedrock rocks in the target area are analyzed. During the analysis process, the bedrock types revealed by drilling in the target area are determined through analysis and testing of cored wells or logging interpretation of non-cored wells. Simultaneously, well-seismic calibration is performed to clarify the position of the top surface of the bedrock in each well on the seismic profile. Based on this, the seismic reflection characteristics of different bedrock rocks (helium source rocks) revealed by drilling are analyzed to obtain the analysis results.

[0124] The helium source rock prediction method provided in this invention can accurately predict different types of helium source rocks. This prediction method does not rely on gravity and magnetic data, but rather on the mixed evolution geological processes of the basement rocks and the different seismic reflection characteristics of different types of helium source rocks to identify and predict them. This allows for accurate identification and prediction of different types of helium source rocks, significantly improving the accuracy of existing helium source rock prediction methods. Furthermore, after accurately predicting different types of helium source rocks, the method can also delineate the boundaries between them, enabling intuitive and effective differentiation and identification. This provides a more scientific and reasonable method for helium resource evaluation and target area selection, thereby promoting the development and utilization of helium resources.

[0125] In the above embodiments, a method for predicting helium source rocks is provided. Correspondingly, the present invention also provides a device for predicting helium source rocks. The device for predicting helium source rocks provided in the embodiments of the present invention can implement the above-described method for predicting helium source rocks. The device can be implemented by software, hardware, or a combination of both. For example, the device can include integrated or separate functional modules or units to perform the corresponding steps in the above methods.

[0126] Example 2

[0127] Please refer to Figure 9This diagram illustrates a helium source rock prediction device provided by some embodiments of the present invention. Since the device embodiments are substantially similar to the method embodiments, the description is relatively simple; relevant details can be found in the description of the method embodiments. The device embodiments described below are merely illustrative.

[0128] like Figure 9 As shown, the helium source rock prediction device 900 may include:

[0129] Module 901 is used to create a bedrock seismic waveform classification attribute map for a preset time window, where the bedrock top seismic horizon interpreted and tracked in the target area is taken as the bedrock top surface, and the preset time window downward from the bedrock top surface is taken as the target object.

[0130] The determination module 902 is used to determine the correspondence between different types of bedrock and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map based on the bedrock seismic waveform classification attribute map and the seismic reflection characteristics of various types of bedrock rocks.

[0131] The prediction module 903 is used to predict different types of helium source rocks based on the correspondence and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, and obtain the prediction results.

[0132] In some embodiments of the present invention, the helium source rock prediction device 900 provided in the present invention may further include:

[0133] Get module (in) Figure 9 (Not shown in the image), used to obtain prediction results;

[0134] Execution module (in) Figure 9 (Not shown in the image), used to perform at least one of the following operations for different types of helium source rocks in the prediction results:

[0135] Delineate the boundaries of different types of helium source rocks;

[0136] Measure the area of ​​helium source rocks of different types;

[0137] For different types of helium source rocks, generate corresponding planar distribution maps of helium source rocks.

[0138] In some embodiments of the present invention

[0139] The prediction results include:

[0140] If the current seismic waveform distribution area is a chaotic reflection seismic waveform distribution area, then the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is granite; or,

[0141] If the current seismic waveform distribution area is a continuously reflecting seismic waveform distribution area, then the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is regional metamorphic rock; or,

[0142] If the current seismic waveform distribution area is a semi-continuous reflection seismic waveform distribution area, the predicted results include: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is a mixed rock.

[0143] In some embodiments of the present invention, the helium source rock prediction device 900 provided in the present invention may further include:

[0144] First analysis module (in) Figure 9 (Not shown in the image) is used to analyze the core logging characteristics of the target area in order to determine the logging parameter characteristics of different types of bedrock.

[0145] Build a module (in) Figure 9 (Not shown in the image) is used to establish a bedrock logging interpretation chart based on the logging parameter characteristics of different types of bedrock. The bedrock logging interpretation chart is used to identify the bedrock type of wells without core sampling in order to obtain the identification results.

[0146] In some embodiments of the present invention, the helium source rock prediction device 900 provided in the embodiments of the present invention may further include: a second analysis module (in Figure 9 (Not shown in the image) is used to analyze the seismic reflection characteristics of different bedrock rocks in the target area and obtain the analysis results;

[0147] Read module (in) Figure 9 (Not shown in the image) is used to read the analysis results;

[0148] The analysis results read by the reading module include:

[0149] Given that the current rock is granite, and based on the characteristic that granite lacks stratification, the seismic reflection characteristics of the bedrock of granite are determined to be: discontinuous and disordered medium-to-weak amplitude reflections.

[0150] Given that the current rock is a migmatite, and based on the characteristic of migmatite to have a certain degree of stratification, the seismic reflection characteristics of the bedrock of the migmatite are determined to be: mainly semi-continuous and medium-strong amplitude reflections, and parallel or oblique to the top surface of the bedrock.

[0151] Given that the current rock is a regional metamorphic rock, and based on the good stratification of regional metamorphic rocks, the seismic reflection characteristics of the bedrock of the regional metamorphic rock are determined to be: continuous parallel medium-intensity amplitude reflections, which are parallel to the top surface of the bedrock.

[0152] In some embodiments of the present invention, the helium source rock prediction device 900 provided in the present invention is based on the same inventive concept and has the same beneficial effects as the helium source rock prediction method provided in the foregoing embodiments of the present invention.

[0153] Example 3

[0154] This invention provides a computer device including a memory and a processor. The processor is used to read instructions stored in the memory, which can execute a helium source rock prediction method in any of the above method embodiments.

[0155] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0156] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0157] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0158] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0159] Example 4

[0160] This embodiment provides a computer-readable storage medium storing computer-executable instructions that can execute a helium source rock prediction method in any of the above-described method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0161] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method of predicting a source rock of helium, characterized by, The method comprises: In the case that a seismic horizon of a base rock top surface in a target area is taken as the base rock top surface, and a preset time window downward from the base rock top surface is taken as a target object, a base rock seismic waveform classification attribute map of the preset time window is made; According to the base rock seismic waveform classification attribute map and seismic reflection characteristics of different types of rocks of the base rock, a corresponding relationship between the different types of rocks of the base rock and different seismic waveform distribution areas displayed by the base rock seismic waveform classification attribute map is determined; Based on the corresponding relationship and the different seismic waveform distribution areas displayed by the base rock seismic waveform classification attribute map, different types of helium source rocks are predicted, and a prediction result is obtained.

2. The prediction method of claim 1, wherein, The method further comprises: The prediction result is obtained; For different types of helium source rocks in the prediction result, at least one of the following operations is performed: The boundaries of the different types of helium source rocks are delineated; The areas of the different types of helium source rocks are measured; For the different types of helium source rocks, corresponding helium source rock plane distribution maps are generated.

3. The prediction method according to claim 1, wherein The prediction result comprises: If the current seismic waveform distribution area is a chaotic reflection seismic waveform distribution area, the prediction result comprises: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is granite; or If the current seismic waveform distribution area is a continuous reflection seismic waveform distribution area, the prediction result comprises: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is regional metamorphic rock; or If the current seismic waveform distribution area is a semi-continuous reflection seismic waveform distribution area, the prediction result comprises: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is migmatite.

4. The prediction method of claim 1, wherein, The method further comprises: The core logging characteristics of the target area are analyzed to determine logging parameter characteristics of different types of base rock rocks; Based on the logging parameter characteristics of different types of base rock rocks, a base rock rock logging interpretation template is established, which is used to identify the base rock rock types of uncored wells to obtain an identification result.

5. The prediction method of claim 1, wherein, The method further comprises: The seismic reflection characteristics of different base rock rocks in the target area are analyzed to obtain an analysis result; The analysis result is read; The analysis result comprises: In the case that the current rock is determined to be granite, based on the characteristic that granite lacks layering, the base rock rock seismic reflection characteristics of the granite are determined to be discontinuous and chaotic medium-weak amplitude reflection; In the case that the current rock is determined to be migmatite, based on the characteristic that migmatite has certain layering, the base rock rock seismic reflection characteristics of the migmatite are determined to be mainly semi-continuous and medium-strong amplitude reflection, and have a parallel relationship or an oblique relationship with the base rock top surface; In the case that the current rock is determined to be regional metamorphic rock, based on the characteristic that regional metamorphic rock has good layering, the base rock rock seismic reflection characteristics of the regional metamorphic rock are determined to be continuous and parallel medium-strong amplitude reflection, and have a parallel relationship with the base rock top surface.

6. A device for predicting a source rock of helium, characterized by, The device comprises: The module is used to create a bedrock seismic waveform classification attribute map for a preset time window, where the bedrock top seismic horizon interpreted and tracked in the target area is taken as the bedrock top surface, and a preset time window downward from the bedrock top surface is taken as the target object. The determination module is used to determine the correspondence between different types of bedrock and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, based on the bedrock seismic waveform classification attribute map and the seismic reflection characteristics of various types of bedrock rocks. The prediction module is used to predict different types of helium source rocks based on the correspondence and the different seismic waveform distribution areas shown in the bedrock seismic waveform classification attribute map, and obtain prediction results.

7. The prediction device of claim 6, wherein, The device further includes: The acquisition module is used to acquire the prediction results; The execution module is configured to perform at least one of the following operations based on the different types of helium source rocks in the prediction results: Delineate the boundaries of different types of helium source rocks; Measure the area of ​​helium source rocks of different types; For different types of helium source rocks, generate corresponding planar distribution maps of helium source rocks.

8. The prediction device according to claim 6, characterized in that, The prediction results include: If the current seismic waveform distribution area is a chaotic reflection seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is granite; or, If the current seismic waveform distribution area is a continuously reflecting seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is regional metamorphic rock; or, If the current seismic waveform distribution area is a semi-continuous reflection seismic waveform distribution area, then the predicted result includes: the rock type of the helium source rock corresponding to the current seismic waveform distribution area is a mixed rock.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program for performing the prediction method according to any one of claims 1 to 5.

10. An electronic device, comprising: The electronic device includes: processor; Memory for storing the executable instructions of the processor; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the prediction method according to any one of claims 1 to 5.

Images