CN112686942B

CN112686942B - Method and device for determining target address of drilling platform

Info

Publication number: CN112686942B
Application number: CN201910989178.6A
Authority: CN
Inventors: 张学强; 唐世忠; 李娟�; 步宏光; 吴华; 吕照鹏; 韩克玉
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Filing date: 2019-10-17
Publication date: 2024-05-31
Anticipated expiration: 2039-10-17

Abstract

The application discloses a method and a device for determining a target address of a drilling platform, and belongs to the technical field of oil and gas well drilling. The method comprises the following steps: obtaining a plurality of candidate addresses of a drilling platform, determining initial parameter values of prediction parameters corresponding to the candidate addresses, sequentially carrying out homodromous processing, normalization processing and nonlinear processing on the initial parameter values of the prediction parameters for the initial parameter values of the prediction parameters corresponding to the candidate addresses, obtaining target parameter values of the prediction parameters, determining radar graphs corresponding to the candidate addresses based on the target parameter values of the prediction parameters corresponding to the candidate addresses, determining the areas of the radar graphs, and determining the candidate address corresponding to the radar graph with the largest area in the radar graphs as the target address of the drilling platform. By adopting the method provided by the embodiment of the application, the target address of the drilling platform can be quantitatively determined.

Description

Method and device for determining target address of drilling platform

Technical Field

The application relates to the technical field of oil and gas well drilling, in particular to a method and a device for determining a target address of a drilling platform.

Background

In oil and gas drilling operations on land or at sea, it is necessary to build a land or sea drilling platform in order to support a drilling device weighing several hundred tons and to provide space for placing the drilling device. The position of the drilling platform is related to the stability and safety of the drilling platform, so that the position selection of the drilling platform is very important.

In the related art, the position selection technology of the drilling platform is as follows: the technician qualitatively analyzes prediction parameters corresponding to a plurality of candidate addresses for the drilling platform according to geological oil reservoir expertise, engineering expertise and actual drilling experience, wherein the prediction parameters refer to some situations where the drilling platform is expected to be established at a certain candidate address, for example, the prediction parameters can be the expected total advance rule, the ultra-high difficulty construction well number and the like, and then the target address is selected from the plurality of candidate addresses to serve as the position of the drilling platform.

In carrying out the application, the inventors have found that the prior art has at least the following problems:

In the method for determining the target address of the drilling platform in the related art, the position of the drilling platform can be determined by only qualitatively analyzing various prediction parameters, and the qualitative analysis requires that technicians possess enough geological oil reservoir expertise, engineering expertise and actual drilling experience, otherwise, the determined position of the drilling platform is difficult to reach the optimal position. Accordingly, there is a need in the art for a method that can quantitatively determine the target address of a drilling platform.

Disclosure of Invention

The embodiment of the application provides a method and a device for determining a target address of a drilling platform, which can solve the technical problems in the related art. The technical scheme of the method and the device for determining the target address of the drilling platform is as follows:

in a first aspect, there is provided a method of determining a target address of a drilling platform, the method comprising:

acquiring a plurality of candidate addresses of a drilling platform, and determining initial parameter values of prediction parameters corresponding to the candidate addresses;

For the initial parameter value of the prediction parameter corresponding to each candidate address, carrying out homodromous processing, normalization processing and nonlinear processing on the initial parameter value of the prediction parameter in sequence to obtain a target parameter value of the prediction parameter;

determining radar graphs corresponding to each candidate address based on target parameter values of prediction parameters corresponding to each candidate address, and determining the area of each radar graph;

And determining a candidate address corresponding to the radar map with the largest area in each radar map as a target address of the drilling platform.

Optionally, the prediction parameters comprise a predicted total footage, a minimum anti-collision separation coefficient, a predicted investment, the number of ultra-high difficulty construction wells, the number of azimuth drilling wells along the maximum ground stress and the boundary distance of the ocean red line area.

Optionally, the prediction parameters include a plurality of positive prediction parameters and a plurality of negative prediction parameters, the positive prediction parameters refer to prediction parameters that the magnitude of the initial parameter value is positively correlated with the area of the radar map, and the negative prediction parameters refer to prediction parameters that the magnitude of the initial parameter value is negatively correlated with the area of the radar map;

And for the initial parameter value of the prediction parameter corresponding to each candidate address, sequentially performing homodromous processing, normalization processing and nonlinear processing on the initial parameter value of the prediction parameter to obtain a target parameter value of the prediction parameter, wherein the method comprises the following steps:

For each forward prediction parameter, determining a homodromous processing value of the forward prediction parameter based on an initial parameter value of the forward prediction parameter corresponding to each candidate address and a _i＝A_i/A_max, wherein a _i is the homodromous processing value of the forward prediction parameter corresponding to the ith candidate address, A _i is the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, and A _max is the maximum initial parameter value in all initial parameter values of the forward prediction parameters corresponding to all candidate addresses;

For each negative prediction parameter, determining a homodromous processing value of the negative prediction parameter based on an initial parameter value of the negative prediction parameter corresponding to each candidate address and B _i＝1-B_i/B_max, wherein B _i is the homodromous processing value of the negative prediction parameter corresponding to the ith candidate address, B _i is the initial parameter value of the negative prediction parameter corresponding to the ith candidate address, and B _max is the maximum initial parameter value in all initial parameter values of the negative prediction parameters corresponding to all candidate addresses;

carrying out standardization processing on the homodromous processing value of each prediction parameter to obtain a standardization processing value of each prediction parameter;

and carrying out nonlinear processing on the standardized processing value of each prediction parameter to obtain a target parameter value of each prediction parameter.

Optionally, the determining the area of each radar map includes:

For each radar map corresponding to each candidate address, according to the formula Determining the area of the radar map corresponding to each candidate address, wherein S _i is the area of the radar map corresponding to the ith candidate address, C is the number of prediction parameters,/>And the target parameter value of the j-th prediction parameter corresponding to the i-th candidate address.

Optionally, after determining the radar chart corresponding to each candidate address, the method further includes:

and displaying the radar map corresponding to each candidate address.

In a second aspect, there is provided an apparatus for determining a target address of a drilling platform, the apparatus comprising:

The acquisition module is used for acquiring a plurality of candidate addresses of the drilling platform and determining initial parameter values of prediction parameters corresponding to the candidate addresses;

The processing module is used for sequentially carrying out homodromous processing, normalization processing and nonlinear processing on the initial parameter values of the prediction parameters corresponding to each candidate address to obtain target parameter values of the prediction parameters;

the calculation module is used for determining radar graphs corresponding to each candidate address based on target parameter values of the prediction parameters corresponding to each candidate address, and determining the area of each radar graph;

and the determining module is used for determining the candidate address corresponding to the radar map with the largest area in each radar map as the target address of the drilling platform.

The processing module is used for:

Optionally, the computing module is configured to:

Optionally, the device further includes a display module, configured to:

and displaying the radar map corresponding to each candidate address.

In a third aspect, a terminal is provided, which is characterized in that the terminal comprises a processor and a memory, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to realize the method for determining the target address of the drilling platform.

In a fourth aspect, a computer readable storage medium is provided, wherein at least one instruction is stored in the computer readable storage medium, and the at least one instruction is loaded and executed by a processor to implement the method for determining a target address of a drilling platform.

The technical scheme provided by the embodiment of the application has the beneficial effects that at least:

According to the method for determining the target address of the drilling platform, provided by the embodiment of the application, the initial parameter value of the prediction parameter corresponding to each candidate address is determined by acquiring a plurality of candidate addresses of the drilling platform, the initial parameter value of the prediction parameter corresponding to each candidate address is subjected to homodromous processing, standardized processing and nonlinear processing in sequence, the target parameter value of the prediction parameter is obtained, the radar map corresponding to each candidate address is determined based on the target parameter value of the prediction parameter corresponding to each candidate address, the area of each radar map is determined, and the candidate address corresponding to the radar map with the largest area in each radar map is determined as the target address of the drilling platform. According to the method provided by the embodiment of the application, the target address of the drilling platform can be quantitatively determined by calculating the area of the radar map corresponding to each candidate address and determining the candidate address corresponding to the radar map with the largest area as the target address.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method for determining a target address of a drilling platform according to an embodiment of the present application;

FIG. 2 is a flow chart of a method for determining a target address of a drilling platform according to an embodiment of the present application;

FIG. 3 is a schematic diagram of an apparatus for determining a target address of a drilling platform according to an embodiment of the present application;

Fig. 4 is a block diagram of a terminal according to an embodiment of the present application;

Fig. 5 is a comparison diagram of a radar chart corresponding to a candidate address according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.

The method provided by the embodiment of the application can be applied to the technical field of drilling of oil and gas wells, and is particularly used for determining the target address of the drilling platform. When a technician wants to determine a target address for a drilling platform, a plurality of candidate addresses for the drilling platform may be pre-selected and initial parameter values for the predicted parameters for each candidate address established for the drilling platform may be measured or calculated, e.g., how far from the ocean red area boundary the drilling platform would be if it were established at candidate address one. Then, the obtained candidate address and the initial parameter value of the prediction parameter corresponding to the candidate address can be stored, then, the terminal can acquire the data, and the target address of the drilling platform is selected from the plurality of candidate addresses by adopting the method provided by the embodiment of the application. Finally, the staff can build the drilling platform at the target address.

FIG. 1 is a flow chart of a method for determining a target address of a drilling platform according to an embodiment of the present application. Referring to fig. 1, this embodiment includes:

in step 101, a plurality of candidate addresses of the drilling platform are acquired, and initial parameter values of prediction parameters corresponding to the candidate addresses are determined.

In step 102, for the initial parameter value of the prediction parameter corresponding to each candidate address, the initial parameter value of the prediction parameter is subjected to the homodromous processing, the normalization processing and the nonlinear processing in sequence, so as to obtain the target parameter value of the prediction parameter.

In step 103, a radar map corresponding to each candidate address is determined based on the target parameter value of the prediction parameter corresponding to each candidate address, and the area of each radar map is determined.

In step 104, the candidate address corresponding to the radar map with the largest area in each radar map is determined as the target address of the drilling platform.

Fig. 2 is a flowchart of a method for determining a target address of a drilling platform according to an embodiment of the present application, referring to fig. 2, the embodiment includes:

In step 201, a plurality of candidate addresses of the drilling platform are acquired, and initial parameter values of prediction parameters corresponding to the candidate addresses are determined.

The prediction parameters refer to some situations where the drilling platform is expected to be established at a certain candidate address, including the prediction of a total advance rule, the minimum anti-collision separation coefficient, the prediction of investment, the number of ultra-high difficulty construction wells, the number of drilling wells along the azimuth of maximum ground stress and the boundary distance of a marine red line area. The estimated total footage refers to the estimated total depth of the drill bit, the minimum anti-collision separation coefficient refers to the minimum separation coefficient for preventing collision among directional wells, the ultra-high difficulty construction well number refers to the well number with the difficulty coefficient of being larger than 6.8 for designating well construction, the ground stress refers to the internal stress effect generated by earth crust substances due to geological structure movement, the greater the ground stress is, the higher the well collapse risk is, the number of drilling wells along the azimuth with the maximum ground stress refers to the drilling number with the azimuth corresponding to the maximum ground stress, and the ocean red line area boundary distance refers to the distance from the ocean development prohibition area boundary.

In the implementation, a technician may obtain a plurality of candidate addresses of the drilling platform in advance, measure prediction parameters corresponding to each candidate address, for example, a distance between each candidate address and a boundary of the ocean red line area, and input the obtained plurality of candidate addresses and the prediction parameters corresponding to the candidate addresses into a terminal respectively, so that each prediction parameter is stored in a position corresponding to the candidate address. The terminal can extract initial parameter values of the prediction parameters corresponding to each candidate address according to each candidate address of the drilling platform.

For example, candidate addresses for the following three drilling platforms may be obtained in advance:

Candidate address one and candidate address with least footage. The total footage is predicted to be 10.5 ten thousand meters, the anti-collision separation coefficient is minimum to be 1.2, the investment is predicted to be 12 hundred million RMB, the number of ultra-high-difficulty construction wells is 8, 10 wells are drilled along the azimuth of the maximum ground stress, and the distance from the boundary of the ocean red line area is 1.2Km.

Candidate address two, the candidate address that the drilling degree of difficulty minimum corresponds. The total feeding ruler is expected to be 11.8 ten thousand meters, the anti-collision separation coefficient is minimum to be 1.4, the investment is predicted to be 12.8 hundred million RMB, the number of construction wells is 2, 8 wells are drilled along the azimuth of the maximum ground stress, and the distance from the boundary of the ocean red line area is 2Km.

Candidate address three, the candidate address corresponding to the minimum drilling risk. The total footage is expected to be 12.2 ten thousand meters, the anti-collision separation coefficient is minimum to be 1.15, the investment is predicted to be 13.0 hundred million RMB, the number of construction wells is 4, 2 wells are drilled along the azimuth of the maximum ground stress, and the distance from the boundary of the ocean red line area is 2.5Km.

In step 202, for the initial parameter value of the prediction parameter corresponding to each candidate address, the initial parameter value of the prediction parameter is subjected to the homodromous processing, so as to obtain the homodromous processing value of the prediction parameter.

Wherein the prediction parameters include a positive prediction parameter and a negative prediction parameter. The forward prediction parameter refers to a prediction parameter of positive correlation between the magnitude of an initial parameter value and the area of a radar chart, that is, under the condition that other prediction parameters are certain, the larger the value is, the better the corresponding candidate address is, such as a minimum anti-collision separation coefficient, a boundary distance of a marine red line area and the like. The negative prediction parameters refer to prediction parameters of which the magnitude of the initial parameter value is inversely related to the area of the radar chart, namely under the condition that other prediction parameters are certain, the smaller the value is, the better the candidate address is, such as the predicted total footage, the predicted investment, the number of ultra-high-difficulty construction wells and the like. The orthogonalization processing means that the numerical value of the prediction parameter is orthogonalized, so that the larger the numerical value of the orthogonalization processing value is, the better the corresponding candidate address is, regardless of the positive prediction parameter or the negative prediction parameter.

In an implementation, for each forward prediction parameter, a value of a co-ordination process for the forward prediction parameter is determined based on the initial parameter value of the forward prediction parameter corresponding to each candidate address and a _i＝A_i/A_max. Wherein a _i is the corotation processing value of the forward prediction parameter corresponding to the ith candidate address, a _i is the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, and a _max is the maximum initial parameter value of all the initial parameter values of the forward prediction parameters corresponding to all the candidate addresses. For each negative prediction parameter, determining the homodromous processing value of the negative prediction parameter based on the initial parameter value of the negative prediction parameter corresponding to each candidate address and b _i＝1-B_i/B_max. Wherein B _i is the corotation processing value of the negative prediction parameter corresponding to the ith candidate address, B _i is the initial parameter value of the negative prediction parameter corresponding to the ith candidate address, and B _max is the largest initial parameter value among all the initial parameter values of the negative prediction parameters corresponding to all the candidate addresses. Thereby obtaining the homodromous processing value of the prediction parameter corresponding to each candidate address.

For example, table 1 shows initial parameter values of the prediction parameters corresponding to each candidate address, as shown in table 1.

TABLE 1

Influencing factors	Candidate address one	Candidate address two	Candidate address three
				Predicting total footage, ten thousand meters	10.5	11.8	12.2
Minimum anti-collision separation coefficient	1.2	1.4	1.15
				Investment prediction, hundred million yuan	12	12.8	13
Ultra-high difficulty construction well number and mouth	8	2	4
				Drilling number, port along maximum ground stress azimuth	10	8	2
Boundary distance, km, of ocean red line area	1.2	2	2.5

In step 203, normalization processing is performed on the homodromous processing value of each prediction parameter, so as to obtain a normalized processing value of each prediction parameter.

The normalization process is to scale the prediction parameters to fall into a small specific interval, so as to eliminate the size difference between the prediction parameters.

In practice, for each prediction parameter, the sum of the processed values of the prediction parameters corresponding to each candidate address is processed based on the same directionNormalized processing values of the predicted parameters are determined. Wherein x _i is the homodromous processing value of the predicted parameter corresponding to the ith candidate address, y _i is the standardized processing value of the predicted parameter corresponding to the ith candidate address, E (x _i) is the average value of all the homodromous processing values of the predicted parameter, and sigma (x _i) is the standard deviation of all the homodromous processing values of the predicted parameter.

For example, after all the initial parameter values of the forward prediction parameters corresponding to the three candidate addresses are subjected to the orthotropic processing, the obtained orthotropic processing values may be as shown in table 2.

TABLE 2

After all the initial parameter values of the negative prediction parameters corresponding to the three candidate addresses are subjected to the homodromous processing, the obtained homodromous processing values can be shown in table 3.

TABLE 3 Table 3

In step 204, the normalized processing value of each predicted parameter is non-linearly processed to obtain a target parameter value for each predicted parameter.

The nonlinear processing refers to a process of performing nonlinear transformation through a nonlinear function, and data after nonlinear processing can be represented by a two-dimensional graph.

In practice, for each prediction parameter, the normalized processed value sum of the prediction parameter corresponding to each candidate address is based onCan also be expressed as/>A target parameter value of the predicted parameter is determined. Wherein z _i is a target parameter value of the prediction parameter corresponding to the i-th candidate address, and y _i is a normalized processing value of the prediction parameter corresponding to the i-th candidate address.

In step 205, a radar map corresponding to each candidate address is determined based on the target parameter value of the prediction parameter corresponding to each candidate address, and the area of each radar map is determined.

The radar chart is a graph showing multidimensional data in a two-dimensional form, the data quantity of multiple dimensions is mapped onto coordinate axes, the coordinate axes start from the same center point and usually end at the circumferential edge, and the radar chart is formed by connecting the same group of points.

In implementation, after the target parameter value of the prediction parameter corresponding to each candidate address is obtained, the number of the prediction parameters corresponding to the candidate addresses can be used as the number of coordinate axes of the radar chart, each prediction parameter corresponds to one coordinate axis, the coordinate axes have the same circle centers, are arranged along the radial direction at the same intervals, and the scales of the coordinate axes are the same. The data points on the coordinate axes are connected by lines to form a polygon, the coordinate axes, the points, the lines and the polygons form a radar map together, and the radar map corresponding to each candidate address is displayed on a display screen of the terminal. For each candidate address-corresponding radar map, a target parameter value sum based on the prediction parameter corresponding to each candidate addressAnd determining the radar map area corresponding to each candidate address. Wherein S _i is the area of the radar map corresponding to the ith candidate address, C is the number of prediction parameters,/>And the target parameter value of the j-th prediction parameter corresponding to the i-th candidate address.

For example, after normalization processing is performed on all the normalization processing values of the prediction parameters corresponding to the three candidate addresses, the obtained normalization processing values may be as shown in table 4.

TABLE 4 Table 4

The radar chart corresponding to each candidate address may be as shown in fig. 5, where fig. 5 includes radar charts corresponding to a candidate address one, a candidate address two, and a candidate address three, and each coordinate axis has a consistent unit. The radar map corresponding to the broken line is a radar map corresponding to a candidate address one, the radar map corresponding to the broken line in the map is a radar map corresponding to a candidate address two, and the radar map corresponding to the connecting line in the map is a radar map corresponding to a candidate address three.

The target parameter values obtained after nonlinear processing is performed on the normalized processing values of the prediction parameters corresponding to the three candidate addresses can be shown in table 5.

TABLE 5

After the radar graphs corresponding to the three candidate addresses are obtained, the radar graph area calculation can be performed by using a formula, and the radar graph area corresponding to each candidate address can be obtained as shown in table 6.

TABLE 6

Candidate addresses	Candidate address one	Candidate address two	Candidate address three
				Radar pattern area	2.10	3.19	2.40

In step 206, the candidate address corresponding to the radar chart with the largest area in each radar chart is determined as the target address of the drilling platform.

The larger the radar map area is, the optimal corresponding candidate address is.

In implementation, after the terminal calculates the area of the radar map corresponding to each candidate address, the candidate address corresponding to the radar map with the largest area is used as the target address of the drilling platform.

For example, after the terminal calculates the area of the radar map corresponding to each candidate address, the candidate address corresponding to the radar map with the largest area in each radar map is used as the target address of the drilling platform. From table 6, it can be known that the radar map area corresponding to the candidate address two is the largest, so the candidate address two is used as the target address of the drilling platform.

Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein.

Based on the same technical concept, the embodiment of the present application further provides a device for determining a target address of a drilling platform, where the device may be a terminal in the foregoing embodiment, as shown in fig. 3, and the device includes:

the acquiring module 301 is configured to acquire a plurality of candidate addresses of the drilling platform, and determine initial parameter values of prediction parameters corresponding to the candidate addresses;

The processing module 302 is configured to sequentially perform, for an initial parameter value of the prediction parameter corresponding to each candidate address, a homodromous process, a normalization process, and a nonlinear process on the initial parameter value of the prediction parameter, to obtain a target parameter value of the prediction parameter;

a calculation module 303, configured to determine a radar map corresponding to each candidate address based on the target parameter value of the prediction parameter corresponding to each candidate address, and determine an area of each radar map;

and the determining module 304 is configured to determine a candidate address corresponding to the radar chart with the largest area in each radar chart as a target address of the drilling platform.

Optionally, the predicted parameters include predicted total footage, minimum anti-collision separation coefficient, predicted investment, number of ultra-high difficulty construction wells, number of wells drilled along the azimuth of maximum ground stress, and ocean red line zone boundary distance.

Optionally, the prediction parameters include a plurality of positive prediction parameters and a plurality of negative prediction parameters, the positive prediction parameters refer to the prediction parameters that the magnitude of the initial parameter value is positively correlated with the area of the radar map, and the negative prediction parameters refer to the prediction parameters that the magnitude of the initial parameter value is negatively correlated with the area of the radar map;

a processing module 302, configured to:

for each forward prediction parameter, determining a homodromous processing value of the forward prediction parameter based on the initial parameter value of the forward prediction parameter corresponding to each candidate address and a _i＝A_i/A_max, wherein a _i is the homodromous processing value of the forward prediction parameter corresponding to the ith candidate address, A _i is the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, and A _max is the maximum initial parameter value in all initial parameter values of the forward prediction parameters corresponding to all candidate addresses;

For each negative prediction parameter, determining a corotation processing value of the negative prediction parameter based on an initial parameter value of the negative prediction parameter corresponding to each candidate address and B _i＝1-B_i/B_max, wherein B _i is the corotation processing value of the negative prediction parameter corresponding to the ith candidate address, B _i is the initial parameter value of the negative prediction parameter corresponding to the ith candidate address, and B _max is the maximum initial parameter value of all initial parameter values of the negative prediction parameters corresponding to all candidate addresses;

Optionally, the calculating module 303 is configured to:

Optionally, the apparatus further comprises a display module for:

and displaying the radar map corresponding to each candidate address.

The device for determining the target address of the drilling platform provided by the embodiment of the application is characterized in that a plurality of candidate addresses of the drilling platform are obtained, initial parameter values of prediction parameters corresponding to each candidate address are determined, the initial parameter values of the prediction parameters corresponding to each candidate address are subjected to homodromous processing, normalization processing and nonlinear processing in sequence, the target parameter values of the prediction parameters are obtained, radar maps corresponding to each candidate address are determined based on the target parameter values of the prediction parameters corresponding to each candidate address, the area of each radar map is determined, and the candidate address corresponding to the radar map with the largest area in each radar map is determined as the target address of the drilling platform. The device provided by the embodiment of the application can quantitatively determine the target address of the drilling platform by calculating the area of the radar map corresponding to each candidate address and determining the candidate address corresponding to the radar map with the largest area as the target address, and further, the device provided by the embodiment of the application can quantitatively determine the target address of the drilling platform, thereby reducing the requirements on professional knowledge and practical drilling experience of technicians.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

It should be noted that: the apparatus for determining a target address of a drilling platform provided in the foregoing embodiment is only exemplified by the division of the foregoing functional modules when determining the target address of the drilling platform, and in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the computer device is divided into different functional modules, so as to perform all or part of the functions described above. In addition, the device for determining the target address of the drilling platform provided in the foregoing embodiment belongs to the same concept as the method embodiment for determining the target address of the drilling platform, and the specific implementation process of the device is detailed in the method embodiment, which is not described herein again.

Fig. 4 is a block diagram of a terminal 400 according to an embodiment of the present application. The terminal 400 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. The terminal 400 may also be referred to by other names as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

In general, the terminal 400 includes: a processor 401 and a memory 402.

Processor 401 may include one or more processing cores such as a 4-core processor, an 8-core processor, etc. The processor 401 may be implemented in at least one hardware form of DSP (DIGITAL SIGNAL Processing), FPGA (Field-Programmable gate array), PLA (Programmable Logic Array ). Processor 401 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 401 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 401 may also include an AI (ARTIFICIAL INTELLIGENCE ) processor for processing computing operations related to machine learning.

Memory 402 may include one or more computer-readable storage media, which may be non-transitory. Memory 402 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 402 is used to store at least one instruction for execution by processor 401 to implement the method of determining a target address for a drilling platform provided by an embodiment of the method of the present application.

In some embodiments, the terminal 400 may further optionally include: a peripheral interface 403 and at least one peripheral. The processor 401, memory 402, and peripheral interface 403 may be connected by a bus or signal line. The individual peripheral devices may be connected to the peripheral device interface 403 via buses, signal lines or a circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 404, a touch display 405, a camera 406, audio circuitry 407, a positioning component 408, and a power supply 409.

Peripheral interface 403 may be used to connect at least one Input/Output (I/O) related peripheral to processor 401 and memory 402. In some embodiments, processor 401, memory 402, and peripheral interface 403 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 401, memory 402, and peripheral interface 403 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.

The Radio Frequency circuit 404 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 404 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 404 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 404 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 404 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (WIRELESS FIDELITY ) networks. In some embodiments, the radio frequency circuit 404 may further include NFC (NEAR FIELD Communication) related circuits, which is not limited by the present application.

The display screen 405 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 405 is a touch display screen, the display screen 405 also has the ability to collect touch signals at or above the surface of the display screen 405. The touch signal may be input as a control signal to the processor 401 for processing. At this time, the display screen 405 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 405 may be one, providing a front panel of the terminal 400; in other embodiments, the display 405 may be at least two, and disposed on different surfaces of the terminal 400 or in a folded design; in still other embodiments, the display 405 may be a flexible display disposed on a curved surface or a folded surface of the terminal 400. Even more, the display screen 405 may be arranged in an irregular pattern that is not rectangular, i.e. a shaped screen. The display screen 405 may be made of materials such as an LCD (Liquid CRYSTAL DISPLAY) and an OLED (Organic Light-Emitting Diode).

The camera assembly 406 is used to capture images or video. Optionally, camera assembly 406 includes a front camera and a rear camera. Typically, the front camera is disposed on the front panel of the terminal and the rear camera is disposed on the rear surface of the terminal. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 406 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.

The audio circuit 407 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and environments, converting the sound waves into electric signals, and inputting the electric signals to the processor 401 for processing, or inputting the electric signals to the radio frequency circuit 404 for realizing voice communication. For the purpose of stereo acquisition or noise reduction, a plurality of microphones may be respectively disposed at different portions of the terminal 400. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 401 or the radio frequency circuit 404 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, audio circuit 407 may also include a headphone jack.

The location component 408 is used to locate the current geographic location of the terminal 400 to enable navigation or LBS (Location Based Service, location-based services). The positioning component 408 may be a positioning component based on the United states GPS (Global Positioning System ), the Beidou system of China, the Granati system of Russia, or the Galileo system of the European Union.

The power supply 409 is used to power the various components in the terminal 400. The power supply 409 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When power supply 409 comprises a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the terminal 400 further includes one or more sensors 410. The one or more sensors 410 include, but are not limited to: acceleration sensor 411, gyroscope sensor 412, pressure sensor 413, fingerprint sensor 414, optical sensor 415, and proximity sensor 416.

The acceleration sensor 411 may detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal 400. For example, the acceleration sensor 411 may be used to detect components of gravitational acceleration on three coordinate axes. The processor 401 may control the touch display screen 405 to display a user interface in a lateral view or a longitudinal view according to the gravitational acceleration signal acquired by the acceleration sensor 411. The acceleration sensor 411 may also be used for the acquisition of motion data of a game or a user.

The gyro sensor 412 may detect a body direction and a rotation angle of the terminal 400, and the gyro sensor 412 may collect a 3D motion of the user to the terminal 400 in cooperation with the acceleration sensor 411. The processor 401 may implement the following functions according to the data collected by the gyro sensor 412: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.

The pressure sensor 413 may be disposed at a side frame of the terminal 400 and/or at a lower layer of the touch display 405. When the pressure sensor 413 is disposed at a side frame of the terminal 400, a grip signal of the terminal 400 by a user may be detected, and the processor 401 performs a left-right hand recognition or a shortcut operation according to the grip signal collected by the pressure sensor 413. When the pressure sensor 413 is disposed at the lower layer of the touch display screen 405, the processor 401 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 405. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

The fingerprint sensor 414 is used to collect a fingerprint of the user, and the processor 401 identifies the identity of the user based on the fingerprint collected by the fingerprint sensor 414, or the fingerprint sensor 414 identifies the identity of the user based on the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the user is authorized by the processor 401 to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 414 may be provided on the front, back or side of the terminal 400. When a physical key or vendor Logo is provided on the terminal 400, the fingerprint sensor 414 may be integrated with the physical key or vendor Logo.

The optical sensor 415 is used to collect the ambient light intensity. In one embodiment, the processor 401 may control the display brightness of the touch display screen 405 according to the ambient light intensity collected by the optical sensor 415. Specifically, when the intensity of the ambient light is high, the display brightness of the touch display screen 405 is turned up; when the ambient light intensity is low, the display brightness of the touch display screen 405 is turned down. In another embodiment, the processor 401 may also dynamically adjust the shooting parameters of the camera assembly 406 according to the ambient light intensity collected by the optical sensor 415.

A proximity sensor 416, also referred to as a distance sensor, is typically provided on the front panel of the terminal 400. The proximity sensor 416 is used to collect the distance between the user and the front of the terminal 400. In one embodiment, when the proximity sensor 416 detects a gradual decrease in the distance between the user and the front face of the terminal 400, the processor 401 controls the touch display 405 to switch from the bright screen state to the off screen state; when the proximity sensor 416 detects that the distance between the user and the front surface of the terminal 400 gradually increases, the processor 401 controls the touch display screen 405 to switch from the off-screen state to the on-screen state.

Those skilled in the art will appreciate that the structure shown in fig. 4 is not limiting of the terminal 400 and may include more or fewer components than shown, or may combine certain components, or may employ a different arrangement of components.

In an exemplary embodiment, a computer readable storage medium, such as a memory comprising instructions executable by a processor in a terminal to perform the method of determining a target address of a drilling platform of the above embodiments is also provided. For example, the computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.

Claims

1. A method of determining a target address for a drilling platform, the method comprising:

Acquiring a plurality of candidate addresses of a drilling platform, and determining initial parameter values of prediction parameters corresponding to the candidate addresses, wherein the prediction parameters comprise a plurality of positive prediction parameters and a plurality of negative prediction parameters, the positive prediction parameters refer to the prediction parameters of which the magnitude of the initial parameter values is positively correlated with the area of a radar map, and the negative prediction parameters refer to the prediction parameters of which the magnitude of the initial parameter values is negatively correlated with the area of the radar map;

For each forward prediction parameter, determining a homodromous processing value of the forward prediction parameter based on an initial parameter value of the forward prediction parameter corresponding to each candidate address and a _i＝A_i/A_max, wherein a _i is the homodromous processing value of the forward prediction parameter corresponding to the ith candidate address, A _i is the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, and A _max is the maximum initial parameter value in all initial parameter values of the forward prediction parameters corresponding to all candidate addresses; for each negative prediction parameter, determining a homodromous processing value of the negative prediction parameter based on an initial parameter value of the negative prediction parameter corresponding to each candidate address and B _i＝1-B_i/B_max, wherein B _i is the homodromous processing value of the negative prediction parameter corresponding to the ith candidate address, B _i is the initial parameter value of the negative prediction parameter corresponding to the ith candidate address, and B _max is the maximum initial parameter value in all initial parameter values of the negative prediction parameters corresponding to all candidate addresses; carrying out standardization processing on the homodromous processing value of each prediction parameter to obtain a standardization processing value of each prediction parameter; nonlinear processing is carried out on the standardized processing value of each prediction parameter, and a target parameter value of each prediction parameter is obtained;

2. The method of claim 1, wherein the predicted parameters include predicted total footage, minimum anti-collision separation factor, predicted investment, number of ultra-high difficulty construction wells, number of wells drilled along the greatest ground stress azimuth, and ocean red line zone boundary distance.

3. The method of claim 1, wherein the determining the area of each radar map comprises:

4. The method of claim 1, wherein after determining the radar map corresponding to each candidate address, further comprising:

and displaying the radar map corresponding to each candidate address.

5. An apparatus for determining a target address for a drilling platform, the apparatus comprising:

the system comprises an acquisition module, a prediction module and a prediction module, wherein the acquisition module is used for acquiring a plurality of candidate addresses of a drilling platform and determining initial parameter values of prediction parameters corresponding to the candidate addresses, the prediction parameters comprise a plurality of positive prediction parameters and a plurality of negative prediction parameters, the positive prediction parameters refer to the prediction parameters of which the magnitude of the initial parameter values is positively related to the area of a radar map, and the negative prediction parameters refer to the prediction parameters of which the magnitude of the initial parameter values is negatively related to the area of the radar map;

A processing module, configured to determine, for each forward prediction parameter, a processed value of the forward prediction parameter based on an initial parameter value of the forward prediction parameter corresponding to each candidate address and a _i＝A_i/A_max, where a _i is the processed value of the forward prediction parameter corresponding to the i-th candidate address, a _i is the initial parameter value of the forward prediction parameter corresponding to the i-th candidate address, and a _max is the largest initial parameter value of all initial parameter values of the forward prediction parameters corresponding to all candidate addresses; for each negative prediction parameter, determining a homodromous processing value of the negative prediction parameter based on an initial parameter value of the negative prediction parameter corresponding to each candidate address and B _i＝1-B_i/B_max, wherein B _i is the homodromous processing value of the negative prediction parameter corresponding to the ith candidate address, B _i is the initial parameter value of the negative prediction parameter corresponding to the ith candidate address, and B _max is the maximum initial parameter value in all initial parameter values of the negative prediction parameters corresponding to all candidate addresses; carrying out standardization processing on the homodromous processing value of each prediction parameter to obtain a standardization processing value of each prediction parameter; nonlinear processing is carried out on the standardized processing value of each prediction parameter, and a target parameter value of each prediction parameter is obtained;

6. The apparatus of claim 5, wherein the predicted parameters include predicted total footage, minimum anti-collision separation factor, predicted investment, number of ultra-high difficulty construction wells, number of wells drilled along the greatest earth stress azimuth, and ocean red line zone boundary distance.

7. The apparatus of claim 5, wherein the computing module is configured to:

8. The apparatus of claim 5, further comprising a display module configured to:

and displaying the radar map corresponding to each candidate address.