Drilling operation evaluation method and device, electronic equipment and storage medium

Abstract

The invention discloses a drilling operation evaluation method and device, electronic equipment and a storage medium. The method comprises the following steps: determining drilling log data and a target well process ledger; determining a target well technical ledger according to the well drilling log data and the target well process ledger; according to the technical ledger of the target well, determining index data of the target well under at least one evaluation index; and inputting the index data into a pre-trained drilling operation evaluation model to obtain an evaluation value under each evaluation index output by the drilling operation evaluation model. According to the technical scheme, tracking evaluation of the drilling operation can be accurately carried out, and therefore the production organization efficiency of the drilling operation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil exploration, and in particular to a method, device, electronic equipment and storage medium for evaluating drilling operations. Background Art

[0002] As the scale of oil exploration increases, the number of drilling operations increases each year. Speeding up and improving the efficiency of drilling operations can save huge exploration and production costs. During the drilling operation, how to effectively evaluate the drilling process and production organization efficiency is an important prerequisite for guiding the speed and efficiency of drilling operations.

[0003] The current process tracking and production scheduling efficiency evaluation of drilling operations still mainly rely on traditional manual statistical methods, which are inefficient and lack unified evaluation standards between drilling operations of different wells. It is urgent to establish an accurate, efficient and scientific drilling operation evaluation method to guide the speed and efficiency of drilling operations. Summary of the invention

[0004] The present invention provides a drilling operation evaluation method, device, electronic equipment and storage medium to achieve accurate tracking and evaluation of drilling operations, thereby improving the production organization efficiency of drilling operations.

[0005] In a first aspect, an embodiment of the present invention provides a method for evaluating a drilling operation, the method comprising:

[0006] Determine drilling log data and target well process records;

[0007] Determine the target well technical record according to the drilling log data and the target well process record;

[0008] Determining index data of the target well under at least one evaluation index according to the target well technical record;

[0009] The indicator data is input into a pre-trained drilling operation evaluation model to obtain evaluation values ​​under each evaluation indicator output by the drilling operation evaluation model.

[0010] In a second aspect, an embodiment of the present invention further provides a drilling operation evaluation device, the device comprising:

[0011] The target well process record determination module is used to determine the drilling log data and the target well process record;

[0012] A target well technical record determination module, used to determine the target well technical record according to the drilling log data and the target well process record;

[0013] An indicator data determination module, used to determine the indicator data of the target well under at least one evaluation indicator according to the technical record of the target well;

[0014] The drilling operation evaluation module is used to input the index data into a pre-trained drilling operation evaluation model to obtain the evaluation value under each evaluation index output by the drilling operation evaluation model.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for evaluating drilling operations as described in any one of the embodiments of the present invention is implemented.

[0016] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer executable instructions, wherein the computer executable instructions, when executed by a computer processor, are used to execute a drilling operation evaluation method as described in any one of the embodiments of the present invention.

[0017] The technical solution of the embodiment of the present invention establishes a target well process ledger and a target well technical ledger, determines the index data of the target well under each evaluation index according to the target well technical ledger, and inputs each index data into the drilling operation evaluation model to obtain the evaluation value of each evaluation index output by the drilling operation evaluation model. The problem of low efficiency and lack of uniform evaluation standards in manual tracking of drilling operation processes and production scheduling efficiency evaluation in the prior art is solved, and accurate, efficient and scientific tracking and evaluation of drilling operations are achieved, thereby improving the production organization efficiency of drilling operations.

[0018] 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

[0019] 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.

[0020] Figure 1 is a flow chart of a drilling operation evaluation method provided in Embodiment 1 of the present invention;

[0021] Figure 2 is a flow chart of a drilling operation evaluation method provided in Embodiment 2 of the present invention;

[0022] Figure 3 It is a structural schematic diagram of a drilling operation evaluation device provided in Embodiment 3 of the present invention;

[0023] Figure 4 It is a structural schematic diagram of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0024] 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.

[0025] 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 interchanged 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 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.

[0026] Embodiment 1

[0027] Figure 1 A flowchart of a method for evaluating drilling operations is provided for embodiment 1 of the present invention. This embodiment is applicable to situations where real-time tracking and evaluation of drilling operations are performed during drilling operations. The method can be executed by an evaluation device for drilling operations. The evaluation device for drilling operations can be implemented in the form of hardware and / or software, and the evaluation device for drilling operations can be configured in a server.

[0028] like Figure 1 As shown, the method includes:

[0029] S110, determine the drilling log data and target well process ledger.

[0030] Among them, drilling log data can be obtained from the drilling operation IoT database. The drilling log data may include data generated by different wells during drilling operations, such as drilling rig data and drilling data of different wells. The target well is a well that needs to be tracked and evaluated for production scheduling efficiency. The target well can be a well that has completed the operation or a well that is in operation. The target well process ledger refers to a ledger established for the target well based on time and in the order of different processes.

[0031] In this embodiment, a target well process log of the target well is established, so that after the evaluation value of each evaluation index is determined, the drilling process that affects the efficiency of the drilling operation can be accurately located, so as to speed up and improve the efficiency of the drilling operation in a targeted manner.

[0032] Furthermore, S110 may include: establishing a target well process ledger according to the time sequence of each drilling process of the drilling operation; wherein the target well process ledger includes the start and end time, start and end depth, and start and end drill bit positions of at least one drilling process.

[0033] Among them, the drilling processes may include, in chronological order, relocation, installation, trial operation, first drilling, pulling out the drill, changing the drill bit, drilling, first drilling, electrical measurement, casing lowering, cementing, changing the wellhead, measuring cementing quality, second drilling, third drilling, oil testing, installing oil (gas) trees, etc. There may be certain deviations in the number and sequence of drilling processes for wells in different regions and types, and this embodiment does not limit this.

[0034] The start and end time refers to the start time and end time of a drilling process, the start and end depths refer to the well depth corresponding to the start time and the well depth corresponding to the end time of a drilling process, and the start and end drill bit positions refer to the drill bit position corresponding to the start time and the drill bit position corresponding to the end time of a drilling process.

[0035] In this embodiment, with time as the main line, according to the corresponding sequence of different drilling processes, a target well process ledger is constructed, which includes the specific operation content, start and end time, start and end depth, and start and end drill bit positions of different operation processes.

[0036] Furthermore, a DDR SDRAM (Double Data Rate Synchronous Dynamic Random Access Memory) automatic identification method can be used to parse the drilling log data to obtain the target well process ledger. However, this embodiment does not limit the specific method of identifying data based on the drilling log data and constructing the target well process ledger.

[0037] S120, determining the target well technical ledger according to the drilling log data and the target well process ledger.

[0038] Among them, the target well technical record refers to the record obtained by expanding the technical data corresponding to different drilling processes based on the target well process record. For example, the target well technical record may include data such as formation, opening times, wellbore size, well type, season, drilling technology, drilling trips, and drill bit models of different drilling processes.

[0039] In this embodiment, since the drilling log data can be obtained from the drilling operation IoT database, the real-time data such as the formation lithology, pressure system, wellbore structure and well trajectory, drilling fluid performance, drilling parameters, gas measurement, drilling speed, etc. of the target well during the drilling operation can be obtained in real time by using the drilling log data in the drilling operation IoT database, so as to expand the target well process record to obtain the target well technical record. The advantage of this setting is that the drilling operation process of the target well is tracked, which improves the efficiency and timeliness of the drilling operation evaluation.

[0040] Furthermore, S120 may include:

[0041] A1. According to the associated primary key, in the drilling log data, determine the attribute data matching each drilling process in the target well process ledger;

[0042] Wherein, the associated primary key includes at least one of the following: target well identification, target well wellbore identification and target well operation time;

[0043] Among them, the associated primary key is used to find data matching the drilling process of the target well in the drilling log data, and the attribute data may include formation, opening number, wellbore size, well type, season, drilling process, drilling trip, drill bit model, etc. The target well identification is also the ID of the target well, which is the unique identification of the target well. The wellbore identification refers to the ID corresponding to the main part of the target well, which is the unique identification of the wellbore of the target well.

[0044] In this embodiment, the attribute data corresponding to each drilling process of the target well is searched in the drilling log data according to the associated primary key. Taking the start times of each drilling process as an example, according to the associated primary keys such as the target well identifier, the target well well bore identifier and the target well operation time, the start times corresponding to each drilling process of the target well are searched in the start times table in the drilling log data.

[0045] A2. Determine the target well technical record based on the target well process record and the attribute data.

[0046] In this embodiment, after obtaining the attribute data corresponding to each drilling process according to the associated primary key query, the target well process ledger is expanded according to the attribute data to obtain the target well technical ledger.

[0047] S130. Determine index data of the target well under at least one evaluation index according to the target well technical record.

[0048] In this embodiment, after establishing the target well technical ledger of the target well, based on the various evaluation indicators of the drilling operation evaluation system, data related to each evaluation indicator is extracted from the target well technical ledger, and indicator data is determined based on the data related to each evaluation indicator.

[0049] Furthermore, S130 may include: determining the indicator data of the target well under each evaluation indicator according to the target well technical record and pre-set extraction rules matching each evaluation indicator.

[0050] The extraction rules may be determined according to industry standards or flexibly determined according to actual needs of drilling operations. This embodiment does not limit the specific content of the extraction rules.

[0051] For example, taking the evaluation index "moving time index" as an example, the extraction rule can be the time interval between the last equipment relocation completion time and the first drilling rig lifting time. Then the process of determining the index data corresponding to the "moving time index" can be: extract the first drilling rig lifting time and the last equipment relocation completion time corresponding to the drilling process "moving" in the target well technical ledger, and determine the index data corresponding to the "moving time index" based on the time difference between the two times, for example, the index data corresponding to the "moving time index" can be 2 days.

[0052] Furthermore, the evaluation index includes primary index, secondary index and tertiary index; wherein the primary index includes at least two of the following: cycle index, speed index, efficiency index and quality index.

[0053] Furthermore, the first-level indicator cycle indicator can correspond to the following second-level indicators: relocation cycle, drilling cycle and completion cycle. The second-level indicator relocation cycle can correspond to the following third-level indicators: relocation time, installation time, trial operation and pressure test time. The second-level indicator drilling cycle can correspond to the following third-level indicators: drilling time, single-thread connection time, drilling time, drilling time and drilling tool assembly time. The second-level indicator completion cycle can correspond to the following third-level indicators: well washing time, well clearance time, logging time, casing time and cementing time.

[0054] Furthermore, the first-level speed index can correspond to the following second-level indexes: drilling speed, single-thread connection speed, drilling speed and lowering speed. The second-level drilling speed index can correspond to the following third-level indexes: mechanical drilling speed, travel drilling speed and drilling rig monthly speed. The second-level single-thread connection speed index can correspond to the following third-level indexes: drilling tool upward speed, elevator speed, make-up and breakout speed and drilling tool downward speed. The second-level drilling speed index can correspond to the following third-level indexes: drilling tool upward speed, elevator speed, make-up and breakout speed and big hook downward speed. The second-level lowering speed index can correspond to the following third-level indexes: big hook upward speed, elevator speed, make-up and breakout speed and drilling tool downward speed.

[0055] Furthermore, the first-level efficiency index can correspond to the following second-level indexes: production efficiency and organizational efficiency. The second-level production efficiency index can correspond to the following third-level indexes: drilling time, tripping time, logging time, casing time, cementing time, and accident complexity rate. The second-level organizational efficiency index can correspond to the following third-level indexes: drilling rig waiting well position ratio, well position waiting rig ratio, waiting time before drilling, waiting time for tools and materials, waiting time for design instructions, and waiting time for casing and cementing.

[0056] Furthermore, the first-level quality index can correspond to the following second-level indexes: well depth quality and cementing quality. The second-level well depth quality index can correspond to the following third-level indexes: well inclination angle, full angle change rate, radius expansion rate. The second-level cementing quality index can correspond to the following third-level indexes: cement return height and cementing bonding quality.

[0057] S140, inputting the indicator data into a pre-trained drilling operation evaluation model to obtain evaluation values ​​under each evaluation indicator output by the drilling operation evaluation model.

[0058] The drilling operation evaluation model is a model obtained by pre-training the machine learning model, and the evaluation value can be used to describe the evaluation results of each evaluation index. Exemplarily, the evaluation value can be an integer between 0 and 5, and the higher the evaluation value, the higher the efficiency of the drilling operation. It can also be set that when the evaluation value is lower than a certain threshold, the evaluation index corresponding to the evaluation value is a factor affecting the efficiency of the drilling operation. For example, when the evaluation value is an integer between 0 and 5, the threshold can be set to 2.

[0059] Furthermore, when the drilling operation evaluation model determines the evaluation value of each evaluation index, the indicator data corresponding to the evaluation index can be evaluated based on different evaluation dimensions. The evaluation dimensions may include formation, service company, season, well type, well section, well distance, well type, wellbore size, opening, basin, drilling, oil field, drilling rig type, drilling rig model, drilling process, drill bit model, etc. Exemplarily, for the third-level indicator moving time, the evaluation value can be determined from the evaluation dimensions of different drilling rig models, different drilling rig types, different seasons, different basins, and different well separation distances. For example, when the drilling rig model, drilling rig type, basin, and well separation distance remain unchanged, the winter moving time of 3 days and the summer moving time of 2 days can be set to the same evaluation value.

[0060] The technical solution of this embodiment conducts evaluation analysis of each evaluation indicator from different evaluation dimensions based on its correlation with different evaluation dimensions, thereby achieving a more accurate and refined evaluation of the drilling operation process.

[0061] Furthermore, after obtaining the evaluation values ​​of each evaluation index of the target well, the drilling operation efficiency is analyzed according to the evaluation values ​​of each evaluation index, and the drilling processes that affect the drilling operation efficiency are located in a timely, efficient and accurate manner, realizing the analysis and positioning of personalized problems of multiple processes in a single well at the micro level.

[0062] The technical solution of the embodiment of the present invention establishes a target well process ledger and a target well technical ledger, determines the index data of the target well under each evaluation index according to the target well technical ledger, and inputs each index data into the drilling operation evaluation model to obtain the evaluation value of each evaluation index output by the drilling operation evaluation model. The problem of low efficiency and lack of uniform evaluation standards in manual tracking of drilling operation processes and production scheduling efficiency evaluation in the prior art is solved, and accurate, efficient and scientific tracking and evaluation of drilling operations are achieved, thereby improving the production organization efficiency of drilling operations.

[0063] Embodiment 2

[0064] Figure 2 This is a flow chart of a drilling operation evaluation method provided in the second embodiment of the present invention. Based on the above embodiments, the present embodiment of the present invention adds a training process of a drilling operation evaluation model.

[0065] like Figure 2 As shown, the method includes:

[0066] S210, determining historical drilling log data and historical process records of each well, and determining historical technical records of each well based on the historical drilling log data and historical process records of each well.

[0067] The historical drilling log data is used to determine the sample data for model training. In this embodiment, the process of establishing the historical process ledgers and historical technical ledgers of different wells is the same as the process of S110 and S120, and this embodiment will not be repeated here.

[0068] Furthermore, historical process records and historical technical records can be determined for wells with similar geographical locations, the same geological structural units, the same oil and gas mining rights units, etc. This setting allows the trained drilling operation evaluation model to conduct subsequent actual well drilling operation evaluations, and to analyze and locate common problems in regional drilling from a macro perspective.

[0069] S220. According to the historical technical records of each well, the historical indicator data and historical evaluation value labels of each well under each evaluation indicator are determined respectively.

[0070] In this embodiment, the process of determining the historical indicator data under each evaluation indicator according to the historical technical ledger is the same as S130, and this embodiment will not be repeated here.

[0071] The historical evaluation value label of each well under each evaluation index can be determined by multiple technicians based on the historical index data under the evaluation index. Specifically, multiple technicians can score respectively based on the historical index data under the evaluation index, and after calculating the average value of the scores of different technicians by removing the highest score and the lowest score, the average value is used as the historical evaluation value label.

[0072] S230. According to the historical indicator data and historical evaluation value labels of each well under each evaluation indicator, a pre-set machine learning model is trained to obtain a drilling operation evaluation model.

[0073] In this embodiment, the historical indicator data and historical evaluation value labels of each well under each evaluation indicator are used as sample data to train the machine learning model.

[0074] Furthermore, S230 may include:

[0075] B1. According to the historical indicator data and historical evaluation value labels of each well under each evaluation indicator, at least two pre-set machine learning models are trained to obtain at least two candidate models.

[0076] Among them, the types of machine learning models can include cluster analysis models, BP (Back Propagation) neural network models, exponential distribution models, convolutional neural network models, vector weighted average models, gradient forest models, etc. This embodiment does not limit the specific types of machine learning models.

[0077] B2. Determine the drilling operation evaluation model among the candidate models.

[0078] In this embodiment, the historical index data and historical evaluation value labels of each well under each evaluation index are used as sample data to train different types of machine learning models, and a drilling operation evaluation model is selected from the obtained candidate models. The selection criteria may be the best model accuracy and / or the fastest model speed, etc., which are not limited in this embodiment.

[0079] S240. Determine the drilling log data and target well process record.

[0080] S250, determining the target well technical ledger according to the drilling log data and the target well process ledger.

[0081] S260. Determine index data of the target well under at least one evaluation index according to the target well technical record.

[0082] S270: Input the indicator data into a pre-trained drilling operation evaluation model to obtain evaluation values ​​under each evaluation indicator output by the drilling operation evaluation model.

[0083] The technical solution of the embodiment of the present invention is to establish a historical process ledger and a historical technical ledger for all wells with similar geographical locations, the same geological structural units, the same oil and gas mining rights units, etc., determine the historical indicator data and historical evaluation value labels under each evaluation indicator, and use the historical indicator data and historical evaluation value labels of each well under each evaluation indicator as sample data to train the machine learning model, and track and evaluate the drilling operation of the target well according to the drilling operation evaluation model obtained by training. The technical solution of this embodiment has richer, more detailed and diversified evaluation indicators, provides a unified evaluation standard for different wells, and conducts a more extensive optimization analysis of drilling operations. It can locate common problems of regional drilling at the macro level, and can locate personalized problems of multiple processes for single well analysis at the micro level, providing guidance data for speeding up and improving the efficiency of drilling operations, and on this basis, realizes the overall optimization of multi-well operations in the region, and can adapt the optimal scheduling for multi-well operations in the region.

[0084] Embodiment 3

[0085] Figure 3 This is a schematic diagram of the structure of a drilling operation evaluation device provided in the third embodiment of the present invention. Figure 3 As shown, the device comprises:

[0086] The target well process record determination module 310 is used to determine the drilling log data and the target well process record;

[0087] A target well technical record determination module 320 is used to determine the target well technical record according to the drilling log data and the target well process record;

[0088] An indicator data determination module 330 is used to determine the indicator data of the target well under at least one evaluation indicator according to the target well technical record;

[0089] The drilling operation evaluation module 340 is used to input the index data into a pre-trained drilling operation evaluation model to obtain evaluation values ​​under each evaluation index output by the drilling operation evaluation model.

[0090] The technical solution of the embodiment of the present invention establishes a target well process ledger and a target well technical ledger, determines the index data of the target well under each evaluation index according to the target well technical ledger, and inputs each index data into the drilling operation evaluation model to obtain the evaluation value of each evaluation index output by the drilling operation evaluation model. The problem of low efficiency and lack of uniform evaluation standards in manual tracking of drilling operation processes and production scheduling efficiency evaluation in the prior art is solved, and accurate, efficient and scientific tracking and evaluation of drilling operations are achieved, thereby improving the production organization efficiency of drilling operations.

[0091] Based on the above embodiment, the target well process record determination module 310 includes:

[0092] The target well process record establishment unit is used to establish the target well process record according to the time sequence of each drilling process of the drilling operation;

[0093] Among them, the target well process record includes the start and end time, start and end depth, and start and end drill bit positions of at least one drilling process.

[0094] Based on the above embodiment, the target well technical record determination module 320 includes:

[0095] An attribute data determination unit, configured to determine, in the drilling log data, attribute data matching each drilling process in the target well process ledger according to an associated primary key;

[0096] Wherein, the associated primary key includes at least one of the following: target well identification, target well wellbore identification and target well operation time;

[0097] The target well technical record establishment unit is used to determine the target well technical record according to the target well process record and the attribute data.

[0098] Based on the above embodiment, the indicator data determination module 330 includes:

[0099] The indicator data determination unit is used to determine the indicator data of the target well under each evaluation indicator according to the target well technical record and the pre-set extraction rules matching each evaluation indicator.

[0100] Based on the above embodiment, the evaluation index includes primary index, secondary index and tertiary index;

[0101] Among them, the first-level indicators include at least two of the following: a cycle indicator, a speed indicator, an efficiency indicator and a quality indicator.

[0102] Based on the above embodiment, the device further includes:

[0103] A historical record determination module is used to determine the historical drilling log data and the historical process records of each well, and determine the historical technical records of each well based on the historical drilling log data and the historical process records of each well;

[0104] The historical indicator data determination module is used to determine the historical indicator data and historical evaluation value labels of each well under each evaluation indicator according to the historical technical records of each well;

[0105] The drilling operation evaluation model training module is used to train the pre-set machine learning model according to the historical indicator data and historical evaluation value labels of each well under each evaluation indicator to obtain the drilling operation evaluation model.

[0106] Based on the above embodiment, the drilling operation evaluation model training module includes:

[0107] A candidate model training unit is used to train at least two pre-set machine learning models according to the historical indicator data and historical evaluation value labels of each well under each evaluation indicator to obtain at least two candidate models;

[0108] The drilling operation evaluation model determination unit is used to determine the drilling operation evaluation model among the candidate models.

[0109] The drilling operation evaluation device provided in the embodiment of the present invention can execute the drilling operation evaluation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0110] Embodiment 4

[0111] Figure 4A schematic diagram of the structure of an electronic device 10 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.

[0112] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0113] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0114] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 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 11 executes the various methods and processes described above, such as the evaluation method of the drilling operation.

[0115] In some embodiments, the evaluation method of drilling operations may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the evaluation method of drilling operations described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the evaluation method of drilling operations in any other appropriate manner (e.g., by means of firmware).

[0116] 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.

[0117] 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 data processing 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 and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0118] 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 combination 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.

[0119] 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).

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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 evaluating drilling operations, characterized in that: include: Determine drilling log data and target well process records; Determine the target well technical record according to the drilling log data and the target well process record; Determining index data of the target well under at least one evaluation index according to the target well technical record; The indicator data is input into a pre-trained drilling operation evaluation model to obtain evaluation values ​​under each evaluation indicator output by the drilling operation evaluation model.

2. The method according to claim 1, characterized in that Determine the target well process ledger, including: Establish a target well process ledger based on the time sequence of each drilling process in the drilling operation; Among them, the target well process record includes the start and end time, start and end depth, and start and end drill bit positions of at least one drilling process.

3. The method according to claim 2, characterized in that Determine the target well technical ledger based on the drilling log data and the target well process ledger, including: According to the associated primary key, in the drilling log data, attribute data matching each drilling process in the target well process ledger is determined; Wherein, the associated primary key includes at least one of the following: target well identification, target well wellbore identification and target well operation time; The target well technical record is determined according to the target well process record and the attribute data.

4. The method according to claim 1, characterized in that According to the target well technical record, determine the indicator data of the target well under at least one evaluation indicator, including: According to the target well technical record and pre-set extraction rules matching each evaluation index, the index data of the target well under each evaluation index is determined.

5. The method according to claim 1, characterized in that The evaluation indicators include primary indicators, secondary indicators and tertiary indicators; Among them, the first-level indicators include at least two of the following: a cycle indicator, a speed indicator, an efficiency indicator and a quality indicator.

6. The method according to claim 1, characterized in that The training process of the drilling operation evaluation model includes: Determine the historical drilling log data and the historical process records of each well, and determine the historical technical records of each well based on the historical drilling log data and the historical process records of each well; According to the historical technical records of each well, determine the historical indicator data and historical evaluation value labels of each well under each evaluation indicator; According to the historical indicator data and historical evaluation value labels of each well under each evaluation indicator, the pre-set machine learning model is trained to obtain the drilling operation evaluation model.

7. The method according to claim 6, characterized in that According to the historical indicator data and historical evaluation value labels of each well under each evaluation indicator, the pre-set machine learning model is trained to obtain the drilling operation evaluation model, including: According to the historical indicator data and historical evaluation value labels of each well under each evaluation indicator, at least two pre-set machine learning models are trained to obtain at least two candidate models; Among the candidate models, a drilling operation evaluation model is determined.

8. A drilling operation evaluation device, characterized in that: include: The target well process record determination module is used to determine the drilling log data and the target well process record; A target well technical record determination module, used to determine the target well technical record according to the drilling log data and the target well process record; An indicator data determination module, used to determine the indicator data of the target well under at least one evaluation indicator according to the technical record of the target well; The drilling operation evaluation module is used to input the index data into a pre-trained drilling operation evaluation model to obtain the evaluation value under each evaluation index output by the drilling operation evaluation model.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the drilling operation evaluation method as described in any one of claims 1-7 is implemented.

10. A storage medium storing computer executable instructions, characterized in that: The computer executable instructions are used to perform the drilling operation evaluation method as described in any one of claims 1-7 when executed by a computer processor.

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