Quantitative identification method, system and equipment for lithology of igneous rock and storage medium

Abstract

The invention discloses an igneous rock lithology quantitative identification method, system and device and a storage medium. The method comprises the steps that logging sensitive parameters are measured in an igneous rock development layer section; lithology factors of igneous rocks are analyzed and calculated based on the obtained sensitive parameters, an igneous rock preliminary division standard is formulated based on the lithology factors of the igneous rocks, and the igneous rocks divided based on the preliminary division standard comprise medium-acid eruption rocks, basalt and tuff, and a lithology factor equation of the medium-acid eruption rocks is established; according to the method, lithology in the medium-acid eruption rocks is achieved, a secondary division standard is formulated based on the obtained lithology factors of the medium-acid eruption rocks, the medium-acid eruption rocks divided based on the secondary division standard comprise andesite and Inan rocks, and igneous rock lithology quantitative judgment is completed. The method disclosed by the invention can be simultaneously used with other chart methods and other evaluation methods, does not conflict with each other, and is beneficial to improving the igneous rock lithology interpretation coincidence rate.

Description

Technical Field

[0001] The invention belongs to the technical field of lithology identification in petroleum, and relates to a method, system, equipment and storage medium for quantitative identification of igneous rock lithology. Background Art

[0002] Igneous rocks are formed by magma erupting onto the surface or intruding into the crust and cooling and solidifying. In recent years, igneous rock reservoirs have attracted widespread attention in oil and gas exploration at home and abroad as a new type of oil and gas reservoir. The basis of reservoir evaluation is lithology identification, but due to different eruption methods and structural locations, volcanic rock lithology varies greatly. Even in the same block, the primary and secondary minerals contained in volcanic rocks are different, so it is quite difficult to accurately identify the lithology of volcanic rocks.

[0003] Igneous rocks have complex genesis and diverse types. These complexities and diversity increase the difficulty of identifying igneous rock lithology. At present, igneous rock lithology identification is mainly based on unconventional data such as core observation, core thin sections, element logging and element capture logging. The actual operation is complicated, the cost is too high, and the universality is not strong. Conventional logging data has high regional coverage and low cost. It is of practical significance to carry out the work of using conventional logging data to identify igneous rock lithology.

[0004] At present, in view of the inadequacy of igneous rock lithology identification, some scholars have used core, logging and other data to identify igneous rocks; used logging crossplots to distinguish different types of igneous reservoirs; established logging response equations for density, apparent neutron porosity, acoustic wave time difference, gamma ray and volume photoelectric absorption cross-section index, calculated the volume content of minerals in the rock skeleton to study the logging response characteristics of different lithologies, and based on the analysis of the correlation between lithology and electrical properties, used multi-parameter crossplot method and neural network method to establish an igneous rock lithology identification model. ; Through the intersection analysis of the logging data of igneous rocks, a logging phase identification template for igneous rocks of different lithologies was established. The seismic phase characteristics of different igneous rocks were established by logging phase constraints and well-seismic synthetic record calibration, and the lithology of igneous rocks was described by vertical sub-layering and horizontal facies division; through the ECS logging (element capture spectrum logging) data, rock thin sections and cuttings logging data, the characteristic values ​​of igneous rock logging responses were statistically calculated, and the physical quantities and parameters sensitive to the lithology response of igneous rocks were selected for intersection analysis, and a set of igneous rock lithology identification plates was established.

[0005] However, these methods are not universal, and the identification of igneous rock properties is not precise enough and the accuracy is not high. The current identification methods only stay at the qualitative identification level and the methods are not very operational. Among the existing methods, there is no method for quantitative identification of igneous rock properties based on conventional logging data that should be applied on site. Summary of the invention

[0006] The purpose of the present invention is to solve the problems that the methods in the prior art are not universal, the discrimination of igneous rock lithology is not precise enough, the accuracy is not high, they remain in the qualitative identification aspect and the method is not operational, and they cannot be applied to the side recording well site. A method, system, equipment and storage medium for quantitative identification of igneous rock lithology are provided.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A method for quantitatively identifying lithology of igneous rocks comprises the following steps:

[0009] S1: Measure the sensitive parameters of mud logging in the igneous rock development interval;

[0010] S2: Calculate the lithology factor of igneous rocks based on the acquired sensitive parameters, and formulate the preliminary classification standard of igneous rocks based on the lithology factor of igneous rocks. The igneous rocks classified according to the preliminary classification standard include intermediate-acid extrusive rocks, basalts and tuffs;

[0011] S3: Establish the lithology factor equation of intermediate-acidic extrusive rocks, calculate the lithology of intermediate-acidic extrusive rocks, and formulate the secondary classification standard of igneous rocks based on the obtained lithology factors of intermediate-acidic extrusive rocks. The intermediate-acidic extrusive rocks divided according to the secondary classification standard of igneous rocks include andesite and dacite, thus completing the quantitative identification of the lithology of igneous rocks.

[0012] A further improvement of the present invention is:

[0013] In step S1, the sensitive parameters of well logging include natural gamma ray GR, acoustic time difference AC, wellbore CAL, resistivity, drilling time ROP and bit pressure WOB.

[0014] In step S2, the igneous rock lithology factor is calculated by formula (1):

[0015]

[0016] Where P cs It is defined as the igneous rock lithology factor; CAL is the wellbore diameter; GR is the natural gamma; WOB is the bit pressure; ROP is the drilling time.

[0017] Step S2 also includes normalizing the obtained igneous rock lithology factors:

[0018]

[0019] Where P gy Defined as the normalized igneous lithology factor;

[0020] The preliminary classification standard of igneous rocks is formulated based on the normalized igneous rock lithology factor.

[0021] In step S2, the preliminary classification criteria for igneous rocks include:

[0022] When the normalized igneous rock lithology factor satisfies 0≤P gy When ≤0.2, it is basalt;

[0023] When the normalized igneous rock lithology factor satisfies 0.2<P gy When ≤0.4, it is tuff;

[0024] When the normalized igneous rock lithology factor satisfies 0.4<P gy When ≤1, it is intermediate-acidic extrusive rock.

[0025] In step S3, the lithology factor equation of intermediate-acidic extrusive rock is established:

[0026]

[0027] Where: P ds Defined as the lithology factor of intermediate-acid extrusive rocks; RD is the deep lateral resistivity; RS is the shallow lateral resistivity; AC is the acoustic time difference.

[0028] In step S3, the obtained lithology factor of the intermediate-acidic extrusive rock is normalized:

[0029]

[0030] Where: P dy Defined as the normalized intermediate-acid extrusive rock lithology factor;

[0031] A secondary classification standard is developed based on the normalized lithology factor of intermediate-acidic extrusive rocks to distinguish between dacite and andesite.

[0032] A lithology quantitative identification system for igneous rocks, comprising a parameter acquisition module, a lithology preliminary classification module and a lithology secondary classification module;

[0033] Parameter acquisition module, used to measure sensitive parameters of logging in igneous rock development layers;

[0034] The module for preliminary lithology classification is used to analyze and calculate the lithology factors of igneous rocks based on the acquired sensitive parameters, and to formulate preliminary classification standards for igneous rocks based on the lithology factors of igneous rocks. The igneous rocks classified according to the preliminary classification standards include intermediate-acid extrusive rocks, basalts and tuffs.

[0035] The lithology secondary division module is used to establish the lithology factor equation of intermediate-acidic extrusive rocks, realize the lithology in intermediate-acidic extrusive rocks, formulate secondary division standards based on the obtained lithology factors of intermediate-acidic extrusive rocks, and the intermediate-acidic extrusive rocks divided based on the secondary division standards include andesite and dacite, completing the quantitative identification of igneous rock lithology.

[0036] A terminal device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any method described in the present invention when executing the computer program.

[0037] A computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of any method described in the present invention.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention discloses a method for quantitatively identifying igneous rock lithology, which measures sensitive parameters of logging and well logging, establishes equations through the sensitive parameters, realizes preliminary identification of igneous rock lithology, and then re-identifies intermediate-acidic extrusive rocks on the basis of the preliminary identification, realizes final identification and differentiation of igneous rocks, and gradually amplifies the originally tiny logging and well logging response differences between different igneous rock lithologies through two gradual identifications, so that the accuracy of lithology identification results is higher, and the sensitive parameters obtained in the early stage can be determined according to the existing logging and well logging data. The method is simple and has strong adaptability, and can be quickly calculated and identified through on-site data measurement, and has high operability for on-site application, and the method disclosed by the present invention can be used simultaneously with other evaluation methods such as plate method, and there is no conflict, which is helpful to improve the conformity rate of igneous rock lithology interpretation, and the method disclosed by the present invention can effectively guide the oil and gas exploration area selection work.

[0040] Furthermore, in the present invention, the sensitive parameters obtained in step S1 are selected based on the differences between different lithologies of igneous rocks recorded in existing materials, which is convenient for increasing the differences between different lithologies in subsequent calculations, and the early data is easy to obtain and has strong generalizability.

[0041] Furthermore, in the present invention, according to the differences in different sensitive parameters corresponding to each rock recorded in the existing data, the parameter natural gamma GR of basalt and tuff which is smaller than that of intermediate-acidic extrusive rock is used as the numerator, and the parameter wellbore CAL which is larger than that of intermediate-acidic extrusive rock is used as the denominator, combined with the difference in ROP of basalt, tuff and intermediate-acidic extrusive rock under the same drilling pressure WOB conditions, the difference in logging response of basalt, tuff and intermediate-acidic extrusive rock is combined and amplified, thereby improving the accuracy of distinguishing intermediate-acidic extrusive rock, basalt and tuff.

[0042] Furthermore, in the present invention, based on the differences in sensitive parameters between dacite and andesite recorded in existing data, the resistivity of dacite, which is greater than that of andesite, is used as the numerator of the index, and the parameter acoustic time difference AC, which is less than that of andesite, is used as the denominator of the index. The difference in logging response between dacite and andesite is amplified and aligned for differentiation, thereby improving the accuracy of differentiation between dacite and andesite. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 This is a technical flow chart of a method for quantitatively identifying lithology of igneous rocks according to the present invention;

[0045] Figure 2 is the frequency distribution histogram of the normalized igneous rock lithology factor of the present invention;

[0046] Figure 3 The normalized frequency distribution histogram of the lithology factors of the intermediate-acidic extrusive rock of the present invention;

[0047] Figure 4 The results of distinguishing tuff, basalt and intermediate-acidic extrusive rock in oil well A in the embodiment of the present invention are shown in FIG.

[0048] Figure 5 The lithology identification result of the acid blowout rock in the A oil well in the embodiment of the present invention;

[0049] Figure 6 The results of distinguishing tuff, basalt and intermediate-acid extrusive rock in oil well B in the embodiment of the present invention are shown in FIG.

[0050] Figure 7 This is the result of lithology identification of acidic blowout rock in oil well B in the embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0052] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0053] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0054] In the description of the embodiments of the present invention, it should be noted that if the terms "upper", "lower", "horizontal", "inner", etc. indicate an orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use, it is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0055] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", which does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0056] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0058] See also Figure 1 The embodiment of the present invention discloses a method for quantitatively identifying lithology of igneous rocks, comprising the following steps:

[0059] Step 1: Measure the sensitive parameters of logging in the igneous rock development layer;

[0060] Based on the research on logging response mechanism, combined with a large number of core, rock thin section and element capture logging data, the igneous rock lithology logging sensitive parameters are selected, wherein the logging sensitive parameters are natural gamma GR, acoustic wave time difference AC, wellbore CAL, resistivity RD and RS, drilling time ROP, and bit pressure WOB;

[0061] The sensitive parameters in the embodiment of the present invention are determined and screened through existing data. The research on the response mechanism of igneous rock logging shows that: the natural gamma GR of basalt is generally lower than that of tuff, and the natural gamma GR of tuff is generally lower than that of intermediate-acidic extrusive rock; the wellbore CAL of intermediate-acidic extrusive rock is generally smaller than that of basalt, and the wellbore CAL of basalt is generally smaller than that of tuff; under the same drilling pressure WOB conditions, the ROP of basalt is the slowest when drilling, followed by intermediate-acidic extrusive rock, and the ROP of tuff is the fastest when drilling; the resistivity (RD, RS) of andesite is generally smaller than that of dacite, and the acoustic time difference AC is generally larger than that of dacite. Based on this, the selection range of sensitive parameters is determined.

[0062] Then the above seven logging sensitive parameters are measured in the igneous rock development layer to be measured.

[0063] Step 2: Calculate the lithology factor of igneous rocks based on the obtained sensitive parameters, and formulate the preliminary classification standard of igneous rocks based on the lithology factor of igneous rocks. The igneous rocks classified according to the preliminary classification standard include intermediate-acid extrusive rocks, basalts and tuffs;

[0064] Based on the sensitive parameters obtained in step 1, the differences in logging responses of different igneous rocks are analyzed, and the lithology factor P of igneous rocks is calculated. cs The equation is:

[0065]

[0066] Where: P cs Defined as igneous rock lithology factor, dimensionless; CAL is wellbore diameter, in; GR is natural gamma, API; WOB is drilling pressure, kN; ROP is drilling time, min / m

[0067] Furthermore, the calculated igneous rock lithology factor Pcs is normalized, as shown in formula (2):

[0068]

[0069] Where: Pgy is defined as the normalized igneous rock lithology factor, dimensionless.

[0070] Furthermore, through mathematical statistics, the normalized igneous rock lithology factor frequency distribution histogram is established. Figure 2 , thus determining the identification criteria for distinguishing tuff, basalt and intermediate-acidic extrusive rock, see Table 1:

[0071] Table 1 Identification criteria for tuff, basalt and intermediate-acidic extrusive rocks

[0072]

[0073] Due to the differences in GR, CAL, WOB, ROP, RD, RS, and AC among different igneous rock types, the parameter GR of basalt and tuff smaller than that of intermediate-acidic extrusive rock is firstly taken as the numerator, and the parameter CAL greater than that of intermediate-acidic extrusive rock is taken as the denominator. The differences in ROP of basalt, tuff, and intermediate-acidic extrusive rock under the same WOB conditions are combined to amplify the differences in logging responses of basalt, tuff, and intermediate-acidic extrusive rock, and the normalized igneous rock lithology factor P is constructed. gy Separate basalts, tuffs and intermediate-acidic extrusive rocks.

[0074] Step 3: Establish the lithology factor equation of intermediate-acidic extrusive rocks to realize the lithology in intermediate-acidic extrusive rocks. Formulate secondary classification standards based on the obtained lithology factors of intermediate-acidic extrusive rocks. The intermediate-acidic extrusive rocks divided based on the secondary classification standards include andesite and dacite, completing the quantitative identification of igneous rock lithology.

[0075] Establishment of lithology factor P for calculating acidic extrusive rock ds The equation is used to further identify the lithology of intermediate-acidic extrusive rocks, as shown in formula (3):

[0076]

[0077] Where: P ds It is defined as the lithology factor of intermediate-acid extrusive rock, dimensionless; RD is the deep lateral resistivity, Ω·m; RS is the shallow lateral resistivity, Ω·m; AC is the acoustic time difference, μs / m.

[0078] Furthermore, the calculated lithology factor P of the intermediate-acidic extrusive rock is ds Perform normalization processing, as shown in formula (4);

[0079]

[0080] Where: P dy Defined as the normalized intermediate-acid extrusive rock lithology factor, dimensionless.

[0081] Furthermore, through mathematical statistics, a normalized frequency distribution histogram of lithology factors of intermediate-acidic extrusive rocks is established, see Figure 3 , thus determining the identification criteria for distinguishing dacite and andesite, see Table 2;

[0082] Table 2 Lithology identification criteria for acidic extrusive rocks

[0083]

[0084] The parameters (RD, RS) of dacite greater than andesite are used as the numerator of the index, and the parameter AC less than andesite is used as the denominator of the index. The difference between dacite and andesite in well logging response is combined and amplified to construct the normalized intermediate-acid extrusive rock lithology factor P. dy Distinguish between dacite and andesite.

[0085] The present invention discloses a specific application embodiment:

[0086] Example 1

[0087] Taking oil well A in an oil field as an example, a method for identifying the igneous rock lithology of the Permian system of oil well A based on conventional logging data includes the following steps:

[0088] Step 1: Based on the research on the logging response mechanism, the igneous rock lithology is divided into basalt, tuff and intermediate-acid extrusive rock (dacite and andesite), the differences in different igneous rock lithologies are analyzed, and a large number of core, rock thin section and element capture logging data are combined to select the logging sensitive parameters for distinguishing the igneous rock lithology, where the logging sensitive parameters are natural gamma GR, acoustic wave time difference AC, wellbore CAL, resistivity RD and RS, drilling time ROP and bit pressure WOB.

[0089] Seven sensitive parameters of mud logging were measured in the igneous rock development interval of oil well A.

[0090] Step 2: Establish the equation for calculating the igneous rock lithology factor Pcs:

[0091]

[0092] Where: P cs It is defined as the igneous rock lithology factor, dimensionless; CAL is the wellbore diameter, in; GR is the natural gamma, API; WOB is the bit pressure, kN; ROP is the drilling time, min / m.

[0093] Furthermore, the calculated igneous rock lithology factor Pcs is normalized, as shown in formula (2):

[0094]

[0095] Where: Pgy is defined as the normalized igneous rock lithology factor, dimensionless.

[0096] Further, referring to Table 3, the normalized igneous rock lithology factor P at each depth is obtained. gy , see Figure 4 , determine that the igneous rock development layer of oil well A is tuff, basalt and intermediate-acidic extrusive rock.

[0097] Table 3 Identification results of tuff, basalt and intermediate-acid extrusive rock in some igneous rock development intervals of oil well A

[0098]

[0099]

[0100] Step 3: Substitute the corresponding logging data identified as intermediate-acidic extrusive rock into the intermediate-acidic extrusive rock lithology factor P ds The equation is calculated as follows:

[0101]

[0102] Where: P ds It is defined as the lithology factor of intermediate-acid extrusive rock, dimensionless; RD is the deep lateral resistivity, Ω·m; RS is the shallow lateral resistivity, Ω·m; AC is the acoustic time difference, μs / m.

[0103] The calculated intermediate-acid extrusive rock lithology factor P ds Perform normalization:

[0104]

[0105] Where: P dy Defined as the normalized intermediate-acid extrusive rock lithology factor, dimensionless.

[0106] Furthermore, the obtained identification criteria for distinguishing dacite and andesite are referred to Table 2, and the corresponding logging data identified as intermediate-acidic extrusive rock are substituted into the normalized intermediate-acidic extrusive rock lithology factor P dy The normalized lithology factor P of the acidic extrusive rock is obtained by calculation in the equation dy , see Table 4 and Figure 5 Identify the lithology of acidic blowout rock in oil well A:

[0107] Table 4 Identification results of oxalite and andesite in the intermediate-acid extrusive rock development intervals of oil well A

[0108]

[0109]

[0110] Example 2

[0111] Taking Well B in the oil field as an example, the above steps are used to identify the lithology of igneous rocks based on conventional logging data, see Table 5, Table 6, Figure 6 and Figure 7 Identify the igneous rock development layer of B oil well: tuff, basalt, dacite and andesite.

[0112] Table 5 Identification results of tuff, basalt and intermediate-acid extrusive rock in some igneous rock development intervals of oil well B

[0113]

[0114]

[0115] Table 6 Identification results of oxalite and andesite in some intermediate-acidic extrusive rock development intervals in oil well B

[0116]

[0117] Existing methods for evaluating igneous rock lithology with high accuracy include coring observation, rock thin sections, element logging, element capture logging and other unconventional technical means, which are costly, complex to operate and have low scalability. The method disclosed in the embodiment of the present invention is based on the direct use of existing logging data, which is simple and easy to obtain, contains rich and continuous stratigraphic information, has good regional coverage, and is highly scalable. It can quantitatively identify the igneous rock lithology using only seven conventional logging curves, has a simple formula, and has high identification accuracy.

[0118] The method of the present invention starts from the basic mechanism research, utilizes the formula superposition effect to amplify the originally tiny difference of logging response between different igneous rock lithologies, and realizes the accurate identification of igneous rock lithology.

[0119] As a method for identifying igneous rock lithology using well logging data, the method of the present invention can be used simultaneously with other evaluation methods such as plate method without conflict, and is helpful to improve the conformity rate of igneous rock lithology interpretation.

[0120] In practical applications, there are abundant logging data in general mining areas, and Pgy and Pdy well profiles and plane distribution maps can be drawn to intuitively reflect the macroscopic distribution of igneous rock lithology in the work area, which can effectively guide the selection of oil and gas exploration areas.

[0121] The embodiment of the present invention also discloses a system for quantitatively identifying igneous rock lithology, including a parameter acquisition module, a lithology preliminary classification module and a lithology secondary classification module.

[0122] Parameter acquisition module, used to measure sensitive parameters of logging in igneous rock development layers;

[0123] The module for preliminary lithology classification is used to analyze and calculate the lithology factors of igneous rocks based on the acquired sensitive parameters, and to formulate preliminary classification standards for igneous rocks based on the lithology factors of igneous rocks. The igneous rocks classified according to the preliminary classification standards include intermediate-acid extrusive rocks, basalts and tuffs.

[0124] The lithology secondary division module is used to establish the lithology factor equation of intermediate-acidic extrusive rocks, realize the lithology in intermediate-acidic extrusive rocks, formulate secondary division standards based on the obtained lithology factors of intermediate-acidic extrusive rocks, and the intermediate-acidic extrusive rocks divided based on the secondary division standards include andesite and dacite, completing the quantitative identification of igneous rock lithology.

[0125] A schematic diagram of a terminal device provided in an embodiment of the present invention. The terminal device of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor executes the computer program, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0126] The computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to accomplish the present invention.

[0127] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0128] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0129] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0130] If the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0131] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for quantitatively identifying lithology of igneous rocks, characterized in that: The following steps are involved: S1: Measure the sensitive parameters of mud logging in the igneous rock development layer; S2: Calculate the lithology factor of igneous rocks based on the acquired sensitive parameters, and formulate the preliminary classification standard of igneous rocks based on the lithology factor of igneous rocks. The igneous rocks classified according to the preliminary classification standard include intermediate-acid extrusive rocks, basalts and tuffs; S3: Establish the lithology factor equation of intermediate-acidic extrusive rocks, calculate the lithology of intermediate-acidic extrusive rocks, and formulate the secondary classification standard of igneous rocks based on the obtained lithology factors of intermediate-acidic extrusive rocks. The intermediate-acidic extrusive rocks divided according to the secondary classification standard of igneous rocks include andesite and dacite, thus completing the quantitative identification of the lithology of igneous rocks.

2. A method for quantitatively identifying igneous rock lithology according to claim 1, characterized in that: In step S1, the sensitive parameters of well logging include natural gamma ray GR, acoustic wave time difference AC, wellbore CAL, resistivity, drilling time ROP and bit pressure WOB.

3. A method for quantitatively identifying igneous rock lithology according to claim 1, characterized in that: In step S2, the igneous rock lithology factor is calculated by formula (1): Where P cs It is defined as the igneous rock lithology factor; CAL is the wellbore diameter; GR is the natural gamma; WOB is the bit pressure; ROP is the drilling time.

4. A method for quantitatively identifying igneous rock lithology according to claim 3, characterized in that: Step S2 also includes normalizing the obtained igneous rock lithology factors: Where P gy Defined as the normalized igneous lithology factor; The preliminary classification standard of igneous rocks is formulated based on the normalized igneous rock lithology factor.

5. A method for quantitatively identifying igneous rock lithology according to claim 4, characterized in that: In step S2, the preliminary classification criteria for igneous rocks include: When the normalized igneous rock lithology factor satisfies 0≤P gy When ≤0.2, it is basalt; When the normalized igneous rock lithology factor satisfies 0.2<P gy When ≤0.4, it is tuff; When the normalized igneous rock lithology factor satisfies 0.4<P gy When ≤1, it is intermediate-acidic extrusive rock.

6. A method for quantitatively identifying igneous rock properties according to claim 1, characterized in that: In step S3, the lithology factor equation of intermediate-acidic extrusive rock is established: Where: P ds Defined as the lithology factor of intermediate-acid extrusive rocks; RD is the deep lateral resistivity; RS is the shallow lateral resistivity; AC is the acoustic time difference.

7. A method for quantitatively identifying igneous rock lithology according to claim 6, characterized in that: In step S3, the obtained lithology factor of the intermediate-acidic extrusive rock is normalized: Where: P dy Defined as the normalized intermediate-acid extrusive rock lithology factor; A secondary classification standard is developed based on the normalized lithology factor of intermediate-acidic extrusive rocks to distinguish between dacite and andesite.

8. The igneous rock lithology quantitative identification system according to claim 1, characterized in that: It includes parameter acquisition module, lithology preliminary division module and lithology secondary division module; Parameter acquisition module, used to measure sensitive parameters of logging in igneous rock development layers; The module for preliminary lithology classification is used to analyze and calculate the lithology factors of igneous rocks based on the acquired sensitive parameters, and to formulate preliminary classification standards for igneous rocks based on the lithology factors of igneous rocks. The igneous rocks classified according to the preliminary classification standards include intermediate-acid extrusive rocks, basalts and tuffs. The lithology secondary division module is used to establish the lithology factor equation of intermediate-acidic extrusive rocks, realize the lithology in intermediate-acidic extrusive rocks, formulate secondary division standards based on the obtained lithology factors of intermediate-acidic extrusive rocks, and the intermediate-acidic extrusive rocks divided based on the secondary division standards include andesite and dacite, completing the quantitative identification of igneous rock lithology.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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