Method, device, equipment, medium and product for predicting depth of undrilled formation

Abstract

The present invention discloses a method, device, equipment, medium and product for predicting the depth of an undrilled formation. The method comprises: determining the relative positional relationship between drilled and undrilled wells in a target area, as well as the time-depth relationship of the drilled wells, and determining the drilling layer between the drilled and undrilled wells; sequentially taking the drilling layer between the drilled and undrilled wells as the target layer, and taking the one-way travel time of the undrilled well matching the target layer as the target time; determining first velocity data and second velocity data based on the time-depth relationship of the drilled wells, and determining the prediction result of the undrilled formation depth based on the first velocity data and the second velocity data. This technical solution solves the problem of poor reliability in predicting the depth of an undrilled formation, and determines the prediction result of the undrilled formation depth based on the velocity values ​​of two special points in the drilled well velocity curve. While accurately predicting the depth of the undrilled formation, it simplifies the prediction process and reduces the prediction cost.

Description

Technical Field

[0001] The present invention relates to the field of geophysical technology, and in particular to a method, device, equipment, medium and product for predicting the depth of an undrilled formation. Background Art

[0002] At present, there are two main methods for predicting the depth of undrilled formations: (1) starting from the drilled wells, based on the drilled well velocity, without considering the changes in the underground formation structure, the formation depth of unknown well points is estimated according to the principle of equal time and equal depth, which is the constant speed mapping method; (2) starting from the seismic processing velocity, considering the well velocity constraints, and even considering the layer and fault constraints, to establish an accurate velocity field, and then based on the established velocity model, carry out variable speed mapping and time-depth conversion to estimate the formation depth of unknown well points, which is the variable speed mapping method.

[0003] The advantages of the constant-speed mapping method lie in its fast prediction speed and high efficiency. However, because it fails to account for subsurface structural fluctuations and variations, prediction errors are often large. The advantage of the variable-speed mapping method lies in its comprehensive consideration of seismic, well logging, and geological constraints, typically resulting in a relatively accurate velocity field and, in turn, a relatively accurate depth prediction. However, the velocity modeling process is complex, time-consuming, and inefficient, failing to meet the requirements of efficient and rapid drilling. Furthermore, the uncertainty of the input seismic processing speed also affects the reliability of the velocity modeling, ultimately leading to uncertainty in the prediction of undrilled formation depths. Summary of the Invention

[0004] The present invention provides a method, device, equipment, medium and product for predicting the depth of undrilled formations to solve the problem of poor reliability in predicting the depth of undrilled formations. The method determines the predicted result of the depth of undrilled formations based on the velocity values ​​of two special points in the velocity curve of the drilled well. While accurately predicting the depth of the undrilled formations, it greatly simplifies the prediction process and reduces the prediction cost.

[0005] According to one aspect of the present invention, a method for predicting the depth of an undrilled formation is provided, the method comprising:

[0006] Determine the relative positional relationship of drilled and undrilled wells within the target area, as well as the time-depth relationship of drilled wells within the target area, and determine the drilling horizons between drilled and undrilled wells;

[0007] The drilling horizon between the drilled well and the undrilled well is sequentially taken as the target horizon, and the one-way travel time of the undrilled well matching the target horizon is taken as the target time;

[0008] Determining first velocity data and second velocity data based on the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at a target time in the drilled well, and the second velocity data includes an average velocity of well points matched at a target layer in the drilled well;

[0009] A prediction result of the depth of an undrilled formation is determined based on the first velocity data and the second velocity data.

[0010] According to another aspect of the present invention, there is provided a device for predicting the depth of an undrilled formation, the device comprising:

[0011] A drilling horizon determination module is used to determine the time-depth relationship of drilled wells in the target area and to determine the drilling horizons between drilled wells and undrilled wells;

[0012] a target time determination module for sequentially taking the drilling horizon between the drilled well and the undrilled well as the target horizon, and taking the one-way travel time of the undrilled well matching the target horizon as the target time;

[0013] a velocity data determination module, configured to determine first velocity data and second velocity data based on the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at a target time in the drilled well, and the second velocity data includes an average velocity of well points matched at a target layer in the drilled well;

[0014] The formation depth prediction module is used to determine a formation depth prediction result of an undrilled well based on the first velocity data and the second velocity data.

[0015] According to another aspect of the present invention, an electronic device is provided, comprising:

[0016] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for predicting the depth of an undrilled formation as described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for predicting the depth of an undrilled formation according to any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the method for predicting the depth of an undrilled formation according to any embodiment of the present invention.

[0019] The technical solution of the embodiment of the present invention determines the relative position relationship between drilled and undrilled wells in the target area; then determines the time-depth relationship of the drilled wells, and determines the drilling layer between the drilled and undrilled wells; sequentially uses the drilling layer between the drilled and undrilled wells as the target layer, and uses the one-way travel time of the undrilled well matching the target layer as the target time; based on the time-depth relationship of the drilled wells, determines first velocity data and second velocity data, the first velocity data including the average velocity of the well points matching the drilled wells at the target time, and the second velocity data including the average velocity of the well points matching the drilled wells at the target layer; based on the first velocity data and the second velocity data, determines the predicted result of the undrilled formation depth. This technical solution solves the problem of poor reliability in predicting the depth of the undrilled formation. Based on the velocity values ​​of two special points in the drilled well velocity curve, the predicted result of the undrilled formation depth is determined. While accurately predicting the depth of the undrilled formation, it greatly simplifies the prediction process and reduces the prediction cost.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 This is a flow chart of a method for predicting the depth of an undrilled formation according to the first embodiment of the present invention;

[0023] Figure 2 2. It is a schematic diagram of the principle of predicting the depth of an undrilled formation according to the first embodiment of the present invention;

[0024] Figure 3 This is a flow chart of a method for predicting the depth of an undrilled formation according to a second embodiment of the present invention;

[0025] Figure 4 This is a comparison chart of undrilled formation depth prediction results provided in accordance with the second embodiment of the present invention;

[0026] Figure 5 2 is a schematic structural diagram of a device for predicting the depth of an undrilled formation according to a third embodiment of the present invention;

[0027] Figure 6It is a schematic structural diagram of an electronic device for implementing the method for predicting the depth of an undrilled formation according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions 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 embodiments described are only 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 making creative efforts should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0030] Example 1

[0031] Figure 1 A flowchart of a method for predicting the depth of an undrilled formation is provided for the first embodiment of the present invention. This embodiment is applicable to oil and gas exploration scenarios, especially the prediction of the depth of an undrilled formation. The method can be executed by a device for predicting the depth of an undrilled formation. The device can be implemented in the form of hardware and / or software, and the device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0032] S110: Determine the relative position relationship between drilled wells and undrilled wells in the target area, as well as the time-depth relationship between the drilled wells, and determine the drilling layer between the drilled wells and the undrilled wells.

[0033] This solution can be executed by electronic devices such as computers and servers. These devices can pre-determine the relative positions of drilled and undrilled wells within the target area. According to general exploration principles, drilled wells are located at structural highs, while undrilled wells are located at structural lows. Seismic calibration is performed based on seismic and well logging data to determine the time-depth relationship of drilled wells within the target area. Based on seismic profiles, the electronic devices can perform event tracking interpretation from drilled wells to determine the drilling horizon between the drilled and undrilled wells.

[0034] S120 , sequentially taking the drilling layers between the drilled wells and the undrilled wells as target layers, and taking the one-way travel time of the undrilled wells matching the target layers as the target time.

[0035] It can be understood that there are usually multiple drilling layers between the drilled well and the undrilled well. The electronic device can take each drilling layer as the target layer in turn, and extract the one-way travel time of the undrilled well in the target layer from the phase axis tracking interpretation results, and use the one-way travel time as the target time.

[0036] S130. Determine first velocity data and second velocity data based on the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points that match the target time of the drilled well, and the second velocity data includes an average velocity of well points that match the target layer of the drilled well.

[0037] For any drilling layer in the drilling process, it is assumed that the one-way travel time of the undrilled well in the target layer is T0, that is, the target time is T0, and the formation depth of the target layer is Z t , the average well point velocity of the target layer is V t , T0, Z t and V t Satisfaction relationship Z t =V t ×T0. Therefore, based on the time-depth relationship of the drilled wells, the electronic device can determine first velocity data and second velocity data. The first velocity data includes the average velocity of the well points that match the drilled wells at the target time, and the second velocity data includes the average velocity of the well points that match the drilled wells in the target layer. There can be multiple drilled wells. The first velocity data may include the average velocity of the well points corresponding to each drilled well at the target time, i.e., the first velocity value of each drilled well. The second velocity data may include the average velocity of the well points corresponding to each drilled well in the target layer, i.e., the second velocity value of each drilled well.

[0038] S140: Determine a prediction result of an undrilled formation depth based on the first velocity data and the second velocity data.

[0039] It's easy to understand that undrilled wells encounter more new formations at the target time. Therefore, the average velocity of the wells matched at the target time for undrilled wells is theoretically lower than that of drilled wells. Similarly, under the same formation conditions, undrilled wells are located lower in the structure, have a greater burial depth, experience stronger compaction, and have higher velocities. Therefore, the average velocity of the wells matched at the target layer for undrilled wells is theoretically higher than that of the wells matched at the target layer for drilled wells. In other words, the average velocity of the wells matched at the target layer for undrilled wells falls between the first and second velocities of the drilled wells.

[0040] Figure 2 FIG. 1 is a schematic diagram of the principle of predicting the depth of an undrilled formation according to the first embodiment of the present invention. Figure 2 As shown in the figure, due to differences in stratum age and burial depth, the true average velocity of the drilled layer above the undrilled well falls between the average velocities of well points D and C. Furthermore, the average velocities of well points D and C, like the true average velocity, are related to their distance from the known wells: the farther away, the greater the error, while the closer, the smaller the error. When the unknown well is infinitely close to the known well location, the average velocities of well points D and C are consistent with the true average velocity.

[0041] The electronic device can estimate the average velocity of the undrilled well points in the target layer based on the first velocity data and the second velocity data, and then estimate the formation depth of the undrilled well in the target layer based on the target time and the average velocity of the undrilled well points in the target layer.

[0042] Specifically, the electronic device can estimate the average velocity of the undrilled well points in the target layer based on the first velocity values ​​and the second velocity values ​​of multiple drilled wells. For example, the average of the first velocity values ​​of each drilled well is calculated as the first velocity average, the average of the second velocity values ​​of each drilled well is calculated as the second velocity average, and the average of the first velocity average and the second velocity average is used as the average velocity of the undrilled well points in the target layer. The formation depth of the undrilled well in the target layer is obtained based on the product of the target time and the average velocity of the well points in the target layer. The formation depth prediction result includes the formation depth of each undrilled drilling layer, and the electronic device can calculate the formation depth of each undrilled drilling layer according to the above estimation method.

[0043] The technical solution of the embodiment of the present invention determines the relative position relationship between drilled and undrilled wells in the target area, as well as the time-depth relationship of the drilled wells, and determines the drilling layer between the drilled and undrilled wells; sequentially uses the drilling layer between the drilled and undrilled wells as the target layer, and uses the one-way travel time of the undrilled well matching the target layer as the target time; based on the time-depth relationship of the drilled wells, determines first velocity data and second velocity data, wherein the first velocity data includes the average velocity of the well points matching the drilled wells at the target time, and the second velocity data includes the average velocity of the well points matching the drilled wells at the target layer; and determines the predicted result of the undrilled formation depth based on the first velocity data and the second velocity data. This technical solution solves the problem of poor reliability in predicting the depth of the undrilled formation by determining the predicted result of the undrilled formation depth based on the velocity values ​​of two special points in the drilled well velocity curve. While accurately predicting the depth of the undrilled formation, it greatly simplifies the prediction process and reduces the prediction cost.

[0044] Example 2

[0045] Figure 3 This is a flow chart of a method for predicting the depth of an undrilled formation provided in the second embodiment of the present invention. This embodiment is based on the above embodiment and is refined. Figure 3 As shown, the method includes:

[0046] S210: Perform well-seismic calibration based on the seismic records in the target area and the logging data of the drilled wells to determine the time-depth relationship of the drilled wells in the target area.

[0047] In this solution, electronic equipment can start from the wells drilled in the target area, produce synthetic seismic records based on the VSP (Vertical Seismic Profile) velocity, conduct well-seismic time-depth relationship calibration, and establish the time-depth relationship of the drilled wells.

[0048] S220. Based on the time-domain seismic profile of the target area, conduct event tracking interpretation of the drilled wells to determine the drilling layer between the drilled wells and the undrilled wells.

[0049] Based on the time domain seismic profile and the undrilled well location, the electronic equipment can perform event tracking interpretation from the drilled well to determine the drilling layer between the drilled and undrilled wells.

[0050] S230: Sequentially set the drilling layers between the drilled wells and the undrilled wells as target layers, and set the one-way travel time of the undrilled wells matching the target layers as target time.

[0051] S240. Determine first velocity data and second velocity data based on the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points that match the target time of the drilled well, and the second velocity data includes an average velocity of well points that match the target layer of the drilled well.

[0052] In a feasible solution, determining the first velocity data and the second velocity data based on the time-depth relationship of the drilled well includes:

[0053] Determining depth data of the drilled well that matches the target time based on the time-depth relationship of the drilled well, and calculating first velocity data based on the depth data of the drilled well that matches the target time and the target time;

[0054] According to the time-depth relationship of the drilled well, the time data of the drilled well matching the target layer is determined, and the second velocity data is calculated based on the time data of the drilled well matching the target layer and the depth of the target layer.

[0055] Specifically, the depth data matched by the drilled wells at the target time may include the formation depth corresponding to each drilled well at the target time, and the time data matched by the drilled wells at the target layer may include the one-way travel time corresponding to each drilled well at the target layer. Each first velocity value in the first velocity data may be expressed as: Z1 is the depth of the drilled formation corresponding to the target time. Each second velocity value in the second velocity data can be expressed as: Z2 is the depth of the drilled formation corresponding to the target layer, T0 ′ Indicates the time corresponding to Z2.

[0056] S250: Calculate average speed data according to the first speed data and the second speed data.

[0057] In a preferred solution, the drilled well is the drilled well closest to the undrilled well in the target area.

[0058] Understandably, Figure 2 As shown, assuming that the average velocity of well point A is V1, the average velocity of well point B is V2, and the average velocity of the well points in the undrilled target layer is V t ,V1, V2 and V t The difference between V1, V2 and V t The larger the error, the closer the distance between the undrilled well and the drilled well. t When the undrilled well is infinitely close to the drilled well position, V1=V2=V t .

[0059] Therefore, in this solution, the electronic device can select the drilled well closest to the undrilled well in the target area as the target drilled well, and use the average of the first velocity value and the second velocity value of the target drilled well as the average well point velocity of the undrilled well in the target layer.

[0060] S260: Calculate the stratum depth of the target layer according to the target time and the average velocity data.

[0061] In this embodiment, the average speed data is the average of the first speed value and the second speed value of the target well. The electronic device can calculate the average speed of the well point in the target layer according to the average speed of the undrilled well and the target time based on the formula Z t =V t ×T0 calculates the stratigraphic depth of the target layer.

[0062] Figure 4 is a comparison chart of the undrilled formation depth prediction results provided by the second embodiment of the present invention. Figure 4 In the specific example shown, formation depth prediction result 1 is a formation depth curve obtained based on the normal speed mapping method. In formation depth prediction result 1, the formation depth of the undrilled well in the target layer is 3752m; formation depth prediction result 2 is a formation depth curve obtained based on the variable speed mapping method. In formation depth prediction result 2, the formation depth of the undrilled well in the target layer is 3660m; formation depth prediction result 3 is a formation depth curve obtained based on the scheme of this embodiment. In formation depth prediction result 3, the formation depth of the undrilled well in the target layer is 3706m; the actual drilling depth is the formation depth curve obtained by actual measurement after drilling the undrilled well. The actual formation depth of the undrilled target layer is 3714m. Based on the above formation depth prediction results, it can be concluded that the undrilled well formation depth prediction scheme provided by this scheme is more accurate in estimating the formation depth of the target layer, and has the smallest error with the actual drilling depth.

[0063] The technical solution of the embodiment of the present invention determines the relative position relationship between drilled and undrilled wells in the target area, as well as the time-depth relationship of the drilled wells, and determines the drilling layer between the drilled and undrilled wells; sequentially uses the drilling layer between the drilled and undrilled wells as the target layer, and uses the one-way travel time of the undrilled well matching the target layer as the target time; based on the time-depth relationship of the drilled wells, determines first velocity data and second velocity data, wherein the first velocity data includes the average velocity of the well points matching the drilled wells at the target time, and the second velocity data includes the average velocity of the well points matching the drilled wells at the target layer; and determines the predicted result of the undrilled formation depth based on the first velocity data and the second velocity data. This technical solution solves the problem of poor reliability in predicting the depth of the undrilled formation by determining the predicted result of the undrilled formation depth based on the velocity values ​​of two special points in the drilled well velocity curve. While accurately predicting the depth of the undrilled formation, it greatly simplifies the prediction process and reduces the prediction cost.

[0064] Example 3

[0065] Figure 5 This is a schematic diagram of the structure of a device for predicting the depth of an undrilled formation provided in the third embodiment of the present invention. Figure 5 As shown, the device includes:

[0066] The drilling layer determination module 310 is used to determine the relative position relationship between drilled wells and undrilled wells in the target area, as well as the time-depth relationship of the drilled wells, and to determine the drilling layer between the drilled wells and the undrilled wells;

[0067] The target time determination module 320 is configured to sequentially determine the drilling horizon between the drilled well and the undrilled well as the target horizon, and the one-way travel time of the undrilled well matching the target horizon as the target time;

[0068] A velocity data determination module 330 is configured to determine first velocity data and second velocity data based on the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at a target time in the drilled well, and the second velocity data includes an average velocity of well points matched at a target layer in the drilled well;

[0069] The formation depth prediction module 340 is configured to determine a formation depth prediction result of an undrilled well based on the first velocity data and the second velocity data.

[0070] In this solution, the drilling layer determination module 310 is further used to perform well-seismic calibration based on seismic records in the target area and logging data of wells that have been drilled, so as to determine the time-depth relationship of wells that have been drilled in the target area.

[0071] In a feasible solution, the drilling layer determination module 310 is specifically configured to perform event tracking interpretation on the drilled wells based on the time-domain seismic profile of the target area to determine the drilling layer between the drilled wells and the undrilled wells.

[0072] In this embodiment, the speed data determination module 330 is specifically configured to:

[0073] Determining depth data of the drilled well that matches the target time based on the time-depth relationship of the drilled well, and calculating first velocity data based on the depth data of the drilled well that matches the target time and the target time;

[0074] According to the time-depth relationship of the drilled well, the time data of the drilled well matching the target layer is determined, and the second velocity data is calculated based on the time data of the drilled well matching the target layer and the depth of the target layer.

[0075] On the basis of the above scheme, the formation depth prediction result includes the formation depth of each undrilled layer;

[0076] The formation depth prediction module 340 is specifically used to:

[0077] calculating average speed data based on the first speed data and the second speed data;

[0078] The stratum depth of the target layer is calculated according to the target time and the average velocity data.

[0079] In a preferred solution, the drilled well is the drilled well closest to the undrilled well in the target area.

[0080] The device for predicting the depth of an undrilled formation provided by an embodiment of the present invention can execute the method for predicting the depth of an undrilled formation provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0081] Example 4

[0082] Figure 6 A schematic diagram of the structure of an electronic device 410 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0083] like Figure 6 As shown, the electronic device 410 includes at least one processor 411, and a memory connected to the at least one processor 411, such as a read-only memory (ROM) 412, a random access memory (RAM) 413, etc., wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 411 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 412 or the computer program loaded from the storage unit 418 to the random access memory (RAM) 413. Various programs and data required for the operation of the electronic device 410 can also be stored in the RAM 413. The processor 411, ROM 412 and RAM 413 are connected to each other via a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0084] Multiple components in electronic device 410 are connected to I / O interface 415, including an input unit 416, such as a keyboard, mouse, etc.; an output unit 417, such as various types of displays, speakers, etc.; a storage unit 418, such as a magnetic disk, optical disk, etc.; and a communication unit 419, such as a network card, modem, wireless communication transceiver, etc. The communication unit 419 allows electronic device 410 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0085] Processor 411 can be various general-purpose and / or specialized processing components with processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processor, controller, microcontroller, etc. Processor 411 executes the various methods and processes described above, such as the method for predicting the depth of an undrilled formation.

[0086] In some embodiments, the method for predicting the depth of an undrilled formation can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 418. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 410 via ROM 412 and / or communication unit 419. When the computer program is loaded into RAM 413 and executed by processor 411, one or more steps of the method for predicting the depth of an undrilled formation described above can be performed. Alternatively, in other embodiments, processor 411 can be configured to execute the method for predicting the depth of an undrilled formation by any other suitable means (e.g., via firmware).

[0087] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0088] Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable undrilled formation depth prediction device, so that when executed by the processor, the computer programs implement the functions / operations specified in the flowcharts and / or block diagrams. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0089] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0090] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0091] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0092] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0093] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0094] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for predicting the depth of an undrilled formation, characterized in that: The method comprises: Determine the relative positional relationship between drilled and undrilled wells within the target area, as well as the time-depth relationship of drilled wells, and determine the drilling horizons between drilled and undrilled wells; The drilling horizon between the drilled well and the undrilled well is sequentially taken as the target horizon, and the one-way travel time of the undrilled well matching the target horizon is taken as the target time; Determining first velocity data and second velocity data based on the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at a target time in the drilled well, and the second velocity data includes an average velocity of well points matched at a target layer in the drilled well; A prediction result of the depth of an undrilled formation is determined based on the first velocity data and the second velocity data.

2. The method according to claim 1, characterized in that Determining the time-depth relationship of the wells drilled in the target area includes: Well-seismic calibration is performed based on seismic records in the target area and logging data of existing wells to determine the time-depth relationship of the wells drilled in the target area.

3. The method according to claim 1, characterized in that Determining the drilling layer between the drilled well and the undrilled well includes: Based on the time-domain seismic profile of the target area, event tracking interpretation is performed on the drilled wells to determine the drilling layer between the drilled and undrilled wells.

4. The method according to claim 1, wherein The determining of the first velocity data and the second velocity data according to the time-depth relationship of the drilled well comprises: Determining depth data of the drilled well that matches the target time based on the time-depth relationship of the drilled well, and calculating first velocity data based on the depth data of the drilled well that matches the target time and the target time; According to the time-depth relationship of the drilled well, the time data of the drilled well matching the target layer is determined, and the second velocity data is calculated based on the time data of the drilled well matching the target layer and the depth of the target layer.

5. The method according to claim 3, characterized in that The formation depth prediction result includes the formation depth of each undrilled layer; Determining a prediction result of an undrilled formation depth based on the first velocity data and the second velocity data includes: calculating average speed data based on the first speed data and the second speed data; The stratum depth of the target layer is calculated according to the target time and the average velocity data.

6. The method according to claim 1, characterized in that The drilled well is the drilled well closest to the undrilled well in the target area.

7. A device for predicting the depth of an undrilled formation, characterized in that: The device comprises: A drilling layer determination module is used to determine the relative position relationship between drilled and undrilled wells in the target area, as well as the time-depth relationship of the drilled wells, and to determine the drilling layers between the drilled and undrilled wells; a target time determination module for sequentially taking the drilling horizon between the drilled well and the undrilled well as the target horizon, and taking the one-way travel time of the undrilled well matching the target horizon as the target time; a velocity data determination module, configured to determine first velocity data and second velocity data based on the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at a target time in the drilled well, and the second velocity data includes an average velocity of well points matched at a target layer in the drilled well; The formation depth prediction module is used to determine a formation depth prediction result of an undrilled well based on the first velocity data and the second velocity data.

8. An electronic device, characterized in that: The electronic device comprises: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the method for predicting the depth of an undrilled formation as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for predicting the depth of an undrilled formation according to any one of claims 1 to 6 when executed.

10. A computer program product comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method for predicting the depth of an undrilled formation according to any one of claims 1 to 6.

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