Method and device for establishing deepwater sedimentary geology knowledge base

Abstract

The invention discloses a method and a device for establishing a deepwater deposition geological knowledge base. The method comprises the following steps: collecting related data of a deepwater deposition system; performing retrieval according to the collected data, and determining related information of the deepwater deposition system; retrieval is performed according to the collected data, and related information and characterization parameters of the deepwater deposition structure unit are determined; and establishing a corresponding relationship between the deepwater deposition structure unit and the deepwater deposition system to obtain a deepwater deposition geological knowledge base.

Description

Technical Field

[0001] The present invention relates to the field of petroleum geology technology, and in particular to a method and device for establishing a deepwater sedimentary geological knowledge base. Background Art

[0002] Deepwater oil and gas exploration drilling costs are high, coring data is scarce, and there is a lack of effective quantitative comparison technology for the evaluation of low-abundance blocks in new areas and new fields.

[0003] The existing deepwater sedimentary system analogy methods are usually based on data collected from neighboring areas. However, due to the complexity of the structure and sedimentary background of deepwater sedimentary systems, there are limitations and risks in relying solely on data from neighboring areas to compare sedimentary structural units. For example, the scale of submarine fans developed in active continental margin basins and passive continental basins is often very different, and the sedimentary characteristics of sedimentary structural unit types developed in mud-rich sedimentary systems and sand-rich sedimentary systems are quite different. Due to the research scale, the degree of refinement of deepwater sedimentary structural units based on outcrop and seismic data is quite different, etc. The above situations are not suitable for direct analogy of quantitative parameters of sedimentary structural units of different deepwater sedimentary systems. Classification and grading quantitative comparison based on two scales of deepwater sedimentary system and deepwater sedimentary structural unit is more scientific and effective.

[0004] Therefore, it is an urgent problem to realize a method for constructing a geological knowledge base based on a two-level structure of deep-water sedimentary systems and deep-water sedimentary structural units. Summary of the invention

[0005] The present application provides a method and device for establishing a deepwater sedimentary geological knowledge base. The method solves the problem of difficulty in comparative evaluation of deepwater sedimentary systems at two scales, sedimentary system and sedimentary structural unit, by establishing a corresponding relationship between the deepwater sedimentary structural unit and the classification and grading of the deepwater sedimentary system.

[0006] In a first aspect, the present application provides a method for establishing a deepwater sedimentary geological knowledge base, the method comprising:

[0007] Collect relevant data on deep-water sedimentary systems;

[0008] Search and determine relevant information about deep-water sedimentary systems based on the collected data;

[0009] Retrieve and determine relevant information and characterization parameters of deep-water sedimentary structural units based on the collected data;

[0010] A correspondence between the deepwater sedimentary structural unit and the deepwater sedimentary system is established to obtain a deepwater sedimentary geological knowledge base.

[0011] In a second aspect, an embodiment of the present invention further provides a device for establishing a deep-water sedimentary geological knowledge base, the device comprising: a memory and a processor; the memory is used to store a program for establishing a deep-water sedimentary geological knowledge base, and the processor is used to read and execute the program for establishing a deep-water sedimentary geological knowledge base, and execute any one of the methods described in the above embodiments.

[0012] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a data processing program is stored, and the data processing program is executed by a processor to perform the method for establishing a deep-water sedimentary geological knowledge base described in any one of the above embodiments.

[0013] Compared with the related art, the present application provides a method and device for establishing a deepwater sedimentary geological knowledge base, the method comprising: collecting data related to the deepwater sedimentary system; searching and determining the relevant information of the deepwater sedimentary system according to the collected data; searching and determining the relevant information and characterization parameters of the deepwater sedimentary structural unit according to the collected data; establishing a correspondence between the deepwater sedimentary structural unit and the deepwater sedimentary system to obtain a deepwater sedimentary geological knowledge base. The present application can achieve comparative evaluation at two scales, sedimentary system and sedimentary structural unit, by establishing a classification and grading correspondence between the deepwater sedimentary structural unit and the deepwater sedimentary system.

[0014] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or be understood by implementing the present application. Other advantages of the present application can be realized and obtained by the schemes described in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide an understanding of the technical solution of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0016] Figure 1 A flow chart of a method for establishing a deepwater sedimentary geological knowledge base according to an embodiment of the present application;

[0017] Figure 2 A schematic diagram of a device for establishing a deep-water sedimentary geological knowledge base according to an embodiment of the present application;

[0018] Figure 3 A schematic diagram of archiving information of deep-water sedimentary systems extracted from the text in some exemplary embodiments;

[0019] Figure 4 A schematic diagram of a classification scheme for deepwater sedimentary structural units in some exemplary embodiments;

[0020] Figure 5 A schematic diagram of archiving water channel and block transport sedimentary structural units using a seismic profile as an example in some exemplary embodiments;

[0021] Figure 6 A schematic diagram of a dual-level knowledge base architecture of deepwater sedimentary systems and deepwater sedimentary structural units in some exemplary embodiments;

[0022] Figure 7 Schematic diagram of a process for searching through a deepwater sedimentary geological knowledge base in some exemplary embodiments. DETAILED DESCRIPTION

[0023] The present application describes multiple embodiments, but the description is exemplary rather than restrictive, and it is obvious to those skilled in the art that there may be more embodiments and implementations within the scope of the embodiments described in the present application. Although many possible feature combinations are shown in the drawings and discussed in the specific embodiments, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with any other feature or element in any other embodiment, or may replace any other feature or element in any other embodiment.

[0024] The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features and elements disclosed in the present application may also be combined with any conventional features or elements to form a unique invention scheme defined by the claims. Any features or elements of any embodiment may also be combined with features or elements from other invention schemes to form another unique invention scheme defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in the present application may be implemented individually or in any appropriate combination. Therefore, except for the limitations made according to the attached claims and their equivalents, the embodiments are not subject to other restrictions. In addition, various modifications and changes may be made within the scope of protection of the attached claims.

[0025] In addition, when describing representative embodiments, the specification may have presented the method and / or process as a specific sequence of steps. However, to the extent that the method or process does not rely on the specific order of the steps described herein, the method or process should not be limited to the steps of the specific order described. As will be understood by those of ordinary skill in the art, other sequences of steps are also possible. Therefore, the specific sequence of the steps set forth in the specification should not be interpreted as a limitation to the claims. In addition, the claims for the method and / or process should not be limited to the steps of performing them in the order written, and those skilled in the art can easily understand that these sequences can be changed and still remain within the spirit and scope of the embodiments of the present application.

[0026] The embodiment of the present invention provides a method for establishing a deep-water sedimentary geological knowledge base, such as Figure 1 As shown, the method includes steps S100-S130:

[0027] S100: Collect data on deep-water sedimentary systems;

[0028] S110: Search and determine relevant information about deep-water sedimentary systems based on the collected data;

[0029] S120: Search and determine relevant information and characterization parameters of deep-water sedimentary structural units based on the collected data;

[0030] S130: Establishing a correspondence between the deepwater sedimentary structural unit and the deepwater sedimentary system to obtain a deepwater sedimentary geological knowledge base.

[0031] In an exemplary embodiment, the deepwater sedimentation system related data includes one or more of the following:

[0032] Journal articles, conference papers, dissertations, books, and reports related to deepwater sedimentation.

[0033] In an exemplary embodiment, searching and determining relevant information about the deepwater sedimentary system based on the collected data includes:

[0034] Step 1. Search the collected data according to preset keywords; wherein the preset keywords include one or more of the following: deepwater fan, turbidite fan, submarine fan, deepwater basin, deepwater fan system. That is, according to the keywords such as deepwater fan, turbidite fan, submarine fan, deepwater basin, deepwater fan system, etc., search in metadata to determine the name of the deepwater sedimentary system; such as Bengal fan, Indian fan, Pearl River deepwater fan, etc.

[0035] Step 2. Determine the name of the deep-water sedimentary system in the geological knowledge base to be established based on the search results;

[0036] Step 3. Establish relevant information corresponding to each deep-water sedimentary system based on the search results and the name of the deep-water sedimentary system.

[0037] Among them, the relevant information corresponding to the deep-water sedimentary system includes one or more of the following: stratigraphic age, geographic coordinates, data type, tectonic background, sedimentary background, main grain size, continental slope gradient, shelf width, and provenance system corresponding to the deep-water sedimentary system.

[0038] In an exemplary embodiment, the information data such as stratigraphic age, geographic coordinates, data type, tectonic background, sedimentary background, main grain size, continental slope gradient, shelf width, provenance system, etc. corresponding to the deep-water sedimentary system are sorted out for archiving, such as Figure 3 As shown. The stratigraphic age can include one or more geological historical periods. The unit of stratigraphic age can be era, epoch or stage. The current seafloor data is defined as "present". The coordinates are the longitude and latitude coordinates of the sedimentary system described in the literature and data, accurate to degrees, minutes or seconds. The data types include 2D seismic data, 3D seismic data, core data, outcrop data, side-scan sonar and other types. The main grain sizes include mud-rich, sand-rich, gravel-rich and other types. The tectonic background includes active continental margin, passive continental margin, convergent, discrete, conversion and other types. The slope gradient is the angle between the continental slope and the submarine plain described in the data, which can be a certain value (such as 1 degree) or a certain range (such as >3 degrees). The shelf width is the distance between the coastline and the shelf slope break zone described in the data, which can be a certain value (such as 100km) or a certain range (<10km). The provenance system is the provenance supply system described in the data, including point provenance, line provenance, multiple provenance and other types. If the above parameters cannot be obtained in the data, they are defined as "none".

[0039] In an exemplary embodiment, searching and determining relevant information and characterization parameters of deep-water sedimentary structural units based on the collected data includes:

[0040] Step 1. Search and determine the type of deep-water sedimentary structural unit based on the collected data;

[0041] Step 2. According to the preset classification method, the sedimentary units in the data that cannot be classified into the five types of sedimentary structural units are checked for approximate terms, and classified into the types of the five types of deep-water sedimentary structural units according to the integrated classification method; wherein the types of the five types of deep-water sedimentary structural units include: canyons, waterways, natural levees, lobes, and block transport deposits.

[0042] The method for integrating classification comprises:

[0043] Sliding blocks, slump deposits, and debris flow deposits are uniformly classified as block transport sedimentary units;

[0044] Single watercourses, complex watercourses, watercourse systems, and complex watercourse systems are uniformly classified as watercourse units;

[0045] Lobe, sheet sand, crevasse fan, composite lobe, composite lobe, lobe complex, and lobe complex are uniformly classified as lobe unit types.

[0046] Step 3. Determine the relevant characterization parameters for each type of deep-water sedimentary structural unit.

[0047] The relevant characterization parameters include: lithofacies type, spatial superposition relationship, and volume parameters.

[0048] Step 31. If the data clearly describe the lithofacies types (such as massive bedding conglomerate, parallel bedding sandstone, normal grain sequence sandstone, mudstone, etc.) and spatial superposition relationships (lateral accumulation, vertical accumulation, lateral migration followed by vertical accumulation, progradation, retrogradation, etc.) of deepwater sedimentary structural units such as canyons, waterways, natural levees, lobes, and block transport deposits, extract the relevant descriptions and create files;

[0049] Step 32. If the data has quantitative representations of volume parameters (length, width, thickness, etc.) of deepwater sedimentary structural units such as canyons, waterways, natural levees, lobes, and block transport deposits, extract the relevant quantitative parameters and create a file;

[0050] Step 33. If the data do not provide quantitative representation of the volume parameters (length, width, thickness, etc.) of deepwater sedimentary structural units such as canyons, waterways, natural levees, lobes, and block transport deposits, but the data include seismic interpretation results maps, side-scan sonar interpretation results maps, cores, outcrop photos, sedimentary patterns and other data, manual measurements can be made according to the scale based on the relevant results maps, such as Figure 5 As shown in the figure, the following parameters were obtained by manual measurement according to the scale of the relevant results map: structural unit type: waterway, width: ~6000 meters, thickness: ~600 meters, spatial superposition relationship: lateral accumulation, vertical accumulation; structural unit type: block transport deposition, thickness: ~600 meters, and the measurement results were archived. Measure the maximum width and depth of the canyon, the maximum width and maximum depth of the waterway, the maximum thickness and maximum width of the natural levee, the maximum length, maximum width and maximum thickness of the lobes, and the maximum length, maximum width and maximum thickness of the block transport deposition. If any of the above parameters cannot be obtained in the data, it is defined as "none" and all the obtained volume parameters are archived.

[0051] In an exemplary embodiment, a correspondence between the deepwater sedimentary structure unit and the deepwater sedimentary system is established to obtain a deepwater sedimentary geological knowledge base. The established deepwater sedimentary system and deepwater sedimentary structure unit correspondence double-level database, such as Figure 6 A deep-water sedimentary system corresponds to one or more deep-water sedimentary structural unit types. A deep-water sedimentary structural unit type can correspond to multiple lithofacies types, spatial superposition relationship descriptions and volume parameters (length, width, thickness, etc.) quantitative characterization. If the same deep-water sedimentary structural unit can correspond to one or more lithofacies types, spatial superposition relationship descriptions and volume parameters (length, width, thickness, etc.) according to its development position, they will be numbered and filed separately.

[0052] In an exemplary embodiment, after establishing a deepwater sedimentary geological knowledge base, the process of using the knowledge base for data screening is: screening from deepwater sedimentary system parameter characteristics to a function of outputting statistical characteristics of a certain deepwater sedimentary structural unit type, such as Figure 7As shown in the figure, by screening and combining the information data of deep-water sedimentary systems (stratigraphic age, geographic coordinates, data type, tectonic background, sedimentary background, main grain size, continental slope gradient, shelf width, provenance system, etc.), deep-water sedimentary systems or deep-water sedimentary system groups that meet the preconditions are screened out, and the types and quantities of deep-water structural units contained in the screening results are displayed. By further screening a certain deep-water structural unit type, the statistical values ​​of the description and volume parameters of the deep-water structural unit type including lithofacies type, spatial superposition relationship, etc. are output.

[0053] The embodiment of the present invention also provides a device for establishing a deep-water sedimentary geological knowledge base, such as Figure 2 As shown, the device includes: a memory 200 and a processor 210; the memory is used to store a program for establishing a deep-water sedimentary geological knowledge base, and the processor is used to read and execute the program for establishing a deep-water sedimentary geological knowledge base, and execute any one of the methods in the above embodiments.

[0054] An embodiment of the present invention further provides a computer-readable storage medium, on which a data processing program is stored, and the data processing program is executed by a processor to perform the method for establishing a deep-water sedimentary geological knowledge base described in any one of the above embodiments.

[0055] Example 1

[0056] This example shows the process of establishing a deepwater sedimentary geological knowledge base and the process of applying the established knowledge base, as follows:

[0057] Step 1. Collect relevant data on deep-water sedimentary systems;

[0058] Step 2. Search and determine relevant information about the deep-water sedimentary system based on the collected data;

[0059] Step 21. Search the collected data according to the preset keywords;

[0060] The preset keywords include one or more of the following: deep water fan, turbidite fan, submarine fan, deep water basin, and deep water fan system.

[0061] Step 22. Determine the name of the deep-water sedimentary system in the geological knowledge base to be established according to the search results;

[0062] The names of the deep-water sedimentary systems include: Bengal Fan, Indian Fan, and Pearl River Deepwater Fan.

[0063] Step 23. Establish relevant information corresponding to each deep-water sedimentary system based on the search results and the name of the deep-water sedimentary system.

[0064] Step 3. Search and determine the relevant characterization parameters of deep-water sedimentary structural units based on the collected data;

[0065] Step 31. Search and determine the type of deep-water sedimentary structural unit based on the collected data;

[0066] Step 32. According to the preset classification method, the sedimentary units in the data that cannot be classified into the five types of sedimentary structural units are checked for approximate terms and classified and integrated according to the five types of structural units; Figure 4 shown.

[0067] Step 33. Determine the relevant characterization parameters for each type of deep-water sedimentary structural unit.

[0068] Among them, relevant characterization parameters include: lithofacies type, spatial superposition relationship, and volume parameters.

[0069] Step 4. Establish a corresponding relationship between the deepwater sedimentary structural unit and the deepwater sedimentary system to obtain a deepwater sedimentary geological knowledge base.

[0070] The corresponding relationship between the deep-water sedimentary structural unit and the deep-water sedimentary system is as follows: Figure 6 shown.

[0071] Step 5. Based on the constructed deep-water sedimentary geological knowledge base, the deep-water sedimentary system parameter characteristics are screened to the statistical characteristics of a certain deep-water sedimentary structural unit type, such as Figure 7 As shown, through combined screening, the target sedimentary system or target sedimentary system group is determined, and all target sedimentary structural units are output. According to the deep-water sedimentary structural unit level, a certain sedimentary structural unit type is selected, and the qualitative and quantitative parameters of the unit are output, such as: lithofacies type, spatial superposition relationship, volume parameters (length, width, thickness, etc.).

[0072] This application example establishes a geological knowledge base of deepwater sedimentary systems and deepwater sedimentary structural units with two-level structures based on the classification, extraction and statistics of deepwater sedimentary geological and geophysical parameter information. Based on the parameter screening of the deepwater sedimentary system level, sedimentary systems with similar structural, sedimentary and other backgrounds are selected. On this basis, the lithofacies types, spatial superposition relationships and volume parameters (length, width, thickness, etc.) of the deepwater sedimentary structural unit level are compared to solve the problem of difficulty in comparing deepwater sedimentary systems with multiple data types.

[0073] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

Claims

1. A method for establishing a deepwater sedimentary geological knowledge base, characterized in that: The method comprises: Collect relevant data on deep-water sedimentary systems; Search and determine relevant information about deep-water sedimentary systems based on the collected data; Retrieve and determine relevant information and characterization parameters of deep-water sedimentary structural units based on the collected data; A correspondence between the deepwater sedimentary structural unit and the deepwater sedimentary system is established to obtain a deepwater sedimentary geological knowledge base.

2. The method for establishing a deepwater sedimentary geological knowledge base according to claim 1, characterized in that: The deepwater sedimentary system related information includes one or more of the following: Journal articles, conference papers, dissertations, books, and reports related to deepwater sedimentation.

3. The method for establishing a deepwater sedimentary geological knowledge base according to claim 1, characterized in that: The relevant information of the deep-water sedimentary system is retrieved and determined based on the collected data, including: Search the collected data according to preset keywords; Determine the name of the deep-water sedimentary system in the geological knowledge base to be established according to the search results; According to the search results and the name of the deep-water sedimentary system, relevant information corresponding to each deep-water sedimentary system is established.

4. The method for establishing a deepwater sedimentary geological knowledge base according to claim 3, characterized in that: The preset keywords include one or more of the following: deep water fan, turbidite fan, submarine fan, deep water basin, and deep water fan system.

5. The method for establishing a deepwater sedimentary geological knowledge base according to claim 3, characterized in that: The relevant information corresponding to the deep-water sedimentary system includes one or more of the following: stratigraphic age, geographic coordinates, data type, tectonic background, sedimentary background, main grain size, continental slope gradient, shelf width, and provenance system corresponding to the deep-water sedimentary system.

6. The method for establishing a deepwater sedimentary geological knowledge base according to claim 1, characterized in that: The above-mentioned searching and determining the relevant information and characterization parameters of the deep-water sedimentary structural unit based on the collected data includes: Based on the collected data, five types of deep-water sedimentary structural units were searched and determined; According to the preset classification method, the sedimentary units that cannot be classified into the five types of sedimentary structural units in the data are checked for approximate terms and classified into the corresponding deep-water sedimentary structural unit types according to the integrated classification method; Determine the relevant characterizing parameters for each type of deep-water sedimentary structural unit.

7. The method for establishing a deepwater sedimentary geological knowledge base according to claim 6, characterized in that: The five types of deep-water sedimentary structural units include: canyon, waterway, natural levee, lobe, and mass transport deposits.

8. The method for establishing a deepwater sedimentary geological knowledge base according to claim 7, characterized in that: The method for integrating classification comprises: Sliding blocks, slump deposits, and debris flow deposits are uniformly classified as block transport sedimentary units; Single watercourses, complex watercourses, watercourse systems, and complex watercourse systems are uniformly classified as watercourse units; Lobe, sheet sand, crevasse fan, composite lobe, composite lobe, lobe complex, and lobe complex are uniformly classified as lobe unit types.

9. The method for establishing a deepwater sedimentary geological knowledge base according to claim 6, characterized in that: The relevant characterization parameters include: lithofacies type, spatial superposition relationship, and volume parameters.

10. The method for establishing a deepwater sedimentary geological knowledge base according to claim 1, characterized in that: The corresponding relationship between the deep-water sedimentary structural unit and the deep-water sedimentary system is: A deep-water sedimentary system corresponds to one or more deep-water sedimentary structural unit types.

11. A device for establishing a deepwater sedimentary geological knowledge base, characterized in that: The device includes: a memory and a processor; the memory is used to store a program for establishing a deep-water sedimentary geological knowledge base, and the processor is used to read and execute the program for establishing a deep-water sedimentary geological knowledge base, and execute the method described in any one of claims 1-10.

12. A computer-readable storage medium having a data processing program stored thereon, wherein the data processing program is executed by a processor to implement the method for establishing a deep-water sedimentary geological knowledge base as described in any one of claims 1 to 10.

Images