Method and device for predicting single well logging data of target well in combination with improved top surface method
By combining the reference well logging data and the normal compaction trend line data set in the top table method, the logging data of the target well is predicted, which solves the problem of inaccuracy in data extrapolation and interpolation of the existing top table method and achieves a more accurate Accurate target well single well logging data prediction.
Patent Information
- Application Number
- CN202310882103.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-18
- Publication Date
- 2025-01-21
AI Technical Summary
During the extrapolation of data from the reference well to the target well, the existing top table method only interpolates the logging data at the depth point of the reference well, resulting in the inaccurate results of the extrapolated acoustic data and even exceeds the physical allowable range.
By establishing the top table, import the reference well log data and normal compaction trend line data sets, and combine these data sets to predict the log data, including sonic data and resistivity data, for each depth point on the planned trajectory of the target well.
It effectively solves the problem of inaccurate extrapolated acoustic data results, ensures the accuracy of extrapolated acoustic logging data, and is suitable for target wells and reference wells with large formation fluctuations.
Smart Images
Figure CN119333100A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of well logging, in particular to a method and a device for predicting well logging data of a target well combined with an improved top table method. Background Art
[0002] In practice, there are usually gamma-ray logging data, acoustic data, resistivity and other logging data at the location of the well trajectory of the reference well. When predicting the pore pressure at the location of the target well that has not yet been drilled, it is necessary to extrapolate the gamma-ray and other logging data from the well location of the reference well to the location of the well trajectory of the target well, and then calculate the pore pressure.
[0003] The commonly used method is the top table method, which is a common extrapolation interpolation method used when using the logging data of the reference well to calculate the pore pressure of the target well. It is used to extrapolate the logging data from the reference well position to the target well position. When using the top table method to extrapolate the data from the reference well to the target well, only the logging data at the depth point of the reference well is interpolated, and other parameters such as the compaction trend curve are not involved in the interpolation calculation, which results in inaccurate extrapolated well acoustic wave data results at the target well position, sometimes even beyond the physically allowed range. Summary of the invention
[0004] The present invention provides a method and device for predicting well logging data of a single well of a target well combined with an improved top table method, which overcomes the shortcomings of the above-mentioned prior art and can effectively solve the problem that the existing top table method is used to interpolate only the logging data at the depth point of the reference well, which easily leads to inaccurate extrapolated well acoustic wave data results.
[0005] One of the technical solutions of the present invention is achieved by the following measures: a method for predicting single well logging data of a target well combined with an improved top table method, comprising:
[0006] Establish a top table based on the stratigraphic horizons and stratigraphic top depths of the reference well and the target well;
[0007] Import reference well logging data and normal compaction trend line data sets;
[0008] The top table, reference well logging data, and normal compaction trend line data sets are combined to predict the logging data for each depth point on the target well plan trajectory.
[0009] The following are further optimizations and / or improvements to the above technical solutions:
[0010] The above combines the top table, reference well logging data and normal compaction trend line data set to predict the logging data for each depth point on the target well plan trajectory, including:
[0011] Based on the normal compaction trend line data set and the reference well logging data, the sonic logging data of each depth point on the reference well trajectory is extracted;
[0012] Determine the C value of each depth point on the reference well trajectory using the sonic logging data of each depth point on the reference well trajectory and the top depth value of each formation of the reference well in the top table;
[0013]
[0014] Among them, TVD p0 and TVD p1 are the top depth values of the formation at the previous depth point and the previous depth point of the current depth point of the reference well, respectively; d tc0 and d tc1 They are the acoustic logging data of the previous depth point and the previous depth point of the current depth point on the reference well trajectory;
[0015] The logging data of each depth point on the planned trajectory of the target well is predicted by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table.
[0016] The above uses the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table to predict the logging data of each depth point on the target well plan trajectory, including:
[0017] Using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table, determine the resistivity data of each depth point in the target well plan trajectory;
[0018] R t =e (TVD1-TVD0) / C
[0019] Among them, R t is the resistivity data of a certain depth point in the target well plan trajectory; TVD1 and TVD0 are the formation top depth values of the previous depth point and the previous depth point before the target well respectively; C is the C value of the current depth point in the reference well trajectory;
[0020] Determine the acoustic wave data of each depth point on the target well plan trajectory based on the resistivity logging data of each depth point in the target well plan trajectory;
[0021] d' tc1 =d' tc0 R t
[0022] Among them, R t The resistivity data of a certain depth point in the target well planning trajectory; d' tc1 The acoustic wave data of a certain depth point in the target well planning trajectory, d'tc0 for d' tc1 The sound wave data of the previous depth point.
[0023] The reference well trajectory and the target well planned trajectory have the same number of depth points.
[0024] The top depth values of each formation of the target well in the above top table are different from the top depth values of each formation of the reference well, and the order is the same.
[0025] The second technical solution of the present invention is achieved by the following measures: a target well single well logging data prediction device combined with an improved top table method, comprising:
[0026] A table building unit builds a top table according to the stratigraphic layers and stratigraphic top depths of the reference well and the target well, wherein the top table includes the stratigraphic top depth values of each stratigraphic layer in the reference well and the target well;
[0027] Import the unit, import the reference well logging data and the normal compaction trend line data set;
[0028] The prediction unit, combined with the top table, reference well logging data and normal compaction trend line data set, predicts the logging data of each depth point on the planned trajectory of the target well.
[0029] The following are further optimizations and / or improvements to the above technical solutions:
[0030] The above prediction unit includes:
[0031] A data extraction unit, which extracts the acoustic logging data of each depth point on the reference well trajectory based on the normal compaction trend line data set and the reference well logging data;
[0032] The first processing module determines the C value of each depth point on the reference well trajectory using the acoustic logging data of each depth point on the reference well trajectory and the top depth value of each formation of the reference well in the top table;
[0033]
[0034] Among them, TVD p0 and TVD p1 are the top depth values of the formation at the previous depth point and the previous depth point of the current depth point of the reference well, respectively; d tc0 and d tc1 They are the acoustic logging data of the previous depth point and the previous depth point of the current depth point on the reference well trajectory;
[0035] The second processing module predicts the logging data of each depth point on the planned trajectory of the target well by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table.
[0036] The second processing module includes:
[0037] The resistivity determination module determines the resistivity data of each depth point in the target well plan trajectory by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table;
[0038] R t =e (TVD1-TVD0) / C
[0039] Among them, R t is the resistivity data of a certain depth point in the target well plan trajectory; TVD1 and TVD0 are the formation top depth values of the previous depth point and the previous depth point before the target well respectively; C is the C value of the current depth point in the reference well trajectory;
[0040] A logging data determination module determines the acoustic wave data of each depth point on the target well plan trajectory based on the resistivity logging data of each depth point in the target well plan trajectory;
[0041] d' tc1 =d' tc0 R t
[0042] Among them, R t The resistivity data of a certain depth point in the target well planning trajectory; d' tc1 The acoustic wave data of a certain depth point in the target well planning trajectory, d' tc0 for d' tc1 The sound wave data of the previous depth point.
[0043] The present invention solves the problem that in the existing process of using the conventional top table method to realize data extrapolation and interpolation from a reference well to a target well, only the logging data at the depth point of the reference well is interpolated, and other items such as parameter items of the compaction trend curve are not involved in the interpolation calculation, thereby causing the extrapolated acoustic logging data results on the target well plan trajectory to be inaccurate and sometimes exceed the physically allowed range. The present invention simultaneously imports the reference well logging data and the normal compaction trend line data set, and uses the reference well logging data and the normal compaction trend line data set to perform interpolation calculations together to obtain the extrapolated acoustic logging data on the target well plan trajectory. The present invention can be effectively applied to target wells and reference wells with large formation fluctuations, and can ensure the accuracy of the extrapolated acoustic logging data. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Attached Figure 1 The present invention is a flow chart of a method.
[0045] Attached Figure 2 The present invention is another method flow chart.
[0046] Attached Figure 3 This is a schematic diagram of the extrapolation result curve of Example 4 of the present invention.
[0047] Attached Figure 4 This is a schematic diagram of the extrapolated resistivity curve of Example 4 of the present invention.
[0048] Attached Figure 5 The figure is a schematic diagram of the structure of a device of the present invention.
[0049] Attached Figure 6 This is a schematic diagram of another device structure of the present invention. DETAILED DESCRIPTION
[0050] The present invention is not limited by the following embodiments, and specific implementation methods can be determined based on the technical solution of the present invention and actual conditions.
[0051] The present invention will be further described below in conjunction with embodiments and drawings:
[0052] Embodiment 1: As attached Figure 1 As shown, the embodiment of the present invention discloses a method for predicting well logging data of a target well in combination with an improved top table method, comprising:
[0053] Step S110, establishing a top table according to the stratigraphic levels and stratigraphic top depths of the reference well and the target well;
[0054] Step S120, importing reference well logging data and normal compaction trend line data set;
[0055] Step S130 , combining the top table, the reference well logging data and the normal compaction trend line data set, predicting the logging data of each depth point on the target well plan trajectory.
[0056] The embodiment of the present invention discloses a method for predicting well logging data of a single target well in combination with an improved top table method, which solves the problem that in the existing process of using the conventional top table method to realize data extrapolation and interpolation from a reference well to a target well, only the logging data at the depth point of the reference well is interpolated, and other items such as parameter items of a compaction trend curve are not involved in the interpolation calculation, thereby causing the extrapolated acoustic logging data results on the target well plan trajectory to be inaccurate and sometimes exceed the physically allowed range. The present embodiment simultaneously imports the reference well logging data and the normal compaction trend line data set, and uses the reference well logging data and the normal compaction trend line data set to perform interpolation calculations together to obtain the extrapolated acoustic logging data on the target well plan trajectory, which can be effectively applied to target wells and reference wells with large formation fluctuations, and can ensure the accuracy of the extrapolated acoustic logging data.
[0057] Embodiment 2: As attached Figure 2As shown, the embodiment of the present invention discloses a method for predicting well logging data of a target well in combination with an improved top table method, comprising:
[0058] Step S210, establishing a top table according to the stratigraphic levels and stratigraphic top depths of the reference well and the target well.
[0059] In the above step S210, establishing the top table specifically includes:
[0060] (1) Obtaining the top depth data of each formation in the reference well;
[0061] (2) obtaining formation top depth data of each formation in a target well, wherein the target well may be one or more;
[0062] (3) Tabulations are made based on the strata of the reference well, target well and their corresponding multiple groups of stratum top depth data as horizontal titles and column titles respectively.
[0063] Step S220, importing reference well logging data and normal compaction trend line data set.
[0064] The reference well logging data and normal compaction trend line data set imported in the above steps are obtained and constructed from the historical logging data of the reference well, wherein the reference well logging data includes but is not limited to sonic logging data, resistivity logging data, etc.
[0065] Step S230, based on the normal compaction trend line data set and the reference well logging data, extract the acoustic logging data of each depth point on the reference well trajectory.
[0066] Step S240, using the acoustic logging data of each depth point on the reference well trajectory and the top depth value of each formation of the reference well in the top table, determine the C value of each depth point on the reference well trajectory;
[0067]
[0068] Among them, TVD p0 and TVD p1 are the top depth values of the formation at the previous depth point and the previous depth point of the current depth point respectively; d tc0 and d tc1 They are the acoustic logging data of the previous depth point and the previous depth point before the current depth point respectively.
[0069] Step S250, using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table, determine the resistivity data of each depth point in the target well plan trajectory;
[0070] R t =e (TVD1-TVD0) / C
[0071] Among them, R t is the resistivity data of a certain depth point in the target well plan trajectory; TVD1 and TVD0 are the formation top depth values of the previous depth point and the previous depth point before the target well respectively; C is the C value of the current depth point in the reference well trajectory;
[0072] Step S260, determining the acoustic wave data of each depth point on the planned trajectory of the target well based on the resistivity logging data of each depth point in the planned trajectory of the target well;
[0073] d' tc1 =d' tc0 R t
[0074] Among them, R t The resistivity data of a certain depth point in the target well planning trajectory; d' tc1 The acoustic wave data of a certain depth point in the target well planning trajectory, d' tc0 for d' tc1 The sound wave data of the previous depth point.
[0075] It should also be noted that in the above steps S210 to S260, the reference well trajectory and the target well planned trajectory have the same number of depth points, the depth values of the top of each formation of the target well in the table are different from the depth values of the top of each formation of the reference well, and the order is the same. For example, point N on the target well trajectory has the same acoustic logging data value as point N on the reference well trajectory, but the two points have a TVD difference.
[0076] In summary, steps S210 to S260 implement extrapolation and interpolation calculation based on the improved top table method, combined with the reference well logging data and the normal compaction trend line data set, to obtain the acoustic logging data of each depth point on the target well plan trajectory, and map / project / transmit the logging data from the depth point on the reference well trajectory to the depth point position of the target well plan trajectory, so as to achieve accurate prediction of the single well logging data of the target well.
[0077] Example 3: In this example, there are 3 wells and 4 different formations. The 3 wells include a reference well, a target well-1, and a target well-2. The methods disclosed in Examples 1 and 2 are used to obtain the acoustic logging data of each depth point on the target well plan trajectory, and the logging data is mapped / projected / transmitted from the depth point on the reference well trajectory to the depth point position of the target well plan trajectory, specifically including:
[0078] (1) Establish a top table based on the stratigraphic positions and stratigraphic top depths of the reference well and target well.
[0079] Table 1 Top depth values of stratigraphic horizons in each well.
[0080]
[0081]
[0082] (2) The result curves obtained by extrapolating the logging data of the reference well onto the planned trajectory of the target well using the target well single well logging data prediction method combined with the improved top table method disclosed in the present invention and the conventional top table method are shown in the attached figure. Figure 3 As shown, specifically:
[0083] In the third column from the left, i.e., column 3, the blue curve shows the reference acoustic wave data transmitted to the target well using the traditional top table method, and the red curve shows the reference acoustic wave data of the present invention. The synthetic curves of the two acoustic wave data were compared, and the results showed that the data of the red curve was less than its original value in the upper part of the well length, and the data of the red curve was greater than its original value in the lower part of the well length. This is reasonable and consistent with the normal trend of the deposition history. It can be seen that the result data obtained by the present invention is more accurate than the results obtained by the conventional method.
[0084] In the left column -1, there are gamma-ray logging data. Since the values of gamma-ray logging data are independent of effective stress, they can be transferred using the conventional top table method.
[0085] In the left column-2, three groups of data curves are displayed: the blue curve is the original acoustic wave data of the reference well, the red curve is the reference acoustic wave data transmitted to the target-1 well by the present invention, and the green curve is the reference acoustic wave data transmitted to the target-2 well by the present invention.
[0086] In the left column-3, the blue curve shows the reference acoustic wave data transmitted to the target 1 well position using the traditional top table method, and the red curve shows the reference acoustic wave data obtained using the present invention.
[0087] In the left column-4, the blue curve shows the reference acoustic wave data transmitted to the target-2 well position by the conventional top table method. The green curve shows the reference acoustic wave data obtained by the present invention.
[0088] Comparison of the three sets of curves shown in column 2 from the left shows that at the same TVD value, the obtained curves transmitted by the present invention are close to each other. This again demonstrates the accuracy and efficiency of the proposed method.
[0089] (3) Attachment Figure 4 The resistivity data curve corresponding to the target well planning trajectory obtained by using the present invention.
[0090] Embodiment 4: As attached Figure 5 As shown, the embodiment of the present invention discloses a target well single well logging data prediction device combined with an improved top table method, comprising:
[0091] A table building unit builds a top table according to the stratigraphic layers and stratigraphic top depths of the reference well and the target well, wherein the top table includes the stratigraphic top depth values of each stratigraphic layer in the reference well and the target well;
[0092] Import the unit, import the reference well logging data and the normal compaction trend line data set;
[0093] The prediction unit, combined with the top table, reference well logging data and normal compaction trend line data set, predicts the logging data of each depth point on the planned trajectory of the target well.
[0094] Embodiment 5: As attached Figure 6 As shown, the embodiment of the present invention discloses a target well single well logging data prediction device combined with an improved top table method, comprising:
[0095] A table building unit builds a top table according to the stratigraphic layers and stratigraphic top depths of the reference well and the target well, wherein the top table includes the stratigraphic top depth values of each stratigraphic layer in the reference well and the target well;
[0096] Import the unit, import the reference well logging data and the normal compaction trend line data set;
[0097] Prediction unit, including:
[0098] A data extraction unit, which extracts the acoustic logging data of each depth point on the reference well trajectory based on the normal compaction trend line data set and the reference well logging data;
[0099] The first processing module determines the C value of each depth point on the reference well trajectory using the acoustic logging data of each depth point on the reference well trajectory and the top depth value of each formation of the reference well in the top table;
[0100]
[0101] Among them, TVD p0 and TVD p1 are the top depth values of the formation at the previous depth point and the previous depth point of the current depth point of the reference well, respectively; d tc0 and d tc1 They are the acoustic logging data of the previous depth point and the previous depth point of the current depth point on the reference well trajectory;
[0102] The second processing module predicts the logging data of each depth point on the planned trajectory of the target well by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table.
[0103] The second processing module includes:
[0104] The resistivity determination module determines the resistivity data of each depth point in the target well plan trajectory by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table;
[0105] R t =e (TVD1-TVD0) / C
[0106] Among them, R t is the resistivity data of a certain depth point in the target well plan trajectory; TVD1 and TVD0 are the formation top depth values of the previous depth point and the previous depth point before the target well respectively; C is the C value of the current depth point in the reference well trajectory;
[0107] A logging data determination module determines the acoustic wave data of each depth point on the target well plan trajectory based on the resistivity logging data of each depth point in the target well plan trajectory;
[0108] d' tc1 =d' tc0 R t
[0109] Among them, R t The resistivity data of a certain depth point in the target well planning trajectory; d' tc1 The acoustic wave data of a certain depth point in the target well planning trajectory, d' tc0 for d' tc1 The sound wave data of the previous depth point.
[0110] Embodiment 5: The embodiment of the present invention discloses a storage medium, on which a computer program readable by a computer is stored, and the computer program is configured to execute a method for predicting target well single well logging data combined with an improved top table method when running.
[0111] The above storage medium may include, but is not limited to: a USB flash drive, a read-only memory, a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.
[0112] Embodiment 6: The embodiment of the present invention discloses an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement a method for predicting target well single well logging data combined with an improved top table method.
[0113] The processor may be a central processing unit (CPU), a general purpose processor, a digital signal processor (DSP), an ASIC, an FPGA or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. It may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The memory may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory, a mobile hard disk, a magnetic disk or an optical disk.
[0114] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.
[0115] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0116] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0117] The above technical features constitute the best embodiment of the present invention, which has strong adaptability and best implementation effect. Non-essential technical features can be added or reduced according to actual needs to meet the requirements of different situations.
Claims
1. A method for predicting target well single well logging data combined with an improved top table method, characterized in that: include: Establish a top table based on the stratigraphic horizons and stratigraphic top depths of the reference well and the target well; Import reference well logging data and normal compaction trend line data sets; The top table, reference well logging data, and normal compaction trend line data sets are combined to predict the logging data for each depth point on the target well plan trajectory.
2. The method for predicting target well single well logging data combined with the improved top table method according to claim 1, characterized in that: The above method combines the top table, the reference well logging data and the normal compaction trend line data set to predict the logging data of each depth point on the target well plan trajectory, including: Based on the normal compaction trend line data set and the reference well logging data, the sonic logging data of each depth point on the reference well trajectory is extracted; Determine the C value of each depth point on the reference well trajectory using the sonic logging data of each depth point on the reference well trajectory and the top depth value of each formation of the reference well in the top table; Among them, TVD p0 and TVD p1 are the top depth values of the formation at the previous depth point and the previous depth point of the current depth point of the reference well, respectively; d tc0 and d tc1 They are the acoustic logging data of the previous depth point and the previous depth point of the current depth point on the reference well trajectory; The logging data of each depth point on the planned trajectory of the target well is predicted by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table.
3. The method for predicting target well single well logging data combined with the improved top table method according to claim 2, characterized in that: The method of predicting the well logging data of each depth point on the planned trajectory of the target well by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table includes: Using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table, determine the resistivity data of each depth point in the target well plan trajectory; R t =e (TVD1-TVD0) / C Among them, R t is the resistivity data of a certain depth point in the target well plan trajectory; TVD1 and TVD0 are the formation top depth values of the previous depth point and the previous depth point before the target well respectively; C is the C value of the current depth point in the reference well trajectory; Determine the acoustic wave data of each depth point on the target well plan trajectory based on the resistivity logging data of each depth point in the target well plan trajectory; d‘ tc1 =d‘ tc0 R t Among them, R t The resistivity data of a certain depth point in the target well planning trajectory; d' tc1 The acoustic wave data of a certain depth point in the target well planning trajectory, d' tc0 for d' tc1 The sound wave data of the previous depth point.
4. The method for predicting target well single well logging data combined with the improved top table method according to claim 1, 2 or 3, characterized in that: The reference well trajectory and the target well planned trajectory have the same number of depth points.
5. The method for predicting target well single well logging data combined with the improved top table method according to any one of claims 1 to 4, characterized in that: The top depth values of each formation of the target well in the top table are different from the top depth values of each formation of the reference well, and have the same order.
6. A target well single well logging data prediction device using the method as claimed in any one of claims 1 to 5 combined with an improved top table method, characterized in that: include: A table building unit builds a top table according to the stratigraphic layers and stratigraphic top depths of the reference well and the target well, wherein the top table includes the stratigraphic top depth values of each stratigraphic layer in the reference well and the target well; Import the unit, import the reference well logging data and the normal compaction trend line data set; The prediction unit, combined with the top table, reference well logging data and normal compaction trend line data set, predicts the logging data of each depth point on the planned trajectory of the target well.
7. The target well single well logging data prediction device combined with the improved top table method according to claim 6 is characterized in that: The prediction unit comprises: A data extraction unit, which extracts the acoustic logging data of each depth point on the reference well trajectory based on the normal compaction trend line data set and the reference well logging data; The first processing module determines the C value of each depth point on the reference well trajectory using the acoustic logging data of each depth point on the reference well trajectory and the top depth value of each formation of the reference well in the top table; Among them, TVD p0 and TVD p1 are the top depth values of the formation at the previous depth point and the previous depth point of the current depth point of the reference well, respectively; d tc0 and d tc1 They are the acoustic logging data of the previous depth point and the previous depth point of the current depth point on the reference well trajectory; The second processing module predicts the logging data of each depth point on the planned trajectory of the target well by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table.
8. The target well single well logging data prediction device combined with the improved top table method according to claim 7 is characterized in that: The second processing module comprises: The resistivity determination module determines the resistivity data of each depth point in the target well plan trajectory by using the C value of each depth point on the reference well trajectory and the top depth value of each formation of the target well in the top table; R t =e (TVD1-TVD0) / C Among them, R t is the resistivity data of a certain depth point in the target well plan trajectory; TVD1 and TVD0 are the formation top depth values of the previous depth point and the previous depth point of the target well respectively; C is the C value of the current depth point in the reference well trajectory; A logging data determination module determines the acoustic wave data of each depth point on the target well plan trajectory based on the resistivity logging data of each depth point in the target well plan trajectory; d ‘ tc1 =d ‘ tc0 R t Among them, R t The resistivity data of a certain depth point in the target well planning trajectory; d ‘ tc1 The acoustic wave data of a certain depth point in the target well plan trajectory, d ‘ tc0 is d ‘ tc1 The sound wave data of the previous depth point.
9. A storage medium, characterized in that: The storage medium stores a computer program that can be read by a computer, and the computer program is configured to execute the method for predicting target well single well logging data combined with the improved top table method as described in any one of claims 1 to 5 when running.
10. An electronic device, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the method for predicting target well single well logging data combined with the improved top table method as described in any one of claims 1 to 5.