Method and system for identifying mineral components of buried hill granite reservoir

Abstract

The invention discloses a buried hill granite reservoir mineral composition identification method and system, and relates to the technical field of oil and gas geophysics, and the method comprises the steps: determining the lithologic mineral composition information of a to-be-analyzed buried hill granite reservoir based on the logging information of the to-be-analyzed buried hill granite reservoir; based on the lithologic mineral component information, establishing a multi-dimensional relationship among mineral component contents in the buried hill granite reservoir to be analyzed; and performing joint inversion on the mineral component content of the buried hill granite reservoir to be analyzed by taking the multi-dimensional relationship as a constraint condition. According to the invention, the technical problems of difficult data acquisition and low precision in the prior art are solved.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas geophysics, and in particular to a method and system for identifying mineral components of a buried hill granite reservoir. Background Art

[0002] Due to the complex and changeable rock mineral composition, complex lithology, diverse reservoir space types and strong heterogeneity of buried hill reservoirs, conventional logging data and traditional logging evaluation methods are difficult to effectively identify lithology. Formation element logging (ECS) can obtain the main elements of the formation through spectrum processing, and apply specific oxide closure model technology to invert the main mineral content and corresponding lithology. Compared with element logging, its accuracy is relatively high, but it also requires a large amount of label data support and data acquisition is difficult. Element logging uses characteristic X-rays to identify lithology, which has the advantages of a wide analysis range, short measurement time, and simple data acquisition. However, it requires a large amount of core data and experimental data as data support, and its data sampling interval is large, so its accuracy is lower than that of formation element logging.

[0003] In general, most of the commonly used methods for complex lithology identification currently use only logging data or mud logging data. There are few methods that combine logging data to achieve lithology identification of dual-porosity medium reservoirs, which need to be further improved. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for identifying mineral components of a buried hill granite reservoir in order to solve at least one of the above technical problems.

[0005] In a first aspect, an embodiment of the present invention provides a method for identifying mineral components of a buried hill granite reservoir, comprising: determining lithological mineral component information of the buried hill granite reservoir to be analyzed based on logging information of the buried hill granite reservoir to be analyzed; establishing a multidimensional relationship between the contents of each mineral component in the buried hill granite reservoir to be analyzed based on the lithological mineral component information; and jointly inverting the mineral component content of the buried hill granite reservoir to be analyzed using the multidimensional relationship as a constraint condition.

[0006] Furthermore, the logging information includes: thin section identification information, logging X-ray diffraction information, cuttings logging information and core data information.

[0007] Furthermore, the multidimensional relationship includes:

[0008]

[0009] Among them, V sh 、V sand 、V P-fel and V K-felare the clay content, quartz content, plagioclase content and potassium feldspar content measured by X-ray diffraction, V fel is the sum of the content of plagioclase and potassium feldspar, V ma represents the rock skeleton, φ is the porosity, and a1, a2, b1 and b2 are fitting coefficients.

[0010] In a second aspect, an embodiment of the present invention further provides a system for identifying mineral components of a buried hill granite reservoir, comprising: a determination module, an establishment module and an inversion module; wherein the determination module is used to determine the lithological mineral component information of the buried hill granite reservoir to be analyzed based on the logging information of the buried hill granite reservoir to be analyzed; the establishment module is used to establish a multidimensional relationship between the contents of each mineral component in the buried hill granite reservoir to be analyzed based on the lithological mineral component information; and the inversion module is used to jointly invert the mineral component content of the buried hill granite reservoir to be analyzed using the multidimensional relationship as a constraint condition.

[0011] Furthermore, the logging information includes: thin section identification information, logging X-ray diffraction information, cuttings logging information and core data information.

[0012] Furthermore, the multidimensional relationship includes:

[0013]

[0014] Among them, V sh 、V sand 、V P-fel and V K-fel are the clay content, quartz content, plagioclase content and potassium feldspar content measured by X-ray diffraction, V fel is the sum of the content of plagioclase and potassium feldspar, V ma represents the rock skeleton, φ is the porosity, and a1, a2, b1 and b2 are fitting coefficients.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0016] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, the method described in the first aspect above is implemented.

[0017] The present invention provides a method and system for identifying mineral components in a buried hill granite reservoir, which comprehensively measures logging data, based on optimization calculation theory and logging information calibration, improves the accuracy of formation inversion mineral content in complex reservoirs, and alleviates the technical problems of difficult data acquisition and low accuracy in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A flowchart of a method for identifying mineral components of a buried hill granite reservoir provided by an embodiment of the present invention;

[0020] Figure 2 A schematic diagram of the relationship between the contents of quartz, potassium feldspar and plagioclase in a granite buried hill provided by an embodiment of the present invention;

[0021] Figure 3 A schematic diagram of the relationship between the contents of quartz, feldspar and clay in a granite buried hill provided by an embodiment of the present invention;

[0022] Figure 4 A graph of comprehensive calculation results of mineral content logging in the LS26-1-1 well provided in an embodiment of the present invention;

[0023] Figure 5 A schematic diagram of a buried hill granite reservoir mineral component identification system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Embodiment 1

[0026] Figure 1 1 is a flow chart of a method for identifying mineral components of a buried hill granite reservoir provided according to an embodiment of the present invention. Figure 1 As shown, the method specifically comprises the following steps:

[0027] Step S102: determining the lithology and mineral composition information of the buried-hill granite reservoir to be analyzed based on the logging information of the buried-hill granite reservoir to be analyzed.

[0028] Step S104: establishing a multidimensional relationship between the contents of various mineral components in the buried hill granite reservoir to be analyzed based on the lithology and mineral composition information.

[0029] Step S106, using the multi-dimensional relationship as a constraint condition, jointly inverting the mineral component content of the buried hill granite reservoir to be analyzed.

[0030] Specifically, joint inversion refers to the inversion process that uses the logging analysis results (i.e., multi-dimensional relationships) as constraints and in which logging information also participates. Among them, because the porosity parameters need to be calculated and obtained by logging information, it can be considered that multiple sources of logging information and logging information participate in the joint inversion calculation.

[0031] In an optional implementation manner provided by the embodiment of the present invention, the logging information includes: thin section identification information, logging X-ray diffraction information, cuttings logging information and core data information.

[0032] For example, Table 1 is a statistical table of mineral content of X-ray diffraction data of granite strata in a study area provided according to an embodiment of the present invention. As shown in Table 1:

[0033] Table 1 Statistics of mineral contents of X-ray diffraction data of granite reservoirs in the northern buried hills of the South China Sea

[0034]

[0035]

[0036] Specifically, the multidimensional relationship between the contents of various mineral components in the buried hill granite reservoir to be analyzed includes:

[0037]

[0038] Among them, V sh 、V sand 、V P-fel and V K-fel are the clay content, quartz content, plagioclase content and potassium feldspar content measured by X-ray diffraction, V fel is the sum of the content of plagioclase and potassium feldspar, V ma represents the rock skeleton, φ is the porosity, and a1, a2, b1 and b2 are fitting coefficients.

[0039] For example, based on the mineral component content data in Table 1 above, the relationship between the contents of each mineral component is analyzed as follows: Figure 2 and Figure 3 As shown, Figure 2 1 is a schematic diagram of the relationship between the contents of quartz, potassium feldspar and plagioclase in a granite buried hill provided by an embodiment of the present invention. Figure 3 Schematic diagram of the relationship between the content of quartz, feldspar and clay in a granite buried hill according to an embodiment of the present invention. Figure 2 and Figure 3 As shown, the fitting coefficients in the multidimensional relationship are: a1=0.5483, b1=1.1979, a2=0.2348, b2=0.2934, from which the multidimensional relationship can be obtained as follows:

[0040]

[0041] Finally, the constraints of the optimization calculation of measurement and logging are integrated to jointly invert the content of formation mineral components. Figure 4 A graph showing the comprehensive calculation results of the mineral content logging of the LS26-1-1 well provided in an embodiment of the present invention. Figure 4 Tracks 9, 10, and 11 are the results of the treatment of clay minerals, feldspar, and quartz and the mineral content comparisons obtained from the X-ray diffraction experiment. Figure 4 It can be seen that the calculated results of the main minerals such as quartz, feldspar and clay in the buried hill granite reservoir are highly consistent with the experimental analysis results.

[0042] From the above description, it can be seen that the embodiment of the present invention provides a method for identifying the mineral components of the buried hill granite reservoir, which comprehensively uses the logging data, based on the optimization calculation theory and the logging information scale, to improve the accuracy of the formation inversion mineral content in complex reservoirs, thereby alleviating the technical problems of difficult data acquisition and low accuracy in the prior art.

[0043] Embodiment 2

[0044] Figure 5 FIG. 1 is a schematic diagram of a buried hill granite reservoir mineral component identification system provided according to an embodiment of the present invention. Figure 5 As shown, the system includes: a determination module 10 , an establishment module 20 and an inversion module 30 .

[0045] Specifically, the determination module 10 is used to determine the lithology and mineral composition information of the buried hill granite reservoir to be analyzed based on the logging information of the buried hill granite reservoir to be analyzed;

[0046] Establishing module 20, for establishing a multidimensional relationship between the contents of various mineral components in the buried hill granite reservoir to be analyzed based on the lithology and mineral composition information;

[0047] The inversion module 30 is used to jointly invert the mineral component content of the buried hill granite reservoir to be analyzed by taking the multi-dimensional relationship as a constraint condition.

[0048] Specifically, the logging information includes: thin section identification information, logging X-ray diffraction information, cuttings logging information and core data information.

[0049] Specific, multi-dimensional relationships include:

[0050]

[0051] Among them, V sh 、V sand 、V P-fel and V K-fel are the clay content, quartz content, plagioclase content and potassium feldspar content measured by X-ray diffraction, V fel is the sum of the content of plagioclase and potassium feldspar, V ma represents the rock skeleton, φ is the porosity, and a1, a2, b1 and b2 are fitting coefficients.

[0052] The present invention further provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method in the above-mentioned embodiment 1 when executing the computer program.

[0053] The present invention also provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed by a processor, the method in the above-mentioned embodiment 1 is implemented.

[0054] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0055] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for identifying mineral components of buried hill granite reservoir, characterized in that: include: Based on the logging information of the buried hill granite reservoir to be analyzed, determining the lithology and mineral composition information of the buried hill granite reservoir to be analyzed; Based on the lithology and mineral composition information, a multidimensional relationship between the contents of various mineral components in the buried hill granite reservoir to be analyzed is established; The multidimensional relationship is used as a constraint condition to jointly invert the mineral component content of the buried hill granite reservoir to be analyzed.

2. The method according to claim 1, characterized in that: The logging information includes thin section identification information, logging X-ray diffraction information, rock cuttings logging information and core data information.

3. The method according to claim 1, characterized in that: The multi-dimensional relationship includes: Among them, V sh 、V sand 、V P-fel and V K-fel are the clay content, quartz content, plagioclase content and potassium feldspar content measured by X-ray diffraction, V fel is the sum of the content of plagioclase and potassium feldspar, V ma represents the rock skeleton, φ is the porosity, and a1, a2, b1 and b2 are fitting coefficients.

4. A buried hill granite reservoir mineral component identification system is characterized by: include: Determine the module, establish the module and invert the module; among them, The determination module is used to determine the lithology and mineral composition information of the buried hill granite reservoir to be analyzed based on the logging information of the buried hill granite reservoir to be analyzed; The establishment module is used to establish a multidimensional relationship between the contents of various mineral components in the buried hill granite reservoir to be analyzed based on the lithology and mineral composition information; The inversion module is used to jointly invert the mineral component content of the buried hill granite reservoir to be analyzed using the multidimensional relationship as a constraint condition.

5. The system according to claim 4, characterized in that: The logging information includes thin section identification information, logging X-ray diffraction information, rock cuttings logging information and core data information.

6. The system according to claim 4, characterized in that: The multi-dimensional relationship includes: Among them, V sh 、V sand 、V P-fel and V K-fel are the clay content, quartz content, plagioclase content and potassium feldspar content measured by X-ray diffraction, V fel is the sum of the content of plagioclase and potassium feldspar, V ma represents the rock skeleton, φ is the porosity, and a1, a2, b1 and b2 are fitting coefficients.

7. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 3 when executing the computer program.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, the method according to any one of claims 1 to 3 is implemented.

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