A wellbore dynamic pressure determination method, device, electronic equipment and medium

Abstract

Embodiments of the present application disclose a wellbore dynamic pressure determination method and device, electronic equipment and medium. The method comprises: determining distribution data of different working fluids at different times in and outside the casing according to the basic data of the wellbore, casing centering data, cementing working fluid data and construction discharge of each stage, determining temperature and pressure distribution data of different depths at different times corresponding to different working fluids in combination with the basic data of the wellbore, thermophysical parameters and temperature data; determining rheological data corresponding to different temperatures and different pressures according to known rheological data and temperature and pressure distribution data of different depths at different times corresponding to different working fluids; and determining wellhead dynamic pressure and concern point dynamic pressure according to distribution data of different fluids at different times in and outside the casing, rheological data corresponding to different temperatures and different pressures of the cementing working fluid and construction discharge of each stage. The above scheme considers the influence of temperature and pressure conditions on rheological parameters, and improves the calculation accuracy of dynamic pressure.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of oil and gas exploration, and particularly relates to a wellbore dynamic pressure determination method and device, electronic equipment and medium. BACKGROUND

[0002] With the development of oil and gas exploration and development into complex deep wells (more than 10000 meters), the engineering and technical operation conditions are becoming more and more demanding, and the consolidation of wellbore quality and the improvement of the results put forward higher requirements for the cementing process method and operation accuracy. Complex deep wells mainly face problems such as high temperature, high pressure, narrow density window, etc., which bring severe challenges to oil and gas well cementing operation.

[0003] Although the existing technology can provide design steps for full-process plug flow leak-proof cementing of high-temperature and high-pressure deep wells, and provide guidance for plug flow cementing of deep and ultra-deep wells, the design method does not consider the influence of temperature and pressure on the rheological parameters of the fluid, and cannot realize fine dynamic analysis of the pressure of the narrow density window deep well fluid column. SUMMARY

[0004] The present application provides a wellbore dynamic pressure determination method, device, electronic equipment and medium, which determines the rheological data under different temperature and pressure conditions, solves the calculation error caused by the influence of temperature and pressure conditions on the rheological parameters of the fluid, and improves the calculation accuracy of the wellbore dynamic pressure.

[0005] According to an aspect of the present application, a wellbore dynamic pressure determination method is provided, which comprises:

[0006] determining the distribution data of different working fluids at different times in and outside the casing according to the basic data of the wellbore, the casing centering data, the cementing working fluid data and the construction discharge of each stage;

[0007] determining the temperature and pressure distribution data of different depths corresponding to different working fluids at different times according to the distribution of different working fluids at different times in and outside the casing, the basic data of the wellbore, the thermal physical parameters and the temperature data; wherein the thermal physical parameters include the thermal physical parameters of the fluid, the formation and the casing; and the temperature data includes the wellbore inlet temperature, the surface temperature and the geothermal gradient;

[0008] determining the rheological data corresponding to different temperatures and different pressures according to the known rheological data and the temperature and pressure distribution data of different depths corresponding to different working fluids at different times;

[0009] determining the wellhead dynamic pressure and the dynamic pressure of the focus point according to the distribution data of different fluids at different times in and outside the casing, the rheological data corresponding to different temperatures and different pressures of the cementing working fluid, and the construction discharge of each stage.

[0010] According to another aspect of the present application, a wellbore dynamic pressure determination device is provided, the device comprising:

[0011] a first distribution data determination module configured to determine distribution data of different working fluids at different time instants inside and outside the casing according to the basic data of the wellbore, the casing centering data, the cementing working fluid data and the displacement of each stage;

[0012] a second distribution data determination module configured to determine temperature and pressure distribution data of different working fluids at different time instants and different depths according to the distribution of different working fluids at different time instants inside and outside the casing, the basic data of the wellbore, the thermophysical parameters and the temperature data; wherein the thermophysical parameters include thermophysical parameters of the fluid, the formation and the casing; and the temperature data includes the wellbore inlet temperature, the surface temperature and the geothermal gradient;

[0013] a rheological data determination module configured to determine rheological data corresponding to different temperatures and different pressures according to the known rheological data and the temperature and pressure distribution data of different working fluids at different time instants and different depths;

[0014] a dynamic pressure determination module configured to determine the wellhead dynamic pressure and the dynamic pressure of the point of interest according to the distribution data of different fluids at different time instants inside and outside the casing, the rheological data of the cementing working fluid at different temperatures and different pressures and the displacement of each stage.

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

[0016] at least one processor; and

[0017] a memory in communication with the at least one processor; wherein

[0018] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the wellbore dynamic pressure determination method of any of the embodiments of the present application.

[0019] According to another aspect of the present application, a computer readable storage medium is provided, the computer readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to implement the wellbore dynamic pressure determination method of any of the embodiments of the present application when executed.

[0020] The technical scheme of the embodiment of the application is as follows: according to the basic data of the wellbore, casing centering data, cementing working fluid data and construction discharge of each stage, distribution data of different working fluids at different moments inside and outside the casing is determined; according to the distribution of different working fluids at different moments inside and outside the casing, the basic data of the wellbore, thermal physical parameters and temperature data, temperature and pressure distribution data of different depths corresponding to different working fluids at different moments is determined; wherein, the thermal physical parameters include thermal physical parameters of fluid, formation and casing; the temperature data includes wellbore inlet temperature, surface temperature and geothermal gradient; according to the known rheological data and the temperature and pressure distribution data of different depths corresponding to different working fluids at different moments, rheological data corresponding to different temperatures and different pressures is determined; according to the distribution data of different fluids at different moments inside and outside the casing, rheological data of the cementing working fluid corresponding to different temperatures and different pressures and construction discharge of each stage, wellhead dynamic pressure and focus point dynamic pressure is determined. The technical scheme of the embodiment of the application determines the rheological data under different temperature and pressure conditions, solves the problem of errors in pressure calculation caused by the influence of temperature and pressure conditions on fluid rheological parameters, and improves the calculation accuracy of wellbore dynamic pressure.

[0021] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0023] Figure 1 is a flow chart of a wellbore dynamic pressure determination method according to an embodiment of the application;

[0024] Figure 2 is a flow chart of a wellbore dynamic pressure determination method according to an embodiment of the application;

[0025] Figure 3 is a specific implementation flow chart of a wellbore dynamic pressure determination method according to an embodiment of the application;

[0026] Figure 4 is a temperature and pressure condition wellhead (0m) pressure simulation analysis result graph according to an embodiment of the application;

[0027] Figure 5is a wellbore dynamic pressure determination device provided in Embodiment Three of the present application, and a structure schematic diagram of the wellbore dynamic pressure determination device is shown in Figure 6;

[0028] Figure 6 is a wellbore dynamic pressure determination device provided in Embodiment Three of the present application, and a structure schematic diagram of the wellbore dynamic pressure determination device is shown in Figure 6;

[0029] Figure 7 is a wellbore dynamic pressure determination device provided in Embodiment Three of the present application, and a structure schematic diagram of the wellbore dynamic pressure determination device is shown in Figure 6. DETAILED DESCRIPTION

[0030] In order to make the personnel in the technical field better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by the person of ordinary skill in the art without making creative labor should belong to the scope of protection of the present application.

[0031] It should be noted that the terms "first", "second", "third", "fourth", "actual", "preset" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment One

[0033] Figure 1 A flowchart of a wellbore dynamic pressure determination method provided in Embodiment One of the present application, the present application can be applicable to the case of determining the dynamic pressure of the wellbore. The method can be executed by a wellbore dynamic pressure determination device, which can be realized in the form of hardware and / or software, and can be configured in an electronic device. As shown in the figure, the method comprises: Figure 1

[0034] S110, according to the basic data of the wellbore, the casing centering data, the cementing working fluid data and the construction discharge of each stage, the distribution data of different working fluids at different times in and outside the casing is determined. ​

[0035] The basic data of the wellbore includes the following: 1. geological stratification and formation pressure, including formation, vertical depth, pore pressure coefficient, collapse pressure coefficient, loss pressure coefficient, and fracture pressure coefficient; 2. wellbore structure, including drilling depth, drill bit size, casing level, casing outer diameter, casing wall thickness, casing top depth, casing bottom depth, and cement return depth; 3. deviation data, including depth, deviation angle, azimuth angle, vertical depth, and dogleg severity; and 4. hole diameter data, including top depth, bottom depth, hole diameter, and annular capacity.

[0036] The casing centering data refers to data recorded when the casing is installed underground, indicating whether the casing is in the center of the wellbore. In the embodiments of the present application, the centering of the pipe string in the well is calculated according to the centralizer placement mode, and the casing centering data, i.e., the centralizer information, includes the centralizer placement position, placement interval, centralizer type, centralizer outer diameter, and centering degree calculation result.

[0037] The cementing working fluid includes preflush, flushing fluid, lead slurry, tail slurry, back spacer fluid, and drilling fluid, and the cementing working fluid data includes the density, rheological property parameters, and usage information of each working fluid.

[0038] Specifically, after obtaining the basic data of the wellbore, the casing centering data, the cementing working fluid data, and the displacement of each stage, the entire displacement process can be simulated and analyzed according to the above information to determine the distribution data of different cementing working fluids at different times inside and outside the casing.

[0039] S120, according to the distribution of different working fluids at different times inside and outside the casing, the basic data of the wellbore, the thermal physical property parameters, and the temperature data, determine the temperature and pressure distribution data of different working fluids at different depths at different times; wherein the thermal physical property parameters include the thermal physical property parameters of the fluid, the formation, and the casing; and the temperature data includes the wellbore inlet temperature, the surface temperature, and the geothermal gradient.

[0040] The thermal physical property parameter is a parameter describing the thermal properties of a substance, and common thermal physical property parameters include thermal conductivity, thermal diffusivity, and thermal expansion coefficient. In the embodiments of the present application, the thermal physical property parameter mainly refers to the thermal conductivity and specific heat capacity of the material, specifically, the thermal conductivity and specific heat capacity of the fluid, the formation, and the casing. The temperature data mainly refers to the wellbore inlet temperature, the surface temperature, and the geothermal gradient.

[0041] In combination with the distribution of different working fluids at different time in the casing and outside the casing, the wellbore basic data including the wellbore structure, inclination data and hole diameter data, the thermal physical parameters of the fluid, formation and casing and the temperature data, the temperature distribution data of different working fluids corresponding to different depths at different time can be determined. It should be noted that in addition to the temperature, the pressure also affects the rheological property of the liquid, resulting in the change of the rheological mode and rheological parameters. Therefore, the pressure distribution data of different working fluids corresponding to different depths at different time also needs to be determined.

[0042] Specifically, the determination process of the pressure in the temperature and pressure distribution data includes: determining the in-casing static liquid column pressure and the annular static liquid column pressure according to the distribution data of different working fluids at different time in the casing and outside the casing and the cementing fluid density.

[0043] When the in-casing static liquid column pressure and the annular static liquid column pressure are determined, the following formula can be used: P=pg h, wherein P represents the pressure, p represents the density of the cementing fluid, g represents the acceleration of gravity, and h represents the height of the static liquid column. Thus, the pressure distribution data of different working fluids corresponding to different depths at different time can be determined. Then, the temperature distribution data and the pressure distribution data are combined, and the temperature and pressure distribution data of different working fluids corresponding to different depths at different time can be obtained.

[0044] S130, determining the rheological data corresponding to different temperatures and different pressures according to the known rheological data and the temperature and pressure distribution data of different working fluids corresponding to different depths at different time.

[0045] In the embodiments of the present application, according to the known rheological data, in combination with the temperature and pressure distribution data of different working fluids corresponding to different depths at different time, the corresponding relationship between the temperature and pressure and the rheological data can be established, and thus the rheological data corresponding to different temperatures and different pressures can be determined.

[0046] S140, determining the wellhead dynamic pressure and the dynamic pressure of the focus point according to the distribution data of different fluids at different time in the casing and outside the casing, the rheological data of the cementing fluid corresponding to different temperatures and different pressures and the construction discharge of each stage.

[0047] The focus point can be set according to the actual situation, and when the focus point is set, the focus point depth, focus point type, pressure equivalent density, leakage equivalent density and other information need to be considered.

[0048] In the embodiments of the present application, after the rheological data of the cementing fluid corresponding to different temperatures and different pressures is determined, the wellhead dynamic pressure and the dynamic pressure of the focus point can be determined according to the distribution data of different fluids at different time in the casing and outside the casing, the rheological data of the cementing fluid corresponding to different temperatures and different pressures and the construction discharge of each stage.

[0049] The technical scheme of the embodiment of the application determines the distribution data of different working fluids at different moments inside and outside the casing according to the basic data of the wellbore, casing centering data, cementing working fluid data and construction discharge of each stage; determines the temperature and pressure distribution data of different depths corresponding to different working fluids at different moments according to the distribution of different working fluids at different moments inside and outside the casing, the basic data of the wellbore, thermal physical parameters and temperature data; wherein the thermal physical parameters include thermal physical parameters of fluid, formation and casing; the temperature data include wellbore inlet temperature, surface temperature and geothermal gradient; determines the rheological data corresponding to different temperatures and different pressures according to the known rheological data and the temperature and pressure distribution data of different depths corresponding to different working fluids at different moments; determines the wellhead dynamic pressure and the dynamic pressure of the point of interest according to the distribution data of different fluids at different moments inside and outside the casing, the rheological data corresponding to different temperatures and different pressures of the cementing working fluid and the construction discharge of each stage. The technical scheme of the embodiment of the application determines the rheological data under different temperature and pressure conditions, solves the problem of errors in pressure calculation caused by the influence of temperature and pressure conditions on fluid rheological parameters, and improves the calculation accuracy of the wellbore dynamic pressure.

[0050] Embodiment two

[0051] Figure 2 The flowchart of the wellbore dynamic pressure determination method provided in the embodiment two of the application, the embodiment of the application is optimized based on the above-mentioned embodiment, and the schemes not described in detail in the embodiment of the application are described in the above-mentioned embodiment. As shown in the embodiment of the application, the method specifically includes the following steps: Figure 2

[0052] S210, determining the distribution data of different working fluids at different moments inside and outside the casing according to the basic data of the wellbore, casing centering data, cementing working fluid data and construction discharge of each stage.

[0053] S220, determining the temperature and pressure distribution data of different depths corresponding to different working fluids at different moments according to the distribution of different working fluids at different moments inside and outside the casing, the basic data of the wellbore, thermal physical parameters and temperature data.

[0054] S230, fitting the rheological trend data under the temperature and pressure conditions according to the known rheological data and the temperature and pressure rheological parameter fitting algorithm.

[0055] Before the rheological trend data under the temperature and pressure conditions is fitted according to the known rheological data and the temperature and pressure rheological parameter fitting algorithm, the known rheological data needs to be determined first.

[0056] ​Specifically, the process of determining known rheological data includes: acquiring direct measurement data from a high-temperature and high-pressure rheometer; and comprehensively calculating the known rheological data based on the direct measurement data, rheometer data-related formula models, rheological parameter-related formula models, and locally weighted linear regression models.

[0057] The relevant formula model for rheometer data is as follows Where, τ T,P Let τ be the rotational shear stress at temperature T and pressure P. T0,P0 ΔP represents the rotational shear stress corresponding to the reference temperature and pressure, ΔT represents the pressure difference, ΔT represents the temperature difference, and a1-a6 represent the regression coefficients, which can be obtained by fitting experimental data.

[0058] The relevant formula model for rheological parameters is τ=K(T)γ n(T) +τ0(T), Where τ is the rotational shear stress, γ is the shear rate, and T is the temperature.

[0059] Local linear regression (MLR) is a non-parametric linear regression method. Compared to traditional linear regression, MLR considers the weights between sample points during prediction, assigning different importance to different sample points. In this embodiment, the locally weighted linear regression algorithm includes the following steps:

[0060] ① Input temperature and pressure data X, rotational speed (or rheological parameter) Y; (X and Y are both matrices), and set the correlation coefficient K;

[0061] ② Add a column of data with a value of 1 to X;

[0062] ③ Input the temperature and pressure x at the prediction point;

[0063] ④ Calculate the weight coefficient B of the prediction point;

[0064] ⑤ Calculate the coefficient matrix W of the predicted points based on the weights;

[0065] ⑥ Use the coefficient matrix W to obtain the rotational speed Y' at the predicted point.

[0066] Considering that the rheological properties of a fluid are affected under temperature and pressure conditions, leading to corresponding changes in the rheological mode and rheological parameters, in this embodiment of the application, after obtaining the direct measurement data from the high-temperature and high-pressure rheometer, it is necessary to comprehensively calculate the known rheological data based on the direct measurement data, the rheometer data-related formula model, the rheological parameter-related formula model, and the locally weighted linear regression model.

[0067] Specifically, the known rheological data is obtained through comprehensive calculation according to the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model and the local weighted linear regression model, including: determining the rheological mode corresponding to the cementing working fluid for different cementing working fluids; determining the rheological parameter related formula model corresponding to the rheological mode; and obtaining the known rheological data through comprehensive calculation according to the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model corresponding to the rheological mode and the local weighted linear regression model.

[0068] The rheological mode refers to different physical behaviors or flow states of a material under external shear force, and different materials correspond to different rheological modes. Common rheological modes of cementing working fluids include power-law mode, Bingham mode, Casson mode and power-law mode with yield value.

[0069] It can be understood that different cementing working fluids correspond to different rheological modes, and therefore, for different cementing working fluids, the rheological mode corresponding to the cementing working fluid needs to be determined first, and then the rheological parameter related formula model corresponding to the rheological mode is determined, and then the known rheological data is obtained through comprehensive calculation according to the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model corresponding to the rheological mode and the local weighted linear regression model.

[0070] After obtaining the known rheological data, the rheological trend data under the temperature and pressure conditions can be fitted according to the known rheological data and the temperature and pressure condition rheological parameter fitting algorithm. The rheological trend data is used to reflect the change trend of the rheological data under different temperature and pressure conditions.

[0071] S240, from the rheological trend data under the temperature and pressure conditions, determining the rheological data corresponding to the temperature and pressure of the temperature and pressure distribution data at different times and different depths corresponding to different working fluids, to obtain the rheological data corresponding to different temperatures and different pressures.

[0072] Specifically, after the rheological trend data under the temperature and pressure conditions is fitted, the rheological data corresponding to the temperature and pressure of the temperature and pressure distribution data at different times and different depths corresponding to different working fluids can be determined from the rheological trend data under the temperature and pressure conditions, to obtain the rheological data corresponding to different temperatures and different pressures.

[0073] S250, determining the pipe friction and the annular friction according to the distribution data of different fluids at different times inside and outside the casing, the rheological data of the cementing working fluid under different temperatures and different pressures, and the displacement of each stage construction.

[0074] In the embodiments of the present application, after obtaining the rheological data corresponding to different temperatures and different pressures, the rheological parameters under the temperature and pressure conditions are calculated through rheological mode selection, and the pipe friction and annular friction under the temperature and pressure conditions are simulated by combining the distribution data of different fluids at different times in and outside the casing and the displacement of each stage construction. Thus, the pipe friction and annular friction under the temperature and pressure conditions at each concern point can be determined.

[0075] S260, determining the wellhead dynamic pressure and the concern point dynamic pressure according to the pipe static column pressure and friction, annular static column pressure and friction.

[0076] The concern point can be set according to actual conditions, and when the concern point is set, the concern point depth, concern point type, pressure stability equivalent density, pressure leakage equivalent density and other information need to be considered.

[0077] In the embodiments of the present application, after the pipe friction and annular friction are determined, the wellhead dynamic pressure and the concern point dynamic pressure can be determined according to the pipe static column pressure and friction, annular static column pressure and friction.

[0078] Specifically, determining the wellhead dynamic pressure and the concern point dynamic pressure according to the pipe static column pressure and friction, annular static column pressure and friction includes: determining the wellhead dynamic pressure according to the pipe static column pressure and friction, annular static column pressure and friction; and determining the concern point dynamic pressure according to the concern point annular static column pressure and friction.

[0079] In the embodiments of the present application, the wellhead dynamic pressure can be determined according to the vector sum of the pipe static column pressure and friction, annular static column pressure and friction. The concern point dynamic pressure can be determined according to the vector sum of the annular static column pressure and friction.

[0080] When simulating and calculating the concern point dynamic pressure, the concern point formation leakage pressure and formation pore pressure information need to be combined to finely design the cementing work liquid data including density, amount, rheological data and construction displacement data, so as to ensure that the concern point can pressurize the formation and no leakage occurs during the simulation process.

[0081] The embodiment of the application provides a wellbore dynamic pressure determination method, which comprises the following steps: determining the distribution data of different working fluids at different moments in and outside the casing according to the basic data of the wellbore, casing centering data, cementing working fluid data and construction discharge of each stage; determining the temperature and pressure distribution data of different depths corresponding to different working fluids at different moments according to the distribution of different working fluids at different moments in and outside the casing, the basic data of the wellbore, thermal physical parameters and temperature data; fitting the rheological trend data under the temperature and pressure conditions according to the known rheological data and the rheological parameter fitting algorithm under the temperature and pressure conditions; determining the rheological data corresponding to the temperature and pressure of the temperature and pressure distribution data of different depths corresponding to different working fluids at different moments from the rheological trend data under the temperature and pressure conditions, and obtaining the rheological data corresponding to different temperatures and pressures; determining the pipe friction and annular friction according to the distribution data of different fluids at different moments in and outside the casing, the rheological data of the cementing working fluid under different temperatures and pressures and the construction discharge of each stage; and determining the wellhead dynamic pressure and the dynamic pressure of the focus point according to the pipe static column pressure and the friction, the annular static column pressure and the friction. The technical scheme of the embodiment of the application determines the rheological data under different temperature and pressure conditions, solves the calculation error caused by the influence of the temperature and pressure conditions on the fluid rheological parameters, and improves the calculation accuracy of the wellbore dynamic pressure.

[0082] Embodiment three

[0083] Figure 3 A specific implementation flowchart of a wellbore dynamic pressure determination method provided in the third embodiment of the application is provided. On the basis of the above-mentioned embodiment, a preferred embodiment is provided. The third embodiment of the application selects a directional well with a five-opening (technical tail pipe) well depth of 6596m to determine the wellbore dynamic pressure. The drill bit diameter is Ф241.3mm, the casing diameter is Ф196.85mm, the wall thickness is 16.83mm, the coincident section length is 220.5m, the average hole diameter of the open hole section is 257.97mm, and the hole diameter expansion rate is 6.91%.

[0084] As shown in Figure 3 , the method of the embodiment specifically comprises the following steps:

[0085] S310, determining the geological data, well structure data, inclination data, hole diameter data and drilling fluid data of the wellbore.

[0086] S320, determining the centralizing position design information of the centralizer, and calculating the centering data of the casing in the well at different depths according to the basic data and the eccentricity calculation model of the rigid and elastic centralizer.

[0087] S330, determining the cementing working fluid data, and determining the distribution data of different working fluids at different moments in and outside the casing according to the basic data of the wellbore, the casing centering data, the cementing working fluid data and the construction discharge of each stage.

[0088] Exemplarily, the data of distribution of different working fluids at different time in and outside the casing are shown in Table 1.

[0089] Table 1: Data of distribution of different working fluids at different time in and outside the casing

[0090]

[0091] S340, according to the data of distribution of different working fluids at different time in and outside the casing, simulate the results of pressure distribution in and outside the pipe when the displacement is in place, and the results of loss / cross-flow concern analysis.

[0092] The well isolation fluid, cement slurry, drilling fluid and weighted drilling fluid are selected in the power-law mode, the flushing fluid, the plug fluid and the bumping water are selected in the Newton mode, normal temperature and pressure tests are carried out for various fluids, and the rheological performance parameters of various fluids are calculated according to the reading results of the rotary viscometer. Exemplarily, Table 2 below shows the calculation results of the rheological parameters.

[0093] Table 2: Calculation results of rheological parameters

[0094]

[0095] S350, based on the basic data of the wellbore, the distribution of the cementing working fluid with time in and outside the casing and the rheological parameter data, the whole cementing process is simulated and analyzed.

[0096] The construction time of each construction fluid can be calculated, the cumulative construction time and the cumulative injection amount at the wellhead can be calculated, the wellhead pressure and flow rate during cementing, the pressure at the annular concern point and the bottom hole, the length of the vacuum section, the annular fluid return speed and the dynamic process of cementing can be simulated, and the distribution information of the cementing working fluid with time in and outside the casing can be calculated and analyzed. Exemplarily, Table 3 shows the distribution of the fluids in and outside the pipe at a certain time.

[0097] Table 3: Distribution of different fluids in and outside the pipe at a certain time

[0098]

[0099]

[0100] S360, according to the distribution of different working fluids at different time in and outside the casing, the basic data of the wellbore, the thermophysical parameters and the temperature data, the temperature and pressure distribution data of different working fluids at different time and different depths are determined.

[0101] Exemplarily, Table 4 shows the temperature and pressure distribution of different fluids in the wellbore at a certain time (partly taken).

[0102] Table 4 temperature and pressure distribution of different fluids in the wellbore at a certain time

[0103]

[0104]

[0105] S370, determining rheological data corresponding to different temperatures and pressures according to known rheological data and temperature and pressure distribution data of different working fluids at different depths at different times.

[0106] Exemplarily, Table 5 shows the calculation results of rheological parameters under the influence of part of fluid temperature and pressure.

[0107] Table 5 rheological parameter calculation results of well fluid temperature and pressure changes with depth at a certain time

[0108]

[0109]

[0110] S380, according to the information of the thief zone and channeling zone of the well, the depth of the attention point, the type of the attention point, the equivalent density of pressure stabilization, and the equivalent density of pressure leakage value design are completed.

[0111] Exemplarily, Table 6 shows the refined setting data of the attention point.

[0112] Table 6 refined setting of attention point

[0113] Depth of concern m Type of concern Stable equivalent g / cm 3 ]] leakage equivalent g / cm 3 ]] 4963 Pressure 2.055 2.133 5365 Pressure 2.055 2.133 6330 Pressure 2.055 2.133 6596 Pressure 2.055 2.133

[0114] S390, according to the distribution data of different fluids at different times in and outside the casing, the rheological data of the cementing working fluid corresponding to different temperatures and pressures, and the displacement of each stage construction, the wellhead dynamic pressure and the attention point dynamic pressure are determined.

[0115] Exemplarily, Figure 1 the wellhead (0m) pressure simulation analysis result graph under the temperature and pressure condition is shown, Figure 2 the bottom hole (6596m) pressure simulation analysis result graph under the temperature and pressure condition is shown, that is, the pressure simulation analysis result graph of the attention point at a depth of 6596m.

[0116] The embodiments of the present application have the same beneficial effects as the above-mentioned embodiments.

[0117] Embodiment four

[0118] Figure 6 A structural schematic diagram of a wellbore dynamic pressure determination device provided by Embodiment Four of the present application is shown. The device can execute the wellbore dynamic pressure determination method provided by any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method.Figure 6 The device comprises:

[0119] The first distribution data determination module 410 is configured to determine the distribution data of different working fluids at different times in and outside the casing according to the basic data of the wellbore, the casing centering data, the cementing working fluid data, and the displacement of each stage construction.

[0120] The second distribution data determination module 420 is configured to determine the temperature and pressure distribution data of different working fluids at different depths at different times according to the distribution of different working fluids at different times in and outside the casing, the basic data of the wellbore, the thermophysical parameters, and the temperature data; the thermophysical parameters include the thermophysical parameters of the fluid, the formation, and the casing; and the temperature data includes the wellbore inlet temperature, the surface temperature, and the geothermal gradient.

[0121] The rheological data determination module 430 is configured to determine the rheological data corresponding to different temperatures and different pressures according to the known rheological data and the temperature and pressure distribution data of different working fluids at different depths at different times.

[0122] The dynamic pressure determination module 440 is configured to determine the wellhead dynamic pressure and the dynamic pressure of the point of interest according to the distribution data of different fluids at different times in and outside the casing, the rheological data of the cementing working fluid at different temperatures and different pressures, and the displacement of each stage construction.

[0123] Optionally, the second distribution data determination module 420 comprises:

[0124] The pressure distribution data determination unit is configured to determine the in-casing static liquid column pressure and the annular static liquid column pressure according to the distribution data of different working fluids at different times in and outside the casing and the density of the cementing working fluid.

[0125] Optionally, the rheological data determination module 430 comprises:

[0126] The rheological trend data determination unit is configured to fit the rheological trend data under the temperature and pressure conditions according to the known rheological data and the temperature and pressure condition rheological parameter fitting algorithm.

[0127] The rheological data determination unit is configured to determine the rheological data corresponding to the temperature and pressure of the temperature and pressure distribution data of different working fluids at different depths at different times from the rheological trend data under the temperature and pressure conditions, to obtain the rheological data corresponding to different temperatures and different pressures.

[0128] Optionally, the rheological trend data determination unit comprises:

[0129] The measurement data acquisition subunit is configured to acquire the direct measurement data of the high-temperature and high-pressure rheometer.

[0130] The known rheological data determining subunit is configured to obtain known rheological data by comprehensive calculation according to the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model, and the local weighted linear regression model.

[0131] Optionally, the known rheological data determining subunit is specifically configured to:

[0132] For different cementing working fluids, a rheological mode corresponding to the cementing working fluid is determined.

[0133] A rheological parameter related formula model corresponding to the rheological mode is determined.

[0134] The known rheological data determining subunit is configured to obtain known rheological data by comprehensive calculation according to the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model corresponding to the rheological mode, and the local weighted linear regression model.

[0135] Optionally, the dynamic pressure determining module 440 comprises:

[0136] The friction determining unit is configured to determine the in-pipe friction and the annular friction according to the distribution data of different fluids at different times inside and outside the casing, the rheological data of the cementing working fluid at different temperatures and different pressures, and the construction discharge of each stage.

[0137] The dynamic pressure determining unit is configured to determine the wellhead dynamic pressure and the focus point dynamic pressure according to the in-pipe static column pressure and the friction, the annular static column pressure and the friction.

[0138] Optionally, the dynamic pressure determining unit comprises:

[0139] The wellhead dynamic pressure determining subunit is configured to determine the wellhead dynamic pressure according to the in-pipe static column pressure and the friction, and the annular static column pressure and the friction.

[0140] The focus point dynamic pressure determining subunit is configured to determine the focus point dynamic pressure according to the focus point annular static column pressure and the friction.

[0141] The wellbore dynamic pressure determining device provided in the embodiments of the present application can execute the wellbore dynamic pressure determining method provided in any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0142] Embodiment five

[0143] Figure 7A schematic diagram of an electronic device 10, which can be used to implement embodiments of this application, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0144] like Figure 7 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0145] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0146] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the wellbore dynamic pressure determination method.

[0147] In some embodiments, the wellbore dynamic pressure determination method can be implemented as a computer program tangibly embodied in a computer readable storage medium, e.g., storage unit 18. In some embodiments, parts or all of the computer program can be loaded and / or installed onto electronic device 10 via, e.g., ROM 12 and / or communication unit 19. When the computer program is loaded onto RAM 13 and executed by processor 11, one or more steps of the wellbore dynamic pressure determination method described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the wellbore dynamic pressure determination method by other means, e.g., with the aid of firmware.

[0148] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0149] Computer programs used to implement the processes of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed, can implement the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0150] In the context of this application, a computer readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium can be a machine readable signal medium. More specific examples of the machine readable storage medium will include a one or more lines of a electrical connection, 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.

[0151] 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 the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0152] The systems and techniques described here can be implemented in a computing system that includes a back end 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 back end, 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 a local area network (LAN), a wide area network (WAN), blockchain network, and the Internet.

[0153] The computing system can include clients and servers. A client and server are generally 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 known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0154] It should be understood that the various forms of flow shown above can be reordered, added to, or have steps deleted. For example, the steps described in this application can be performed in parallel, in series, or in a different order, as long as the desired information of the technical solution of the present application can be achieved, which is not limited herein.

[0155] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining dynamic pressure in a wellbore, characterized in that, The method includes: Based on the wellbore's basic data, casing centering data, cementing fluid data, and the discharge rate at each stage of construction, the distribution data of different working fluids inside and outside the casing at different times are determined; wherein, the distribution data includes the density, rheological properties parameters, and usage information of each working fluid; Based on the distribution data of different working fluids inside and outside the casing at different times, the basic data of the wellbore, the thermal property parameters and temperature data, the temperature and pressure distribution data of different working fluids at different times and depths are determined; among them, the thermal property parameters include the thermal property parameters of the working fluid, formation and casing; the temperature data include the wellbore inlet temperature, surface temperature and geothermal gradient. Based on the known rheological data and the temperature and pressure distribution data at different times and depths for different working fluids, determine the rheological data corresponding to different working fluids at different temperatures and pressures. Based on the distribution data of different working fluids inside and outside the casing at different times, the rheological data of cementing working fluids at different temperatures and pressures, and the discharge rate at each stage of construction, the dynamic pressure at the wellhead and the dynamic pressure of the points of interest are determined. Based on known rheological data and temperature and pressure distribution data at different times and depths for different working fluids, the rheological data corresponding to different working fluids at different temperatures and pressures are determined, including: Based on the known rheological data and the rheological parameter fitting algorithm under temperature and pressure conditions, the rheological trend data under temperature and pressure conditions are obtained by fitting. From the rheological trend data under temperature and pressure conditions, we determine the rheological data corresponding to the temperature and pressure distribution data at different times and depths for different working fluids, and obtain the rheological data corresponding to different working fluids at different temperatures and pressures. The process of determining known rheological data includes: Obtain direct measurement data from a high-temperature, high-pressure rheometer; The known rheological data are obtained by comprehensively calculating the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model, and the local weighted linear regression model.

2. The method according to claim 1, characterized in that, The process of determining pressure in temperature and pressure distribution data includes: Based on the distribution data of different working fluids inside and outside the casing at different times and the density of cementing working fluid, the static fluid column pressure inside the casing and the static fluid column pressure in the annulus are determined.

3. The method according to claim 1, characterized in that, Based on the comprehensive calculations using the direct measurement data, rheometer data-related formula models, rheological parameter-related formula models, and locally weighted linear regression models, the known rheological data are obtained, including: For different cementing working fluids, determine the rheological mode corresponding to the cementing working fluid; Determine the relevant formula model for rheological parameters corresponding to the rheological mode; The known rheological data are obtained by comprehensively calculating the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model corresponding to the rheological mode, and the local weighted linear regression model.

4. The method according to claim 1, characterized in that, Based on the distribution data of different working fluids inside and outside the casing at different times, the rheological data of cementing working fluids under different temperatures and pressures, and the discharge rates at each stage of construction, the dynamic pressure at the wellhead and the dynamic pressure at key points are determined, including: Based on the distribution data of different working fluids inside and outside the casing at different times, the rheological data of cementing working fluids at different temperatures and pressures, and the discharge rate at each stage of construction, the internal friction and annular friction are determined. Based on the hydrostatic pressure and friction of the tubing and the hydrostatic pressure and friction of the annulus, determine the dynamic pressure at the wellhead and the dynamic pressure at the point of interest.

5. The method according to claim 4, characterized in that, Based on the hydrostatic pressure and friction within the tubing, and the hydrostatic pressure and friction in the annulus, determine the wellhead dynamic pressure and the dynamic pressure at key points, including: The dynamic pressure at the wellhead is determined based on the hydrostatic pressure and friction of the tubing and the hydrostatic pressure and friction of the annulus. The dynamic pressure of the point of interest is determined based on the annular hydrostatic pressure and frictional resistance.

6. A device for determining dynamic pressure in a wellbore, characterized in that, The device includes: The first distribution data determination module is used to determine the distribution data of different working fluids inside and outside the casing at different times based on the wellbore's basic data, casing centering data, cementing fluid data, and the discharge rate at each stage of construction; wherein, the distribution data includes the density, rheological performance parameters, and usage information of each working fluid; The second distribution data determination module is used to determine the temperature and pressure distribution data at different times and depths corresponding to different working fluids based on the distribution data of different working fluids inside and outside the casing at different times, the basic data of the wellbore, the thermal property parameters, and the temperature data. Among them, the thermal property parameters include the thermal property parameters of the working fluid, the formation, and the casing; the temperature data includes the wellbore inlet temperature, the surface temperature, and the geothermal gradient. The rheological data determination module is used to determine the rheological data corresponding to different working fluids at different temperatures and pressures based on known rheological data and temperature and pressure distribution data at different times and depths for different working fluids. The wellhead dynamic pressure determination module is used to determine the wellhead dynamic pressure and the dynamic pressure of the point of interest based on the distribution data of different working fluids inside and outside the casing at different times, the rheological data of cementing working fluids at different temperatures and pressures, and the discharge rate at each stage of construction. The rheological data determination module includes: The rheological trend data determination unit is used to fit rheological trend data under temperature and pressure conditions based on known rheological data and a rheological parameter fitting algorithm under temperature and pressure conditions. The rheological data determination unit is used to determine the rheological data corresponding to the temperature and pressure of the temperature and pressure distribution data at different times and depths for different working fluids from the rheological trend data under temperature and pressure conditions, and to obtain the rheological data corresponding to different working fluids at different temperatures and pressures. The rheological trend data determination unit includes: The measurement data acquisition subunit is used to acquire direct measurement data from the high-temperature and high-pressure rheometer. The known rheological data determination subunit is used to calculate the known rheological data by comprehensively considering the direct measurement data, the rheometer data related formula model, the rheological parameter related formula model, and the local weighted linear regression model.

7. An electronic device, characterized in that, The device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the wellbore dynamic pressure determination method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the wellbore dynamic pressure determination method according to any one of claims 1-5.

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