Controllable source density shale correction method, device, equipment, medium and product

Abstract

The application discloses a controllable source density shale correction method, device, equipment, medium and product, relates to the field of oil and gas development, and comprises the following steps: calculating formation apparent density based on controllable source density logging response simulation data under the conditions of different shale mineral types and shale contents; calculating controllable source density measurement errors under the conditions of different shale mineral types and shale contents; using natural gamma information to represent shale content, using thermal neutron capture cross section to represent shale mineral type, analyzing target correlation between the controllable source density measurement error, the thermal neutron capture cross section, the shale content and the formation apparent density, and forming a shale correction model; and substituting the natural gamma information and the thermal neutron capture cross section of a target formation into the shale correction model to obtain a shale correction amount and correct the controllable source density measurement result. The application breaks the dependence of controllable source density logging on element logging information, and reduces the implementation difficulty and cost.

Description

Technical Field

[0001] This invention relates to the field of oil and gas development technology, specifically to a method, apparatus, equipment, medium, and product for controllable source density mud correction. Background Technology

[0002] Controlled-source density logging (CRL) technology utilizes controlled sources instead of chemical sources for density measurement, avoiding the radiation hazards of chemical sources and playing a crucial role in the development of logging-while-drilling (LWD) technology. However, existing CRL results are significantly affected by clay content, typically requiring the integration of clay mineral type and composition information from elemental logging for clay content correction. This necessitates that CRL instrument design must also incorporate formation element measurement capabilities.

[0003] However, elemental logging technology places stringent requirements on detector performance, instrument acquisition circuitry, data processing methods, and instrument installation, significantly increasing the difficulty and cost of implementing controlled source density logging technology. Therefore, there is an urgent need for a clay correction method that is independent of elemental logging and easily implemented in controlled source density logging. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed to provide a controllable source density clay correction method, apparatus, equipment, medium and product that overcomes or at least partially solves the above problems.

[0005] According to one aspect of the embodiments of this application, a controllable source density clay quality correction method is provided, the method comprising:

[0006] Using a controlled source density logging simulation model, controlled source density logging response simulation data were obtained under different clay mineral types and clay content conditions.

[0007] Based on controlled source density logging response simulation data, the formation apparent density is calculated, and the controlled source density measurement error under different clay mineral types and clay content is calculated by the difference between the formation apparent density and the true density.

[0008] Natural gamma information was used to characterize clay content, and thermal neutron capture cross section was used to characterize clay mineral types. The target correlation between controllable source density measurement error, thermal neutron capture cross section, clay content and formation apparent density was analyzed.

[0009] Based on the target correlation, a clay content correction model is formed; the controllable source density measurement error in the clay content correction model is characterized by clay content, thermal neutron capture cross section and formation apparent density.

[0010] The natural gamma information and thermal neutron capture cross section of the target formation are substituted into the clay correction model for processing to obtain the clay correction amount. Based on the clay correction amount, the controllable source density measurement results of the target formation are corrected to obtain the corrected controllable source density measurement results.

[0011] Furthermore, using a controlled source density logging simulation model, the simulated controlled source density logging response data obtained under different clay mineral types and clay content conditions further include:

[0012] Numerical simulation was used to establish a controlled source density logging simulation model; the controlled source density logging simulation model includes the relationship between the controlled source density logging instrument, the formation and the wellbore;

[0013] Different types and contents of argillaceous minerals are set in the controlled source density logging simulation model, and simulation data of controlled source density logging response under different argillaceous mineral types and contents are obtained through simulation.

[0014] Furthermore, the clay mineral types include: kaolinite, montmorillonite, illite, and chlorite.

[0015] Furthermore, based on controlled source density logging response simulation data, the calculation of formation apparent density further includes:

[0016] The formation apparent density is calculated by substituting the controlled source density logging response simulation data into the controlled source density calibration formula; the controlled source density logging response simulation data includes: far-non-elastic gamma count, thermal neutron count ratio, and ultrathermal neutron count.

[0017] Furthermore, the target relationships include:

[0018] The controllable source density measurement error is negatively correlated with the thermal neutron capture cross section under the same clay content conditions;

[0019] The measurement error of controllable source density is positively correlated with the clay content under the same clay mineral type conditions;

[0020] The measurement error of controllable source density is positively correlated with the apparent density of the formation;

[0021] The controllable source density measurement error exhibits a linear relationship with the thermal neutron capture cross section, clay content, and formation apparent density within the allowable error range.

[0022] Furthermore, the clay quality correction model records the clay quality error characterization relationship; the clay quality error characterization relationship is as follows:

[0023]

[0024] in, This indicates the measurement error of the controllable source density; Indicates the clay content; This represents the thermal neutron capture cross section; Indicates the apparent density of the formation; , , and This indicates the associated constant term.

[0025] According to another aspect of the embodiments of this application, a controllable source density clay correction device is provided, the device comprising:

[0026] The simulation module is suitable for using a controlled source density logging simulation model to simulate controlled source density logging response data under different clay mineral types and clay content conditions.

[0027] The calculation module is suitable for calculating the apparent density of the formation based on the controlled source density logging response simulation data, and calculating the controlled source density measurement error under different clay mineral types and clay content by the difference between the apparent density and the true density of the formation.

[0028] The analysis module is suitable for characterizing clay content using natural gamma information, characterizing clay mineral types using thermal neutron capture cross sections, and analyzing the target correlation between controlled source density measurement error, thermal neutron capture cross sections, clay content, and formation apparent density. Based on the target correlation, a clay correction model is formed. In the clay correction model, the controlled source density measurement error is characterized using clay content, thermal neutron capture cross sections, and formation apparent density.

[0029] The correction module is suitable for substituting the natural gamma information and thermal neutron capture cross section of the target formation into the clay correction model for processing to obtain the clay correction amount. Based on the clay correction amount, the controllable source density measurement results of the target formation are corrected to obtain the corrected controllable source density measurement results.

[0030] According to another aspect of the embodiments of this application, a computing device is provided, including: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;

[0031] The memory is used to store at least one executable instruction that causes the processor to perform the operation corresponding to the above-described controllable source density clay correction method.

[0032] According to another aspect of the embodiments of this application, a computer storage medium is provided, which stores at least one executable instruction that causes a processor to perform operations corresponding to the controllable source density clay correction method described above.

[0033] According to another aspect of the embodiments of this application, a computer program product is provided, including at least one executable instruction that causes a processor to perform operations corresponding to the controllable source density clay correction method described above.

[0034] According to the technical solution provided by the present invention, natural gamma information is used to characterize clay content, and thermal neutron capture cross section is used to characterize clay mineral type. By analyzing the target correlation between controllable source density measurement error, thermal neutron capture cross section, clay content, and formation apparent density, a clay correction model is formed. For the target formation, the clay correction model can accurately calculate the clay correction amount. By superimposing the clay correction amount onto the controllable source density measurement results of the target formation, controllable source density measurement results that eliminate the influence of clay can be conveniently obtained. This scheme achieves controlled-source density clay correction based on natural gamma information and thermal neutron capture cross sections. It utilizes the clay correction amount, which is easy to obtain, natural gamma information and thermal neutron capture cross sections to characterize the formation apparent density of controlled-source density clay, thus completing the correction of the influence of clay on controlled-source density. It is not only unaffected by the type of clay minerals, but also compatible with changes in clay content, expanding the applicable range of controlled-source density measurement, eliminating the dependence of controlled-source density logging on elemental logging information, solving the accuracy problem of existing controlled-source density measurement, and greatly reducing the implementation difficulty and cost of controlled-source density logging.

[0035] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0036] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0037] Figure 1 A schematic flowchart of a controllable source density clay correction method according to an embodiment of this application is shown;

[0038] Figure 2 A schematic diagram of a controllable source density logging simulation model is shown.

[0039] Figure 3 A schematic diagram of the far-non-elastic gamma-count response of four clay mineral types is shown under a porosity of 20%.

[0040] Figure 4The schematic diagram shows the thermal neutron count ratio response of four clay mineral types under a porosity of 20%.

[0041] Figure 5 The diagram shows the superthermal neutron counting response of four clay mineral types under a porosity of 20%.

[0042] Figure 6 A comparison chart showing the apparent density of the formation and the actual density calculated using the controlled source density calibration formula is presented.

[0043] Figure 7 A schematic diagram showing the controllable source density measurement error under different clay mineral types and clay content before correction is presented.

[0044] Figure 8 A schematic diagram showing the relationship between the controllable source density measurement error and the thermal neutron capture cross section under the condition of 30% clay content is shown;

[0045] Figure 9 A schematic diagram showing the relationship between controllable source density measurement error and clay content under a porosity of 30% is presented.

[0046] Figure 10 A schematic diagram showing the relationship between controllable source density measurement error and formation apparent density under the condition of 30% clay content is shown.

[0047] Figure 11 A schematic diagram of the corrected controllable source density measurement error is shown;

[0048] Figure 12 A structural block diagram of a controllable source density clay correction device according to an embodiment of this application is shown;

[0049] Figure 13 A schematic diagram of the structure of a computing device according to an embodiment of this application is shown. Detailed Implementation

[0050] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0051] Figure 1 A schematic flowchart of a controllable source density clay correction method according to an embodiment of this application is shown, as follows: Figure 1 As shown, the method includes the following steps:

[0052] Step S101: Using a controlled source density logging simulation model, simulated data of controlled source density logging response are obtained under different clay mineral types and clay content conditions.

[0053] Numerical simulation is used to establish a controlled source density logging simulation model. This model includes the relationship between the controlled source density logging instrument, the formation, and the wellbore. Specifically, the simulation model can be established based on existing controlled source density logging instrument parameters. The parameters of the simulation model are not fixed and can be adjusted in real time according to the actual controlled source density logging instrument parameters.

[0054] Figure 2 A schematic diagram of a controlled source density logging simulation model is shown, such as... Figure 2 As shown, the controlled-source density logging simulation model includes the relationship between the controlled-source density logging instrument 201, the formation 202, and the wellbore 203. The controlled-source density logging instrument 201 can be an existing multi-functional controlled-source logging instrument, which typically houses a DT neutron tube 2012, a near-gamma detector 2013, a far-gamma detector 2014, a near-hyperthermal neutron detector 2015, a near-thermal neutron detector 2016, and a far-thermal neutron detector 2017 within its outer casing 2011. The detectors are shielded and isolated from each other by a shielding body 2018. Figure 2 The image also shows the drill collar 204 and the mud guide channel 205. The DT neutron tube 2012 is a small, controllable pulsed neutron generator that uses deuterium-tritium nuclear fusion reactions to produce fast neutrons.

[0055] In a controlled-source density logging simulation model, different types and contents of argillaceous minerals are set. Based on the controlled-source density logging response law, simulation data of the controlled-source density logging response under different argillaceous mineral types and contents are obtained through simulation. The argillaceous mineral types include kaolinite, montmorillonite, illite, and chlorite. Other types of argillaceous minerals may also be included, without specific limitations here. The argillaceous content can be set from 10% to 40%, varying in 10% increments. The lithological framework can be set as sandstone, and the pore fluid as freshwater. The formation porosity can be set from 10% to 40%, varying in 10% increments. The controlled-source density logging response law refers to the response law of thermal neutrons, ultrathermal neutrons, and inelastic scattered gamma counts recorded by neutron and gamma detectors at different locations.

[0056] In specific application scenarios, the rock mineral and porosity parameters in the controllable source density logging simulation model can be changed. Under the condition of simulating sandstone skeleton, the porosity is set to 10%-40% with a 10% interval; the clay content is set to 10%-40% with a 10% interval; and the clay mineral types are set to kaolinite, chlorite, montmorillonite and illite, with specific chemical formulas and densities as shown in Table 1.

[0057] Table 1 Chemical formulas and densities corresponding to different clay mineral types

[0058]

[0059] Following the actual logging model, the pulsed neutron logging response, including far-inertial gamma count, near / far-thermal neutron count ratio, and ultrathermal neutron count, was obtained by placing the controlled-source density logging instrument close to the wellbore under different clay mineral types and clay content conditions. Figures 3 to 5 The diagrams show the non-explosive gamma count response, thermal neutron count ratio response, and ultrathermal neutron count response of four types of clay minerals under a porosity of 20%. Specifically, the diagrams illustrate the variation of non-explosive gamma count, thermal neutron count ratio, and ultrathermal neutron count with clay mineral type and clay content under a porosity of 20%.

[0060] Step S102: Based on the controlled source density logging response simulation data, calculate the formation apparent density, and calculate the controlled source density measurement error under different clay mineral types and clay content conditions by using the difference between the formation apparent density and the true density.

[0061] Based on controlled-source density logging response simulation data, the apparent density of the formation is calculated using existing density data processing methods. Existing density data processing methods refer to publicly available calibration formulas for calculating formation density, determined by combining information from inelastic scattered gamma, ultrathermal neutrons, thermal neutrons, and captured gamma. Because the combinations of neutron and gamma information used in existing publicly available controlled-source density calibration formulas differ, their specific forms vary considerably; they can be uniformly represented by the following formula:

[0062]

[0063] in, Indicates the apparent density of the formation; Indicates non-explosive gamma counting; This indicates the number of captured gamma rays; Represents the thermal neutron count; This indicates the superthermal neutron count; Indicates the non-elastic count ratio; Indicates the ratio of captured gamma counts; This indicates the thermal neutron count ratio.

[0064] The formation apparent density is calculated by substituting the controlled-source density logging response simulation data into the controlled-source density calibration formula. The controlled-source density logging response simulation data includes: far-non-explosive gamma count, thermal neutron count ratio, and ultrathermal neutron count. Other data may also be included in the controlled-source density logging response simulation data; no specific limitations are specified here.

[0065] In specific application scenarios, the controllable source density calibration formula can use far-non-explosive gamma, thermal neutron count ratio, and ultrathermal neutron information to characterize the apparent density of the formation. The specific formula is as follows:

[0066]

[0067] in, Indicates the apparent density of the formation; This indicates that it is far from a gamma count; Indicates the thermal neutron count ratio; This indicates the superthermal neutron count.

[0068] After calculating the apparent density of the formation, the controllable source density measurement error caused by different types and contents of clay minerals can be calculated by the difference between the apparent density and the true density. Here, apparent density refers to the formation density value calculated using the controllable source density calibration formula; true density refers to the actual density value of the formation; and controllable source density measurement error is the difference between the apparent density and the true density, specifically in the following form:

[0069]

[0070] in, This indicates the measurement error of the controllable source density; Indicates the true density; This indicates the apparent density of the formation.

[0071] Figure 6 A comparison chart is shown between the apparent density and the actual density of a formation calculated using the controlled source density scale formula. The black line is the density reference line, and the points on the density reference line indicate that the actual density and the apparent density of the formation are equal. Figure 7 A schematic diagram illustrates the controllable source density measurement error under different clay mineral types and clay content conditions before correction, where the red dashed line represents ±0.025 g / cm³. 3 The error standard. Combined with... Figure 6 and Figure 7 It can be seen that as the clay content of the strata increases, the controllable source density measurement error becomes larger and larger; at the same time, as the clay mineral type changes from kaolinite to montmorillonite, chlorite and illite, the corresponding controllable source density measurement error shows an increasing trend. Figure 7The controllable source density measurement errors under different clay mineral types and clay content conditions are shown in Table 2.

[0072] Table 2. Controllable source density measurement error before correction under different clay mineral types and clay content conditions.

[0073]

[0074] Step S103: Characterize the clay content using natural gamma information, characterize the clay mineral type using thermal neutron capture cross section, and analyze the target correlation between controllable source density measurement error, thermal neutron capture cross section, clay content, and formation apparent density.

[0075] Specifically, the clay content can be characterized using existing formulas for calculating clay content from natural gamma in well logging. The thermal neutron capture cross section (Σ) can be calculated using commonly used thermal neutron time spectrum processing methods. Since the errors differ for different clay mineral types, the type of clay mineral must be considered during error correction. The target correlation between controlled source density measurement error, thermal neutron capture cross section, clay content, and formation apparent density is analyzed. The obtained target correlations include: a negative correlation between controlled source density measurement error and thermal neutron capture cross section under the same clay content conditions; a positive correlation between controlled source density measurement error and clay content under the same clay mineral type conditions; a positive correlation between controlled source density measurement error and formation apparent density; and a linear relationship between controlled source density measurement error and thermal neutron capture cross section, clay content, and formation apparent density within the allowable error range, i.e., an approximately linear relationship between controlled source density measurement error and thermal neutron capture cross section, clay content, and formation apparent density. The target correlation can be expressed in the following specific form:

[0076]

[0077]

[0078]

[0079] in, This indicates the measurement error of the controllable source density; This represents the thermal neutron capture cross section; Indicates the clay content; Indicates the apparent density of the formation; , , , , and This indicates the associated constant term.

[0080] Specifically, a relationship can be established between the controllable source density measurement error and the thermal neutron capture cross-section, with the thermal neutron capture cross-section as the abscissa and the controllable source density measurement error as the ordinate. In this functional relationship, The slope value associated with the thermal neutron capture cross section. This is the intercept value related to the thermal neutron capture cross section. Figure 8 A schematic diagram illustrating the relationship between controllable source density measurement error and thermal neutron capture cross-section under a clay content of 30% is shown, as follows. Figure 8 As shown, there is a strong linear relationship between the controllable source density measurement error and the thermal neutron capture cross section. Furthermore, since different types of clay minerals have different compositions, their thermal neutron capture cross sections also differ. Therefore, the thermal neutron capture cross section of clay minerals can be introduced to characterize different clay mineral types. Table 3 shows the thermal neutron capture cross sections for different clay mineral types and clay content.

[0081] Table 3. Thermal neutron capture cross-sections for different clay mineral types and clay content

[0082]

[0083] Using clay content as the x-axis and controlled source density measurement error as the y-axis, a relationship between controlled source density measurement error and clay content is established. In this functional relationship... The slope value is related to the clay content. This is the intercept value related to the clay content. Figure 9 A schematic diagram illustrating the relationship between controllable source density measurement error and clay content under a porosity of 30% is shown, as follows: Figure 9 As shown, there is a strong linear relationship between the controllable source density measurement error and the clay content. Under the same porosity conditions, the controllable source density measurement error gradually increases with the increase of clay content.

[0084] Using formation apparent density as the abscissa and controlled source density measurement error as the ordinate, a relationship between controlled source density measurement error and formation apparent density is established. In this functional relationship... The slope value is related to the apparent density of the formation. This is the intercept value related to the apparent density of the formation. Figure 10 A schematic diagram illustrating the relationship between controllable source density measurement error and formation apparent density under a clay content of 30% is shown. Figure 10 As shown, there is a linear relationship between the controllable source density measurement error and the apparent formation density. With the same clay content, the higher the apparent formation density, the greater the controllable source density measurement error.

[0085] Step S104: Based on the target correlation, a mud quality correction model is formed.

[0086] Based on the target correlation between controlled source density measurement error, thermal neutron capture cross section, clay content, and formation apparent density, a clay correction model is formed. The controlled source density measurement error in the clay correction model is characterized using clay content, thermal neutron capture cross section, and formation apparent density.

[0087] Since the controllable source density measurement error exhibits a linear relationship with the thermal neutron capture cross section, clay content, and formation apparent density within the allowable error range, these factors can be combined. The thermal neutron capture cross section can be used to characterize the clay mineral type, while clay content and formation apparent density can be used to characterize the controllable source density measurement error for the same clay mineral type. The clay correction model records the clay error characterization relationship; the clay error characterization relationship is as follows:

[0088]

[0089] in, This indicates the measurement error of the controllable source density; Indicates the clay content; This represents the thermal neutron capture cross section; Indicates the apparent density of the formation; , , and This indicates the associated constant term.

[0090] Specifically, using clay content, thermal neutron capture cross section, and formation apparent density as independent variables, and controlled source density measurement error as the dependent variable, a relationship is established between controlled source density measurement error and clay content, thermal neutron capture cross section, and formation apparent density. In this functional relationship, This is a coefficient related to the clay content. The coefficient is related to the thermal neutron capture cross section. A coefficient related to the apparent density of the formation. To compensate for the constant term, data fitting is performed using the controlled source density measurement error under different clay mineral types and clay content conditions, along with the corresponding thermal neutron capture cross section and formation apparent density. This allows the determination of the specific values ​​of each associated constant term in the clay error characterization relationship, resulting in the following clay error characterization relationship:

[0091]

[0092] in, This indicates the measurement error of the controllable source density; Indicates the clay content; This represents the thermal neutron capture cross section; This indicates the apparent density of the formation.

[0093] Step S105: Substitute the natural gamma information and thermal neutron capture cross section of the target formation into the clay correction model for processing to obtain the clay correction amount. Based on the clay correction amount, correct the controllable source density measurement results of the target formation to obtain the corrected controllable source density measurement results.

[0094] The target formation refers to the formation requiring clay content correction. The process involves acquiring the natural gamma ray information and thermal neutron capture cross-sections of the target formation's clay mineral types. The natural gamma ray information characterizes the clay content, and the thermal neutron capture cross-sections characterize the clay mineral types. These information and cross-sections are then substituted into the clay content correction model. The calculated controllable source density measurement error is used as the clay content correction amount. This correction amount is then superimposed on the controllable source density measurement results of the target formation to correct the results, resulting in the corrected controllable source density measurement results—that is, the controllable source density measurement results eliminating the influence of clay content, also known as the corrected formation apparent density. Specifically, the controllable source density measurement results refer to the formation apparent density calculated from controllable source density logging of the target formation, while the clay content correction amount refers to the controllable source density measurement error calculated by the clay content correction model. .

[0095] Figure 11 A schematic diagram of the corrected controllable source density measurement error is shown, such as... Figure 11 As shown, the corrected controllable source density measurement error refers to the difference between the corrected apparent density and the true density of the formation; the red dashed line represents ±0.025 g / cm³. 3 The error standard is shown by the solid red line, which represents ±0.045 g / cm³. 3 Error standard; Figure 11 The corrected controlled-source density measurement errors corresponding to different mineral types and clay content are shown in Table 4. In Table 4, the corrected controlled-source density measurement errors are simply referred to as the corrected density errors.

[0096] Table 4. Corrected controllable source density measurement errors for different mineral types and clay content.

[0097]

[0098] from Figure 11 As can be seen from the data, the error in the controllable source density measurement is significantly reduced after correction, which proves that the scheme provided in this application can effectively correct the apparent density of strata with different types of clay minerals and clay content.

[0099] According to the controlled source density clay correction method provided in this application, the clay content is characterized by natural gamma information, and the clay mineral type is characterized by thermal neutron capture cross section. By analyzing the target correlation between controlled source density measurement error, thermal neutron capture cross section, clay content, and formation apparent density, a clay correction model is formed. For the target formation, the clay correction model can accurately calculate the clay correction amount. By superimposing the clay correction amount onto the controlled source density measurement result of the target formation, the controlled source density measurement result with clay influence eliminated can be easily obtained. This scheme achieves controlled-source density clay correction based on natural gamma information and thermal neutron capture cross sections. It utilizes the clay correction amount, which is easy to obtain, natural gamma information and thermal neutron capture cross sections to characterize the formation apparent density of controlled-source density clay, thus completing the correction of the influence of clay on controlled-source density. It is not only unaffected by the type of clay minerals, but also compatible with changes in clay content, expanding the applicable range of controlled-source density measurement, eliminating the dependence of controlled-source density logging on elemental logging information, solving the accuracy problem of existing controlled-source density measurement, and greatly reducing the implementation difficulty and cost of controlled-source density logging.

[0100] Figure 12 A structural block diagram of a controllable source density clay correction device according to an embodiment of this application is shown, as follows: Figure 12 As shown, the device includes: a simulation module 1210, a calculation module 1220, an analysis and construction module 1230, and a calibration module 1240.

[0101] The simulation module 1210 is suitable for: using a controlled source density logging simulation model to simulate controlled source density logging response data under different clay mineral types and clay content conditions.

[0102] The calculation module 1220 is suitable for: calculating the apparent density of the formation based on the controlled source density logging response simulation data, and calculating the controlled source density measurement error under different clay mineral types and clay content conditions by using the difference between the apparent density and the true density of the formation.

[0103] The analysis module 1230 is suitable for: characterizing clay content using natural gamma information, characterizing clay mineral types using thermal neutron capture cross sections, analyzing the target correlation between controlled-source density measurement error, thermal neutron capture cross sections, clay content, and formation apparent density; and forming a clay correction model based on the target correlation. The controlled-source density measurement error in the clay correction model is characterized using clay content, thermal neutron capture cross sections, and formation apparent density.

[0104] The correction module 1240 is adapted to: substitute the natural gamma information and thermal neutron capture cross section of the target formation into the clay correction model for processing, obtain the clay correction amount, and correct the controllable source density measurement results of the target formation based on the clay correction amount, so as to obtain the corrected controllable source density measurement results.

[0105] Optionally, the simulation module 1210 is further adapted to: establish a controlled source density logging simulation model using numerical simulation; wherein the controlled source density logging simulation model includes the relationship between the controlled source density logging instrument, the formation, and the wellbore; and set different types of argillaceous minerals and argillaceous content in the controlled source density logging simulation model, and obtain controlled source density logging response simulation data under different argillaceous mineral types and argillaceous content conditions through simulation.

[0106] Optionally, the clay mineral types include: kaolinite, montmorillonite, illite, and chlorite.

[0107] Optionally, the calculation module 1220 is further adapted to: substitute the controlled source density logging response simulation data into the controlled source density calibration formula to calculate the formation apparent density; wherein the controlled source density logging response simulation data includes: far-non-elastic gamma count, thermal neutron count ratio and ultrathermal neutron count.

[0108] Optionally, the target correlations include: the controllable source density measurement error is negatively correlated with the thermal neutron capture cross section under the same clay content conditions; the controllable source density measurement error is positively correlated with the clay content under the same clay mineral type conditions; the controllable source density measurement error is positively correlated with the formation apparent density; and the controllable source density measurement error exhibits a linear relationship within the allowable error range with the thermal neutron capture cross section, clay content, and formation apparent density.

[0109] Optionally, the clay quality correction model records the clay quality error characterization relationship; the clay quality error characterization relationship is as follows:

[0110]

[0111] in, This indicates the measurement error of the controllable source density; Indicates the clay content; This represents the thermal neutron capture cross section; Indicates the apparent density of the formation; , , and This indicates the associated constant term.

[0112] According to the controllable source density clay correction device provided in this application embodiment, the clay content is characterized by natural gamma information, and the clay mineral type is characterized by thermal neutron capture cross section. By analyzing the target correlation between controllable source density measurement error, thermal neutron capture cross section, clay content, and formation apparent density, a clay correction model is formed. For the target formation, the clay correction model can accurately calculate the clay correction amount. By superimposing the clay correction amount onto the controllable source density measurement result of the target formation, the controllable source density measurement result with clay influence eliminated can be conveniently obtained. This scheme achieves controlled-source density clay correction based on natural gamma information and thermal neutron capture cross sections. It utilizes the clay correction amount, which is easy to obtain, natural gamma information and thermal neutron capture cross sections to characterize the formation apparent density of controlled-source density clay, thus completing the correction of the influence of clay on controlled-source density. It is not only unaffected by the type of clay minerals, but also compatible with changes in clay content, expanding the applicable range of controlled-source density measurement, eliminating the dependence of controlled-source density logging on elemental logging information, solving the accuracy problem of existing controlled-source density measurement, and greatly reducing the implementation difficulty and cost of controlled-source density logging.

[0113] The present invention also provides a non-volatile computer storage medium storing at least one executable instruction that can execute the controllable source density clay correction method in any of the above method embodiments.

[0114] This invention provides a computer program product comprising at least one executable instruction or computer program that enables a processor to perform the operation corresponding to the controllable source density clay correction method in any of the above method embodiments.

[0115] Figure 13 The diagram shows a structural schematic of a computing device according to one embodiment of the present application. The specific embodiments of the present application do not limit the specific implementation of the computing device.

[0116] like Figure 13 As shown, the computing device may include: a processor 1302, a communication interface 1304, a memory 1306, and a communication bus 1308.

[0117] The processor 1302, communication interface 1304, and memory 1306 communicate with each other via communication bus 1308. Communication interface 1304 is used to communicate with other network elements such as clients or other servers. The processor 1302 executes program 1310, specifically performing the relevant steps in the above-described embodiment of the controllable source density clay correction method for computing devices.

[0118] Specifically, program 1310 may include program code that includes computer operation instructions.

[0119] The processor 1302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The computing device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0120] Memory 1306 is used to store program 1310. Memory 1306 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0121] Specifically, program 1310 can be used to cause processor 1302 to execute the controllable source density clay correction method in any of the above method embodiments. The specific implementation of each step in program 1310 can be found in the corresponding descriptions of the steps and units in the above controllable source density clay correction embodiments, and will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the devices and modules described above can be referred to the corresponding process descriptions in the foregoing method embodiments, and will not be repeated here.

[0122] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0123] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0124] Similarly, it should be understood that, in order to streamline this disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this method of disclosure should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the invention.

[0125] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0126] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments can be used in any combination.

[0127] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components according to the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0128] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

Claims

1. A method for controlling source density clay quality correction, characterized in that, The method includes: Using a controlled source density logging simulation model, controlled source density logging response simulation data were obtained under different clay mineral types and clay content conditions. Based on the controlled source density logging response simulation data, the formation apparent density is calculated, and the controlled source density measurement error under different clay mineral types and clay content is calculated by the difference between the formation apparent density and the true density. Natural gamma information was used to characterize clay content, and thermal neutron capture cross section was used to characterize clay mineral types. The target correlation between controllable source density measurement error, thermal neutron capture cross section, clay content and formation apparent density was analyzed. Based on the aforementioned target correlation, a clay content correction model is formed; wherein, the controllable source density measurement error in the clay content correction model is characterized by clay content, thermal neutron capture cross section, and formation apparent density; The natural gamma information and thermal neutron capture cross section of the target formation are substituted into the clay correction model for processing to obtain the clay correction amount. The controllable source density measurement results of the target formation are then corrected based on the clay correction amount to obtain the corrected controllable source density measurement results.

2. The controllable source density clay correction method according to claim 1, characterized in that, The simulation data of controlled source density logging response obtained by using the controlled source density logging simulation model under different clay mineral types and clay content conditions further include: Numerical simulation was used to establish a controlled source density logging simulation model; wherein, the controlled source density logging simulation model includes the relationship between the controlled source density logging instrument, the formation and the wellbore; Different types and contents of argillaceous minerals are set in the controlled source density logging simulation model, and controlled source density logging response simulation data under different argillaceous mineral types and contents are obtained through simulation.

3. The controllable source density clay correction method according to claim 1, characterized in that, The types of clay minerals include: kaolinite, montmorillonite, illite, and chlorite.

4. The controllable source density clay quality correction method according to claim 1, characterized in that, The calculation of formation apparent density based on the controlled source density logging response simulation data further includes: The controlled source density logging response simulation data is substituted into the controlled source density calibration formula to calculate the formation apparent density; wherein, the controlled source density logging response simulation data includes: far-non-elastic gamma count, thermal neutron count ratio, and ultrathermal neutron count.

5. The controllable source density clay quality correction method according to claim 1, characterized in that, The target association relationships include: The controllable source density measurement error is negatively correlated with the thermal neutron capture cross section under the same clay content conditions; The measurement error of controllable source density is positively correlated with the clay content under the same clay mineral type conditions; The measurement error of controllable source density is positively correlated with the apparent density of the formation; The controllable source density measurement error exhibits a linear relationship with the thermal neutron capture cross section, clay content, and formation apparent density within the allowable error range.

6. The controllable source density clay correction method according to any one of claims 1-5, characterized in that, The clay quality correction model records the clay quality error characterization relationship; the clay quality error characterization relationship is as follows: in, This indicates the measurement error of the controllable source density; Indicates the clay content; This represents the thermal neutron capture cross section; Indicates the apparent density of the formation; , , and This indicates the associated constant term.

7. A controllable source density clay quality correction device, characterized in that, The device includes: The simulation module is suitable for using a controlled source density logging simulation model to simulate controlled source density logging response data under different clay mineral types and clay content conditions. The calculation module is adapted to calculate the apparent density of the formation based on the controlled source density logging response simulation data, and to calculate the controlled source density measurement error under different clay mineral types and clay content conditions by using the difference between the apparent density and the actual density of the formation. The analysis module is suitable for characterizing clay content using natural gamma information, characterizing clay mineral types using thermal neutron capture cross sections, and analyzing the target correlation between controlled source density measurement error, thermal neutron capture cross sections, clay content, and formation apparent density. Based on the target correlation, a clay correction model is formed. The controlled source density measurement error in the clay correction model is characterized using clay content, thermal neutron capture cross sections, and formation apparent density. The correction module is adapted to input the natural gamma information and thermal neutron capture cross section of the target formation into the clay correction model for processing to obtain the clay correction amount. Based on the clay correction amount, the controllable source density measurement results of the target formation are corrected to obtain the corrected controllable source density measurement results.

8. A computing device, characterized in that, include: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction that causes the processor to perform the operation corresponding to the controllable source density clay correction method as described in any one of claims 1-6.

9. A computer storage medium, characterized in that, The computer storage medium stores at least one executable instruction that causes the processor to perform the operation corresponding to the controllable source density clay correction method as described in any one of claims 1-6.

10. A computer program product, characterized in that, It includes at least one executable instruction that causes the processor to perform the operation corresponding to the controllable source density clay correction method as described in any one of claims 1-6.

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