Method and device for determining optimal well completion design scheme

Abstract

The invention discloses a method and a device for determining an optimal well completion design scheme. The method comprises the following steps: acquiring well trajectory data and fluid physical property data of a target well; according to the well trajectory data, the fluid physical property data, preset production control conditions and related data of at least one well completion tool, a preset static model is adopted, and a preliminary well completion design scheme of the target well is determined; the information of the preliminary well completion design scheme comprises related data of a well completion tool; inputting the information of the preliminary well completion design scheme into a preset dynamic model and operating, simulating to obtain full life cycle data of the target well, and determining an optimal well completion design scheme based on the full life cycle data and reversely adjusting the information of the preliminary well completion design scheme; the full life cycle data represents future production data of the target well; the optimal well completion design scheme comprises related data of the well completion tool. The horizontal section segmentation design can be efficiently and accurately determined, and the optimal well completion design scheme is determined.

Description

Technical Field

[0001] This invention relates to the field of horizontal well segmentation optimization design technology in well completion engineering, and particularly to a method and apparatus for determining the optimal well completion design scheme. Background Technology

[0002] Well completion is a crucial component of oil and gas production. Open-hole completion offers advantages such as high initial production, lowest completion cost, and a large wellbore contact area with the reservoir. However, in heterogeneous carbonate reservoirs, open-hole horizontal well completion still presents several challenges. For example, uneven production / injection profiles along the horizontal section, the presence of high-permeability bands, and water / gas fingering breakthroughs are common problems and challenges. Therefore, providing various bottom section completion and smart completion technologies is essential. However, existing technologies rely on single static or single dynamic models for well completion optimization design. Single models have significant limitations and inefficiencies in simulation processes. Therefore, providing a rapid, accurate, and efficient method for designing segmented horizontal well completions is crucial. Summary of the Invention

[0003] Traditional well completion optimization design is generally based on a single model. For example, it may be based on analytical calculation methods of static models for segmented design, or on dynamic models in reservoir numerical simulation software for full life cycle segmented well completion design. Regardless of which model is used, there are obvious limitations in terms of the final reservoir completion optimization effect, the time and workload required for well completion design.

[0004] In view of the above problems, the present invention is proposed to provide a method and apparatus for determining an optimal well completion design scheme to overcome or at least partially solve the above problems.

[0005] In a first aspect, embodiments of the present invention provide a method and apparatus for determining an optimal well completion design scheme, comprising:

[0006] Acquire well trajectory data and fluid property data of the target well, wherein the well trajectory data includes the coordinate information of the target well along the x-axis, y-axis and z-axis;

[0007] Based on the well trajectory data, the fluid property data, the preset production control conditions, and the relevant data of at least one completion tool, a preliminary completion design scheme for the target well is determined using a preset static model; the information in the preliminary completion design scheme includes the relevant data of the completion tool.

[0008] The information of the preliminary well completion design scheme is input into a preset dynamic model and run to simulate the full life cycle data of the target well. Based on the full life cycle data, the information of the preliminary well completion design scheme is adjusted in reverse to determine the optimal well completion design scheme. The full life cycle data represents the future production data of the target well. The optimal well completion design scheme includes relevant data of the well completion tools.

[0009] In one embodiment, determining the preliminary completion design scheme for the target well using a preset static model based on the well trajectory data, the fluid property data, preset production control conditions, and at least one completion tool-related data includes:

[0010] The well trajectory data, the fluid property data, and the preset production control conditions are input into a preset static model. The static model is run to obtain the first production profile curve of the target well. The first production profile curve represents the oil production, water production, and gas production of the target well along the horizontal section.

[0011] Based on the first production profile curve, the relevant data of the completion tool are input into the static model and run to obtain the production data of several target wells. The relevant data of the completion tool corresponding to each production data of the target well is used as a sensitive completion design scheme.

[0012] Based on the production data of several target wells, a sensitive well completion design scheme corresponding to the production data that meets the preset conditions is selected as the preliminary well completion design scheme.

[0013] In one embodiment, based on the first production profile curve, relevant data from the well completion tool are input into the static model and run to obtain production data for several target wells, including:

[0014] Based on the first production profile curve and the preset segmentation conditions, the horizontal section of the target well is segmented.

[0015] Set up relevant data for multiple sets of well completion tools, input the relevant data of each set of well completion tools into the static model and run it to obtain the production data of the target well corresponding to each set of well completion tools.

[0016] In one embodiment, the well trajectory data, the fluid property data, and the preset production control conditions are input into a preset static model, and the static model is run to obtain the formation attribute information along the well of the target well.

[0017] Based on the first production profile curve, the completion tool-related data are input into the static model and run to obtain production data for several target wells and corresponding sensitive completion design schemes, including:

[0018] Based on the first production profile curve, formation attribute information along the well, and preset segmentation conditions, the horizontal segment of the target well is segmented.

[0019] Set up relevant data for multiple sets of well completion tools, input the relevant data of each set of well completion tools into the static model and run it to obtain the production data of the target well corresponding to the relevant data of each set of well completion tools.

[0020] In one embodiment, multiple sets of completion tool data are set, and the relevant data of each set of completion tools is input into the static model and run, including:

[0021] For each segment of the target well's horizontal section, relevant data for the completion tools are set, and the relevant data for the completion tools corresponding to each segment are input into the static model and run.

[0022] In one embodiment, the step of inputting the information of the preliminary well completion design scheme into a preset dynamic model and running it to simulate and obtain the full life cycle data of the target well, and then adjusting the information of the preliminary well completion design scheme in reverse based on the full life cycle data to determine the optimal well completion design scheme, includes:

[0023] The number of segments in the horizontal section of the target well after segmentation processing, and the information of the preliminary well completion design scheme are input into a preset dynamic model. The dynamic model is run to obtain the full life cycle data of the target well. The full life cycle data includes the cumulative oil production, gas-oil ratio, water cut, cumulative oil production of each segment, gas production of each segment, water cut of each segment, and the second production profile data of the target well.

[0024] Based on the second production profile curve, the relevant data of the completion tools used in each horizontal segment of the target well are adjusted in reverse, and the dynamic model is run again to obtain and save the production profile curve of the target well after adjustment.

[0025] Repeat the steps of adjusting the production profile curve of the target well based on the adjusted data, reverse the adjustment of the relevant data of the completion tools used in each horizontal segment of the target well, run the dynamic model again, obtain the production profile curve of the target well after the adjusted data and save it, and obtain multiple production profile curves of the target well after the adjusted data.

[0026] From the production profile curves of the target well after adjusting the multiple data, select the production profile curve that meets the preset conditions as the optimal production profile curve of the target well.

[0027] The relevant data of the completion tools corresponding to the optimal production profile curve are used as the optimal completion design scheme.

[0028] In one embodiment, the preset production control condition is bottom hole flowing pressure data or fixed production output.

[0029] In one embodiment, the relevant data of the well completion tool includes tool type, tool quantity, and tool parameter data.

[0030] In one embodiment, the information for a preliminary well completion case includes relevant data on the well completion tools for each segment of the target well's horizontal section.

[0031] Secondly, embodiments of the present invention provide an apparatus for determining an optimal well completion design scheme, comprising:

[0032] The acquisition module is used to acquire well trajectory data and fluid property data of the target well, wherein the well trajectory data includes the coordinate information of the target well along the x-axis, y-axis and z-axis;

[0033] The module is used to obtain the first completion design scheme of the target well based on the well trajectory data, the fluid property data, the preset production control conditions and the relevant parameter data of the completion tools, using a preset static model.

[0034] The determination module is used to input the information of the first well completion design scheme into a preset dynamic model and run the dynamic model to obtain the full life cycle simulation value of the target well. Based on the full life cycle simulation value, the information of the first well completion design scheme is adjusted in reverse to determine the second well completion design scheme as the optimal well completion design scheme of the target well.

[0035] Thirdly, embodiments of the present invention provide a computer storage medium storing computer-executable instructions, which, when executed by a processor, implement the aforementioned method for determining the optimal well completion design scheme.

[0036] Fourthly, embodiments of the present invention provide a terminal device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the aforementioned method for determining the optimal well completion design scheme.

[0037] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:

[0038] The method for determining the optimal well completion design scheme provided in this invention embodiment, based on the well trajectory data of the target well (the well trajectory data includes the coordinate information of the target well's x, y, and z axes), fluid property data, preset production control conditions, and relevant data of the well completion tools, obtains a preliminary well completion design scheme including the relevant data of the well completion tools through a static model. Then, the information of the preliminary well completion design scheme is input into a preset dynamic model, and the dynamic model is run to obtain the full life cycle data of the target well. Finally, based on the obtained full life cycle data, the information of the preliminary well completion design scheme is adjusted in reverse to obtain the optimal well completion design scheme. This method utilizes a static reservoir model by coupling the static and dynamic models. Accurate production profiles are obtained by fitting production logging data. The lower completion design is optimized through completion tool sensitivity analysis. The entire life cycle is simulated using a dynamic model, and the final detailed lower completion design is calibrated in reverse. This method can quickly obtain the calculation results of segmented completions and simulate the production situation of the target well throughout its entire life cycle. This allows for the efficient and accurate determination of the horizontal segment design and the relevant data of the completion tools required for the lower completion design. It overcomes the problem that the lower completion design of conventional static and dynamic models is not the optimal solution throughout the entire life cycle, and determines the optimal completion design scheme. It is especially suitable for reservoirs with strong heterogeneity and wells with uneven production profiles, and can better meet development needs.

[0039] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0040] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0041] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0042] Figure 1 This is a flowchart of the method for determining the optimal well completion design scheme in Embodiment 1 of the present invention;

[0043] Figure 2 This is a flowchart of the method for determining the preliminary completion design scheme of the target well in Embodiment 1 of the present invention;

[0044] Figure 3 This is a schematic diagram of the first production profile curve in Embodiment 1 of the present invention;

[0045] Figure 4This is a schematic diagram of the formation properties along the well in Embodiment 1 of the present invention;

[0046] Figure 5 This is a flowchart of the method for determining several sensitive well completion design schemes in Embodiment 1 of the present invention;

[0047] Figure 6 This is a schematic diagram of the horizontal segmentation of the target well in Embodiment 1 of the present invention;

[0048] Figure 7 This is a schematic diagram illustrating the impact of different well completion tool types on the inflow profile in Embodiment 1 of the present invention;

[0049] Figure 8 This is a schematic diagram illustrating the impact of different numbers of well completion tools on the inflow profile in Embodiment 1 of the present invention.

[0050] Figure 9 This is a flowchart of the method for determining the optimal well completion design scheme in Embodiment 1 of the present invention;

[0051] Figure 10 This is a schematic diagram showing the coupling of the well completion design obtained from the static model into the dynamic model in Embodiment 1 of the present invention;

[0052] Figure 11 This is a comparison chart of production data from two well completion design schemes in Embodiment 1 of the present invention.

[0053] Figure 12 This is a schematic diagram of the device for determining the optimal well completion design scheme in an embodiment of the present invention. Detailed Implementation

[0054] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0055] To address the significant shortcomings and inefficiencies of existing technologies in horizontal well segment completion optimization design, which rely on a single static or dynamic model, this invention provides a method and apparatus for determining the optimal completion design scheme.

[0056] Example 1

[0057] Embodiment 1 of the present invention provides a method for determining the optimal well completion design scheme, the process of which is as follows: Figure 1 As shown, it includes the following steps:

[0058] Step S1: Obtain the well trajectory data and fluid property data of the target well. The well trajectory data includes the coordinate information of the target well's x-axis, y-axis and z-axis.

[0059] Step S2: Based on well trajectory data, fluid property data, preset production control conditions, and relevant data of at least one completion tool, a preset static model is used to determine the preliminary completion design scheme for the target well; the information in the preliminary completion design scheme includes relevant data of the completion tool.

[0060] Step S3: Input the information of the preliminary well completion design scheme into the preset dynamic model and run it to simulate the full life cycle data of the target well. Based on the full life cycle data, adjust the information of the preliminary well completion design scheme in reverse to determine the optimal well completion design scheme. The full life cycle data represents the future production data of the target well. The optimal well completion design scheme includes the relevant data of the well completion tools.

[0061] This invention presents a method for segmented well completion design based on a static model and for predicting production dynamics using a dynamic model. It combines the advantages of static model analytical methods, which can quickly obtain segmented well completion calculation results, with the advantages of dynamic models, which can simulate the entire lifecycle of a well and calculate its production performance. A coupling relationship is established between the static and dynamic models. By rapidly optimizing the calculation of segmented well completion parameters for the horizontal section of the target well in the static model, the completion parameters calculated by the static model are coupled into the dynamic model. This allows for the calculation of the development effect of segmented well completion across the entire reservoir and time period, followed by reverse fine-tuning to obtain the optimal segmented well completion design scheme for the horizontal section of the target well. This method can quickly, accurately, and effectively optimize the completion parameters of the horizontal section of the target well, while simultaneously simulating and predicting the full lifecycle production dynamics of the target well after the completion design.

[0062] The heterogeneity of carbonate reservoirs is the cause of gas and water cones in production wells during development, reducing swept volume and oil displacement efficiency. Targeted completion optimization designs for each horizontal well in the reservoir can achieve better control of the production inflow profile, resulting in stable oil production and controlled flow, thereby improving the swept efficiency and oil displacement efficiency of each horizontal well. To more clearly illustrate the implementation examples, the horizontal well requiring completion optimization design is also called the target well. It should be noted that the selected target well must meet at least the following requirements: a) The target well is geologically and engineeringally representative, thus exhibiting typical characteristics and problems. If the lower completion effect of the target well is good, the lower completion scheme can be further implemented in other wells; b) The target well is feasible and operable in the future and is still in the planning stage; c) The target well can verify the proposed lower completion effect through numerical simulation.

[0063] In some optional embodiments, the preset production control conditions in step S1 above are bottom hole flowing pressure data or fixed production rate, wherein the bottom hole flowing pressure data or fixed production rate is consistent with the reservoir engineering production allocation requirements, which are determined based on expert experience; the fluid property data include the density values, volume coefficient values ​​and relative permeability values ​​of the three phases of oil, gas and water, which are obtained by testing during the development process, and the testing methods are existing technologies, which are not limited in this embodiment of the present invention.

[0064] In some alternative embodiments, the data related to the completion tools include tool type, tool quantity, and tool parameter data. For example, Automatic Inflow Control Device (AICD), Inflow Control Device (ICD), and Inflow Control Valve (ICV) are all completion tools. In different reservoirs, the quantity of each type of completion tool may be different, and the tool parameters corresponding to each tool may not be entirely the same.

[0065] In some optional embodiments, the preliminary completion design scheme for the target well is determined in step S2 above, with reference to... Figure 2 As shown, this can be achieved through the following steps:

[0066] Step S21: Input the well trajectory data, fluid property data and preset production control conditions into the preset static model, run the static model, and obtain the first production profile curve of the target well; the first production profile curve represents the oil production, water production and gas production of the target well along the horizontal section;

[0067] Step S22: Based on the first production profile curve, input the relevant data of the completion tool into the static model and run it to obtain the production data of several target wells. Use the relevant data of the completion tool corresponding to each production data of the target well as the sensitive completion design scheme.

[0068] Step S23: Based on the production data of several target wells, select the sensitive well completion design scheme corresponding to the production data that meets the preset conditions as the preliminary well completion design scheme.

[0069] The inputs to the static model include well trajectory parameters, fluid property parameters, and production control conditions. The production control conditions data are the bottom hole flowing pressure data or fixed production rate under the reservoir engineering production requirements. The fluid property data are the density, volume coefficient, and relative permeability values ​​of the oil, gas, and water phases. In step S21, the well trajectory data, bottom hole flowing pressure data (or fixed production rate), density, volume coefficient, and relative permeability values ​​of the oil, gas, and water phases of the target well are input into the static model. The static model is run to simulate the production of the target well and obtain the first production profile curve, formation properties along the well, total oil production, gas-oil ratio, and water cut of the target well. The first production profile curve represents the oil production, water production, and gas production along the well section of the target well.

[0070] The execution process of step S21 is also known as naked-eye well completion, see reference. Figure 3 and Figure 4 As shown, Figure 3 This is a schematic diagram of the first production profile curve obtained after running a static model of a target well. Figure 4 A schematic diagram of formation properties along the well obtained after running a static model for the same target well.

[0071] In some optional embodiments, step S22 above is referred to Figure 5 As shown, the steps to determine several sensitive well completion design schemes are as follows:

[0072] Step S221: Based on the first production profile curve and the preset segmentation conditions, the horizontal section of the target well is segmented;

[0073] To more clearly illustrate the horizontal segmentation results of the target well, refer to Figure 6 As shown, Figure 6 The diagram shows the horizontal segmentation of the target well, which is divided into 5 segments. K represents permeability, Qw represents water production, Qo represents oil production, and Qg represents gas production.

[0074] Step S222: Set the relevant data for multiple sets of well completion tools, input the relevant data of each set of well completion tools into the static model and run it to obtain the production data of the target well corresponding to each set of well completion tools.

[0075] Observe the above Figure 3 It can be observed that the oil production along the well section of the target well is not the same in the first production profile curve. This is due to the heterogeneity of the reservoir in the horizontal section. Based on the first production profile curve, the horizontal section of the target well is divided into several segments according to the preset segmentation conditions. For example, the segmentation condition is that the difference in oil production between two adjacent measuring points is within the preset threshold range.

[0076] The inventors discovered from experimental data that using different tool types or numbers of tools on the same segment yielded different inflow profiles. (Refer to...) Figure 7 and Figure 8 As shown, Figure 7 This diagram illustrates the impact of different well completion tool types and their segmentation on the inflow profile. Figure 7 In addition, different types of well completion tools also result in different inflow profiles; Figure 8 This diagram illustrates the impact of different numbers of completion tools on the inflow profile. Figure 8 In this study, different numbers of AICD tools resulted in different inflow profiles.

[0077] After determining the segments, for each segment of the target well's horizontal section, the tool type, quantity, and parameter data of the completion tools are set. The tool type, quantity, and parameter data of the completion tools corresponding to each segment are input into the static model and run. To illustrate with an example, a certain oil reservoir has two types of completion tools, tool A and tool B. There are 2 pieces of tool A, and tool A has one parameter, whose parameter data can be a1 or a2. There are 2 pieces of tool B, and tool B has one parameter, whose parameter data can be b1 or b2. The horizontal section of a target well in this oil reservoir is divided into two segments, denoted as segment one and segment two, respectively. Then, the two segments, tools A with different quantities and different parameter data, and tools B with different quantities and different parameter data are arranged and combined to obtain multiple sets of tool design schemes (a set of tool design schemes is a set of relevant data for completion tools). The information of each set of tool design schemes includes the completion tools set for each segment of the target well, the quantity of the completion tools set, and the parameter data of each completion tool.

[0078] Set production control conditions for the static model to ensure consistency with the production control conditions set for open-hole completion. Input the information of each tool design scheme into the static model, and then run the static model to simulate the production data of the target well to obtain the production data of the target well corresponding to each set of completion tools. The production data of the target well includes the production profile curve, total oil production, gas-oil ratio, and water cut. Use the relevant data of the completion tools corresponding to the production data of the target well corresponding to each set of completion tools as a sensitive completion design scheme. In other words, the information of any set of tool design schemes is a sensitive completion design scheme. The process of obtaining a sensitive completion design scheme is actually a sensitivity analysis of the target well for different completion tool types, different tool quantities, and different tool parameter data.

[0079] In some optional embodiments, after obtaining production data of target wells corresponding to multiple sets of completion tools, the production profile curves, total oil production, gas-oil ratio, and water cut in each set of production data are compared. Specifically, the production profile curves, total oil production, gas-oil ratio, and water cut of each set of production data are compared. Based on preferred requirements such as uniform production profile curves, high total oil production, low gas-oil ratio, and low water cut, the relevant data of the completion tools corresponding to the production data are selected. For example, the production profile curve can be obtained through... The difference between the maximum and minimum values ​​of the curve is filtered within a threshold range. Total oil production, gas-oil ratio, and water cut can be filtered using thresholds. For example, based on the aforementioned preferred requirements, experts select sensitive completion design schemes from the production data of the target wells corresponding to each group of completion tools. In step S23 above, the preset conditions are determined based on the aforementioned preferred requirements and actual conditions. This embodiment of the invention does not impose any restrictions. The selected sensitive completion design schemes are used as preliminary completion design schemes. The information of the preliminary completion case includes the relevant data of the completion tools for each segment of the horizontal section of the target well.

[0080] In some optional embodiments, the method for determining the optimal well completion design scheme in step S3 above is referred to Figure 9 As shown, this can be achieved in the following way:

[0081] Step S31: Input the number of segments in the horizontal section of the target well after segmentation and the information of the preliminary well completion design into the preset dynamic model, run the dynamic model, and obtain the full life cycle data of the target well; the full life cycle data includes the cumulative oil production, gas-oil ratio, water cut, cumulative oil production of each segment, gas production of each segment, water cut of each segment, and the second production profile data of the target well;

[0082] Step S32: Based on the second production profile curve, reverse the adjustment of the relevant data of the completion tools used in each horizontal segment of the target well, run the dynamic model again, obtain the production profile curve of the target well after adjustment, and save it;

[0083] Step S33: Repeat the steps of adjusting the relevant data of the completion tools used in each horizontal segment of the target well according to the production profile curve of the target well after adjustment data, running the dynamic model again, obtaining the production profile curve of the target well after adjustment data and saving it, to obtain multiple production profile curves of the target well after adjustment data.

[0084] Step S34: Select the production profile curve that meets the preset conditions from the production profile curves of the target well after multiple adjustment data, and use it as the optimal production profile curve of the target well.

[0085] Step S35: Use the relevant data of the completion tools corresponding to the optimal production profile curve as the optimal completion design scheme.

[0086] The number of segments and information from the preliminary completion design scheme (completion tool type, completion tool parameters, and tool quantity for each segment) obtained from the static model are input into the dynamic model. Simultaneously, the production control conditions (bottom hole flowing pressure or fixed production rate) are set for the dynamic model. It is important to note that the same production control conditions are set as for open-hole completion. The dynamic model is then run to perform a full lifecycle numerical simulation of the target well, obtaining full lifecycle data. This data includes changes in the target well's future cumulative oil production, gas-oil ratio, and water cut, as well as the cumulative oil production profile, gas production profile, and water production profile for each segment along the well. Based on the strength of the production profile non-uniformity, the tool parameters of the completion tools used in the completion design scheme are fine-tuned in reverse. After fine-tuning, the dynamic model is run again for further dynamic numerical simulation. Finally, by comparing the cumulative oil production, gas-oil ratio, and water cut of different lower completion cases after fine-tuning, as well as the uniformity of the production profile, the optimal production profile curve is selected to achieve the highest recovery rate and the highest efficiency. Correspondingly, the relevant data of the completion tools corresponding to the optimal production profile curve are used as the optimal completion design scheme. The method of selecting the optimal production profile curve is the same as the aforementioned method of selecting the preliminary completion design scheme from multiple sensitive completion design schemes. This embodiment of the invention is not limited here.

[0087] Combination Figure 10 and Figure 11 As shown, Figure 10 This means that information about the number of horizontal segments of the target well and the preliminary well completion design scheme obtained from the static model is coupled into the dynamic model. Figure 11 This chart compares the lifecycle data of a target well using the optimal completion design scheme determined by embodiments of the present invention with the lifecycle data of a target well using only the dynamic model-determined completion design scheme. Figure 11 In the diagram, the top left corner represents cumulative oil production, the top right corner represents monthly oil production, the bottom left corner represents water cut, the bottom right corner represents the gas-oil ratio, and red represents the full lifecycle data of the target well under the optimal completion design scheme. Figure 11 As can be seen from the results, under both well completion design schemes, the optimal well completion design scheme determined by the embodiments of the present invention results in a higher cumulative oil production and a more stable monthly oil production.

[0088] Example 2:

[0089] Embodiment 2 of the present invention provides a method for determining the optimal well completion design scheme. The difference between the method for determining the optimal well completion design scheme provided in Embodiment 2 and Embodiment 1 lies in the different basis for the horizontal segmentation of the target well.

[0090] In some optional embodiments, in step S21 above, well trajectory data, fluid property data and preset production control conditions are input into a preset static model, the static model is run, and the formation attribute information along the well of the target well is also obtained.

[0091] Then, in step S22 above, based on the first production profile curve, the relevant data of the well completion tool are input into the static model and run to obtain the production data of several target wells. This can be achieved in the following way:

[0092] (1) Based on the first production profile curve, formation attribute information along the well and the preset segmentation conditions, the horizontal section of the target well is segmented;

[0093] (2) Set up relevant data for multiple sets of well completion tools, input the relevant data of each set of well completion tools into the static model and run it to obtain the production data of the target well corresponding to the relevant data of each set of well completion tools.

[0094] Based on the same inventive concept, embodiments of the present invention also provide a device for determining the optimal well completion design scheme, the structure of which is as follows: Figure 12 As shown, it includes:

[0095] The acquisition module 61 is used to acquire well trajectory data and fluid property data of the target well. The well trajectory data includes the coordinate information of the target well's x-axis, y-axis and z-axis.

[0096] Module 62 is used to obtain the first completion design scheme of the target well based on well trajectory data, fluid property data, preset production control conditions and completion tool related parameter data, using a preset static model;

[0097] The determination module 63 is used to input the information of the first well completion design scheme into the preset dynamic model and run the dynamic model to obtain the full life cycle simulation value of the target well. Based on the full life cycle simulation value, the information of the first well completion design scheme is adjusted in reverse to determine the second well completion design scheme as the optimal well completion design scheme for the target well.

[0098] Regarding the apparatus for determining the optimal well completion design scheme in the above embodiments, the specific methods by which each module performs its operations have been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0099] Based on the same inventive concept, embodiments of the present invention also provide a computer storage medium storing computer-executable instructions, which, when executed by a processor, implement the aforementioned method for determining the optimal well completion design scheme.

[0100] Based on the same inventive concept, embodiments of the present invention also provide a terminal device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the aforementioned method for determining the optimal well completion design scheme.

[0101] Unless otherwise specifically stated, terms such as processing, calculation, operation, determination, display, etc., may refer to the actions and / or processes of one or more processing or computing systems or similar devices that represent the manipulation and conversion of data representing physical (e.g., electronic) quantities within the registers or memory of the processing system into other data similarly representing physical quantities within the memory, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals can be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description can be represented by voltage, current, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0102] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0103] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, with each claim representing a separate preferred embodiment of the invention.

[0104] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0105] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software modules can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0106] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory units and executed by a processor. The memory units can be implemented within the processor or outside the processor; in the latter case, they are communicatively coupled to the processor via various means, as is well known in the art.

[0107] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is interpreted in a manner similar to the term "including," as interpreted when used as a conjunction in the claims. Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or."

Claims

1. A method of determining an optimal completion design, comprising: The application relates to a well completion design method and system. The application comprises the following steps: obtaining well trajectory data and fluid property data of a target well, wherein the well trajectory data comprises coordinate information of the target well on an x-axis, a y-axis and a z-axis; determining a preliminary well completion design scheme of the target well by using a preset static model according to the well trajectory data, the fluid property data, preset production control conditions and related data of at least one well completion tool; the information of the preliminary well completion design scheme comprises related data of the well completion tool; 2. The method of claim 1, wherein, inputting the information of the preliminary well completion design scheme into a preset dynamic model and running the dynamic model to simulate full life cycle data of the target well, and adjusting the information of the preliminary well completion design scheme reversely based on the full life cycle data to determine an optimal well completion design scheme; the full life cycle data represent future production data of the target well; and the optimal well completion design scheme comprises related data of the well completion tool. The step of determining the preliminary well completion design scheme of the target well by using the preset static model according to the well trajectory data, the fluid property data, the preset production control conditions and the related data of the at least one well completion tool comprises the following steps: inputting the well trajectory data, the fluid property data and the preset production control conditions into a preset static model, running the static model and obtaining a first production profile curve of the target well; the first production profile curve represents oil production, water production and gas production of the target well along a horizontal section; based on the first production profile curve, inputting related data of a well completion tool into the static model and running the static model to obtain a plurality of production data of the target well, and taking related data of the well completion tool corresponding to each production data of the target well as a sensitive well completion design scheme; 3. The method of claim 2, wherein, based on the plurality of production data of the target well, selecting a sensitive well completion design scheme corresponding to production data satisfying a preset condition as the preliminary well completion design scheme. The step of inputting related data of a well completion tool into the static model and running the static model to obtain a plurality of production data of the target well based on the first production profile curve comprises the following steps: based on the first production profile curve and a preset segmentation condition, segmenting the horizontal section of the target well; 4. The method of claim 2, wherein, setting a plurality of groups of related data of well completion tools, inputting related data of each group of well completion tools into the static model and running the static model to obtain production data of the target well corresponding to each group of well completion tools. The step of inputting the well trajectory data, the fluid property data and the preset production control conditions into a preset static model and running the static model further obtains along-hole formation attribute information of the target well; The step of inputting related data of a well completion tool into the static model and running the static model to obtain a plurality of production data of the target well and corresponding sensitive well completion design schemes based on the first production profile curve comprises the following steps: based on the first production profile curve, the along-hole formation attribute information and a preset segmentation condition, segmenting the horizontal section of the target well; setting a plurality of groups of related data of well completion tools, inputting related data of each group of well completion tools into the static model and running the static model to obtain production data of the target well corresponding to related data of each group of well completion tools.

5. The method of claim 3 or 4, wherein, Setting the related data of multiple sets of completion tools, inputting the related data of each set of completion tools into the static model and running, comprising: For each segment of the target well horizontal section, the related data of the completion tools is set respectively, and the related data of the completion tools corresponding to each segment is input into the static model and run.

6. The method of claim 5, wherein, The information of the preliminary completion design scheme is input into a preset dynamic model and run, and the full life cycle data of the target well is simulated, based on the full life cycle data, the information of the preliminary completion design scheme is adjusted reversely to determine the optimal completion design scheme, comprising: The number of segments of the target well horizontal section after segmentation and the information of the preliminary completion design scheme are input into a preset dynamic model, and the dynamic model is run to obtain the full life cycle data of the target well; the full life cycle data includes the cumulative oil production, gas-oil ratio, water cut of the target well, the cumulative oil production of each segment, the gas production of each segment and the water content of each segment, and the second production profile data of the target well; Based on the second production profile curve, the related data of the completion tools used in each horizontal segment of the target well is adjusted reversely, and the dynamic model is run again to obtain the production profile curve of the target well after adjustment and save; The step of repeatedly executing the production profile curve of the target well after adjustment, adjusting the related data of the completion tools used in each horizontal segment of the target well reversely, running the dynamic model again, obtaining the production profile curve of the target well after adjustment and saving is repeated to obtain multiple production profile curves of the target well after adjustment; From the multiple production profile curves of the target well after adjustment, a production profile curve meeting the preset condition is selected as the optimal production profile curve of the target well; The related data of the completion tools corresponding to the optimal production profile curve is taken as the optimal completion design scheme.

7. The method of claim 1, wherein, The preset production control condition is bottom hole flowing pressure data or fixed production.

8. The method of claim 1, wherein, The related data of the completion tools includes tool type, tool quantity and tool parameter data.

9. The method according to any one of claims 6 to 8, wherein, The information of the preliminary completion case includes the related data of the completion tools of each segment of the target well horizontal section.

10. An apparatus for determining an optimal completion design, comprising: Comprising: An acquisition module is configured to acquire well trajectory data and fluid property data of a target well, wherein the well trajectory data includes coordinate information of x-axis, y-axis and z-axis of the target well; A obtaining module is configured to obtain a first completion design scheme of the target well by using a preset static model based on the well trajectory data, the fluid property data, a preset production control condition and completion tool related parameter data. A determining module is configured to input information of the first completion design scheme into a preset dynamic model and run the dynamic model to obtain full life cycle simulation values of the target well, and adjust the information of the first completion design scheme reversely based on the full life cycle simulation values to determine a second completion design scheme as an optimal completion design scheme of the target well.

11. A computer storage medium, characterized in that The computer storage medium stores computer executable instructions, and the computer executable instructions are executed by a processor to implement the method for determining the optimal well completion design scheme in any one of claims 1-7.

12. A terminal device, comprising: The computer storage medium stores computer executable instructions, and the computer executable instructions are executed by a processor to implement the method for determining the optimal well completion design scheme in any one of claims 1-7. The computer storage medium stores computer executable instructions, and the computer executable instructions are executed by a processor to implement the method for determining the optimal well completion design scheme in any one of claims 1-7.

Images