CN112686942A

CN112686942A - Method and device for determining target address of drilling platform

Info

Publication number: CN112686942A
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
Priority date: 2019-10-17
Filing date: 2019-10-17
Publication date: 2021-04-20
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: the method comprises the steps of obtaining a plurality of candidate addresses of a drilling platform, determining initial parameter values of prediction parameters established by the drilling platform at the candidate addresses, sequentially carrying out homography processing, standardization processing and nonlinear processing on the initial parameter values of the prediction parameters corresponding to the candidate addresses to obtain target parameter values of the prediction parameters, determining radar maps 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 maps, and determining the candidate address corresponding to the radar map with the largest area in the radar maps 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 construction on land or at sea, in order to support a drilling device weighing several hundred tons and provide a space for placing the drilling device, it is necessary to establish a land or offshore drilling platform. The position of the drilling platform is related to the stability and safety of the drilling platform, so 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 technical personnel qualitatively analyze the prediction parameters corresponding to the drilling platform established at a plurality of candidate addresses from the aspects of reducing investment and risk according to the geological oil deposit professional knowledge, engineering professional knowledge and actual drilling experience, wherein the prediction parameters refer to some situations which are expected to occur when the drilling platform is established at a certain candidate address, for example, the prediction parameters can be the expected total advancing distance, the number of construction wells with ultrahigh difficulty and the like, and then, a target address is selected from the plurality of candidate addresses to be used as the position of the drilling platform.

In the process of implementing the present application, the inventor finds 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 technology, the position of the drilling platform can be determined only by qualitatively analyzing various prediction parameters, and the qualitative analysis requires that a technician has enough geological reservoir professional knowledge, engineering professional knowledge and actual drilling experience, otherwise, the determined position of the drilling platform is difficult to achieve the optimal position. Therefore, there is a need in the art for a method for quantitatively determining a target address of a drilling rig.

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 drilling rig target address, the method comprising:

obtaining 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, sequentially carrying out homodromous processing, standardization processing and nonlinear processing on the initial parameter value of the prediction parameter to obtain a target parameter value of the prediction parameter;

determining a radar map corresponding to each candidate address based on the target parameter value of the prediction parameter corresponding to each candidate address, and determining the area of each radar map;

and 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.

Optionally, the prediction parameters include a predicted total footage, a minimum anti-collision separation coefficient, a predicted investment, the number of ultra-high difficulty construction wells, the number of wells drilled in a maximum ground stress azimuth, and a boundary distance of an 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 in which the size of the initial parameter value is positively correlated with the area of the radar map, and the negative prediction parameters refer to prediction parameters in which the size of the initial parameter value is negatively correlated with the area of the radar map;

the step of sequentially carrying out syntropy processing, standardization processing and nonlinear processing on the initial parameter values of the prediction parameters corresponding to each candidate address to obtain the target parameter values of the prediction parameters comprises the following steps:

for each forward prediction parameter, based on the corresponding forward prediction parameter for each candidate addressInitial parameter value and a_i＝A_i/A_maxDetermining a syntonized value of the forward prediction parameter, wherein a_iFor the syntropy processed value of said forward prediction parameter corresponding to the ith candidate address, A_iIs the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, A_maxThe maximum initial parameter value 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, based on the initial parameter value b of the negative prediction parameter corresponding to each candidate address_i＝1-B_i/B_maxDetermining a syntropy processed value of the negative prediction parameter, wherein b_iFor the homodromous processed value of the negative prediction parameter corresponding to the i-th candidate address, B_iIs the initial parameter value of the negative prediction parameter corresponding to the ith candidate address, B_maxThe maximum initial parameter value is the maximum initial parameter value in all initial parameter values of the negative prediction parameters corresponding to all candidate addresses;

standardizing the homodromous processing value of each prediction parameter to obtain a standardized 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 the candidate address, according to the formula

Determining the area of the radar map corresponding to each candidate address, wherein S_iIs the area of the radar map corresponding to the ith candidate address, C is the number of the prediction parameters,

and the target parameter value of the jth prediction parameter corresponding to the ith candidate address is obtained.

Optionally, after determining the radar map 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 rig, the apparatus comprising:

the system comprises an acquisition module, a storage module and a control 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 processing module is used for sequentially carrying out syntropy processing, standardization processing and nonlinear processing on the initial parameter value of the prediction parameter corresponding to each candidate address to obtain a target parameter value of the prediction parameter;

the calculation module is used for determining a radar map corresponding to each candidate address and determining the area of each radar map based on the target parameter value of the prediction parameter corresponding to each candidate address;

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 configured to:

for each forward prediction parameter, based on the initial parameter value and a of the forward prediction parameter corresponding to each candidate address_i＝A_i/A_maxDetermining a syntonized value of the forward prediction parameter, wherein a_iFor the syntropy processed value of said forward prediction parameter corresponding to the ith candidate address, A_iIs the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, A_maxThe maximum initial parameter value is the maximum initial parameter value in all initial parameter values of the forward prediction parameters corresponding to all candidate addresses;

Optionally, the calculating module is configured to:

Optionally, the apparatus further comprises a display module, configured to:

and displaying the radar map corresponding to each candidate address.

In a third aspect, a terminal is provided, which includes a processor and a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the method for determining a target address of a 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 described above.

The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:

according to the method for determining the target address of the drilling platform, the initial parameter values of the prediction parameters corresponding to the candidate addresses are determined by obtaining the candidate addresses of the drilling platform, the initial parameter values of the prediction parameters corresponding to the candidate addresses are subjected to homography processing, standardization processing and nonlinear processing in sequence, the target parameter values of the prediction parameters are obtained, the radar map corresponding to each candidate address is 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 to be the target address of the drilling platform. According to the method provided by the embodiment of the application, the area of the radar map corresponding to each candidate address is calculated, the candidate address corresponding to the radar map with the largest area is determined as the target address, the target address of the drilling platform can be quantitatively determined, and further, the method for quantitatively determining the target address of the drilling platform is provided by the embodiment of the application, so that the requirements on professional knowledge and actual drilling experience of technicians are reduced.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

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

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

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

fig. 4 is a block diagram of a terminal according to an embodiment of the present disclosure;

fig. 5 is a comparison diagram of a radar map corresponding to a candidate address provided in an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The method provided by the embodiment of the application can be applied to the technical field of oil and gas well drilling, and is particularly used for determining the target address of a drilling platform. When the technician wants to determine the target address of the drilling platform, a plurality of candidate addresses of the drilling platform may be pre-selected, and initial parameter values of the prediction parameters corresponding to the drilling platform established at each candidate address are measured or calculated, for example, how far the drilling platform is from the boundary of the red ocean line if the drilling platform is established at the first candidate address is measured. 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 obtain the data, and the target address of the drilling platform is selected from the candidate addresses by adopting the method provided by the embodiment of the application. Finally, the crew can establish the rig at the target location.

Fig. 1 is a flowchart of a method for determining a target address of a drilling rig according to an embodiment of the present disclosure. Referring to fig. 1, the embodiment includes:

in step 101, a plurality of candidate addresses of a drilling platform are obtained, and initial parameter values of a predicted parameter corresponding to each candidate address 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 sequentially subjected to the homography processing, the standardization processing and the nonlinear processing 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 disclosure, and referring to fig. 2, the embodiment includes:

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

The prediction parameters refer to some situations which are expected to occur when the drilling platform is established at a certain candidate address, and include a predicted total footage, a minimum anti-collision separation coefficient, a predicted investment, the number of ultra-high-difficulty construction wells, the number of drilling wells along a maximum ground stress azimuth and an ocean red line zone boundary distance. The estimated total footage refers to the estimated total depth drilled by a drill bit, the minimum anti-collision separation coefficient refers to the minimum separation coefficient for preventing collision among directional wells, the number of ultra-high difficulty construction wells refers to the number of wells with the difficulty coefficient of the directional well construction being larger than 6.8, the ground stress refers to the internal stress effect generated by earth crust materials due to the movement of a geological structure, the higher the ground stress is, the higher the risk of well collapse is, the number of wells drilled along the maximum ground stress position refers to the number of wells drilled at the maximum corresponding position of the ground stress, and the distance between the boundary of a marine red line area and the boundary of a marine development forbidden area is distance.

In implementation, a technician may obtain a plurality of candidate addresses of the drilling platform in advance, measure a prediction parameter corresponding to each candidate address, such as a boundary distance of a red ocean line region, measure a distance between each candidate address and the boundary of the red ocean line region, and input the obtained plurality of candidate addresses and the prediction parameters corresponding thereto into the terminal, respectively, so that each prediction parameter is stored in a position corresponding to the corresponding candidate address. And 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, the following three drilling platform candidate addresses may be obtained in advance:

and the candidate address I and the candidate address corresponding to the least footage. The total footage is estimated to be 10.5 kilometers, the minimum collision prevention separation coefficient is 1.2, the investment is 12 hundred million RMB, 8 ultrahigh-difficulty construction wells are predicted, 10 wells are drilled along the maximum ground stress direction, and the distance from the boundary of an ocean red line area is 1.2 Km.

And the candidate address II is the candidate address corresponding to the minimum drilling difficulty. The total footage is estimated to be 11.8 kilometers, the minimum collision prevention separation coefficient is 1.4, the investment is 12.8 hundred million RMB, the number of super-high difficulty construction wells is 2, 8 wells are drilled along the maximum ground stress direction, and the distance from the boundary of an ocean red line area is 2 Km.

And the candidate address III is the candidate address corresponding to the minimum drilling risk. The total footage is estimated to be 12.2 kilometers, the minimum collision prevention separation coefficient is 1.15, the investment is predicted to be 13.0 hundred million RMB, 4 wells are constructed in an ultrahigh difficulty construction well, 2 wells are drilled along the maximum ground stress direction, and the distance from the boundary of an ocean red line area is 2.5 Km.

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 homonymization processing, so as to obtain the homonymization processing value of the prediction parameter.

The prediction parameters comprise positive prediction parameters and negative prediction parameters. The forward prediction parameter refers to a prediction parameter in which the size of the initial parameter value is positively correlated with the area of the radar map, that is, under the condition that other prediction parameters are fixed, the larger the value is, the better the prediction parameter is, the better the candidate address is, such as the minimum anti-collision separation coefficient, the boundary distance of the ocean red line area, and the like. The negative prediction parameters refer to prediction parameters with the size of the initial parameter values negatively correlated with the area of the radar map, namely, under the condition that other prediction parameters are fixed, the smaller the numerical value is, the better the corresponding candidate address is, such as the predicted total footage, the predicted investment, the number of ultrahigh-difficulty construction wells and the like. The homologation processing means that the numerical values of the prediction parameters are homologized, so that whether the prediction parameters are positive prediction parameters or negative prediction parameters, the larger the numerical value of the homologation processing value is, the better the corresponding candidate address is.

In implementation, for each forward prediction parameter, based on the initial parameter value and a of the forward prediction parameter corresponding to each candidate address_i＝A_i/A_maxAnd determining a syntropy processing value of the forward prediction parameter. Wherein, a_iFor the syntropy processed value of the forward prediction parameter corresponding to the ith candidate address, A_iIs the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, A_maxThe maximum initial parameter value in all the initial parameter values of the forward prediction parameters corresponding to all the candidate addresses is used. For each negative prediction parameter, based on the initial parameter value and b of the negative prediction parameter corresponding to each candidate address_i＝1-B_i/B_maxAnd determining the homodromous processing value of the negative prediction parameter. Wherein, b_iFor the homodromous processing value of the negative prediction parameter corresponding to the ith candidate address, B_iIs the ithInitial parameter values of negative predictive parameters corresponding to the candidate addresses, B_maxAnd the maximum initial parameter value in all the initial parameter values of the negative prediction parameters corresponding to all the candidate addresses is obtained. And acquiring the homodromous processing value of the prediction parameter corresponding to each candidate address.

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

TABLE 1

Influencing factor	Candidate address one	Candidate address two	Candidate address three
				Estimated total footage in ten thousand meters	10.5	11.8	12.2
Minimum anti-collision separation coefficient	1.2	1.4	1.15
				Forecast investment of hundred million yuan	12	12.8	13
Number and mouth of ultrahigh-difficulty construction wells	8	2	4
				Drilling number and hole along maximum ground stress azimuth	10	8	2
Boundary distance of ocean red line region, km	1.2	2	2.5

In step 203, the normalization processing value of each prediction parameter is normalized to obtain a normalization processing value of each prediction parameter.

The normalization process is to scale the prediction parameters to a small specific interval to eliminate the size difference between the prediction parameters.

In implementation, for each prediction parameter, the sum of the homographic processing values of the prediction parameters corresponding to each candidate address is used as the basis

A normalized value of the prediction parameter is determined. Wherein x is_iFor the co-directional processed value, y, of the prediction parameter corresponding to the i-th candidate address_iFor the normalized value of the prediction parameter corresponding to the i-th candidate address, E (x)_i) Is the average of all the homologated processing values of the prediction parameter, σ (x)_i) The standard deviation of all the syntropized values for the prediction parameter.

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

TABLE 2

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

TABLE 3

In step 204, the normalized values of each prediction parameter are subjected to nonlinear processing to obtain a target parameter value of each prediction parameter.

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

In implementation, for each prediction parameter, based on the normalized sum of the prediction parameter values corresponding to each candidate address

Can also be expressed as

Target parameter values for the predicted parameters are determined. Wherein z is_iTarget parameter value, y, of the prediction parameter corresponding to the i-th candidate address_iThe normalized value of the prediction parameter corresponding to the ith 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 map is a graph showing multidimensional data in a two-dimensional form, data quantities of multiple dimensions are mapped on coordinate axes, the coordinate axes start from the same central point and usually end at the circumferential edge, and the radar map is formed by connecting points of the same group.

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 address may be used as the number of coordinate axes of the radar map, each prediction parameter corresponds to one coordinate axis, the coordinate axes have the same center of a circle, are arranged along the radial direction at the same interval, and have the same scale on each coordinate axis. And connecting the data points on each coordinate axis by using lines to form a polygon, wherein the coordinate axis, the points, the lines and the polygon form a radar map, and the radar map corresponding to each candidate address is displayed on a display screen of the terminal. For the radar map corresponding to each candidate address, the target parameter value and the target parameter value are based on the prediction parameter corresponding to each candidate address

And determining the area of the radar map corresponding to each candidate address. Wherein S is_iIs the area of the radar map corresponding to the ith candidate address, C is the number of the prediction parameters,

For example, normalized values of the prediction parameters corresponding to the three candidate addresses are normalized, and the normalized values obtained are shown in table 4.

TABLE 4

The radar map corresponding to each candidate address may be as shown in fig. 5, where fig. 5 includes radar maps corresponding to a first candidate address, a second candidate address, and a third candidate address, and includes six coordinate axes, and the units of the coordinate axes are consistent. The radar map corresponding to the dotted line is the radar map corresponding to the first candidate address, the radar map corresponding to the dash-dot line in the diagram is the radar map corresponding to the second candidate address, and the radar map corresponding to the connecting line in the diagram is the radar map corresponding to the third candidate address.

The normalized values of the prediction parameters corresponding to the three candidate addresses are all subjected to nonlinear processing, and the obtained target parameter values can be shown in table 5.

TABLE 5

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

TABLE 6

Candidate address	Candidate address one	Candidate address two	Candidate address three
				Area of radar map	2.10	3.19	2.40

In step 206, 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.

And the larger the area of the radar map 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 second candidate address is the largest, so that the second candidate address is used as the target address of the drilling platform.

All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.

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

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

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

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

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

a processing module 302 configured to:

for each forward prediction parameter, based on the initial parameter value and a of the forward prediction parameter corresponding to each candidate address_i＝A_i/A_maxDetermining a syntropy processed value of the forward prediction parameter, wherein a_iFor the syntropy processed value of the forward prediction parameter corresponding to the ith candidate address, A_iIs the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, A_maxThe maximum initial parameter value is the maximum initial parameter value in all the initial parameter values of the forward prediction parameters corresponding to all the candidate addresses;

for each negative prediction parameter, based on the initial parameter value and b of the negative prediction parameter corresponding to each candidate address_i＝1-B_i/B_maxDetermining negative prediction parametersHomologation of numbers, wherein b_iFor the homodromous processing value of the negative prediction parameter corresponding to the ith candidate address, B_iIs the initial parameter value of the negative prediction parameter corresponding to the ith candidate address, B_maxThe maximum initial parameter value is the maximum initial parameter value in all the initial parameter values of the negative prediction parameters corresponding to all the candidate addresses;

Optionally, the calculating module 303 is configured to:

Optionally, the apparatus further comprises a display module configured to:

and displaying the radar map corresponding to each candidate address.

according to the device for determining the target address of the drilling platform, the target parameter values of the prediction parameters are obtained by obtaining a plurality of candidate addresses of the drilling platform, determining the initial parameter values of the prediction parameters corresponding to the candidate addresses established by the drilling platform, carrying out homonymization processing, standardization processing and nonlinear processing on the initial parameter values of the prediction parameters corresponding to the candidate addresses in sequence, determining the radar map corresponding to each candidate address based on the target parameter values of the prediction parameters corresponding to each candidate address, determining the area of each radar map, and 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. According to the device provided by the embodiment of the application, the area of the radar map corresponding to each candidate address is calculated, the candidate address corresponding to the radar map with the largest area is determined as the target address, the target address of the drilling platform can be quantitatively determined, and further, the device capable of quantitatively determining the target address of the drilling platform is provided by the embodiment of the application, so that the requirements on professional knowledge and actual drilling experience of technicians are reduced.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

It should be noted that: in the device for determining a target address of a drilling rig according to the above embodiment, when determining the target address of the drilling rig, only the division of the functional modules is used for illustration, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the device for determining the target address of the drilling platform and the method for determining the target address of the drilling platform provided by the embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.

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

Generally, 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, or the like. The processor 401 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 401 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 401 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed by the display screen. In some embodiments, the processor 401 may further 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 a method of determining a drilling rig target address as provided by method embodiments herein.

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 bus or signal lines. Each peripheral may be connected to the peripheral interface 403 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 404, touch screen display 405, camera 406, audio circuitry 407, positioning components 408, and power supply 409.

The peripheral interface 403 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 401 and the 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, any one or two of the processor 401, the memory 402 and the peripheral interface 403 may be implemented on a separate chip or circuit board, which is not limited by this embodiment.

The Radio Frequency circuit 404 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 404 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 404 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 404 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 404 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 404 may further include NFC (Near Field Communication) related circuits, which are not limited in this 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 capture touch signals on or over the surface of the display screen 405. The touch signal may be input to the processor 401 as a control signal for processing. At this point, 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 screen 405 may be one, providing the front panel of the terminal 400; in other embodiments, the display screen 405 may be at least two, respectively 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 further, the display screen 405 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The Display screen 405 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.

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

The audio circuit 407 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, 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 sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 400. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 401 or the radio frequency circuit 404 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 407 may also include a headphone jack.

The positioning component 408 is used to locate the current geographic position of the terminal 400 for navigation or LBS (Location Based Service). The Positioning component 408 may be a Positioning component based on the GPS (Global Positioning System) of the united states, the beidou System of china, the graves System of russia, or the galileo System of the european union.

The power supply 409 is used to supply power to the various components in the terminal 400. The power source 409 may be alternating current, direct current, disposable or rechargeable. When power source 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 also includes one or more sensors 410. The one or more sensors 410 include, but are not limited to: acceleration sensor 411, gyro sensor 412, pressure sensor 413, fingerprint sensor 414, optical sensor 415, and proximity sensor 416.

The acceleration sensor 411 may detect the magnitude of acceleration in 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 the gravitational acceleration in three coordinate axes. The processor 401 may control the touch display screen 405 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 411. The acceleration sensor 411 may also be used for 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 cooperate with the acceleration sensor 411 to acquire a 3D motion of the terminal 400 by the user. From the data collected by the gyro sensor 412, the processor 401 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

The pressure sensor 413 may be disposed on a side bezel of the terminal 400 and/or a lower layer of the touch display screen 405. When the pressure sensor 413 is disposed on the side frame of the terminal 400, a user's holding signal to the terminal 400 can be detected, and the processor 401 performs left-right hand recognition or shortcut operation according to the holding 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 control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 414 is used for collecting a fingerprint of the user, and the processor 401 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 414, or the fingerprint sensor 414 identifies the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, processor 401 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings, etc. The fingerprint sensor 414 may be disposed 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 based on the ambient light intensity collected by the optical sensor 415. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 405 is increased; 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 known as a distance sensor, is typically disposed on the front panel of the terminal 400. The proximity sensor 416 is used to collect the distance between the user and the front surface of the terminal 400. In one embodiment, when the proximity sensor 416 detects that the distance between the user and the front surface of the terminal 400 gradually decreases, the processor 401 controls the touch display screen 405 to switch from the bright screen state to the dark screen state; when the proximity sensor 416 detects that the distance between the user and the front surface of the terminal 400 gradually becomes larger, the processor 401 controls the touch display screen 405 to switch from the breath screen state to the bright screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 4 is not intended to be limiting of terminal 400 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

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

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 instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

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

2. The method of claim 1, wherein the predicted parameters include a predicted total footage, a minimum bump-out separation factor, a predicted investment, a number of ultra-difficult construction wells, a number of wells drilled in a maximum geostress azimuth, and a red ocean line zone boundary distance.

3. The method according to claim 1, wherein the prediction parameters comprise a plurality of positive prediction parameters and a plurality of negative prediction parameters, the positive prediction parameters refer to prediction parameters in which the magnitude of the initial parameter values is positively correlated with the area of the radar map, and the negative prediction parameters refer to prediction parameters in which the magnitude of the initial parameter values is negatively correlated with the area of the radar map;

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

5. 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.

6. An apparatus for determining a target address of a drilling rig, the apparatus comprising:

7. The apparatus of claim 6, wherein the predicted parameters include a predicted total footage, a minimum bump-out separation factor, a predicted investment, a number of ultra-difficult construction wells, a number of wells drilled in a maximum geostress azimuth, and a red ocean line zone boundary distance.

8. The apparatus of claim 6, wherein the prediction parameters comprise a plurality of positive prediction parameters and a plurality of negative prediction parameters, the positive prediction parameters refer to prediction parameters in which the magnitude of the initial parameter values is positively correlated with the area of the radar map, and the negative prediction parameters refer to prediction parameters in which the magnitude of the initial parameter values is negatively correlated with the area of the radar map;

the processing module is configured to:

for each forward prediction parameter, based on the initial parameter value and a of the forward prediction parameter corresponding to each candidate address_i＝A_i/A_maxDetermining a syntonized value of the forward prediction parameter, wherein a_iFor the syntropy processed value of said forward prediction parameter corresponding to the ith candidate address, A_iIs the initial parameter value of the forward prediction parameter corresponding to the ith candidate address, A_maxThe positions of the forward prediction parameters corresponding to all candidate addressesThe maximum initial parameter value in the initial parameter values;

9. The apparatus of claim 6, wherein the computing module is configured to:

10. The apparatus of claim 6, further comprising a display module to:

and displaying the radar map corresponding to each candidate address.