Shale oil layer TOC calculation method and system based on resistivity correction

Abstract

The invention belongs to the technical field of oil-gas exploration, and discloses a shale oil layer TOC calculation method and system based on resistivity correction, and the method comprises the steps: determining the correlation among rock minerals of a target interval of a shale oil layer, the resistivity and the sound wave velocity; establishing a resistivity correction model based on lithology on the basis of the correlation between the rock mineral and the resistivity and the acoustic velocity; according to a resistivity correction model based on lithology, an improved delta LogR TOC calculation model is established; and determining the TOC content of the target interval of the shale oil layer according to the improved delta LogR TOC calculation model. According to the method, the resistivity correction model based on the lithology is established, the influence of complex lithology on the logging curve is eliminated, the TOC calculation precision is improved from 50% to 95% or above, the requirement for shale oil layer hydrocarbon source rock evaluation can be met, new logging curves do not need to be added, the method can be achieved through a conventional logging curve, operation is easy, and precision is high.

Description

Technical Field

[0001] The present invention belongs to the technical field of oil and gas exploration, and in particular relates to a shale oil layer TOC calculation method and system based on resistivity correction. Background Art

[0002] Source rock evaluation is the basis of all comprehensive oil and gas evaluation. The quality of source rocks determines the enrichment of shale oil, and the evaluation of source rocks has become one of the important tasks in shale oil exploration and evaluation. Organic carbon content (TOC, Total Organic Carbon) is the most important indicator reflecting the abundance of rock organic matter in source rock evaluation and is an important basis for further work. Therefore, quantitative evaluation of TOC is the primary task of shale oil source rock evaluation.

[0003] GR energy spectrum, ΔLogR, multi-parameter regression and other methods are commonly used to calculate TOC in source rock evaluation. In recent years, Schlumberger's high-precision element logging instrument (Litho Scanner) has been developed to measure the total carbon content (TC) of the formation minus the inorganic carbon content (TIC) in the rock to obtain the organic carbon content (TOC) of the formation.

[0004] The above method has poor application effect in areas with low TOC content and complex lithology. There are two main reasons:

[0005] 1. The element logging instrument (Litho Scanner) has a 2% error in calculating TOC content, which means that when the TOC content is around 2%, the calculation error of this method is large;

[0006] 2. Other methods do not fully consider the impact of lithology on logging response, resulting in low calculation accuracy in blocks with diverse minerals and complex lithology. Summary of the invention

[0007] In view of the above problems, the present invention provides a shale oil layer TOC calculation method and system based on resistivity correction, which adopts the following technical solutions:

[0008] A method for calculating TOC of a shale oil layer based on resistivity correction comprises the following steps:

[0009] Determine the correlation between rock minerals and resistivity and acoustic velocity in the target interval of shale oil layer;

[0010] Based on the correlation between rock minerals and resistivity and acoustic wave velocity, a resistivity correction model based on lithology is established;

[0011] According to the resistivity correction model based on lithology, an improved ΔLogR TOC calculation model is established;

[0012] According to the improved ΔLogR TOC calculation model, the TOC content of the target layer of the shale oil layer is determined.

[0013] Further, determining the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of the shale oil layer includes the following steps:

[0014] Based on the whole rock analysis and acoustic-electric joint measurement experiment of the target layer of the shale oil layer, the composition of the rock minerals, the content of each component of the rock minerals, the resistivity curve and the acoustic velocity curve of the target layer of the shale oil layer are obtained;

[0015] According to the composition of rock minerals in the target layer of the shale oil layer, the content of each component of rock minerals, resistivity curve and acoustic wave velocity curve, the correlation between the rock minerals in the target layer of the shale oil layer and the resistivity and acoustic wave velocity is determined, wherein the rock mineral composition includes clay, dolomite and quartz.

[0016] Further, determining the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of the shale oil layer includes the following steps:

[0017] A first two-dimensional coordinate system is established, wherein the X-axis of the first two-dimensional coordinate system represents the dolomite content in the rock minerals, and the Y-axis of the first two-dimensional coordinate system represents the resistivity. A plurality of points on the first two-dimensional coordinate system are used to respectively represent the resistivity corresponding to different dolomite contents. Straight lines are fitted to the plurality of points on the first two-dimensional coordinate system, and it is determined based on the fitted straight line that the dolomite content is positively correlated with the resistivity.

[0018] Furthermore, determining the correlation between the rock minerals and the resistivity and acoustic wave velocity of the target layer of the shale oil layer also includes the following steps:

[0019] A second two-dimensional coordinate system is established, wherein the X-axis of the second two-dimensional coordinate system represents the clay content in the rock minerals, and the Y-axis of the second two-dimensional coordinate system represents the resistivity. A plurality of points on the second two-dimensional coordinate system are used to represent the resistivity corresponding to different clay contents, and a straight line is fitted to the plurality of points on the second two-dimensional coordinate system. According to the fitted straight line, it is determined that the clay content is negatively correlated with the resistivity.

[0020] Furthermore, determining the correlation between the rock minerals and the resistivity and acoustic wave velocity of the target layer of the shale oil layer also includes the following steps:

[0021] A third two-dimensional coordinate system is established, wherein the X-axis of the third two-dimensional coordinate system represents the dolomite content in rock minerals, and the Y-axis of the third two-dimensional coordinate system represents the longitudinal wave velocity. A plurality of points on the third two-dimensional coordinate system are respectively used to represent the longitudinal wave velocities corresponding to different dolomite contents. A straight line is fitted to the plurality of points on the third two-dimensional coordinate system, and it is determined based on the fitted straight line that the dolomite content is positively correlated with the acoustic wave velocity.

[0022] Furthermore, determining the correlation between the rock minerals and the resistivity and acoustic wave velocity of the target layer of the shale oil layer also includes the following steps:

[0023] A fourth two-dimensional coordinate system is established, wherein the X-axis of the fourth two-dimensional coordinate system represents the clay content in the rock minerals, and the Y-axis of the fourth two-dimensional coordinate system represents the longitudinal wave velocity. A plurality of points on the fourth two-dimensional coordinate system are respectively used to represent the longitudinal wave velocities corresponding to different clay contents. Straight lines are fitted to the plurality of points on the fourth two-dimensional coordinate system, and it is determined based on the fitted straight line that the clay content is negatively correlated with the sound wave velocity.

[0024] Furthermore, based on the correlation between rock minerals and resistivity and acoustic wave velocity, a resistivity correction model based on lithology is established, including the following steps:

[0025] According to the measured resistivity, measured acoustic wave velocity and base value of acoustic wave velocity, a resistivity correction model based on lithology is determined.

[0026] Furthermore, the resistivity correction model based on lithology is as follows:

[0027]

[0028] Where: RT 校正 is the corrected resistivity of the target layer, RT is the measured resistivity of the target layer. α, β are correction coefficients; v p is the measured acoustic wave velocity of the target layer, ft / us; b is the base value of the acoustic wave velocity.

[0029] Furthermore, according to the lithology-based resistivity correction model, an improved ΔLogR TOC calculation model is established, including the following steps:

[0030] The improved ΔLogR TOC calculation model is determined according to the resistivity correction model based on lithology, the resistivity logging values ​​corresponding to the non-source rock interval, the acoustic time difference and the acoustic logging values ​​corresponding to the non-source rock interval.

[0031] Furthermore, an improved ΔLogR TOC calculation model was established, as follows:

[0032]

[0033] Wherein, ΔlogR is the numerical representation of the distance between resistivity and porosity curves; it is dimensionless; RT is the measured resistivity of the target layer. Δt represents the acoustic time difference of the target layer, us / ft; Δt 基线 Indicates the acoustic logging value corresponding to the non-source rock layer, us / ft; RT基线 Indicates the resistivity logging value corresponding to the non-source rock layer. ε represents the scale factor, which is the coefficient of one unit of acoustic wave time difference Δt relative to one unit of logarithmic coordinates of resistivity.

[0034] The present invention also provides a shale oil layer TOC calculation system based on resistivity correction, comprising:

[0035] The first calculation module is used to determine the correlation between the rock minerals and the resistivity and the acoustic wave velocity of the target layer section of the shale oil layer;

[0036] The first model building module is used to build a resistivity correction model based on lithology based on the correlation between rock minerals and resistivity and acoustic wave velocity;

[0037] The second model building module is used to build an improved ΔLogRTOC calculation model according to a resistivity correction model based on lithology;

[0038] The second calculation module is used to determine the TOC content of the target layer section of the shale oil layer according to the improved ΔLogR TOC calculation model.

[0039] Furthermore, the first computing module is specifically used for:

[0040] Based on the whole rock analysis and acoustic-electric joint measurement experiment of the target layer of the shale oil layer, the composition of the rock minerals, the content of each component of the rock minerals, the resistivity curve and the acoustic velocity curve of the target layer of the shale oil layer are obtained;

[0041] According to the composition of rock minerals in the target layer of the shale oil layer, the content of each component of rock minerals, resistivity curve and acoustic wave velocity curve, the correlation between the rock minerals in the target layer of the shale oil layer and the resistivity and acoustic wave velocity is determined, wherein the rock mineral composition includes clay, dolomite and quartz.

[0042] Beneficial effects of the invention: The invention establishes a resistivity correction model based on lithology to eliminate the influence of complex lithology on the well logging curve, and improves the TOC calculation accuracy from 50% to more than 95%, which can meet the needs of shale oil layer source rock evaluation. Compared with the prior art, the technology of the invention does not need to add new well logging curves, and can be realized by using conventional well logging curves, which is easy to operate and has high accuracy.

[0043] Other features and advantages of the present invention will be described in the following description, and partly become obvious from the description, or be understood by implementing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 A schematic flow chart of a method for calculating TOC of a shale oil layer based on resistivity correction according to an embodiment of the present invention is shown;

[0046] Figure 2 A schematic diagram showing the correlation between dolomite content and resistivity according to an embodiment of the present invention;

[0047] Figure 3 A schematic diagram showing the correlation between clay content and resistivity according to an embodiment of the present invention;

[0048] Figure 4 A schematic diagram showing the correlation between dolomite content and acoustic wave velocity according to an embodiment of the present invention;

[0049] Figure 5 A schematic diagram showing the correlation between clay content and acoustic wave velocity according to an embodiment of the present invention;

[0050] Figure 6 A comparison diagram of TOC calculation results of a shale oil well before and after correction by the lithology-based resistivity correction model of the present invention is shown;

[0051] Figure 7 A structural schematic diagram of a shale oil layer TOC calculation system based on resistivity correction according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] It should be noted that the terms "first", "second", etc. in the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0054] It should be noted that the lithology of mixed shale oil layers is complex. When the TOC content is low, the logging response characteristics of TOC are not obvious because the logging resistivity and three-porosity curves are affected by the lithology. The direct use of the ΔLogR method to calculate TOC has low accuracy and cannot meet the needs of shale oil source rock evaluation.

[0055] The present invention provides a shale oil layer TOC calculation method and system based on resistivity correction. On the basis of clarifying the influence of lithology on logging response, a logging response correction model based on lithology is established, so that the logging response can better reflect the influence of TOC, thereby realizing high-precision continuous quantitative characterization of TOC.

[0056] like Figure 1 As shown, a method for calculating TOC of a shale oil layer based on resistivity correction includes the following steps:

[0057] S1. Determine the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of shale oil layer, as follows:

[0058] S11. Based on the whole rock analysis and acoustic-electrical measurement experiment of the target layer section of the shale oil layer, the composition of the rock minerals, the content of each component of the rock minerals, the resistivity curve and the acoustic velocity curve of the target layer section of the shale oil layer are obtained.

[0059] S12. Determine the correlation between the rock minerals of the target layer section of the shale oil layer and the resistivity and the acoustic wave velocity according to the composition of the rock minerals of the target layer section of the shale oil layer, the content of each component of the rock minerals, the resistivity curve and the acoustic wave velocity curve, wherein the rock mineral composition includes clay, dolomite and quartz.

[0060] like Figure 2 As shown, for example, a first two-dimensional coordinate system is established, the X-axis of the first two-dimensional coordinate system represents the dolomite content in the rock mineral, the Y-axis of the first two-dimensional coordinate system represents the resistivity, and the resistivities corresponding to different dolomite contents are represented by multiple points on the first two-dimensional coordinate system, and straight lines are fitted to the multiple points on the first two-dimensional coordinate system, and it is determined based on the fitted straight line that the dolomite content is positively correlated with the resistivity.

[0061] like Figure 3 As shown, for example, a second two-dimensional coordinate system is established, the X-axis of the second two-dimensional coordinate system represents the clay content in the rock mineral, the Y-axis of the second two-dimensional coordinate system represents the resistivity, and the resistivities corresponding to different clay contents are represented by multiple points on the second two-dimensional coordinate system, and straight lines are fitted to the multiple points on the second two-dimensional coordinate system, and the negative correlation between the clay content and the resistivity is determined based on the fitted straight line.

[0062] like Figure 4As shown, for example, a third two-dimensional coordinate system is established, the X-axis of the third two-dimensional coordinate system represents the dolomite content in the rock mineral, the Y-axis of the third two-dimensional coordinate system represents the longitudinal wave velocity, and the longitudinal wave velocities corresponding to different dolomite contents are represented by multiple points on the third two-dimensional coordinate system, and straight lines are fitted to the multiple points on the third two-dimensional coordinate system, and it is determined based on the fitted straight line that the dolomite content is positively correlated with the sound wave velocity.

[0063] like Figure 5 As shown, for example, a fourth two-dimensional coordinate system is established, the X-axis of the fourth two-dimensional coordinate system represents the clay content in the rock mineral, the Y-axis of the fourth two-dimensional coordinate system represents the longitudinal wave velocity, and the longitudinal wave velocities corresponding to different clay contents are represented by multiple points on the fourth two-dimensional coordinate system, and straight lines are fitted to the multiple points on the fourth two-dimensional coordinate system, and it is determined based on the fitted straight line that the clay content is negatively correlated with the sound wave velocity.

[0064] S2. Based on the correlation between rock minerals and resistivity and acoustic wave velocity, a resistivity correction model based on lithology is established, including: determining the resistivity correction model based on lithology according to the measured resistivity, measured acoustic wave velocity and base value of acoustic wave velocity, as follows:

[0065]

[0066] Where: RT 校正 is the corrected resistivity of the target layer, RT is the measured resistivity of the target layer. α, β are correction coefficients; v p is the measured acoustic wave velocity of the target layer, ft / us; b is the base value of the acoustic wave velocity.

[0067] In this step, after clarifying the correlation between rock minerals and resistivity and acoustic wave velocity, it is confirmed that the content of clay and dolomite in rock minerals has an impact on resistivity. Therefore, directly using the measured resistivity to calculate the TOC content will lead to inaccuracy. It is necessary to establish a resistivity correction model based on lithology and obtain a resistivity curve corrected by acoustic waves.

[0068] S3. According to the lithology-based resistivity correction model, an improved ΔLogR TOC calculation model is established, including: according to the lithology-based resistivity correction model, the resistivity logging value corresponding to the non-source rock layer, the acoustic time difference, and the acoustic logging value corresponding to the non-source rock layer, the improved ΔLogR TOC calculation model is determined as follows:

[0069]

[0070] Wherein, Δlog R represents the numerical representation of the distance between resistivity and porosity curves; it is dimensionless; RT represents the measured resistivity of the target layer. Δt represents the acoustic time difference of the target layer, us / ft; Δt 基线 Indicates the acoustic logging value corresponding to the non-source rock layer, us / ft; RT 基线 Indicates the resistivity logging value corresponding to the non-source rock layer. ε represents the scale factor, which is the coefficient of one unit of acoustic wave time difference Δt relative to one unit of logarithmic coordinates of resistivity.

[0071] S4. According to the improved ΔLogR TOC calculation model, the TOC content of the target layer of the shale oil layer is determined to achieve quantitative evaluation of TOC in the target layer, as follows:

[0072] TOC=(ΔlogR)×10 2.297-0.1688×LOM (3)

[0073] Wherein, TOC represents the total organic carbon content, weight percentage, %; ΔlogR, dimensionless; LOM is a parameter related to the maturity of organic matter, dimensionless.

[0074] Taking a shale oil well as an example, the technical solution of the present invention is explained. On the basis of clarifying the influence of the main mineral content on the resistivity and the acoustic wave velocity, a resistivity correction model is established, as shown in formula (2). The resistivity curve corrected by acoustic wave is obtained, as shown in Figure 6 As shown in lane 6.

[0075] The TOC calculation result is obtained by using formula (3), as follows: Figure 6 As shown in lane 8. Figure 6 Track 7 is the TOC calculated by the original method. It can be seen that due to the influence of lithology, the TOC value calculated by the original method in the layer section with high resistivity value of 4804-4810m is obviously too large, while the TOC value (track 8) calculated by the technology of the present invention has a consistency rate of more than 95%.

[0076] Based on the above-mentioned shale oil layer TOC calculation method based on resistivity correction, as Figure 7 As shown, the present invention also provides a shale oil layer TOC calculation system based on resistivity correction, including a first calculation module, a first model building module, a second model building module and a second calculation module.

[0077] Among them, the first calculation module is used to determine the correlation between rock minerals and resistivity, acoustic wave velocity in the target layer of the shale oil layer; the first model establishment module is used to establish a lithology-based resistivity correction model based on the correlation between rock minerals and resistivity, acoustic wave velocity; the second model establishment module is used to establish an improved ΔLogR TOC calculation model based on the lithology-based resistivity correction model; the second calculation module is used to determine the TOC content of the target layer of the shale oil layer based on the improved ΔLogR TOC calculation model.

[0078] The present invention establishes a resistivity correction model based on lithology to eliminate the influence of complex lithology on the well logging curve, and improves the TOC calculation accuracy from 50% to more than 95%, which can meet the needs of shale oil layer source rock evaluation. Compared with the prior art, the technology of the present invention does not need to add new well logging curves, and can be realized by using conventional well logging curves, which is easy to operate and has high accuracy.

[0079] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for calculating TOC of shale oil layers based on resistivity correction, characterized in that: The following steps are involved: Determine the correlation between rock minerals and resistivity and acoustic velocity in the target interval of shale oil layer; Based on the correlation between rock minerals and resistivity and acoustic wave velocity, a resistivity correction model based on lithology is established; According to the resistivity correction model based on lithology, an improved ΔLogR TOC calculation model is established; According to the improved ΔLogR TOC calculation model, the TOC content of the target layer of the shale oil layer is determined.

2. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 1, characterized in that: Determining the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of the shale oil layer includes the following steps: Based on the whole rock analysis and acoustic-electric joint measurement experiment of the target layer of the shale oil layer, the composition of the rock minerals, the content of each component of the rock minerals, the resistivity curve and the acoustic velocity curve of the target layer of the shale oil layer are obtained; According to the composition of rock minerals in the target layer of the shale oil layer, the content of each component of rock minerals, resistivity curve and acoustic wave velocity curve, the correlation between the rock minerals in the target layer of the shale oil layer and the resistivity and acoustic wave velocity is determined, wherein the rock mineral composition includes clay, dolomite and quartz.

3. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 2, characterized in that: Determining the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of the shale oil layer includes the following steps: A first two-dimensional coordinate system is established, wherein the X-axis of the first two-dimensional coordinate system represents the dolomite content in the rock minerals, and the Y-axis of the first two-dimensional coordinate system represents the resistivity. A plurality of points on the first two-dimensional coordinate system are used to respectively represent the resistivity corresponding to different dolomite contents. Straight lines are fitted to the plurality of points on the first two-dimensional coordinate system, and it is determined based on the fitted straight line that the dolomite content is positively correlated with the resistivity.

4. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 2, characterized in that: Determining the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of the shale oil layer also includes the following steps: A second two-dimensional coordinate system is established, wherein the X-axis of the second two-dimensional coordinate system represents the clay content in the rock minerals, and the Y-axis of the second two-dimensional coordinate system represents the resistivity. A plurality of points on the second two-dimensional coordinate system are used to represent the resistivity corresponding to different clay contents, and a straight line is fitted to the plurality of points on the second two-dimensional coordinate system. According to the fitted straight line, it is determined that the clay content is negatively correlated with the resistivity.

5. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 2, characterized in that: Determining the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of the shale oil layer also includes the following steps: A third two-dimensional coordinate system is established, wherein the X-axis of the third two-dimensional coordinate system represents the dolomite content in rock minerals, and the Y-axis of the third two-dimensional coordinate system represents the longitudinal wave velocity. A plurality of points on the third two-dimensional coordinate system are respectively used to represent the longitudinal wave velocities corresponding to different dolomite contents. A straight line is fitted to the plurality of points on the third two-dimensional coordinate system, and it is determined based on the fitted straight line that the dolomite content is positively correlated with the acoustic wave velocity.

6. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 2, characterized in that: Determining the correlation between rock minerals and resistivity and acoustic wave velocity in the target layer of the shale oil layer also includes the following steps: A fourth two-dimensional coordinate system is established, wherein the X-axis of the fourth two-dimensional coordinate system represents the clay content in the rock minerals, and the Y-axis of the fourth two-dimensional coordinate system represents the longitudinal wave velocity. A plurality of points on the fourth two-dimensional coordinate system are respectively used to represent the longitudinal wave velocities corresponding to different clay contents. Straight lines are fitted to the plurality of points on the fourth two-dimensional coordinate system, and it is determined based on the fitted straight line that the clay content is negatively correlated with the sound wave velocity.

7. The method for calculating TOC of shale oil layers based on resistivity correction according to any one of claims 1 to 6, characterized in that: Based on the correlation between rock minerals and resistivity and acoustic wave velocity, a resistivity correction model based on lithology is established, including the following steps: According to the measured resistivity, measured acoustic wave velocity and base value of acoustic wave velocity, a resistivity correction model based on lithology is determined.

8. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 7, characterized in that: The resistivity correction model based on lithology is as follows: Where: RT 校正 is the corrected resistivity of the target layer, Ω.m; RT is the measured resistivity of the target layer, Ω.m; α and β are correction coefficients; v p is the measured acoustic wave velocity of the target layer, ft / us; b is the base value of the acoustic wave velocity.

9. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 8, characterized in that: According to the lithology-based resistivity correction model, an improved ΔLogR TOC calculation model is established, including the following steps: The improved ΔLogR TOC calculation model is determined according to the resistivity correction model based on lithology, the resistivity logging values ​​corresponding to the non-source rock interval, the acoustic time difference and the acoustic logging values ​​corresponding to the non-source rock interval.

10. The method for calculating TOC of shale oil layers based on resistivity correction according to claim 9, characterized in that: The improved ΔLogR TOC calculation model is established as follows: Wherein, ΔlogR represents the numerical value of the distance between resistivity and porosity curves; dimensionless; RT represents the measured resistivity of the target layer, Ω.m; Δt represents the acoustic time difference of the target layer, us / ft; Δt 基线 Indicates the acoustic logging value corresponding to the non-source rock layer, us / ft; RT 基线 Indicates the resistivity logging value corresponding to the non-source rock layer, Ω.m; ε represents the scale factor, which is the coefficient of one unit of acoustic wave time difference Δt relative to one unit of logarithmic coordinates of resistivity.

11. A shale oil layer TOC calculation system based on resistivity correction, characterized in that: include: The first calculation module is used to determine the correlation between the rock minerals and the resistivity and the acoustic wave velocity of the target layer section of the shale oil layer; The first model building module is used to build a resistivity correction model based on lithology based on the correlation between rock minerals and resistivity and acoustic wave velocity; The second model building module is used to build an improved ΔLogR TOC calculation model based on the resistivity correction model based on lithology; The second calculation module is used to determine the TOC content of the target layer section of the shale oil layer according to the improved ΔLogR TOC calculation model.

12. The shale oil layer TOC calculation system based on resistivity correction according to claim 11, characterized in that: The first computing module is specifically used for: Based on the whole rock analysis and acoustic-electric joint measurement experiment of the target layer of the shale oil layer, the composition of the rock minerals, the content of each component of the rock minerals, the resistivity curve and the acoustic velocity curve of the target layer of the shale oil layer are obtained; According to the composition of rock minerals in the target layer of the shale oil layer, the content of each component of rock minerals, resistivity curve and acoustic wave velocity curve, the correlation between the rock minerals in the target layer of the shale oil layer and the resistivity and acoustic wave velocity is determined, wherein the rock mineral composition includes clay, dolomite and quartz.

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