Method, system, readable storage medium and computer device for generating standard energy spectrum
By constructing the detector response model and energy spectrum data model, the problem of inaccurate element standard spectrum in the existing technology is solved, and the generation of accurate element standard spectrum under complex formation conditions is achieved, which improves the accuracy and reliability of well logging data.
Patent Information
- Application Number
- CN202210047771.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-01-17
- Publication Date
- 2025-05-02
- Estimated Expiration
- 2042-01-17
AI Technical Summary
When obtaining the elemental standard spectrum, the existing elemental energy spectrum logging method fails to consider the simultaneous existence of multiple elements in the formation, resulting in the obtained elemental standard spectrum inaccurate enough, affecting the subsequent solution spectrum and element dry weight calculation.
By obtaining the detector response function of the element logger, performing simulated experimental measurements, building a response model, and combining actual measurement data and standard energy spectrum, an energy spectrum data model is constructed to generate an accurate element standard spectrum.
It realizes accurate acquisition of element standard spectra under complex formation conditions, improves the accuracy and reliability of well logging data, and reduces experimental costs and research cycles.
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Figure CN115012902B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of nuclear well logging, and in particular to a method, system, readable storage medium and computer equipment for generating a standard energy spectrum. Background Art
[0002] In recent years, with the serious decline in the production of traditional oil and gas reservoirs, people have paid more and more attention to the development and logging evaluation of unconventional and complex oil and gas reservoirs such as shale oil and gas, tight oil, and volcanic rock oil and gas. However, compared with normal mudstone sandstone reservoirs, unconventional reservoirs such as volcanic rocks have diverse sources and complex mineral compositions, which make the reservoir pore structure complex, the physical properties vary greatly, and the heterogeneity strong. In particular, volcanic rocks and mudstones are similar in many properties, which makes it difficult to distinguish. Therefore, the logging evaluation of complex reservoirs such as volcanic rocks has always been a difficult problem. Element spectrum logging can study the content of some important elements in the formation by measuring and analyzing the gamma-ray energy spectrum emitted at certain specific stages when some important elements in the formation interact with neutrons, thereby determining the rock composition of complex reservoirs and more accurately calculating the skeleton density and porosity of the reservoir. Therefore, in addition to being widely used in conventional oil and gas reservoir exploration, element spectrum logging has also become an indispensable and important logging method in the reservoir evaluation of shale gas, coalbed methane, tight reservoirs and other complex lithology areas.
[0003] Element spectrum logging is becoming an increasingly important technical means for exploring unconventional reservoirs such as tight gas and shale gas because it can identify lithology and determine parameters such as porosity, permeability, skeleton density, and clay volume. Therefore, conducting basic research on formation element logging methods and developing element spectrum logging instruments (such as element logging instruments and carbon-oxygen ratio spectrum logging instruments) and logging interpretation methods with independent intellectual property rights have obvious economic significance for the exploration and exploitation of oil and gas in unconventional reservoirs in my country.
[0004] The key steps of element logging interpretation are based on how to accurately obtain the standard spectrum of elements. The method and steps for obtaining the standard spectrum of elements are generally to do a benchmark calibration first, then fix the logging instrument part of the numerical simulation model that has been benchmarked, replace the formation with a single element, replace the components around the detector in the borehole and the logging instrument with nuclides with negligible neutron-gamma reaction cross sections at the original density, and obtain the standard spectrum of the element through numerical simulation calculation. However, this conventional method has some disadvantages. It does not take into account that when multiple elements exist in the formation at the same time, the standard spectrum of a single element detected by the detector is different from the standard spectrum of the element detected by the detector when only this single element exists in the formation. When multiple elements exist in the formation at the same time, the transmission and distribution of neutrons in the entire space are different from the transmission and distribution of neutrons when only a single element exists. Therefore, the conventional element standard spectrum method does not take this into account, resulting in the inaccuracy of the element standard spectrum it obtains. Once the element standard spectrum is inaccurate, the subsequent spectrum interpretation and calculation of element dry weight will be seriously affected. Summary of the invention
[0005] Based on this, an object of the present invention is to provide a method, system, readable storage medium and computer device for generating a standard energy spectrum, so as to at least solve the deficiencies in the above-mentioned technology.
[0006] The present invention proposes a method for generating a standard energy spectrum, which is applied to an element logging tool. The method for generating a standard energy spectrum comprises:
[0007] Acquiring a response function of a detector of the element logging instrument, and performing a simulated experimental measurement on the detector to obtain corresponding simulated measurement data;
[0008] Constructing a corresponding response model according to the response function and the simulated measurement data;
[0009] Acquiring a standard energy spectrum of the element logging instrument, and performing actual measurement on the element logging instrument to obtain corresponding actual measurement data;
[0010] A corresponding energy spectrum data model is constructed according to the actual measurement data, the standard energy spectrum and the response model, so that the element logging tool generates a standard energy spectrum according to the energy spectrum data model.
[0011] Furthermore, the step of obtaining the response function of the detector of the element logging tool includes:
[0012] Analyzing the response characteristics of the detector to gamma rays of various energies by numerical simulation;
[0013] Calculate the effect of the size, spatial position and angle of the detector on the detection efficiency to obtain the corresponding response law;
[0014] A corresponding response function is generated according to the response characteristics and the response law.
[0015] Furthermore, the step of performing a simulation experiment measurement on the detector to obtain corresponding simulation measurement data includes:
[0016] Conducting a multi-isotope source gamma ray simulation experiment on the detector so that the detector generates different energy spectra for different elements;
[0017] Corresponding simulation measurement data is obtained according to the energy spectrum analysis.
[0018] Furthermore, the step of constructing a corresponding response model according to the response function and the simulated measurement data includes:
[0019] Optimizing the response function using the simulated measurement data to obtain an optimized response function;
[0020] The corresponding response model is constructed through the optimized response function.
[0021] Furthermore, the step of performing actual measurement on the element logging tool to obtain corresponding actual measurement data includes:
[0022] Performing an element calibration well experiment on the element logging instrument to obtain material data of the element logging instrument and formation data of the formation environment of the element calibration well experiment;
[0023] A corresponding actual standard spectrum is generated according to the material data and the formation data.
[0024] Furthermore, the step of constructing a corresponding energy spectrum data model according to the actual measurement data, the standard energy spectrum and the response model includes:
[0025] Combining the actual standard spectrum with the standard energy spectrum to obtain an optimized standard energy spectrum;
[0026] The optimized standard energy spectrum is input into the response model so that the response model generates a corresponding energy spectrum data model.
[0027] The present invention also proposes a standard energy spectrum generation system, which is applied to an element logging tool. The standard energy spectrum generation system comprises:
[0028] A simulation experiment module, used to obtain the response function of the detector of the element logging instrument, and perform simulation experiment measurement on the detector to obtain corresponding simulation measurement data;
[0029] A first construction module, used to construct a corresponding response model according to the response function and the simulated measurement data;
[0030] The actual experiment module is used to obtain the standard energy spectrum of the element logging instrument and perform actual measurement on the element logging instrument to obtain corresponding actual measurement data;
[0031] The second construction module is used to construct a corresponding energy spectrum data model according to the actual measurement data, the standard energy spectrum and the response model, so that the element logging tool generates a standard energy spectrum according to the energy spectrum data model.
[0032] Furthermore, the simulation experiment module includes:
[0033] A first analysis unit, used for analyzing the response characteristics of the detector to gamma rays of various energies by using numerical simulation;
[0034] A calculation unit, used to calculate the influence of the size, spatial position and angle of the detector on the detection efficiency, so as to obtain a corresponding response law;
[0035] The first generating unit is used to generate a corresponding response function according to the response characteristics and the response law.
[0036] Furthermore, the simulation experiment module also includes:
[0037] A simulation experiment unit, used for performing a simulation experiment of multi-isotope source gamma rays on the detector, so that the detector generates different energy spectra for different elements;
[0038] The second analysis unit is used to analyze the energy spectrum to obtain corresponding simulation measurement data.
[0039] Furthermore, the first building block includes:
[0040] A first optimization unit, configured to optimize the response function using the simulated measurement data to obtain an optimized response function;
[0041] The first construction unit is used to construct a corresponding response model through the optimized response function.
[0042] Furthermore, the actual experiment module includes:
[0043] An actual experiment module, used to perform an element calibration well experiment on the element logging instrument, and obtain material data of the element logging instrument and formation data of the formation environment of the element calibration well experiment;
[0044] The second generating unit is used to generate a corresponding actual standard spectrum according to the material data and the formation data.
[0045] Furthermore, the second building block includes:
[0046] A second optimization unit, used for combining the actual standard spectrum and the standard energy spectrum to obtain an optimized standard energy spectrum;
[0047] The second construction unit is used to input the optimized standard energy spectrum into the response model so that the response model generates a corresponding energy spectrum data model.
[0048] The present invention also provides a readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for generating the standard energy spectrum described above is implemented.
[0049] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for generating a standard energy spectrum when executing the computer program.
[0050] The method, system, readable storage medium and computer device for generating a standard energy spectrum in the present invention obtain the response function of the detector of the element logging instrument, conduct simulation experiments on the detector, build a response model based on the simulation experiment results and the response function, and optimize the response function using the simulation experiment data to make the response model more accurate; obtain the standard energy spectrum of the element logging instrument, conduct actual experiments on the element logging instrument, and build an energy spectrum data model based on the actual experimental data, the standard energy spectrum and the response model, so that the element logging instrument can automatically generate an accurate element standard spectrum while fully reproducing the logging environment, providing an accurate data basis for subsequent spectrum interpretation operations; and accurate element standard spectra can be obtained without doing a large number of calibration well experiments, effectively shortening the cycle of element energy spectrum logging research and reducing experimental costs. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] Figure 1 is a flow chart of a method for generating a standard energy spectrum in a first embodiment of the present invention;
[0052] Figure 2 for Figure 1 Detailed flow chart of step S101;
[0053] Figure 3 for Figure 1 Detailed flowchart of step S102;
[0054] Figure 4 for Figure 1 Detailed flow chart of step S103;
[0055] Figure 5 for Figure 1 Detailed flow chart of step S104;
[0056] Figure 6A comparison diagram between the simulation and experiment of the detector response in the first embodiment of the present invention;
[0057] Figure 7 This is a MC simulation diagram of the element logging tool in the first embodiment of the present invention;
[0058] Figure 8 is a neutron distribution diagram of the formation space in the first embodiment of the present invention;
[0059] Fig. 9 is a standard energy spectrum obtained by the element logging tool in the first embodiment of the present invention through the energy spectrum data model;
[0060] Fig.10 is a diagram of element dry weights in the first embodiment of the present invention;
[0061] Fig.11 is a structural block diagram of a system for generating a standard energy spectrum in a second embodiment of the present invention;
[0062] Fig.12 It is a structural block diagram of a computer device in the third embodiment of the present invention.
[0063] Description of main component symbols:
[0064] Memory 10 First building block 12 processor 20 Practical experiment module 13 Computer Programs 30 Second building block 14 Simulation experiment module 11
[0065] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION
[0066] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.
[0067] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.
[0068] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.
[0069] Embodiment 1
[0070] See also Figure 1 , which shows a method for generating a standard energy spectrum in a first embodiment of the present invention, and is applied to an element logging tool. The method for generating a standard energy spectrum specifically includes steps S101 to S104:
[0071] S101, obtaining a response function of a detector of the element logging tool, and performing a simulated experimental measurement on the detector to obtain corresponding simulated measurement data;
[0072] Among them, see Figure 2 , step S101 specifically includes steps S1011 to S1014.
[0073] S1011, analyzing the response characteristics of the detector to gamma rays of various energies by numerical simulation;
[0074] S1012, calculating the influence of the size, spatial position and angle of the detector on the detection efficiency to obtain a corresponding response law;
[0075] S1013, generating a corresponding response function according to the response characteristics and the response law;
[0076] S1014, performing a multi-isotope source gamma ray simulation experiment on the detector, so that the detector generates different energy spectra for different elements, and analyzing corresponding simulation measurement data according to the energy spectra.
[0077] In the specific implementation, numerical simulation is used to study the response characteristics of detectors such as BGO and LaBr3 in element logging instruments to gamma rays of various energies, and the influence of the size, spatial position and angle of the detector on the detection efficiency is studied. Based on the actual experimental environment, the corresponding response law is obtained according to the actual size and material properties of the experimental elements. The response function of the detector is generated through the response characteristics and response law. Then, simulated experimental measurements of gamma rays from multiple isotope sources are carried out on the detector to obtain the corresponding simulated experimental data.
[0078] Among them, it should be noted that the response characteristic refers to the simulated experimental measurement of different detectors. Different detectors produce different peak-to-peak values and peak values of the energy spectrum for different elements. The response law refers to the different energy spectra obtained by adjusting the size, spatial position and angle of the detector to conduct simulated experimental measurements, and the law obtained by analyzing different energy spectra.
[0079] S102, constructing a corresponding response model according to the response function and the simulated measurement data;
[0080] Among them, see Figure 3 , step S102 specifically includes steps S1021 to S1022.
[0081] S1021, optimizing the response function using the simulated measurement data to obtain an optimized response function;
[0082] S1022: construct a corresponding response model using the optimized response function.
[0083] In specific implementation, the response function is improved according to the simulation experiment data, and a corresponding response model is constructed according to the improved response function, so that the response of the detector is consistent with the response of the simulation experiment.
[0084] S103, acquiring a standard energy spectrum of the element logging instrument, and performing actual measurement on the element logging instrument to obtain corresponding actual measurement data;
[0085] Among them, see Figure 4 , step S103 specifically includes steps S1031 to S1032.
[0086] S1031, performing an element calibration well experiment on the element logging instrument to obtain material data of the element logging instrument and formation data of the formation environment of the element calibration well experiment;
[0087] S1032: Generate a corresponding actual standard spectrum according to the material data and the formation data.
[0088] In the specific implementation, the standard energy spectrum of the element logging instrument is obtained (a BGO crystal detector is used in this application), and the element calibration well of the detector is actually measured to obtain corresponding actual measurement data.
[0089] S104, constructing a corresponding energy spectrum data model according to the actual measurement data, the standard energy spectrum and the response model, so that the element logging tool generates a standard energy spectrum according to the energy spectrum data model.
[0090] Among them, see Figure 5 , step S104 specifically includes steps S1041 to S1042.
[0091] S1041, combining the actual standard spectrum and the standard energy spectrum to obtain an optimized standard energy spectrum;
[0092] S1042: Input the optimized standard energy spectrum into the response model, so that the response model generates a corresponding energy spectrum data model.
[0093] During specific implementation, the structural parameters of the instrument are adjusted within a certain range, and combined with the specific formation environment, different element contents and formation porosity are set to obtain the actual standard energy spectrum of common elements in the formation. The actual standard energy spectrum is used to correct the standard energy spectrum of the element logging instrument, and the corrected standard energy spectrum is then combined with the response model to generate an energy spectrum data model.
[0094] The energy spectrum data model is used as the original spectrum data of the detector and the basic data for spectrum decomposition. The spectrum obtained by the element logging instrument is decomposed through the energy spectrum data model, and the oxide closure model is used to obtain the dry weight of each element in the formation.
[0095] It should be noted that in the present application, the upper limit of the original data of the detector is adjusted, and the corresponding adjustment range is found according to the result obtained after the adjustment. The purpose of adjusting the structural parameters of the instrument is to optimize the correlation between the actual standard energy spectrum and the obvious energy peaks and the full spectrum of the standard energy spectrum.
[0096] See also Figure 6 , which is a characteristic diagram of the BGO detector response provided in this embodiment. By broadening the energy spectrum of the MC simulation result and correcting the MC program, the simulated spectrum is matched with the measured spectrum. Figure 6 MCNP5 is the curve of the simulated spectrum obtained by the software through the simulation experiment measurement, Experimetal is the curve of the actual energy spectrum measured by the same detector, and DRF is the curve of the simulated spectrum after correction. Figure 6 It can be seen that the corrected curve is consistent with the experimental measurement results.
[0097] See also Figures 7 to 9 , which shows the MC model of the element logging tool provided in this embodiment and the distribution diagram of simulated neutrons in the formation space. Figure 7 The serial numbers represent the different materials inside the detector (for example, the detector head, the shielding cover, etc.). Figure 7 It can be seen that all components of the logging tool participate in the MC simulation calculation; Figure 8 It can be seen that the distribution of neutrons in various energy ranges in the formation space, the rectangular framed area represents high-energy neutrons, and the circular framed area represents low-energy neutrons. Fig. 9It is the element standard spectrum obtained using the standard spectrum generator, from which we can see the obvious characteristic peaks of the energy spectrum of each element.
[0098] See also Fig.10 , which is the element dry weight diagram provided in this embodiment, is the element standard spectrum obtained by the standard spectrum generation method in this embodiment as the basic data, and the dry weight results of each element are obtained by spectrum decomposition and other operations. It can be seen from the figure that the element specific gravity can be well output by spectrum decomposition using these standard spectrum data, which illustrates the accuracy of the obtained standard spectrum data.
[0099] In summary, the method for generating a standard energy spectrum in the above-mentioned embodiment of the present invention obtains the response function of the detector of the element logging instrument, and performs a simulation experiment on the detector, constructs a response model according to the simulation experiment results and the response function, and optimizes the response function using the simulation experiment data to make the response model more accurate; obtains the standard energy spectrum of the element logging instrument, and performs actual experiments on the element logging instrument, and constructs an energy spectrum data model according to the actual experimental data, the standard energy spectrum and the response model, so that the element logging instrument can automatically generate an accurate element standard spectrum while fully reproducing the logging environment, providing an accurate data basis for subsequent spectrum interpretation operations; and an accurate element standard spectrum can be obtained without performing a large number of calibration well experiments, effectively shortening the cycle of element energy spectrum logging research and reducing experimental costs.
[0100] Embodiment 2
[0101] Another aspect of the present invention is to provide a system for generating a standard energy spectrum. Fig.11 , which is a generation system of a standard energy spectrum in a second embodiment of the present invention, and is applied to an element logging tool. The generation system of the standard energy spectrum includes:
[0102] A simulation experiment module 11 is used to obtain the response function of the detector of the element logging instrument, and to perform simulation experiment measurement on the detector to obtain corresponding simulation measurement data;
[0103] Furthermore, the simulation experiment module 11 includes:
[0104] A first analysis unit, used for analyzing the response characteristics of the detector to gamma rays of various energies by using numerical simulation;
[0105] A calculation unit, used to calculate the influence of the size, spatial position and angle of the detector on the detection efficiency, so as to obtain a corresponding response law;
[0106] A first generating unit, configured to generate a corresponding response function according to the response characteristics and the response law;
[0107] A simulation experiment unit, used for performing a simulation experiment of multi-isotope source gamma rays on the detector, so that the detector generates different energy spectra for different elements;
[0108] The second analysis unit is used to analyze the energy spectrum to obtain corresponding simulation measurement data.
[0109] A first construction module 12, configured to construct a corresponding response model according to the response function and the simulated measurement data;
[0110] Furthermore, the first building module 12 includes:
[0111] A first optimization unit, configured to optimize the response function using the simulated measurement data to obtain an optimized response function;
[0112] The first construction unit is used to construct a corresponding response model through the optimized response function.
[0113] The actual experiment module 13 is used to obtain the standard energy spectrum of the element logging instrument and perform actual measurement on the element logging instrument to obtain corresponding actual measurement data;
[0114] Furthermore, the actual experiment module 13 includes:
[0115] An actual experiment module, used to perform an element calibration well experiment on the element logging instrument, and obtain material data of the element logging instrument and formation data of the formation environment of the element calibration well experiment;
[0116] The second generating unit is used to generate a corresponding actual standard spectrum according to the material data and the formation data.
[0117] The second construction module 14 is used to construct a corresponding energy spectrum data model according to the actual measurement data, the standard energy spectrum and the response model, so that the element logging tool generates a standard energy spectrum according to the energy spectrum data model.
[0118] Furthermore, the second building module 14 includes:
[0119] A second optimization unit, used for combining the actual standard spectrum and the standard energy spectrum to obtain an optimized standard energy spectrum;
[0120] The second construction unit is used to input the optimized standard energy spectrum into the response model so that the response model generates a corresponding energy spectrum data model.
[0121] The functions or operation steps implemented when the above modules and units are executed are generally the same as those in the above method embodiments, and will not be repeated here.
[0122] The standard energy spectrum generation system provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the system embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.
[0123] Embodiment 3
[0124] The present invention also provides a computer device, see Fig.12 , shown is a computer device in the third embodiment of the present invention, including a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20, and when the processor 20 executes the computer program 30, the above-mentioned method for generating a standard energy spectrum is implemented.
[0125] The memory 10 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 10 may be an internal storage unit of a computer device, such as a hard disk of the computer device. In other embodiments, the memory 10 may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. Further, the memory 10 may also include both an internal storage unit of a computer device and an external storage device. The memory 10 may be used not only to store application software and various types of data installed in the computer device, but also to temporarily store data that has been output or is to be output.
[0126] Among them, in some embodiments, the processor 20 can be an electronic control unit (Electronic Control Unit, abbreviated as ECU, also known as a vehicle computer), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or other data processing chip, used to run the program code stored in the memory 10 or process data, such as executing access restriction programs, etc.
[0127] It should be pointed out that Fig.12 The structure shown does not constitute a limitation on the computer device. In other embodiments, the computer device may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.
[0128] The embodiment of the present invention further provides a readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the method for generating a standard energy spectrum as described above is implemented.
[0129] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.
[0130] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.
[0131] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0132] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0133] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.
Claims
1. A method for generating a standard energy spectrum, applied to an element logging tool, characterized in that: The method for generating the standard energy spectrum comprises: The response function of the detector of the element logging tool is obtained, and a simulation experiment measurement is performed on the detector to obtain corresponding simulation measurement data, wherein the step of obtaining the response function of the detector of the element logging tool comprises: Analyzing the response characteristics of the detector to gamma rays of various energies by numerical simulation; Calculate the effect of the size, spatial position and angle of the detector on the detection efficiency to obtain the corresponding response law; Generate a corresponding response function through the response characteristics and the response law; Constructing a corresponding response model according to the response function and the simulated measurement data; Acquiring a standard energy spectrum of the element logging instrument, and performing actual measurement on the element logging instrument to obtain corresponding actual measurement data; A corresponding energy spectrum data model is constructed according to the actual measurement data, the standard energy spectrum and the response model, so that the element logging tool generates a standard energy spectrum according to the energy spectrum data model.
2. The method for generating a standard energy spectrum according to claim 1, characterized in that: The steps of performing a simulation experiment measurement on the detector to obtain corresponding simulation measurement data include: Conducting a multi-isotope source gamma ray simulation experiment on the detector so that the detector generates different energy spectra for different elements; Corresponding simulation measurement data is obtained according to the energy spectrum analysis.
3. The method for generating a standard energy spectrum according to claim 2, characterized in that: The step of constructing a corresponding response model according to the response function and the simulated measurement data comprises: Optimizing the response function using the simulated measurement data to obtain an optimized response function; The corresponding response model is constructed through the optimized response function.
4. The method for generating a standard energy spectrum according to claim 1, characterized in that: The step of performing actual measurement on the element logging tool to obtain corresponding actual measurement data includes: Performing an element calibration well experiment on the element logging instrument to obtain material data of the element logging instrument and formation data of the formation environment of the element calibration well experiment; A corresponding actual standard spectrum is generated according to the material data and the formation data.
5. The method for generating a standard energy spectrum according to claim 4, characterized in that: The step of constructing a corresponding energy spectrum data model according to the actual measurement data, the standard energy spectrum and the response model comprises: Combining the actual standard spectrum with the standard energy spectrum to obtain an optimized standard energy spectrum; The optimized standard energy spectrum is input into the response model so that the response model generates a corresponding energy spectrum data model.
6. A standard energy spectrum generation system, applied to element logging tools, characterized in that: The generation system of the standard energy spectrum comprises: A simulation experiment module is used to obtain the response function of the detector of the element logging instrument and perform simulation experiment measurement on the detector to obtain corresponding simulation measurement data, wherein the simulation experiment module includes: An analysis unit, used for analyzing the response characteristics of the detector to gamma rays of various energies by using numerical simulation; A calculation unit, used to calculate the influence of the size, spatial position and angle of the detector on the detection efficiency, so as to obtain a corresponding response law; A generating unit, used for generating a corresponding response function according to the response characteristics and the response law; A first construction module, used to construct a corresponding response model according to the response function and the simulated measurement data; The actual experiment module is used to obtain the standard energy spectrum of the element logging instrument and perform actual measurement on the element logging instrument to obtain corresponding actual measurement data; The second construction module is used to construct a corresponding energy spectrum data model according to the actual measurement data, the standard energy spectrum and the response model, so that the element logging tool generates a standard energy spectrum according to the energy spectrum data model.
7. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for generating a standard energy spectrum as claimed in any one of claims 1 to 5 is implemented.
8. A computer 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 method for generating a standard energy spectrum according to any one of claims 1 to 5 is implemented.
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