Hydrogen index correction method and device and computing equipment

Abstract

The invention discloses a hydrogen-containing index correction method and device and computing equipment. The method comprises the following steps: acquiring a first function relationship between a hydrogen index and a thermal neutron count ratio under a standard environmental parameter; aiming at any parameter value of any environmental parameter, a neutron logging forward modeling model is utilized to simulate and obtain thermal neutron counting ratios under different porosity values, and the environmental parameters comprise mineral types and / or fluid types; calculating a hydrogen-containing index value according to the thermal neutron counting ratio of the parameter value of the environmental parameter and the first function relationship, and generating a second function relationship between the correction value of the parameter value of the environmental parameter and the hydrogen-containing index according to the porosity value and the hydrogen-containing index value; and correcting the measured value of the hydrogen content index of the actual environmental parameter by using the second function relationship. According to the scheme, hydrogen-containing index correction can be carried out on complex environments of different mineral types and / or different fluid types, the application range of hydrogen-containing index correction is widened, and the precision of the hydrogen-containing index for representing the formation porosity is improved.

Description

Technical Field

[0001] This application relates to the field of exploration technology, specifically to a method, apparatus, computing device, computer storage medium, and computer program product for correcting hydrogen content index. Background Technology

[0002] The Hydrogen Index (HI) is a parameter that measures the relative number of hydrogen atoms in a rock or fluid. Under certain conditions, the HI is consistent with formation porosity; however, in some complex environments, the HI deviates from formation porosity. Therefore, the correction of the HI is of great significance. Summary of the Invention

[0003] In view of the above problems, this application is made in order to provide a method, apparatus, computing device, computer storage medium and computer program product for correcting hydrogen content index to overcome the above problems or at least partially solve the above problems.

[0004] According to a first aspect of this application, a method for correcting the hydrogen content index is provided, comprising:

[0005] Obtain the first functional relationship between the hydrogen content index and the thermal neutron count ratio under standard environmental parameters;

[0006] For any environmental parameter and any value of any environmental parameter, a pre-built neutron logging forward model is used to simulate and obtain the thermal neutron count ratio under different porosity values; wherein, the environmental parameter includes mineral type and / or fluid type;

[0007] The hydrogen content index is calculated based on the thermal neutron count ratio of the environmental parameter and the first functional relationship. A second functional relationship between the correction amount of the environmental parameter and the hydrogen content index is generated based on the porosity value and the hydrogen content index.

[0008] The hydrogen index measurement of actual environmental parameters is corrected using the second functional relationship.

[0009] In one optional embodiment, the step of generating a second functional relationship between the correction amount of the environmental parameter and the hydrogen content index based on the porosity value and the hydrogen content index includes:

[0010] For any given set of porosity values ​​and hydrogen index values, a correction value is obtained based on the difference between the porosity value and the hydrogen index value, and a data pair of correction value and hydrogen index value is generated.

[0011] The second function relationship is obtained by fitting the data pairs.

[0012] In one optional implementation, the correction of the hydrogen index measurement of the actual environmental parameter using the second functional relationship includes:

[0013] Determine whether the actual environmental parameters are consistent with the standard environmental parameters;

[0014] If so, the measured value of the hydrogen index will not be corrected;

[0015] If not, the target correction amount corresponding to the actual environmental parameters is obtained based on the second functional relationship, and the corrected value of the hydrogen content index is obtained based on the target correction amount and the hydrogen content index measurement value.

[0016] In an optional implementation, the method further includes:

[0017] The thermal neutron count ratio under different formation water salinity values ​​was obtained by using a pre-constructed neutron logging forward model.

[0018] The hydrogen content index corresponding to different formation water salinity values ​​is calculated based on the thermal neutron count ratio under different formation water salinity values ​​and the first functional relationship. A third functional relationship between the correction amount and formation water salinity is generated based on the hydrogen content index corresponding to different formation water salinity values.

[0019] The hydrogen index measurement value of the actual environmental parameter is corrected using the third functional relationship.

[0020] In one optional implementation, obtaining the first functional relationship between the hydrogen index and the thermal neutron count ratio under standard environmental parameters includes:

[0021] Obtain the thermal neutron count ratio under different hydrogen index values ​​under standard environmental parameters;

[0022] Multiple data points are generated based on the thermal neutron count ratios under different hydrogen index values;

[0023] The first functional relationship is obtained by fitting the data points.

[0024] In one optional implementation, fitting the data points to obtain the first functional relationship includes:

[0025] The first functional relationship is obtained by fitting a cubic polynomial to the data points.

[0026] According to a second aspect of this application, a hydrogen index correction device is provided, comprising:

[0027] The acquisition module is used to obtain the first functional relationship between the hydrogen index and the thermal neutron count ratio under standard environmental parameters.

[0028] The processing module is used to simulate and obtain the thermal neutron count ratio under different porosity values ​​for any parameter value of any environmental parameter using a pre-built neutron logging forward model; wherein, the environmental parameter includes mineral type and / or fluid type; calculate the hydrogen content index value based on the thermal neutron count ratio of the environmental parameter and the first functional relationship, and generate a second functional relationship between the correction amount and the hydrogen content index under the environmental parameter value based on the porosity value and the hydrogen content index value;

[0029] The calibration module is used to calibrate the measured value of the hydrogen index of actual environmental parameters using the second functional relationship.

[0030] In one optional implementation, the processing module is configured to: for any set of corresponding porosity values ​​and hydrogen index values, obtain a correction value based on the difference between the porosity value and the hydrogen index value, and generate a data pair of correction value-hydrogen index value; and fit the second functional relationship to each data pair.

[0031] In one optional implementation, the calibration module is used to: determine whether the actual environmental parameters are consistent with the standard environmental parameters;

[0032] If so, the measured value of the hydrogen index will not be corrected;

[0033] If not, the target correction amount corresponding to the actual environmental parameters is obtained based on the second functional relationship, and the corrected value of the hydrogen content index is obtained based on the target correction amount and the hydrogen content index measurement value.

[0034] In one optional implementation, the processing module is configured to: simulate and obtain the thermal neutron count ratio under different formation water salinity values ​​using a pre-built neutron logging forward model; calculate the hydrogen content index value corresponding to different formation water salinity values ​​based on the thermal neutron count ratio under different formation water salinity values ​​and the first functional relationship; and generate a third functional relationship between the correction amount and the formation water salinity based on the hydrogen content index value corresponding to different formation water salinity values.

[0035] The calibration module is used to: calibrate the measured value of the hydrogen index of actual environmental parameters using the third functional relationship.

[0036] In one optional implementation, the acquisition module is used to: acquire the thermal neutron count ratio under different hydrogen index values ​​under standard environmental parameters;

[0037] Multiple data points are generated based on the thermal neutron count ratios under different hydrogen index values;

[0038] The first functional relationship is obtained by fitting the data points.

[0039] In one optional implementation, the acquisition module is used to: fit the data points using a cubic polynomial to obtain the first functional relationship.

[0040] According to a third aspect of this application, a computing device is provided, comprising: 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;

[0041] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the hydrogen index correction method described above.

[0042] According to a fourth aspect of this application, a computer storage medium is provided, wherein the storage medium stores at least one executable instruction that causes a processor to perform the operation corresponding to the hydrogen index correction method described above.

[0043] According to a fifth aspect of this application, a computer program product is provided, comprising at least one executable instruction that causes a processor to perform the operation corresponding to the hydrogen index correction method described above.

[0044] The hydrogen content index correction method, apparatus, computing device, computer storage medium, and computer program product provided in this application can obtain simulated neutron count values ​​corresponding to different porosity values ​​under the parameter values ​​of corresponding environmental parameters through a neutron logging forward model. Then, by combining the first functional relationship between the hydrogen content index and the thermal neutron count ratio under standard environmental parameters, the hydrogen content index value corresponding to different porosity values ​​can be obtained. Furthermore, a second functional relationship between the correction amount and the hydrogen content index under the parameter values ​​of corresponding environmental parameters can be obtained. The hydrogen content index measurement value is corrected through the second functional relationship, thereby enabling hydrogen content index correction for complex environments with different mineral types and / or fluid types, improving the applicability of hydrogen content index correction, and enhancing the accuracy of hydrogen content index in characterizing formation porosity.

[0045] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0046] 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 scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0047] Figure 1A flowchart illustrating a hydrogen index correction method provided in Embodiment 1 of this application is shown.

[0048] Figure 2 A schematic diagram of a radioactive compensated neutron logging device provided in Embodiment 1 of this application is shown;

[0049] Figure 3 This illustration shows a schematic diagram of hydrogen content index and porosity values ​​under general lithology provided in Embodiment 1 of this application;

[0050] Figure 4 This illustration shows a schematic diagram of the hydrogen content index and porosity value of a common mineral according to Embodiment 1 of this application;

[0051] Figure 5 This paper shows a schematic diagram of the hydrogen content index and porosity value of kaolinite according to Embodiment 1 of this application;

[0052] Figure 6 This illustration shows a schematic diagram of hydrogen content index and porosity values ​​under different fluids, provided in Embodiment 1 of this application.

[0053] Figure 7 This illustration shows a schematic diagram of a correction effect provided in Embodiment 1 of this application;

[0054] Figure 8 A schematic flowchart of a hydrogen index correction method provided in Embodiment 2 of this application is shown;

[0055] Figure 9 This illustration shows a schematic diagram of a hydrogen content index value and a formation water salinity value provided in Embodiment 2 of this application;

[0056] Figure 10 This paper shows a schematic diagram of the structure of a hydrogen index correction device provided in Embodiment 3 of this application;

[0057] Figure 11 A schematic diagram of the structure of a computing device provided in Embodiment 4 of this application is shown. Detailed Implementation

[0058] Exemplary embodiments of the present application will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application 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 application will be thorough and complete, and will fully convey the scope of the present application to those skilled in the art.

[0059] Example 1

[0060] Figure 1A schematic flowchart of a hydrogen index correction method provided in Embodiment 1 of this application is shown.

[0061] In this application, the embodiments are used to correct the hydrogen content index measured under complex environments with different mineral types and / or fluid types.

[0062] Specifically, such as Figure 1 As shown, the method includes the following steps:

[0063] Step S101: Obtain the first functional relationship between the hydrogen content index and the thermal neutron count ratio under standard environmental parameters.

[0064] The standard environmental parameters refer to the standard values ​​of each environmental parameter. The environmental parameters described in this application may include: mineral type, fluid type, and / or formation water salinity. The hydrogen content index measured under the standard environmental parameters is consistent with the formation porosity. For example, the standard environmental parameters could be: mineral type = calcite, fluid type = pure water, formation water salinity = 0. Alternatively, the standard environmental parameters could be water-bearing porous limestone.

[0065] The mapping relationship between the hydrogen content index and the thermal neutron count ratio under standard environmental parameters is obtained, and this mapping relationship is called the first functional relationship. Specifically, the thermal neutron count ratio is the ratio of the thermal neutron count rate of the near detector to that of the far detector during logging with a radioactively compensated neutron logging device, and can also be called the near-far thermal neutron count ratio.

[0066] In an optional implementation, to improve the accuracy of determining the first functional relationship, the following steps can be used to generate the first functional relationship: obtaining the thermal neutron count ratios under different hydrogen index values ​​under standard environmental parameters; generating multiple data points based on the thermal neutron count ratios under different hydrogen index values; and fitting the data points to obtain the first functional relationship. Specifically, the hydrogen index value and the corresponding thermal neutron count ratio under standard environmental parameters can be detected by corresponding measurement methods. A data point is formed by combining the corresponding hydrogen index value and thermal neutron count ratio, and the first functional relationship is obtained by fitting the data point using a cubic polynomial. The fitting function of the cubic polynomial can be as shown in Formula 1:

[0067] H = aR 3 +bR 3 +cR 3 +d (Formula 1)

[0068] Where H represents the hydrogen index; R represents the thermal neutron count ratio; and a, b, c, and d are the coefficients to be fitted.

[0069] Using Formula 1 to fit the data points, we obtain the specific values ​​of a, b, c, and d. Substituting these values ​​into Formula 1, we obtain the first functional relationship, which can be represented as shown in Formula 2.

[0070] H = 0.00009R 3 -0.0071R 2 +1.1499R-9.6047 (Formula 2)

[0071] Step S102: For any parameter value of any environmental parameter, use a pre-built neutron logging forward model to simulate and obtain the thermal neutron count ratio under different porosity values; wherein, the environmental parameter includes mineral type and / or fluid type.

[0072] A pre-constructed neutron logging forward model is available, which can simulate the detection performance of a radioactively compensated neutron logging device in different formation environments. The radioactively compensated neutron logging device can, for example... Figure 2 As shown, the radioactively compensated neutron logging device includes a neutron source 1, a near detector 2, and a far detector 3. All three are housed within a cylindrical shell placed within the wellbore, which is surrounded by the formation being measured, strata 4. The far detector 3 is positioned above the neutron source 1, and the near detector 2 is located between the neutron source 1 and the far detector 3. In actual implementation, relevant parameters of the radioactively compensated neutron logging device in the neutron logging forward model can be selected according to the actual situation. For example, the neutron source can be an Am-Be neutron source with an average fast neutron energy of 4.5 MeV. The near detector 2 and far detector 3 can be He-3 thermal neutron counters. The distance between the near detector 2 and the Am-Be neutron source 1 is 25–35 cm, and the distance between the far detector and the Am-Be neutron source 1 is 55–65 cm.

[0073] This application provides environmental parameters such as mineral type and / or fluid type, and different parameter values ​​can be selected for each environmental parameter. The specific parameter value for the mineral type represents the corresponding mineral type, and the specific parameter value for the fluid type represents the corresponding fluid type. For example, the parameter value for the mineral type can be: calcite, dolomite, quartz, gypsum, anhydrite, rock salt, hematite, and / or the clay mineral kaolinite; the parameter value for the fluid type can be: petroleum, natural gas, and / or carbon dioxide, etc.

[0074] For any environmental parameter and any value thereof, a pre-built neutron logging forward model is used to simulate and obtain the thermal neutron count ratio under different porosity values. Specifically, for that environmental parameter and its value, the formation parameters in the neutron logging forward model are set to match that environmental parameter and its value, while the values ​​of other environmental parameters remain as they are under the standard environmental parameters. For example, if the current simulation is of quartz (i.e., the parameter value of the mineral type = quartz), then the formation mineral type in the neutron logging forward model is set to quartz, the fluid type in the model is pure water, and the formation water salinity is zero (i.e., the parameter values ​​of other environmental parameters = the parameter values ​​under the corresponding standard environmental parameters). If the current simulation is of oil (i.e., the parameter value of the fluid type = oil), then the formation fluid type in the neutron logging forward model is set to oil, and the mineral type in the model is calcite (i.e., the parameter values ​​of other environmental parameters = the parameter values ​​under the corresponding standard environmental parameters).

[0075] The formation porosity of the neutron logging forward model is further set to different values, which are called porosity values. The thermal neutron count ratio under different porosity values ​​is obtained by simulating the neutron logging forward model.

[0076] Therefore, the thermal neutron count ratios corresponding to different porosity values ​​under different mineral types can be obtained, and / or the thermal neutron count ratios corresponding to different porosity values ​​under different fluid types can be obtained.

[0077] Step S103: For any parameter value of any environmental parameter, calculate the hydrogen content index value based on the thermal neutron count ratio of the parameter value and the first functional relationship, and generate a second functional relationship between the correction amount of the parameter value and the hydrogen content index based on the porosity value and the hydrogen content index value.

[0078] For any environmental parameter and any value, step S102 yields the thermal neutron count ratios corresponding to different porosity values ​​for that environmental parameter. Substituting each thermal neutron count ratio into the first functional relationship yields the corresponding hydrogen content index value. This hydrogen content index value is the hydrogen content index value. There is a one-to-one correspondence between the hydrogen content index value and the porosity value. For example, substituting the thermal neutron count ratio of the porosity value P1 into the first functional relationship yields the hydrogen content index value H1, and H1 corresponds to P1.

[0079] Furthermore, a second functional relationship between the correction amount and the hydrogen content index for this environmental parameter is generated based on the porosity value and the hydrogen content index value. Specifically, for any set of corresponding porosity values ​​and hydrogen content index values, a correction value is obtained based on the difference between the porosity value and the hydrogen content index value, and a data pair of correction value - hydrogen content index value is generated; the second functional relationship is obtained by fitting each data pair. For example, for this environmental parameter value, multiple data points (porosity value, hydrogen content index value) can be obtained. Reconstructing the data points yields (porosity value - hydrogen content index value, hydrogen content index value), where the porosity value - hydrogen content index value represents the correction value, thus obtaining multiple data pairs (correction value, hydrogen content index value). By fitting the data of these multiple data pairs (correction value, hydrogen content index value), the mapping relationship between the correction amount and the hydrogen content index value can be obtained. This mapping relationship is the second functional relationship between the correction amount and the hydrogen content index.

[0080] by Figure 3 , Figure 4 , Figure 5 , Figure 6 For example, in the graph, the horizontal axis represents formation porosity, corresponding to the porosity value, and the vertical axis represents the hydrogen content index, corresponding to the hydrogen content index value. Figure 3 As shown, multiple data points (porosity value, hydrogen content index value) were obtained for the mineral type at parameter values ​​of calcite, dolomite, and quartz; as... Figure 4 As shown, multiple data points (porosity value, hydrogen content index value) were obtained for mineral types with parameter values ​​of gypsum, anhydrite, rock salt, and hematite; Figure 5 As shown, multiple data points (porosity value, hydrogen content index value) were obtained for the mineral type at the parameter value of kaolinite; as... Figure 6 As shown, multiple data points (porosity value, hydrogen content index value) were obtained for the fluid types of oil, natural gas, and carbon dioxide, respectively. The purpose of hydrogen content index correction is to correct the measured hydrogen content index to be consistent with the porosity. Figures 3-6 The straight line that represents the ratio of porosity to hydrogen content in the middle formation is the calibration standard line. Figures 3-6 The difference between the porosity of the middle formation and the hydrogen content index is the correction factor. Then, by fitting the data points (correction factor, hydrogen content index value), a second functional relationship can be obtained.

[0081] For example, based on Figure 3 The data points can be used to obtain the second function relationship of mineral types for parameter values ​​of calcite, dolomite, and quartz; based on Figure 4 The data points can be used to obtain the second function relationship of mineral types for parameter values ​​of gypsum, anhydrite, rock salt, and hematite; based on Figure 5 The data points yielded a second functional relationship between mineral types and the parameter value of kaolinite; for example... Figure 6As shown, the second functional relationship of fluid type is obtained for parameter values ​​of oil, natural gas, and carbon dioxide, respectively.

[0082] In one alternative implementation, the resulting second functional relationship can be as shown in Table 1, where C represents the correction amount and H represents the hydrogen content index.

[0083] Table 1

[0084]

[0085] Step S104: Correct the measured value of hydrogen index of actual environmental parameters using the second functional relationship.

[0086] Step S103 can obtain the second function relationship of any environmental parameter under different parameter values. Based on the current actual environmental parameter and the second function relationship, a correction amount can be obtained. The hydrogen content index measurement value is corrected using the correction amount to obtain the corrected value of the hydrogen content index.

[0087] In one optional implementation, it is determined whether the actual environmental parameters are consistent with the standard environmental parameters (i.e., whether the actual environmental parameters are the same as the parameter values ​​of the standard environmental parameters); if so, the hydrogen index measurement value is not corrected; if not, the target correction amount corresponding to the actual environmental parameters is obtained based on the second functional relationship, and the corrected value of the hydrogen index is obtained based on the target correction amount and the hydrogen index measurement value.

[0088] Optionally, when the actual environmental parameters differ from the standard environmental parameters, if the difference lies only in the mineral type parameter value, then a first objective second function relationship is obtained from the mineral type parameter value in the actual environmental parameters. The hydrogen content index measurement value is then substituted into the objective second function relationship to obtain a first objective correction amount, which is then used to correct the hydrogen content index measurement value to obtain a corrected hydrogen content index value. Alternatively, if the actual environmental parameters differ from the standard environmental parameters only in the fluid type parameter value, then a second objective second function relationship is obtained from the fluid type parameter value in the actual environmental parameters. The hydrogen content index measurement value is then substituted into the objective second function relationship to obtain a second objective correction amount, which is then used to correct the hydrogen content index measurement value to obtain a corrected hydrogen content index value. After calibration, if the actual environmental parameters and the standard environmental parameters for mineral type and fluid type are inconsistent, the first objective second function relationship for the mineral type parameter value and the second objective second function relationship for the fluid type parameter value in the actual environmental parameters are obtained. The hydrogen index measurement value is substituted into the first objective second function relationship to obtain the first objective correction value, and the hydrogen index measurement value is substituted into the second objective second function relationship to obtain the second objective correction value. Then, the first objective correction value and the second objective correction value are used to calibrate the hydrogen index measurement value to obtain the calibrated value of the hydrogen index (for example, the sum of the first objective correction value and the second objective correction value can be used as the final objective correction value, and the final objective correction value can be used to calibrate the hydrogen index measurement value to obtain the calibrated value of the hydrogen index).

[0089] like Figure 7 As shown, the measured value of hydrogen content index (hydrogen content index before correction) deviates significantly from the core porosity. After correcting the measured value of hydrogen content index using the hydrogen content index correction method provided in this application, the corrected value of hydrogen content index (corrected hydrogen content index) is obtained. The corrected hydrogen content index matches the core porosity. Therefore, the hydrogen content index correction method provided in this application has high correction accuracy.

[0090] Therefore, the hydrogen index correction method provided in this application can obtain the simulated neutron count values ​​corresponding to different porosity values ​​under the parameter values ​​of the corresponding environmental parameters through the neutron logging forward model. Then, by combining the first functional relationship between the hydrogen index and the thermal neutron count ratio under the standard environmental parameters, the hydrogen index value corresponding to different porosity values ​​can be obtained. Furthermore, the second functional relationship between the correction amount and the hydrogen index under the parameter values ​​of the corresponding environmental parameters can be obtained. The hydrogen index measurement value is corrected by the second functional relationship, thereby enabling hydrogen index correction for complex environments with different mineral types and / or fluid types, improving the applicability of hydrogen index correction, and enhancing the accuracy of hydrogen index in characterizing formation porosity.

[0091] Example 2

[0092] Figure 8 A flowchart illustrating a hydrogen index correction method provided in Embodiment 2 of this application is shown.

[0093] In this application, the embodiment is used to correct the hydrogen content index measured under different formation water salinity environments.

[0094] Specifically, such as Figure 8 As shown, the method includes the following steps:

[0095] Step S801: Obtain the first functional relationship between the hydrogen content index and the thermal neutron count ratio under standard environmental parameters.

[0096] Step S802: Use a pre-built neutron logging forward model to simulate and obtain the thermal neutron count ratio under different formation water salinity values.

[0097] The formation water salinity in the neutron logging forward model is set to different values, thus obtaining different formation water salinity values. For each formation water salinity value, the thermal neutron count ratio is simulated and obtained using the neutron logging forward model.

[0098] Step S803: Calculate the hydrogen index value corresponding to different formation water salinity values ​​based on the thermal neutron count ratio under different formation water salinity values ​​and the first functional relationship.

[0099] For each formation water salinity value, the thermal neutron count ratio is substituted into the first functional relationship to obtain the hydrogen content index value corresponding to that formation water salinity value. Therefore, this step allows us to obtain the hydrogen content index values ​​corresponding to different formation water salinity values.

[0100] Step S804: Generate a third functional relationship between the correction amount and the formation water salinity based on the hydrogen index value corresponding to different formation water salinity values.

[0101] A data point can be formed by corresponding formation water salinity values ​​and hydrogen index values, for example, (formation water salinity value, hydrogen index value). Under standard conditions, the hydrogen index corresponding to different formation water salinities with the same porosity should be the same. Processing this data point yields (formation water salinity value, porosity - hydrogen index value), where porosity - hydrogen index value is the correction factor, thus obtaining the data point (formation water salinity value, correction factor). By fitting multiple data points (formation water salinity value, correction factor), a third functional relationship between the correction factor and formation water salinity can be obtained.

[0102] Figure 9 The formation water salinity value when the porosity is 20% (corresponding to) Figure 9 (x-axis) and hydrogen content index (corresponding to) Figure 9The diagram illustrates the relationship between the vertical axis and the horizontal axis. Since the porosity is 20%, the correction standard is a hydrogen content index value of 20%. Therefore, for... Figure 9 The data points in the data are 20% - the vertical coordinate of the data points, which is the correction value. This gives us the data points (formation water salinity value, correction value), and then we obtain the third function relationship through data fitting.

[0103] For example, the third functional relationship can be shown in Formula 3:

[0104] C 矿化度 =-[-0.0002M 2 +0.081M+1.4725] (Formula 3)

[0105] Among them, C 矿化度 This represents the correction value corresponding to the formation water salinity; M represents the formation water salinity.

[0106] Step S805: Correct the measured value of hydrogen index of actual environmental parameters using the third functional relationship.

[0107] Specifically, if the measured value of formation water salinity in the actual environmental parameters does not match the standard formation water salinity, the measured value of formation water salinity is substituted into the third function relationship to obtain the correction amount. This correction amount is then used to correct the measured value of hydrogen index to obtain the corrected value of hydrogen index.

[0108] Therefore, the hydrogen content index correction method provided in this application embodiment can also correct the hydrogen content index in complex environments with different formation water salinity, improve the applicability of hydrogen content index correction, and improve the accuracy of hydrogen content index in characterizing formation porosity.

[0109] Furthermore, in actual implementation, the above-mentioned Embodiment 1 and Embodiment 2 can be applied in combination. That is, for each environmental parameter (mineral type, fluid type, formation water salinity) that does not match the actual environmental parameters, a matching correction method is used to obtain the correction amount corresponding to the environmental parameter. The total correction amount is obtained by summing the correction amounts corresponding to each mismatched environmental parameter. Then, the total correction amount is superimposed on the hydrogen index measurement value to obtain the corrected value of the hydrogen index.

[0110] Example 3

[0111] Figure 10 A schematic diagram of a hydrogen index correction device provided in Embodiment 3 of this application is shown. Figure 10 As shown, the device 1000 includes: an acquisition module 1010, a processing module 1020, and a correction module 1030.

[0112] The acquisition module 1010 is used to acquire the first functional relationship between the hydrogen index and the thermal neutron count ratio under standard environmental parameters;

[0113] The processing module 1020 is used to simulate and obtain the thermal neutron count ratio under different porosity values ​​for any parameter value of any environmental parameter using a pre-built neutron logging forward model; wherein, the environmental parameter includes mineral type and / or fluid type; calculate the hydrogen content index value based on the thermal neutron count ratio of the environmental parameter and the first functional relationship, and generate a second functional relationship between the correction amount and the hydrogen content index under the environmental parameter value based on the porosity value and the hydrogen content index value;

[0114] The calibration module 1030 is used to calibrate the measured value of the hydrogen index of the actual environmental parameter using the second functional relationship.

[0115] In one optional implementation, the processing module 1020 is configured to: for any set of corresponding porosity values ​​and hydrogen index values, obtain a correction value based on the difference between the porosity value and the hydrogen index value, and generate a data pair of correction value-hydrogen index value; and fit the second functional relationship to each data pair.

[0116] In one optional implementation, the calibration module 1030 is used to: determine whether the actual environmental parameters are consistent with the standard environmental parameters;

[0117] If so, the measured value of the hydrogen index will not be corrected;

[0118] If not, the target correction amount corresponding to the actual environmental parameters is obtained based on the second functional relationship, and the corrected value of the hydrogen content index is obtained based on the target correction amount and the hydrogen content index measurement value.

[0119] In one optional implementation, the processing module 1020 is configured to: simulate and obtain the thermal neutron count ratio under different formation water salinity values ​​using a pre-built neutron logging forward model; calculate the hydrogen content index value corresponding to different formation water salinity values ​​based on the thermal neutron count ratio under different formation water salinity values ​​and the first functional relationship; and generate a third functional relationship between the correction amount and the formation water salinity based on the hydrogen content index value corresponding to different formation water salinity values.

[0120] The calibration module 1030 is used to: calibrate the measured value of the hydrogen index of the actual environmental parameters using the third functional relationship.

[0121] In one optional implementation, the acquisition module 1010 is used to: acquire the thermal neutron count ratio under different hydrogen index values ​​under standard environmental parameters;

[0122] Multiple data points are generated based on the thermal neutron count ratios under different hydrogen index values;

[0123] The first functional relationship is obtained by fitting the data points.

[0124] In one optional implementation, the acquisition module 1010 is used to: fit the data points using a cubic polynomial to obtain the first function relationship.

[0125] Therefore, the hydrogen index correction device provided in this application embodiment can simulate the neutron count simulation values ​​corresponding to different porosity values ​​under the parameter values ​​of the corresponding environmental parameters through the neutron logging forward model. Then, by combining the first functional relationship between the hydrogen index and the thermal neutron count ratio under the standard environmental parameters, the hydrogen index value corresponding to different porosity values ​​can be obtained. Furthermore, the second functional relationship between the correction amount and the hydrogen index under the parameter values ​​of the corresponding environmental parameters can be obtained. The hydrogen index measurement value is corrected by the second functional relationship, thereby enabling hydrogen index correction for complex environments with different mineral types and / or fluid types, improving the applicability of hydrogen index correction, and enhancing the accuracy of hydrogen index in characterizing formation porosity.

[0126] Example 4

[0127] Figure 11 A schematic diagram of the structure of a computing device provided in Embodiment 4 of this application is shown. Figure 11 The diagram shows a structural schematic of an embodiment of the computing device of this application. The specific embodiments of this application do not limit the specific implementation of the computing device.

[0128] like Figure 11 As shown, the computing device may include: a processor 1102, a communications interface 1104, a memory 1106, and a communications bus 1108.

[0129] The processor 1102, communication interface 1104, and memory 1106 communicate with each other via communication bus 1108. Communication interface 1104 is used to communicate with other network elements, such as clients or other servers. The processor 1102 executes program 1110, specifically performing the relevant steps in the above-described embodiment of the hydrogen index correction method for computing devices.

[0130] Specifically, program 1110 may include program code that includes computer operation instructions.

[0131] The processor 1102 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.

[0132] Memory 1106 is used to store program 1110. Memory 1106 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device. Program 1110 can specifically be used to cause processor 1102 to perform the operations described in the method embodiments above.

[0133] Example 5

[0134] Embodiment 5 of this application provides a non-volatile computer storage medium storing at least one executable instruction or computer program that enables a processor to perform the operation corresponding to the hydrogen index correction method in any of the above method embodiments.

[0135] Example 6

[0136] Embodiment 6 of this application provides a computer program product, which includes at least one executable instruction or computer program that enables a processor to perform the operation corresponding to the hydrogen index correction method in any of the above method embodiments.

[0137] In summary, based on the computing device, computer storage medium, and computer program product provided in this embodiment, the simulated neutron count values ​​corresponding to different porosity values ​​under the parameter values ​​of the corresponding environmental parameters can be obtained through the neutron logging forward model. Then, by combining the first functional relationship between the hydrogen index and the thermal neutron count ratio under the standard environmental parameters, the hydrogen index value corresponding to different porosity values ​​can be obtained. Furthermore, the second functional relationship between the correction amount and the hydrogen index under the parameter values ​​of the corresponding environmental parameters can be obtained. The hydrogen index measurement value is corrected through the second functional relationship, thereby enabling hydrogen index correction for complex environments with different mineral types and / or fluid types, improving the applicability of hydrogen index correction, and enhancing the accuracy of the hydrogen index in characterizing formation porosity.

[0138] The algorithms or 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, the embodiments of this application are not directed to any particular programming language. It should be understood that the content of this application 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 this application.

[0139] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of this application 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.

[0140] Similarly, it should be understood that, in order to simplify this application and aid in understanding one or more of the various inventive aspects, features of the embodiments of this application are sometimes grouped together in a single embodiment, figure, or description thereof in the above description of exemplary embodiments of this application. However, this method of disclosure should not be construed as reflecting an intention that the claimed application requires more features than expressly recited in each claim. Rather, as reflected in the following 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 this application.

[0141] 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.

[0142] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of this application and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0143] The various component embodiments of this application 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 this application. This application 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 an implementation of this application 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.

[0144] It should be noted that the above embodiments are illustrative of this application and not restrictive, and 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. This application 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. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. A method for correcting hydrogen content index, characterized in that, include: Obtain the first functional relationship between the hydrogen content index and the thermal neutron count ratio under standard environmental parameters; For any environmental parameter and any value of any environmental parameter, a pre-built neutron logging forward model is used to simulate and obtain the thermal neutron count ratio under different porosity values; wherein, the environmental parameter includes mineral type and / or fluid type; The hydrogen content index is calculated based on the thermal neutron count ratio of the environmental parameter and the first functional relationship. A second functional relationship between the correction amount of the environmental parameter and the hydrogen content index is generated based on the porosity value and the hydrogen content index. The hydrogen index measurement of actual environmental parameters is corrected using the second functional relationship.

2. The method according to claim 1, characterized in that, The second functional relationship between the correction amount of the environmental parameter value and the hydrogen content index, generated based on the porosity value and the hydrogen content index, includes: For any given set of porosity values ​​and hydrogen index values, a correction value is obtained based on the difference between the porosity value and the hydrogen index value, and a data pair of correction value and hydrogen index value is generated. The second function relationship is obtained by fitting the data pairs.

3. The method according to claim 1, characterized in that, The correction of the measured hydrogen index value of the actual environmental parameter using the second functional relationship includes: Determine whether the actual environmental parameters are consistent with the standard environmental parameters; If so, the measured value of the hydrogen index will not be corrected; If not, the target correction amount corresponding to the actual environmental parameters is obtained based on the second functional relationship, and the corrected value of the hydrogen content index is obtained based on the target correction amount and the hydrogen content index measurement value.

4. The method according to claim 1, characterized in that, The method further includes: The thermal neutron count ratio under different formation water salinity values ​​was obtained by using a pre-constructed neutron logging forward model. The hydrogen content index corresponding to different formation water salinity values ​​is calculated based on the thermal neutron count ratio under different formation water salinity values ​​and the first functional relationship. A third functional relationship between the correction amount and formation water salinity is generated based on the hydrogen content index corresponding to different formation water salinity values. The hydrogen index measurement value of the actual environmental parameter is corrected using the third functional relationship.

5. The method according to any one of claims 1-4, characterized in that, The process of obtaining the first functional relationship between the hydrogen content index and the thermal neutron count ratio under standard environmental parameters includes: Obtain the thermal neutron count ratio under different hydrogen index values ​​under standard environmental parameters; Multiple data points are generated based on the thermal neutron count ratios under different hydrogen index values; The first functional relationship is obtained by fitting the data points.

6. The method according to claim 5, characterized in that, The process of fitting the data points to obtain the first functional relationship includes: The first functional relationship is obtained by fitting a cubic polynomial to the data points.

7. A hydrogen content index correction device, characterized in that, include: The acquisition module is used to obtain the first functional relationship between the hydrogen index and the thermal neutron count ratio under standard environmental parameters. The processing module is used to simulate and obtain the thermal neutron count ratio under different porosity values ​​for any parameter value of any environmental parameter using a pre-built neutron logging forward model; wherein, the environmental parameter includes mineral type and / or fluid type; calculate the hydrogen content index value based on the thermal neutron count ratio of the environmental parameter and the first functional relationship, and generate a second functional relationship between the correction amount and the hydrogen content index under the environmental parameter value based on the porosity value and the hydrogen content index value; The calibration module is used to calibrate the measured value of the hydrogen index of actual environmental parameters using the second functional relationship.

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 hydrogen index correction method as described in any one of claims 1-6.

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

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