CN116976118A - Method, device, equipment and medium for determining adsorption probability of cable - Google Patents
Method, device, equipment and medium for determining adsorption probability of cable Download PDFInfo
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- 238000001179 sorption measurement Methods 0.000 title claims abstract description 162
- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000005553 drilling Methods 0.000 claims abstract description 27
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Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Abstract
The invention discloses a method, a device, equipment and a medium for determining the adsorption probability of a cable. The method comprises the following steps: determining wellbore trajectory parameters and cable adsorption length; determining the thickness of a mud cake according to the well track parameter and the drilling fluid parameter, and correcting the friction coefficient according to the thickness of the mud cake; determining cable friction according to the borehole track parameters and the corrected friction coefficient, and determining adsorption friction according to the cable adsorption length and the corrected friction coefficient; and determining wellhead tension according to the cable friction force and the adsorption friction force, and determining cable adsorption probability according to the wellhead tension. According to the method, the adsorption friction force and the cable friction force are determined through the well track parameters and the cable adsorption lengths, and the cable adsorption probability is determined according to the wellhead tension corresponding to different cable adsorption lengths, so that the risk probability of the cable adsorption card is determined, the quantitative evaluation of the cable adsorption card is realized, and the logging site construction risk is reduced.
Description
Technical Field
The present invention relates to the field of determination technologies of cable adsorption probability, and in particular, to a method, an apparatus, a device, and a medium for determining cable adsorption probability.
Background
In the oil and gas resource exploration and development process, logging while drilling, cable logging and the like are important technical means for stratum evaluation. However, the cable adsorption clamp is easily generated in the cable logging operation process under the influence of factors such as stratum lithology, well structure, drilling fluid performance and the like, and once the cable adsorption clamp is generated, the cable adsorption clamp must be salvaged on site, so that the operation efficiency and the exploration and development effects are seriously influenced.
In the prior art at home and abroad, more qualitative analysis is mainly performed on reasons and influence factors which cause the risk of cable logging, so that the main factors which influence the cable adsorption card are clear, but the influence factors which cause the adsorption of cable logging are more, the interaction relationship among the factors is not clear, and the risk characterization of the cable adsorption card is difficult to be performed by adopting a single method.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for determining the adsorption probability of a cable so as to determine the adsorption position and the risk probability of the cable.
In a first aspect, an embodiment of the present invention provides a method for determining a cable adsorption probability, where the method includes:
determining wellbore trajectory parameters and cable adsorption length;
determining the thickness of a mud cake according to the well track parameter and the drilling fluid parameter, and correcting the friction coefficient according to the thickness of the mud cake;
determining cable friction according to the borehole track parameters and the corrected friction coefficient, and determining adsorption friction according to the cable adsorption length and the corrected friction coefficient;
and determining wellhead tension according to the cable friction force and the adsorption friction force, and determining cable adsorption probability according to the wellhead tension.
In a second aspect, an embodiment of the present invention further provides a device for determining a probability of adsorption of a cable, where the device includes:
and a parameter determining module: the method comprises the steps of determining wellbore trajectory parameters and cable adsorption length;
friction coefficient correction module: the device is used for determining the thickness of the mud cake according to the well track parameter and the drilling fluid performance parameter, and correcting the friction coefficient according to the thickness of the mud cake;
adsorption friction force determining module: the method comprises the steps of determining cable friction according to borehole track parameters and corrected friction coefficients, and determining adsorption friction according to cable adsorption length and corrected friction coefficients;
a cable adsorption probability determination module: the cable adsorption probability determining device is used for determining wellhead tension according to cable friction force and adsorption friction force and determining cable adsorption probability according to wellhead tension.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements a method for determining a cable adsorption probability according to any one of the embodiments of the present invention when the processor executes the program.
In a fourth aspect, embodiments of the present invention also provide a storage medium storing computer-executable instructions that, when executed by a computer processor, are configured to perform a method of determining a cable adsorption probability according to any one of the embodiments of the present invention.
According to the technical scheme provided by the embodiment of the invention, the adsorption friction force and the cable friction force are determined through the borehole track parameters and the cable adsorption length, the wellhead tension is determined according to the adsorption friction force and the cable friction force, and the cable adsorption probability is determined according to the wellhead tension corresponding to different cable adsorption lengths, so that the risk probability of the cable adsorption card is determined, the quantitative evaluation of the cable adsorption card is realized, and the logging site construction risk is reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 invention, 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 adsorption probability of a cable according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a cable stress provided by an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for determining adsorption probability of a cable according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device embodying an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart of a method for determining a cable adsorption probability according to an embodiment of the present invention, where the method may be performed by a device for determining a cable adsorption probability, the device may be implemented in hardware and/or software, and the device for determining a cable adsorption probability may be configured in a terminal.
As shown in fig. 1, the method includes:
s110, determining the well track parameters and the cable adsorption length.
The borehole trajectory may be the actual drilled borehole axis. The wellbore trajectory parameters may be parameters such as well depth, well inclination angle, well inclination azimuth angle, etc., and the specific type of wellbore trajectory parameters is not limited in this embodiment. The cable adsorption length refers to the ratio of the cable's length of the well to the total length of the cable, and can be selected from 10% and 20%, for example.
And determining a well track parameter according to the well head parameter of the actual operation scene, and selecting the cable adsorption length conforming to the actual operation scene.
Optionally, before determining the wellbore trajectory parameter and the cable adsorption length, the method comprises:
and establishing a cable friction calculation soft rod model.
The basic assumption of modeling is that the cable resembles a soft rope, without bending stiffness but can transmit tension; the cable is consistent with the shape of the axis of the well bore and continuously contacts with the drilling fluid; the dynamic circulation effects of the fluid in the wellbore are ignored. The model is shown in fig. 2.
S120, determining the thickness of the mud cake according to the well track parameter and the drilling fluid performance parameter, and correcting the friction coefficient according to the thickness of the mud cake.
The fluid parameters may be parameter values that characterize various circulating fluid properties during oil and gas drilling, for example, the fluid parameters may be selected as shown in table 1.
TABLE 1
Optionally, determining the mud cake thickness according to the wellbore trajectory parameter, including steps A1-A3:
and A1, determining the fluid loss flow rate at the mud cake according to the fluid loss flow rate of the drilling fluid.
The fluid loss flow of drilling fluid can be expressed by the following formula:
wherein h is the stratum thickness, and the unit is m; Δp is the pressure differential between the wellbore and the reservoir in 10 -1 MPa；K f Is mud cake permeability in μm 2 ；K R Is the stratum permeability in mu m 2 ；r W The initial wellbore radius is given in cm; r is (r) c The real-time borehole radius is given in cm; mu (mu) f The viscosity of the drilling fluid is expressed in mPas; mu (mu) o The viscosity of the crude oil of the stratum is expressed in mPa.s; r is (r) D The fluid loss invasion radius is given by cm; r is (r) e The flow outer boundary is given in cm.
Further, according to the fluid loss flow rate of the drilling fluid, the fluid loss flow rate at the mud cake is determined by the following formula:
wherein q is the drilling fluid loss rate, and the unit is L/min.
Optionally, the accumulated fluid loss can be obtained according to the fluid loss flow rate at the mud cake, and the accumulated fluid loss calculation formula is as follows:
wherein Q is accumulated filter loss per unit stratum thickness, and the unit is L; t is time in min.
And A2, determining the radius difference between the radius of the borehole and the radius of the initial borehole when the mass conservation is deposited and eroded according to the fluid loss flow rate at the mud cake.
Alternatively, since shear stress is generated on the mud cake when the drilling fluid returns, if the flow of the drilling fluid in the annulus is laminar, the Rabinowitsch-Mooney equation can know that the shear stress is:
wherein r is c The real-time borehole radius is given in cm; v is the flow velocity of drilling fluid in the annular space, and the unit is cm/s; k is the consistency coefficient of the drilling fluid, and the unit is Pa.s n The method comprises the steps of carrying out a first treatment on the surface of the n is the flow of drilling fluidAn index; rd is the outer diameter of the drill rod in cm.
Specifically, according to the fluid loss flow rate at the mud cake, the radius difference between the radius of the borehole and the radius of the initial borehole during deposition and erosion mass conservation is determined, and can be calculated by the following formula:
wherein r is W The initial wellbore radius is given in cm; r is (r) c The real-time borehole radius is given in cm; k (k) d The deposition coefficient of the solid phase particles on the surface of the mud cake; ρ f Is the density of drilling fluid, and the unit is g/cm 3 The method comprises the steps of carrying out a first treatment on the surface of the u is the fluid loss flow rate, and the unit is cm/s; b (B) p The mass fraction of the solid phase particles in the drilling fluid; k (k) e The unit is g/(N.s) of the erosion coefficient of the mud cake; τ s The unit is Pa for the shear stress of drilling fluid to mud cakes; τ cr Is critical shear stress of mud cake, and the unit is Pa; phi (phi) c Porosity of the mud cake; ρ p Is solid phase particle density in g/cm 3 。
And A3, taking the radius difference as the thickness of the mud cake.
And taking the calculated radius difference between the radius of the well bore and the radius of the initial well bore as the mud cake thickness.
Optionally, the friction coefficient is corrected according to the thickness of the mud cake, which comprises the following step B1:
and B1, determining a corrected friction coefficient according to the friction coefficient of the casing, the friction coefficient increment, the characteristic mud cake thickness, the friction coefficient curve ascending index and the mud cake thickness obtained according to the well track parameter.
Specifically, according to the sleeve friction coefficient, the friction coefficient increment, the characteristic mud cake thickness, the friction coefficient curve rising index and the mud cake thickness obtained by determining the well track parameter, the corrected friction coefficient is determined and can be calculated by the following formula:
wherein μ is the corrected coefficient of friction; mu (mu) w The friction coefficient when the mud cake is not considered, namely the friction coefficient of the sleeve, is 0.2; Δμ is the maximum increase in coefficient of friction expected after taking into account the mudcake, i.e., the coefficient of friction increase, which is desirably 0.1; d, d s The thickness of the mud cake is 1mm; lambda is the coefficient of friction curve rising index, which can be taken as-1; d, d mud Is mud cake thickness.
S130, determining the cable friction according to the borehole trajectory parameters and the corrected friction coefficient, and determining the adsorption friction according to the cable adsorption length and the corrected friction coefficient.
Optionally, determining the cable friction according to the wellbore trajectory parameter and the corrected friction coefficient, including the steps of C1-C2:
and C1, determining the contact positive pressure of the cable micro element according to the axial force at the lower end of the cable micro element, the cable floating weight in the tangential direction and the normal direction and the dog leg angle.
The cable float weight in tangential direction can be calculated by the following formula:
the cable float weight in the normal direction can be calculated by the following formula:
the cable float weight in the radial direction can be calculated by the following formula:
wherein alpha is 1 、α 2 Well inclination angles of a lower end point and an upper end point of the cable element are respectively shown as rad, and are denoted by 1 and 2 in fig. 2;is azimuth increment, in rad; gamma is the dog leg angle, and the unit is rad; w is the cable floating weight, and the unit is N. As shown in fig. 2, t is a tangential direction of the three-dimensional coordinate in space, n is a normal direction of the three-dimensional coordinate in space, and b is a radial direction of the three-dimensional coordinate in space.
Alternatively, as shown in fig. 2, the cable may be divided into corresponding microelements according to the inclinometry data or the point division data, and the friction and the axial force distribution condition of the whole cable may be obtained by calculating the axial force value of the lower end of the lowest cable microelements from bottom to top one by one according to the axial force value of the lower end of the lowest cable microelements, wherein the axial force value of the lower end of the lowest cable microelements is equal to the floating weight of the instrument. The contact positive pressure, friction force and upper end axial force of the cable element can be calculated according to the axial force of the lower end of the cable element.
The axial force of the upper end of the cable micro element can be determined according to the axial force of the lower end of the cable micro element, the cable floating weight in the tangential direction and the normal direction and the dog leg angle, and can be calculated by the following formula:
N b ＝W b
wherein T is 1 The axial force of the upper end of the cable micro element is N; t (T) 2 The axial force of the lower end of the cable micro element is N; f is cable friction force, and the unit is N; n (N) n The unit is N, which is the normal direction cable element contact positive pressure.
According to the axial force at the lower end of the cable microcell, the cable floating weight in the tangential direction and the normal direction and the dog leg angle, the contact positive pressure of the cable microcell is determined, and the contact positive pressure can be calculated by the following formula:
wherein N is the contact positive pressure of the cable infinitesimal unit of N; t (T) 2 The axial force of the lower end of the cable micro element is N; w (W) t The cable floating weight in the tangential direction is N; w (W) n The cable floating weight in the normal direction is N; gamma is the dog leg angle in rad.
And C2, determining the friction force of the cable according to the micro-element contact positive pressure of the cable and the corrected friction coefficient.
According to the cable microcell contact positive pressure and the corrected friction coefficient, the cable friction force is determined, and can be calculated by the following formula:
F＝μN
wherein μ is the corrected coefficient of friction; n is the contact positive pressure of the cable microcells, and the unit is N.
Optionally, determining the adsorption friction force according to the adsorption length of the cable and the corrected friction coefficient, including the steps of D1-D4:
and D1, determining an equivalent elastic modulus according to the cable elastic modulus and the mud cake elastic modulus, and determining an equivalent radius according to the cable radius and the borehole radius.
According to the elastic modulus of the cable and the elastic modulus of the mud cake, the equivalent elastic modulus is determined and can be calculated by the following formula:
wherein v is 1 Poisson ratio of cable, v 2 Poisson ratio of mud cake, E 1 For cable E 1 Modulus of elasticity, E 2 Is the modulus of elasticity of the mud cake.
From the cable radius and the wellbore radius, the equivalent radius is determined, which can be calculated by the following formula:
wherein R is 1 The unit is m, which is the radius of the cable; r is R 2 Is the radius of the borehole in m.
And D2, determining the draft according to the friction force and the equivalent elastic modulus of the cable.
The penetration depth is determined from the cable friction and the equivalent elastic modulus, and can be calculated by the following formula:
wherein d is the draft in m; f is cable friction force, and the unit is N; e (E) * Is the equivalent elastic modulus.
And D3, determining the contact area of the cable and the mud cake according to the draft, the equivalent radius and the cable adsorption length.
Alternatively, the contact half-length is determined from the draft, equivalent radius, and can be calculated by the following formula:
wherein R is an equivalent radius, and the unit is m; d is the draft in m.
The contact circumference is determined according to the contact half length, the draft and the equivalent radius, and can be calculated by the following formula:
wherein a is the contact half length, and the unit is m; r is equivalent radius, and the unit is m.
The contact area is determined according to the contact half length and the contact perimeter, and can be calculated by the following formula:
A c ＝ΔsL ep
wherein L is ep Is the adsorption length; Δs is the contact circumference.
And D4, determining the adsorption friction force according to the corrected friction coefficient, the contact area of the cable and the mud cake and the pressure difference between the shaft and the reservoir.
And determining the adsorption friction force according to the corrected friction coefficient, the contact area of the cable and the mud cake and the pressure difference between the shaft and the reservoir, wherein the adsorption friction force can be calculated by the following formula:
F dp ＝μ·A c ·Δp
wherein Δp is the pressure differential between the wellbore and the reservoir in 10 units -1 MPa; μ is the coefficient of friction after correction.
And S140, determining wellhead tension according to the cable friction force and the adsorption friction force, and determining cable adsorption probability according to the wellhead tension.
Optionally, determining the wellhead tension according to the cable friction and the adsorption friction includes the step E1:
and E1, taking the sum of the cable gravity, the equipment gravity, the cable friction and the adsorption friction as wellhead tension matched with the cable adsorption length.
According to the sum of the cable gravity, the equipment gravity, the cable friction and the adsorption friction, as the wellhead tension matched with the cable adsorption length, the wellhead tension can be calculated by the following formula:
wellhead tension = cable gravity + equipment gravity + cable friction + adsorption friction
Determining the cable adsorption probability according to wellhead tension, comprising the steps of:
and F1, respectively determining a first wellhead tension matched with the first cable adsorption length and a second wellhead tension matched with the second cable adsorption length.
The first cable has an adsorption length of 10% and a cable friction force of F 1 ＝μ 1 N 1 Adsorption friction force F dp1 ＝μ 1 10% Δs.Δp, calculated to give a first wellhead tension of T 10％ ＝g 1 +g 2 +μ 1 N 1 +μ 1 ·10％Δs 1 ·Δp。
The second cable has an adsorption length of 20% and a cable friction force of F 2 ＝μ 2 N 2 Adsorption friction force F dp2 ＝μ 2 ·20％Δs 2 Δp, calculated as T 20％ ＝g 1 +g 2 +μ 2 N 1 +μ 2 ·20％Δs 2 Δp. Wherein g 1 Is the gravity of the cable; g 2 Gravity for the device.
And F2, taking the ratio of the difference value between the second wellhead tension and the tension critical value to the difference value between the second wellhead tension and the first wellhead tension as the cable adsorption probability.
Taking the ratio of the difference value between the second wellhead tension and the tension critical value and the difference value between the second wellhead tension and the first wellhead tension as the cable adsorption probability, the cable adsorption probability can be calculated by the following formula:
optionally, the method for determining the adsorption probability of the cable further includes:
and judging the risk of the cable adsorption card according to the cable adsorption probability.
According to the condition of the field operation scene, the preset cable adsorption probability is preset, the calculated cable adsorption probability is compared with a preset cable adsorption probability threshold value, and if the cable adsorption probability is larger than the preset cable adsorption probability threshold value, the risk of the cable adsorption card is large; if the cable adsorption probability is smaller than the preset cable adsorption probability threshold, the cable adsorption card risk is indicated to be small.
For example, the cable adsorption probability threshold may take a value of 30%, and if the calculated cable adsorption probability is less than 30%, it is indicated that the probability of adsorbing the cable is smaller, so that the cable logging operation may be performed normally. If the calculated cable adsorption probability is greater than 30%, the probability that the cable is adsorbed is larger, and the situation that the cable is adsorbed in the actual operation process can be avoided by adopting measures such as adjusting drilling fluid performance parameters and equipment parameters.
According to the technical scheme provided by the embodiment of the invention, the adsorption friction force and the cable friction force are determined through the borehole track parameters and the cable adsorption length, the wellhead tension is determined according to the adsorption friction force and the cable friction force, and the cable adsorption probability is determined according to the wellhead tension corresponding to different cable adsorption lengths, so that the risk probability of the cable adsorption card is determined, the quantitative evaluation of the cable adsorption card is realized, and the logging site construction risk is reduced.
Fig. 3 is a schematic structural diagram of a device for determining adsorption probability of a cable according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes:
parameter determination module 210: the method comprises the steps of determining wellbore trajectory parameters and cable adsorption length;
the friction coefficient correction module 220: the device is used for determining the thickness of the mud cake according to the well track parameter and the drilling fluid performance parameter, and correcting the friction coefficient according to the thickness of the mud cake;
the adsorption friction determination module 230: the method comprises the steps of determining cable friction according to borehole track parameters and corrected friction coefficients, and determining adsorption friction according to cable adsorption length and corrected friction coefficients;
cable adsorption probability determination module 240: the cable adsorption probability determining device is used for determining wellhead tension according to cable friction force and adsorption friction force and determining cable adsorption probability according to wellhead tension.
Optionally, the friction coefficient correction module 220 includes:
fluid loss flow rate determination unit: the method comprises the steps of determining the fluid loss flow rate of a mud cake according to the fluid loss flow rate of drilling fluid;
radius difference determining unit: the method comprises the steps of determining the radius difference between the radius of a borehole and the radius of an initial borehole when deposition and erosion mass conservation are performed according to the fluid loss flow rate at a mud cake;
mud cake thickness determination unit: for taking the radius difference as the mud cake thickness.
Optionally, the friction coefficient correction module 220 includes:
friction coefficient correction means: the method is used for determining the corrected friction coefficient according to the friction coefficient of the casing, the friction coefficient increment, the characteristic mud cake thickness, the friction coefficient curve rising index and the mud cake thickness obtained according to the well track parameter.
Optionally, the adsorption friction determining module 230 includes:
the cable microelement contact positive pressure determining unit: the device is used for determining the contact positive pressure of the cable micro element according to the axial force at the lower end of the cable micro element, the cable floating weight in the tangential direction and the normal direction and the dog leg angle;
a cable friction force determination unit: the method is used for determining the friction force of the cable according to the micro-element contact positive pressure of the cable and the corrected friction coefficient.
Optionally, the adsorption friction determining module 230 includes:
equivalent radius determining unit: the method comprises the steps of determining an equivalent elastic modulus according to the cable elastic modulus and the mud cake elastic modulus, and determining an equivalent radius according to the cable radius and the borehole radius;
a draft determination unit: the method comprises the steps of determining the penetration depth according to the friction force and the equivalent elastic modulus of the cable;
contact area determining unit: the method is used for determining the contact area of the cable and the mud cake according to the draft, the equivalent radius and the cable adsorption length;
adsorption friction force determination unit: and the adsorption friction force is determined according to the corrected friction coefficient, the contact area of the cable and the mud cake and the pressure difference between the shaft and the reservoir.
Optionally, the cable adsorption probability determining module 240 includes:
wellhead tension determining unit: the well head tension device is used for taking the sum of cable gravity, equipment gravity, cable friction and adsorption friction as well head tension matched with the adsorption length of the cable.
Optionally, the cable adsorption probability determining module 240 includes:
the cable adsorption length determines the wellhead tension unit: the method comprises the steps of determining a first wellhead tension matched with a first cable adsorption length and a second wellhead tension matched with a second cable adsorption length respectively;
a cable adsorption probability determination unit: and the ratio of the difference value between the second wellhead tension and the tension critical value to the difference value between the second wellhead tension and the first wellhead tension is used as the cable adsorption probability.
The device for determining the cable adsorption probability provided by the embodiment of the invention can execute the method for determining the cable adsorption probability provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 4 is a schematic structural diagram of an electronic device embodying an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (central processor), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the respective methods and processes described above, such as the method of determining the cable adsorption probability.
In some embodiments, the method of determining the cable adsorption probability may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the above-described method of determining the cable adsorption probability may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method of determining the cable adsorption probability in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for determining a probability of cable adsorption, comprising:
determining wellbore trajectory parameters and cable adsorption length;
determining the thickness of a mud cake according to the well track parameter and the drilling fluid parameter, and correcting the friction coefficient according to the thickness of the mud cake;
determining cable friction according to the borehole track parameters and the corrected friction coefficient, and determining adsorption friction according to the cable adsorption length and the corrected friction coefficient;
and determining wellhead tension according to the cable friction force and the adsorption friction force, and determining cable adsorption probability according to the wellhead tension.
2. The method of claim 1, wherein determining the mudcake thickness based on the wellbore trajectory parameter comprises:
determining the fluid loss flow rate of the mud cake according to the fluid loss flow rate of the drilling fluid;
determining the radius difference between the radius of the borehole and the radius of the initial borehole when the deposition and erosion mass is conserved according to the fluid loss flow rate at the mud cake;
the radius difference is taken as the mud cake thickness.
3. The method of claim 1, wherein modifying the coefficient of friction based on the mud cake thickness comprises:
and determining the corrected friction coefficient according to the friction coefficient of the casing, the friction coefficient increment, the characteristic mud cake thickness, the friction coefficient curve rising index and the mud cake thickness obtained according to the well track parameter.
4. The method of claim 1, wherein determining the cable friction based on the wellbore trajectory parameter and the corrected friction coefficient comprises:
determining the contact positive pressure of the cable micro element according to the axial force at the lower end of the cable micro element, the cable floating weight in the tangential direction and the normal direction and the dog leg angle;
and determining the friction force of the cable according to the micro element contact positive pressure of the cable and the corrected friction coefficient.
5. The method of claim 4, wherein determining the adsorption friction based on the cable adsorption length and the corrected friction coefficient comprises:
determining an equivalent elastic modulus according to the cable elastic modulus and the mud cake elastic modulus, and determining an equivalent radius according to the cable radius and the borehole radius;
determining the draft according to the cable friction and the equivalent elastic modulus;
determining the contact area of the cable and the mud cake according to the draft, the equivalent radius and the cable adsorption length;
and determining the adsorption friction force according to the corrected friction coefficient, the contact area of the cable and the mud cake and the pressure difference between the shaft and the reservoir.
6. The method of claim 1, wherein determining wellhead tension based on the wireline friction and the adsorption friction comprises:
and taking the sum of the cable gravity, the equipment gravity, the cable friction and the adsorption friction as wellhead tension matched with the adsorption length of the cable.
7. The method of claim 6, wherein determining the wireline adsorption probability based on wellhead tension comprises:
determining a first wellhead tension matched with the first cable adsorption length and a second wellhead tension matched with the second cable adsorption length respectively;
and taking the ratio of the difference value of the second wellhead tension and the tension threshold value to the difference value of the second wellhead tension and the first wellhead tension as the cable adsorption probability.
8. A device for determining a probability of adsorption of a cable, comprising:
and a parameter determining module: the method comprises the steps of determining wellbore trajectory parameters and cable adsorption length;
friction coefficient correction module: the device is used for determining the thickness of the mud cake according to the well track parameter and the drilling fluid performance parameter, and correcting the friction coefficient according to the thickness of the mud cake;
adsorption friction force determining module: the method comprises the steps of determining cable friction according to borehole track parameters and corrected friction coefficients, and determining adsorption friction according to cable adsorption length and corrected friction coefficients;
a cable adsorption probability determination module: the cable adsorption probability determining device is used for determining wellhead tension according to cable friction force and adsorption friction force and determining cable adsorption probability according to wellhead tension.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of determining the cable attraction probability according to any one of claims 1-7 when executing the program.
10. A storage medium storing computer executable instructions which, when executed by a computer processor, are adapted to carry out the method of determining a cable adsorption probability according to any one of claims 1-7.
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