Coupling digital-analog analysis method and system for drilling efficiency in salt cavity non-diagenesis sediment
By constructing drilling tool models and fluid domain models within the non-diagenetic sediment of salt caverns, and conducting bidirectional coupled numerical simulations of particle multiphase flow, the problem of low drilling efficiency within the non-diagenetic sediment of salt caverns was solved, and a quantitative analysis of drilling efficiency within the sediment at the bottom of salt cavern gas storage tanks was achieved.
Patent Information
- Application Number
- CN202410811975.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-21
- Publication Date
- 2025-12-23
AI Technical Summary
Drilling efficiency is low within the non-lithogenic sediment of salt caverns, and existing technologies cannot effectively utilize the pore space of salt cavern gas storage facilities. Furthermore, there is a lack of relevant research and field tests both domestically and internationally.
By constructing a drilling tool model, establishing discrete element and fluid domain models, and performing bidirectional coupled numerical simulation of particle multiphase flow, the drilling efficiency is analyzed, including parameter settings and coupled solutions for the discrete element model and fluid domain model, and the drilling tool structure and fluid parameters are optimized.
The drilling efficiency of the drill bit in the non-diagenetic sediment of the salt cavity was quantified, providing theoretical guidance and providing numerical model analysis support for drilling in the sediment at the bottom of the salt cavern gas storage cavity and utilization of the void space.
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Figure CN121189054A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present disclosure belongs to the technical field of mineral development, and particularly relates to a salt cavity non-diagenetic sediment inner drilling efficiency coupling numerical simulation analysis method and system. BACKGROUND
[0002] The geological resources for building salt cavern gas storage in China are mostly layered salt layers (lacustrine deposits), which have the characteristics of many interlayers, thin single layers, and high insoluble content. After the dissolution cavity is completed, there will be a thick accumulation of insoluble substances at the bottom of the cavity. The accumulation of insoluble substances and the internal brine occupy a large amount of storage capacity. According to statistics, in the construction or proposed areas of Jintan, Chuzhou, Huai'an, and Pingdingshan, after the salt cavern gas storage well is dissolved by the water solution method, the volume of insoluble sediment accumulation in the salt cavity usually accounts for 1 / 3-2 / 3 of the total volume of the cavity, resulting in that nearly half of the volume of the salt cavity cannot be effectively utilized.
[0003] The salt cavern gas storage usually adopts the water solution convection method to build a cavity. Most of the insoluble substances in the salt layer and interlayer will settle and accumulate at the bottom of the salt cavity during the water solution cavity building process. Since the sediment at the bottom of the cavity is free to settle and accumulate, it is only compacted to a certain extent under the action of its own gravity, and the space between the sediment particles is filled with brine. Therefore, compared with conventional strata, the sediment accumulation layer has poor cementation between the residual particles, low mechanical strength, and is in a "non-diagenetic" state. It is difficult to form a hole and has low drilling efficiency when drilling in the sediment.
[0004] Foreign salt cavern gas storage is usually built in a huge salt dome, with high salt content, few interlayers, and low insoluble content. Therefore, there is currently no research on salt cavity sediment inner drilling and brine discharge expansion in foreign countries.
[0005] At present, a drilling expansion pilot test is carried out in the accumulated material at the bottom of the salt cavity in the Jintan salt cavern gas storage well JK8-6 well using a straight jet flow drilling tool. A 4.5-inch tubing string + 3-hole straight jet flow tool is used to form a hole in the accumulated material at the bottom of the dissolved cavity by using high-pressure water jet positive circulation flushing. Test effect analysis: the straight jet flow forms an effective impact pit hole in the sediment. According to the sonar cavity measurement results, the conical bottom pit hole has a top-to-bottom height of 1.8-2.6 m, an upper diameter of about 2.2-3.2 m, a lower diameter of about 0.8-1.0 m, and a discharge pipe string that is lowered by about 2 m. Relative to the sediment depth of 40-120 m, the depth of the formed bottom pit is limited, and the effect is not ideal.
[0006] Some scholars have explored and proposed a self-advancing rotary jet drilling process in the sediment at the bottom of the salt cavity. However, there is no precedent for field test of drilling in the non-diagenetic sediment at the bottom of the salt cavern gas storage at home and abroad. The rotary jet drilling efficiency of high-pressure fluid in the non-diagenetic sediment at the bottom of the salt cavity needs to be studied through indoor physical simulation and numerical simulation analysis.
[0007] Therefore, it is necessary to provide a new salt cavern unconsolidated cuttings drilling efficiency coupling numerical simulation method and system to solve the above technical problems. SUMMARY
[0008] The purpose of the present disclosure is to provide a salt cavern unconsolidated cuttings drilling efficiency coupling numerical simulation method and system to solve the above problems.
[0009] The present disclosure achieves the above-mentioned purpose by the following technical solutions:
[0010] A salt cavern unconsolidated cuttings drilling efficiency coupling numerical simulation method, comprising the following steps:
[0011] Constructing a drilling tool model, and constructing a discrete element model and a fluid domain model based on the drilling tool model;
[0012] Coupling the discrete element model and the fluid domain model to obtain a two-way coupling numerical model of particle-containing multiphase flow and solve it;
[0013] Based on the solving result, performing a salt cavern unconsolidated cuttings drilling efficiency coupling numerical simulation analysis.
[0014] As a further optimization scheme of the present disclosure, constructing a drilling tool model specifically comprises:
[0015] Using computer-aided design software, drawing each part of the drilling tool according to the shape, size and component parts of the drilling tool, creating a three-dimensional geometric model, and obtaining a drilling tool model.
[0016] As a further optimization scheme of the present disclosure, constructing a discrete element model based on the drilling tool model specifically comprises:
[0017] On the basis of the drilling tool model, defining and setting particle phase parameters and properties for discrete element simulation to obtain a discrete element model;
[0018] Setting discrete element solver numerical simulation parameters, including setting the initial state of particles, the physical properties of particles, the boundary conditions of particles and model parameters.
[0019] As a further optimization scheme of the present disclosure, the initial state of the particles includes the geometric shape, initial position, velocity and angle of the cuttings particles;
[0020] The physical properties of the particles include the particle size distribution, density, shape and material properties of the cuttings particles;
[0021] The boundary conditions of the particles include the contact and boundary restriction of the cuttings particles with the equipment wall surface;
[0022] Setting the model parameters refers to selecting a particle collision model, an inter-particle friction model, setting a time step, and an iteration number.
[0023] As a further optimization scheme of the present disclosure, constructing a fluid domain model based on the drilling tool model specifically comprises:
[0024] On the basis of the drilling tool model, defining and setting fluid phase parameters and equations for calculating fluid mechanics simulation to obtain a fluid domain model;
[0025] Setting the model parameters refers to selecting a particle collision model, an inter-particle friction model, setting a time step, and an iteration number.
[0026] As a further optimization scheme of the present disclosure, setting the initial state and boundary conditions of the fluid domain includes meshing the fluid domain model, setting a velocity inlet, a pressure outlet, wall boundary conditions, and a time step.
[0027] The fluid phase physical properties include setting fluid density and fluid viscosity.
[0028] Setting the fluid mechanics model includes selecting an appropriate fluid mechanics model according to the properties and flow conditions of the fluid.
[0029] As a further optimization scheme of the present disclosure, coupling the discrete element model and the fluid domain model to obtain a bidirectional coupling numerical model of particle-containing multiphase flow and solving specifically comprises:
[0030] Coupling the discrete element model and the fluid domain model to obtain a bidirectional coupling numerical model of particle-containing multiphase flow, the solving of the bidirectional coupling numerical model of particle-containing multiphase flow includes optimizing a multiphase flow coupling model, an algorithm model, and writing a coupling interface.
[0031] As a further optimization scheme of the present disclosure, the multiphase flow coupling model can be an Euler-Euler multiphase flow model or an Euler-Lagrange multiphase flow model.
[0032] The algorithm model includes a volume fraction algorithm model of the particle phase and the fluid phase, and a drag force algorithm model; the volume fraction algorithm model of the particle phase and the fluid phase can be a particle segmentation algorithm or a porous volume fraction algorithm; the drag force algorithm can be a Freestream model, an Ergun & Wen Yu model, or a Di Felice model.
[0033] The coupling interface is programmed according to the programming interface specification and communication mechanism of the discrete element solver and the fluid mechanics solver; after the coupling interface is programmed, the coupling interface needs to be compiled to generate an executable file or a dynamic link library for calling by the discrete element solver and the fluid mechanics solver; by calling the coupling interface, data exchange and mutual influence between the discrete element solver and the fluid mechanics solver are realized, so that the bidirectional coupling numerical simulation of the multiphase flow containing the particle phase can be realized.
[0034] As a further optimization scheme of the present disclosure, the structural parameters of the drilling tool are changed, the drilling tool model is re-established, and the influence relationship of the structural parameters of the drilling tool on the drilling efficiency in the unconsolidated sediment of the salt cavern can be analyzed by numerical simulation;
[0035] The structural parameters of the drilling tool, the physical parameters of the sediment and the fluid parameters are changed, and the influence relationship of the structural parameters of the drilling tool, the physical parameters of the sediment and the fluid parameters on the drilling efficiency in the unconsolidated sediment of the salt cavern can be analyzed by numerical simulation.
[0036] A coupling numerical simulation analysis system for drilling efficiency in unconsolidated sediment of a salt cavern includes:
[0037] A model construction module is configured to construct a drilling tool model, and construct a discrete element model and a fluid domain model based on the drilling tool model;
[0038] A model coupling solving module is configured to couple the discrete element model and the fluid domain model to obtain a bidirectional coupling numerical model of multiphase flow containing particles and solve the model;
[0039] An analysis module is configured to perform a coupling numerical simulation analysis for drilling efficiency in unconsolidated sediment of a salt cavern based on a solving result.
[0040] An electronic device includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;
[0041] The memory is configured to store a computer program;
[0042] The processor is configured to execute the program stored in the memory to implement a coupling numerical simulation analysis method for drilling efficiency in unconsolidated sediment of a salt cavern.
[0043] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement a coupling numerical simulation analysis method for drilling efficiency in unconsolidated sediment of a salt cavern.
[0044] The present disclosure has the following beneficial effects:
[0045] The present disclosure can quantitatively obtain the drilling efficiency of the drill bit in the non-diagenetic sediment of the salt cavity through the processes of model establishment, solver selection and key parameter setting, algorithm selection, coupling model selection, and solving of the two-way coupled numerical model of the multiphase flow containing the particle phase. By changing the model parameters or the numerical model parameters of the solver, the influence of the structural parameters of the drilling tool, the physical parameters of the sediment, and the fluid parameters on the drilling efficiency in the sediment can be analyzed through numerical simulation, thereby providing theoretical guidance for the drilling in the sediment of the salt cavern gas storage and the effective utilization of the void space. BRIEF DESCRIPTION OF DRAWINGS
[0046] Figure 1 is a flowchart of the present disclosure;
[0047] Figure 2 is a detailed flowchart in an embodiment of the present disclosure;
[0048] Figure 3 is an EDEM discrete element model grid division diagram in an embodiment of the present disclosure;
[0049] Figure 4 is a salt cavity sediment particle size distribution percentage diagram in an embodiment of the present disclosure;
[0050] Figure 5 is a fluid domain grid division diagram in an embodiment of the present disclosure;
[0051] Figure 6 is a fluid domain boundary condition diagram in an embodiment of the present disclosure;
[0052] Figure 7 is a salt cavity sediment drilling hole formation effect diagram under different displacements in an embodiment of the present disclosure; wherein, Figure 7 a is a sediment drilling hole formation diagram under a displacement of 200 L / min (drilling depth 282.73 mm, hole formation area 40821.2 mm 2 ); Figure 7 b is a sediment drilling hole formation diagram under a displacement of 275 L / min (drilling depth 323.22 mm, hole formation area 51308.4 mm 2 ); Figure 7 c is a sediment drilling hole formation diagram under a displacement of 390 L / min (drilling depth 343.32 mm, hole formation area 53060.3 mm 2 ); Figure 7 d is a sediment drilling hole formation diagram under a displacement of 475 L / min (drilling depth 345.74 mm, hole formation area 59444.4 mm 2 );
[0053] Figure 8 is a salt cavity sediment drilling hole formation effect diagram under different drilling tool structural parameters in an embodiment of the present disclosure; wherein, Figure 8Image a shows the effect when there are 4 internal guide impellers (drilling depth 304.5mm, hole area 49069.1mm²). 2 ); Figure 8 Figure b shows the effect when there are 5 internal guide impellers (drilling depth 330.4mm, hole area 51107.1mm²). 2 ); Figure 8 c shows the effect when there are 6 internal guide impellers (drilling depth 323.7mm, hole area 49417.7mm²). 2 );
[0054] Figure 9 This is a system structure block diagram of an embodiment of this disclosure;
[0055] Figure 10 This is a block diagram of the device structure in an embodiment of this disclosure. Detailed Implementation
[0056] The present application will now be described in further detail with reference to the accompanying drawings. It should be noted that the following specific embodiments are only used to further illustrate the present application and should not be construed as limiting the scope of protection of the present application. Those skilled in the art can make some non-essential improvements and adjustments to the present application based on the above application content.
[0057] like Figure 1 As shown, a coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment within salt cavities includes the following steps:
[0058] Construct a drilling tool model, and based on the drilling tool model, construct a discrete element model and a fluid domain model;
[0059] The discrete element model and the fluid domain model are coupled to obtain a bidirectional coupled numerical model of multiphase flow with particles and then solved.
[0060] Based on the solution results, a coupled numerical simulation analysis of drilling efficiency in non-diagenetic sediment within salt cavities was conducted.
[0061] like Figure 2 As shown, it specifically includes the following:
[0062] A drilling tool model is created using computer-aided design software, including but not limited to AutoCAD, Case CAD, etc.
[0063] Using the computer-aided design software, based on the shape, size, and components of the actual drilling tool, the various parts of the drilling tool are drawn, and a three-dimensional geometric model is created.
[0064] After establishing the three-dimensional geometric model of the drilling tool, the geometric model is imported into the discrete element method solver.
[0065] The discrete element solver can typically be an open-source or commercial professional discrete element solver such as PFC, EDEM, LIGGGHTS, YADE, ROCKY DEM, DEMPACK, etc.
[0066] Establishing a discrete element model involves defining and setting particle phase parameters and properties for discrete element simulation based on the drilling tool model.
[0067] The discrete element model is the basic unit for describing and calculating particulate phases.
[0068] Setting the discrete element solver's numerical model parameters includes setting the initial state of the particles, physical properties, boundary conditions, and model parameters.
[0069] Setting the initial state of particles refers to setting the geometry, initial position, velocity, angle, etc. of the sediment particles.
[0070] Setting the physical properties of particles refers to setting the particle size distribution, density, shape, and material properties of the sediment particles.
[0071] Setting boundary conditions for particles refers to setting the contact and boundary restrictions between sludge particles and the equipment wall.
[0072] Setting model parameters refers to selecting the particle collision model, the interparticle friction model, and setting the time step, number of iterations, etc.
[0073] Establishing a fluid domain model involves defining and setting fluid phase parameters and equations for computational fluid dynamics (CFD) simulations, based on the drilling tool model.
[0074] The fluid domain model is the basic framework for describing fluid phase behavior, including equations for mass conservation, momentum conservation, and energy conservation.
[0075] The computational fluid dynamics solver can typically be an open-source or commercial professional computational fluid dynamics (CFD) software such as OpenFOAM, acuSolve, Fluent, CFX, STAR-CCM+, and COMSOL Multiphysics.
[0076] Setting the computational fluid dynamics solver model parameters includes setting the initial state and boundary conditions of the fluid domain, the physical properties of the fluid phase, and the fluid dynamics model.
[0077] Setting the initial state and boundary conditions of the fluid domain includes meshing the fluid domain model, setting the velocity inlet, pressure outlet, wall boundary conditions, time step, etc.
[0078] Setting the physical properties of the fluid phase includes setting information such as fluid density and fluid viscosity.
[0079] Setting up a fluid dynamics model involves selecting an appropriate fluid dynamics model based on the properties of the fluid and the flow conditions.
[0080] The fluid dynamics model can be either an Euler-Euler multiphase flow model or an Euler-Lagrange multiphase flow model.
[0081] Solving the bidirectional coupled numerical model of multiphase flow containing particles includes optimizing the multiphase flow coupling model, algorithm model, writing and compiling the coupling interface, etc.
[0082] The multiphase flow coupling model can typically be either an Euler-Euler multiphase flow model or an Euler-Lagrange multiphase flow model.
[0083] The algorithm models include volume fraction algorithm models for particulate and fluid phases, drag force algorithm models, etc.
[0084] The volume fraction algorithm model for the particulate phase and the fluid phase can be selected from particle segmentation algorithm, porous volume fraction algorithm, etc.
[0085] The drag force algorithm can be selected from the Freestream model, the Ergun & WenYu model, or the Di Felice model.
[0086] The development of the coupling interface requires design based on the programming interface specifications and communication mechanisms of the CFD and DEM solvers. After completing the development of the coupling interface, it needs to be compiled to generate an executable file or dynamic link library for use by the CFD and DEM solvers.
[0087] By calling the coupling interface, data exchange and mutual influence between the CFD and DEM solvers can be realized, thereby enabling bidirectional coupled numerical simulation of the multiphase flow containing particles.
[0088] By changing the structural parameters of the drilling tool and re-establishing the drilling tool model, and repeating the above steps, numerical model analysis can be performed to determine the influence of the structural parameters of the drilling tool on the drilling efficiency in non-diagenetic sediment within salt cavities.
[0089] By changing the numerical model parameters of the discrete element solver or the computational fluid dynamics solver, numerical model analysis can be performed to determine the influence of drilling tool structural parameters, sediment physical property parameters, fluid parameters, etc., on drilling efficiency in non-diagenetic sediment within salt cavities.
[0090] In this embodiment, a three-dimensional model of the drilling tool was established using Case CAD software, taking into account the drilling tool for drilling in salt cavity residue, the high-pressure hydraulic rotary drilling mechanism, and the self-advancing working principle of the drill bit. The tool's structural parameters are as follows: body diameter 140mm, length 380mm, front-end straight nozzle diameter 5.5mm, internal guide impeller blades 5, lead 62mm; tool body has 3 reverse oblique straight nozzles, each with a diameter of 2.9mm, and the nozzle axis forms a 30° angle with the tool body axis; the diameters of the front straight nozzle and the reverse oblique straight nozzle can be optimized according to drilling requirements.
[0091] The established 3D geometric model of the drilling tool was imported into the Discrete Element Method (DEM) solver, with EDEM selected as the DEM solver. The numerical simulation analysis of drilling efficiency within non-diagenetic sediment in salt cavities studies the complex dynamic behavior of solid-particle-fluid systems. It is a two-way coupled numerical simulation of multiphase flow containing particles. EDEM is a discrete element simulation focused on particle flow and particle-structure interaction, possessing rich particle and physical models, as well as powerful two-way coupling capabilities. It can achieve accurate and reliable two-way coupled numerical simulations of multiphase flow containing particles based on CFD-DEM.
[0092] An EDEM discrete element model was established, with dimensions of 1200mm in length and width, and 700mm in height. This discrete element model was then meshed, resulting in a total of 60563 nodes and 339708 mesh elements. Figure 3 As shown.
[0093] Set the discrete element solver model parameters: Based on the indoor test and analysis results of the physical properties of the sediment at the bottom of the salt cavern gas storage tank, determine the geometric shape and particle size distribution characteristics of the sediment particles. Figure 4 The physical properties of the sediment particles, such as density, elastic modulus, and friction coefficient (Table 1), were determined to simulate the motion and interaction of the particles. Damped collision models and Coulomb friction models were selected based on the shape, size, and material properties of the particles.
[0094] Table 1. Parameter settings for the discrete element solver's digital model.
[0095] Parameter Value Particle Poisson's ratio 0.3 Elastic modulus (GPa) 18 Particle density (kg / m3 3 )]]> 2200 Device Poisson's ratio 0.288 Device shear modulus (MPa) 82.3 Device density (kg / m 3 ) 7860 Static friction coefficient (particle-particle) 0.579 Kinetic friction coefficient (particle-particle) 0.00192 Restitution coefficient (particle-device) 0.487
[0096] Fluent was selected as the computational fluid dynamics software for bidirectional coupled numerical simulation of multiphase flow containing particles based on CFD-DEM. A Fluent fluid domain model was established, with dimensions of 1200 mm in length and width, and 700 mm in height. This fluid domain model was meshed, resulting in a total of 102,559 nodes and 550,192 mesh elements. Figure 5 As shown.
[0097] Set the computational fluid dynamics solver model parameters: Set boundary conditions such as... Figure 6As shown, inlet D is the velocity inlet, outlet C is the pressure outlet, set to atmospheric pressure, the remaining surfaces are wall boundary conditions, and the entire volume B is the fluid domain. Clean water or brine is selected as the drilling fluid within the salt cavity sediment, and the fluid properties are determined. Based on the fluid properties and flow conditions, a standard k-ε turbulence model is selected. Considering the time scale of the fluid phase and the stability requirements of the solver, a reasonable time step is chosen for numerical simulation. The data parameters are shown in Table 2.
[0098] Table 2. Computational Fluid Dynamics Solver Model Parameter Settings
[0099] Parameter Value Liquid density 1000 kg / m 3 ]] Liquid viscosity 0.001 Pa s Particle phase volume fraction ≈60％ Liquid phase volume fraction ≈40％ Turbulence model Standard k-ε model CFD time step 1E-4 DEM time step 5E-6 Coupling time step 1E-4
[0100] Example 1 of Simulation Analysis
[0101] Simulation analysis of drilling efficiency in salt cavity sediment under different displacement rates: Rotary percussion drill displacement rates of 200, 275, 390, and 475 L / min were used. Under the premise of ensuring a maximum tool pressure drop of approximately 6 MPa, a coupled simulation analysis of the drilling efficiency of the rotary percussion drill bit in non-diagenetic sediment within a salt cavity was conducted. The coupled calculation time was set to 3 seconds. The hole formation effect in the salt cavity sediment under different displacement rates is shown below. Figure 7 As shown.
[0102] Simulation analysis results: Under the same tool structure parameters and sediment physical property parameters, as the discharge rate increases, the forward rotary drilling depth of the drilling tool is greater, the cross-sectional area of the formed hole is larger, and the drilling efficiency in the sediment is higher in the same amount of time. The back jet can push more particles away or push them to settle around the impact drilling area.
[0103] Example 2 of Simulation Analysis
[0104] Simulation analysis of drilling efficiency in salt cavity sediment under different drilling tool structural parameters: Four, five, and six guide vanes were selected from the drilling tools. Under the same displacement of 275 L / min, a coupled simulation analysis of the drilling efficiency of a rotary percussion drill bit in non-diagenetic salt cavity sediment was conducted. The coupled calculation time was set to 3 seconds. The hole formation effect of different drilling tool structural parameters in salt cavity sediment is shown below. Figure 8 As shown.
[0105] Simulation analysis results: The swirling jets formed by the drilling fluid flowing through the impellers with 4, 5, and 6 blades all have high impact force and can effectively swirl and drill into the sediment, forming good boreholes. In comparison, the swirling jet formed by the 5-blade impeller has the highest drilling efficiency in the sediment.
[0106] like Figure 9 As shown, embodiments of this disclosure provide a coupled numerical model analysis system for drilling efficiency in non-diagenetic sediment within salt cavities, comprising:
[0107] Model building module 11 is used to build a drilling tool model, and to build a discrete element model and a fluid domain model based on the drilling tool model;
[0108] The model coupling solution module 12 is used to couple the discrete element model and the fluid domain model to obtain and solve a two-way coupled numerical model of multiphase flow with particles.
[0109] Analysis module 13 is used for coupled numerical simulation analysis of drilling efficiency in non-diagenetic sediment in salt cavities based on the solution results.
[0110] The implementation process of the functions and roles of each module in the above system is detailed in the implementation process of the corresponding steps in the above method, and will not be repeated here.
[0111] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The system embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.
[0112] In the above embodiments, any number of modules can be combined into one module, or any one module can be split into multiple modules. Alternatively, at least some functionality of one or more modules can be combined with at least some functionality of other modules and implemented in one module. At least one of the modules can be at least partially implemented as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a System-on-Chip, a System-on-Substrate, a System-on-Package, an Application-Specific Integrated Circuit (ASIC), or any other reasonable method of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three methods. Alternatively, at least one of the modules can be at least partially implemented as a computer program module that, when run, performs a corresponding function.
[0113] See Figure 10 The electronic device provided in the embodiments of this disclosure includes a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120 and the memory 1130 communicate with each other through the communication bus 1140.
[0114] Memory 1130 is used to store computer programs;
[0115] When the processor 1110 executes the program stored in the memory 1130, it implements the following coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment in salt cavities.
[0116] The aforementioned communication bus 1140 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, it is represented by only one thick line in the figure, but this does not indicate that there is only one bus or one type of bus.
[0117] The communication interface 1120 is used for communication between the above-mentioned electronic device and other devices.
[0118] The memory 1130 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 1130 may also be at least one storage device located remotely from the aforementioned processor 1110.
[0119] The processor 1110 mentioned above can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0120] Embodiments of this disclosure also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the coupled numerical model analysis method for drilling efficiency within non-diagenetic sediment in salt cavities as described above.
[0121] The computer-readable storage medium may be included in the device / apparatus described in the above embodiments; or it may exist independently and not assembled into the device / apparatus. The computer-readable storage medium carries one or more programs, which, when executed, implement the coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment in salt cavities according to the embodiments of this disclosure.
[0122] According to embodiments of this disclosure, the computer-readable storage medium can be a non-volatile computer-readable storage medium, such as including, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
[0123] The embodiments described above are merely examples of several implementations of this disclosure, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent disclosure. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this disclosure, and these modifications and improvements all fall within the protection scope of this disclosure.
Claims
1. A coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment within salt cavities, characterized in that, Includes the following steps: Construct a drilling tool model, and based on the drilling tool model, construct a discrete element model and a fluid domain model; The discrete element model and the fluid domain model are coupled to obtain a bidirectional coupled numerical model of multiphase flow with particles and then solved. Based on the solution results, a coupled numerical simulation analysis of drilling efficiency in non-diagenetic sediment within salt cavities was conducted.
2. The method for coupled numerical model analysis of drilling efficiency in non-diagenetic sediment in salt cavities according to claim 1, characterized in that, Constructing a drilling tool model specifically includes: Using computer-aided design software, based on the shape, size, and components of the drilling tool, the various parts of the drilling tool are drawn, and a three-dimensional geometric model is created to obtain the drilling tool model.
3. The coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment in salt cavities according to claim 1, characterized in that, The construction of a discrete element model based on the aforementioned drilling tool model specifically includes: Based on the drilling tool model, particle phase parameters and properties for discrete element simulation are defined and set to obtain the discrete element model; Configure the discrete element solver model parameters, including setting the initial state of the particles, the physical properties of the particles, the boundary conditions of the particles, and the model parameters.
4. The coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment in salt cavities according to claim 3, characterized in that, The initial state of the particles includes the geometry, initial position, velocity, and angle of the sediment particles; The physical properties of the particles include the particle size distribution, density, shape, and material properties of the sediment particles. The boundary conditions of the particles include the contact between the sludge particles and the equipment wall and the boundary constraints. Setting the model parameters refers to selecting the particle collision model, the interparticle friction model, and setting the time step and the number of iterations.
5. The method for coupled numerical model analysis of drilling efficiency in non-diagenetic sediment in salt cavities according to claim 1, characterized in that, The construction of the fluid domain model based on the aforementioned drilling tool model specifically includes: Based on the drilling tool model, fluid phase parameters and equations for computational fluid dynamics simulation are defined and set to obtain the fluid domain model; Configure the computational fluid dynamics solver model parameters, including setting the initial state and boundary conditions of the fluid domain, the physical properties of the fluid phase, and the fluid dynamics model.
6. The method for coupled numerical model analysis of drilling efficiency in non-diagenetic sediment in salt cavities according to claim 1, characterized in that, Setting the initial state and boundary conditions of the fluid domain includes meshing the fluid domain model, setting the velocity inlet, pressure outlet, wall boundary conditions, and time step. The physical properties of the fluid phase include fluid density and fluid viscosity; Setting up the fluid dynamics model involves selecting an appropriate fluid dynamics model based on the properties of the fluid and the flow conditions.
7. The method for coupled numerical model analysis of drilling efficiency in non-diagenetic sediment in salt cavities according to claim 1, characterized in that, The coupling of the discrete element model and the fluid domain model yields a bidirectional coupled numerical model of multiphase flow containing particles, and the solution process specifically includes: The discrete element model and the fluid domain model are coupled to obtain a two-way coupled numerical model of multiphase flow containing particles. Solving the two-way coupled numerical model of multiphase flow containing particles includes selecting the multiphase flow coupled model, the algorithm model, and writing the coupling interface.
8. The method for coupled numerical model analysis of drilling efficiency in non-diagenetic sediment in salt cavities according to claim 7, characterized in that, The multiphase flow coupling model can be either an Euler-Euler multiphase flow model or an Euler-Lagrange multiphase flow model. The algorithm model includes a volume fraction algorithm model for particulate phase and fluid phase, and a drag force algorithm model; the volume fraction algorithm model for particulate phase and fluid phase can be selected from particle segmentation algorithm and porous volume fraction algorithm; the drag force algorithm can be selected from Freestream model, Ergun & WenYu model or Di Felice model. The coupling interface is designed according to the programming interface specifications and communication mechanisms of the discrete element solver and the fluid dynamics solver. After the coupling interface is completed, it needs to be compiled to generate an executable file or dynamic link library for the discrete element solver and the fluid dynamics solver to call. By calling the coupling interface, data exchange and mutual influence between the discrete element solver and the fluid dynamics solver can be realized, thereby realizing the bidirectional coupled numerical simulation of multiphase flow containing particles.
9. The coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment in salt cavities according to claim 1, characterized in that, By changing the structural parameters of the drilling tool and re-establishing the drilling tool model, numerical model analysis can be performed to determine the influence of the structural parameters of the drilling tool on the drilling efficiency in non-diagenetic sediment in salt cavities. By changing the numerical model parameters of the discrete element method solver or the computational fluid dynamics solver, numerical model analysis can be used to determine the influence of the structural parameters of the drilling tool, the physical properties of the sediment, and the fluid parameters on the drilling efficiency in the non-diagenetic sediment of the salt cavity.
10. A coupled numerical model analysis system for drilling efficiency in non-diagenetic sediment within salt cavities, characterized in that, include: The model building module is used to build a drilling tool model, and based on the drilling tool model, to build a discrete element model and a fluid domain model. The model coupling solution module is used to couple the discrete element model and the fluid domain model to obtain and solve a two-way coupled numerical model of multiphase flow containing particles. The analysis module is used for coupled numerical simulation analysis of drilling efficiency in non-diagenetic sediment within salt cavities based on the solution results.
11. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; The processor, when executing a program stored in the memory, implements the coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment in salt cavities as described in any one of claims 1-9.
12. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the coupled numerical model analysis method for drilling efficiency in non-diagenetic sediment in salt cavities as described in any one of claims 1-9.