Prediction method, device and equipment for depth of undrilled stratum, medium and product

Abstract

The invention discloses a method, device and equipment for predicting the depth of an undrilled stratum, a medium and a product. The method comprises the following steps: determining a relative position relationship between a drilled well and a non-drilled well in a target area and a time-depth relationship of the drilled well, and determining a drilling layer between the drilled well and the non-drilled well; sequentially taking the drilling horizon between the drilled well and the undrilled well as a target horizon, and taking the one-way travel time matched with the undrilled well at the target horizon as target time; and determining first speed data and second speed data according to the time-depth relationship of the drilled well, and determining a stratum depth prediction result of the undrilled well according to the first speed data and the second speed data. According to the technical scheme, the problem of poor reliability of prediction of the depth of the undrilled formation is solved, the prediction result of the depth of the undrilled formation is determined based on the speed values of the two special points in the drilled speed curve, the depth of the undrilled formation is accurately predicted, the prediction process is simplified, and the prediction cost is reduced.

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 stratigraphic and fault constraints, to establish an accurate velocity field, and then based on the established velocity model, variable speed mapping and time-depth conversion are carried out 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 are fast prediction speed and high efficiency, but because it does not take into account the ups and downs and changes of underground structures, the prediction errors are often large. The advantage of the variable speed mapping method is that it takes into account seismic, logging and geological constraints, and can usually obtain a more accurate velocity field, and then a more accurate depth prediction value, but the velocity modeling process is more complicated, time-consuming, and inefficient, which does not meet the needs of efficient and fast drilling. In addition, the uncertainty of the input seismic processing speed will also affect the reliability of velocity modeling, and ultimately lead to uncertainty in the prediction results of the undrilled formation depth. 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 prediction result of the depth of undrilled formations is determined based on the velocity values ​​of two special points in the drilled velocity curve. While accurately predicting the depth of undrilled formations, the prediction process is greatly simplified and the prediction cost is reduced.

[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 between drilled and undrilled wells in the target area, as well as determine the time-depth relationship between drilled wells in the target area, and determine the drilling horizons between drilled and undrilled wells;

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

[0008] Determine first velocity data and second velocity data according to the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at the target time of the drilled well, and the second velocity data includes an average velocity of well points matched at the target layer of the drilled well;

[0009] A prediction result of the depth of an undrilled formation is determined according to 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 layer determination module is used to determine the time-depth relationship of the wells drilled in the target area and determine the drilling layers between the drilled wells and the undrilled wells;

[0012] A target time determination module is used to sequentially take the drilling layer between the drilled well and the undrilled well as the target layer, and take the one-way travel time of the undrilled well matching the target layer as the target time;

[0013] A velocity data determination module, for determining first velocity data and second velocity data according to 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 the prediction result of the formation depth of the undrilled well according to the first velocity data and the second velocity data.

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

[0016] At least one processor; and a memory in communication with 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 implement the method for predicting the depth of an undrilled formation described in any embodiment of the present invention when executed by a processor.

[0018] According to another aspect of the present invention, a computer program product is provided, 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 as described in any embodiment of the present invention.

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

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily 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 accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

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

[0023] Figure 2 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 is a flow chart of a method for predicting the depth of an undrilled formation provided according to the second embodiment of the present invention;

[0025] Figure 4 is a comparison chart of undrilled formation depth prediction results provided according to the second embodiment of the present invention;

[0026] Figure 5 2 is a schematic diagram of the structure of a device for predicting the depth of an undrilled formation provided in accordance with a third embodiment of the present invention;

[0027] Figure 6It is a schematic diagram of the structure 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 scheme of the present invention, the technical scheme 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 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 creative work 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 of their variations 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 that are 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] Embodiment 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, determining the relative position relationship between the drilled wells and the undrilled wells in the target area, as well as the time-depth relationship between the drilled wells, and determining 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. The electronic devices can obtain the relative position relationship between the drilled wells and the undrilled wells in the target area in advance. According to the general exploration idea, the drilled wells are located in the high part of the structure, and the undrilled wells are located in the low part of the structure. Well seismic calibration is performed based on seismic data and well logging data to determine the time-depth relationship of the drilled wells in the target area. Based on the seismic profile, the electronic device can perform phase axis tracking interpretation from the drilled wells to determine the drilling layer between the drilled wells and the 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 wells and the undrilled wells. 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, and the second velocity data includes an average velocity of well points that match the target layer.

[0037] For any drilling layer in the drilling process, it is assumed that the one-way travel time of the target layer is T0, that is, the target time is T0, and the stratigraphic 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 Satisfy relationship Z t =V t ×T0. Therefore, according to the time-depth relationship of the drilled wells, the electronic device can determine the first speed data and the second speed data. The first speed data includes the average speed of the well points that match the drilled wells at the target time, and the second speed data includes the average speed of the well points that match the drilled wells at the target layer. The number of drilled wells can be multiple, and the first speed data can include the average speed of the well points corresponding to the target time of each drilled well, that is, the first speed value of each drilled well, and the second speed data can include the average speed of the well points corresponding to the target layer of each drilled well, that is, the second speed value of each drilled well.

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

[0039] It is easy to understand that the undrilled wells encounter more new formations at the target time. Therefore, the average velocity of the well points matched by the undrilled wells at the target time is theoretically less than the average velocity of the well points matched by the drilled wells at the target time. Similarly, under the same set of formation conditions, the undrilled wells are located at a lower part of the structure than the drilled wells, with a greater burial depth, stronger compaction, and greater velocity. Therefore, the average velocity of the well points matched by the undrilled wells at the target layer is theoretically greater than the average velocity of the well points matched by the drilled wells at the target layer. That is, the average velocity of the well points of the undrilled wells at the target layer is between the first velocity value and the second velocity value of the drilled wells.

[0040] Figure 2 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 the difference in the age and burial depth of the formation, the true average velocity of the drilling layer on the undrilled well is between the average velocities of well point D and well point C, and the average velocity values ​​of well point D and well point C and the true average velocity value are related to the distance from the known well. The farther away, the greater the error, and the closer, the smaller the error. When the unknown well is infinitely close to the known well position, the average velocity values ​​of well point D and well point C are consistent with the true average velocity value.

[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 further 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 value of the first velocity values ​​of each drilled well is calculated as the first velocity average value, the average value of the second velocity values ​​of each drilled well is calculated as the second velocity average value, and the average value of the first velocity average value and the second velocity average value 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 according to 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 drilling layer of the undrilled well, and the electronic device can calculate the formation depth of each drilling layer of the undrilled well according to the above estimation method.

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

[0044] Embodiment 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, performing well seismic calibration based on the seismic records in the target area and the logging data of the wells that have been drilled, and determining the time-depth relationship of the wells that have been drilled in the target area.

[0047] In this solution, the electronic equipment can start from the wells drilled in the target area, produce synthetic seismic records based on the VSP (Vertical Seismic Profile) velocity, carry out 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 on the drilled wells to determine the drilling layer between the drilled wells and the undrilled wells.

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

[0050] S230, sequentially taking the drilling layers between the drilled wells and the undrilled wells as the target layers, and taking the one-way travel time of the undrilled wells matching the target layers as the 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, and the second velocity data includes an average velocity of well points that match the target layer.

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

[0053] Determine depth data of the well that matches the target time according to the time-depth relationship of the well that has been drilled, and calculate first velocity data according to the depth data of the 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 according to 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 speed value in the first speed 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] Understandable, such as Figure 2 As shown in the figure, 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 prediction results of the undrilled formation depth provided by the second embodiment of the present invention. Figure 4 In the specific example shown, the formation depth prediction result 1 is a formation depth curve obtained based on the normal speed mapping method. In the formation depth prediction result 1, the formation depth of the undrilled well in the target layer is 3752m; the formation depth prediction result 2 is a formation depth curve obtained based on the variable speed mapping method. In the formation depth prediction result 2, the formation depth of the undrilled well in the target layer is 3660m; the formation depth prediction result 3 is a formation depth curve obtained based on the scheme of this embodiment. In the 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 obtained that the undrilled formation depth prediction scheme provided by this scheme is more accurate in estimating the formation depth of the target layer, and the error with the actual drilling depth is the smallest.

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

[0064] Embodiment 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 comprises:

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

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

[0068] The velocity data determination module 330 is used to determine first velocity data and second velocity data according to the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at the target time of the drilled well, and the second velocity data includes an average velocity of well points matched at the target layer of the drilled well;

[0069] The formation depth prediction module 340 is used to determine the prediction result of the formation depth of the undrilled well according to the first velocity data and the second velocity data.

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

[0071] In a feasible solution, the drilling layer determination module 310 is specifically used 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 used to:

[0073] Determine depth data of the well that matches the target time according to the time-depth relationship of the well that has been drilled, and calculate first velocity data according to the depth data of the 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 according to the time data of the drilled well matching the target layer and the depth of the target layer.

[0075] Based on 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 for:

[0077] Calculating average speed data according to 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 in an embodiment of the present invention can execute the method for predicting the depth of an undrilled formation provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0081] Embodiment 4

[0082] Figure 6 A schematic diagram 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 may 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 in communication, 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 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. In the RAM 413, various programs and data required for the operation of the electronic device 410 can also be stored. The processor 411, the ROM 412, and the 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 the electronic device 410 are connected to the I / O interface 415, including: an input unit 416, such as a keyboard, a mouse, etc.; an output unit 417, such as various types of displays, speakers, etc.; a storage unit 418, such as a disk, an optical disk, etc.; and a communication unit 419, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 419 allows the electronic device 410 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

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

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

[0087] Various implementations of the systems and techniques described above 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), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including 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] The computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may 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 the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0089] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0090] To provide interaction with a user, the systems and techniques described herein may 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 a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0091] The systems and techniques described herein may be implemented in a computing system that includes backend 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 frontend components (e.g., a user computer with a graphical user interface or a 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 backend components, middleware components, or frontend components. The components of the system may 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 a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0093] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0094] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope 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 position relationship between drilled and undrilled wells in the target area, as well as the time-depth relationship of the drilled wells, and determine the drilling layers between the drilled and undrilled wells; The drilling layer between the drilled well and the undrilled well is sequentially taken as the target layer, and the one-way travel time of the undrilled well matching the target layer is taken as the target time; Determine first velocity data and second velocity data according to the time-depth relationship of the drilled well, wherein the first velocity data includes an average velocity of well points matched at the target time of the drilled well, and the second velocity data includes an average velocity of well points matched at the target layer of the drilled well; A prediction result of the depth of an undrilled formation is determined according to 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 the seismic records in the target area and the logging data of the wells that have been drilled to determine the time-depth relationship of the wells that have been 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 comprises: Based on the time-domain seismic profile of the target area, the event tracking interpretation of the drilled wells is carried out to determine the drilling layer between the drilled wells and the undrilled wells.

4. The method according to claim 1, characterized in that Determining the first velocity data and the second velocity data according to the time-depth relationship of the drilled well includes: Determine depth data of the well that matches the target time according to the time-depth relationship of the well that has been drilled, and calculate first velocity data according to the depth data of the 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 according to 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 the prediction result of the undrilled formation depth according to the first velocity data and the second velocity data includes: Calculating average speed data according to 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 the drilled wells and the undrilled wells in the target area, as well as the time-depth relationship of the drilled wells, and determine the drilling layer between the drilled wells and the undrilled wells; A target time determination module is used to sequentially take the drilling layer between the drilled well and the undrilled well as the target layer, and take the one-way travel time of the undrilled well matching the target layer as the target time; A velocity data determination module, for determining first velocity data and second velocity data according to 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 the prediction result of the formation depth of the undrilled well according to 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 so that the at least one processor can execute the method for predicting the depth of an undrilled formation as described in any one of claims 1-6.

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 1-6 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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