Integrated end-to-end system for downhole system design and optimization

Abstract

A system for end-to-end design of a downhole system includes a unified digital platform including a software system configured to generate a completion design as part of a design process, the software system including a plurality of modular design tools. The digital platform includes a data processing module configured to consolidate data from a plurality of sources and standardize the data. The data processing module is configured to access at least one modular design tool stored at a remote location. The digital platform also includes a user interface configured to provide real-time updates and visualizations of the design process, and a risk analysis module configured to identify a potential operational risk during the design process.

Description

OMS-511332-WO-3_BAO2362PCTINTEGRATED END-TO-END SYSTEM FOR DOWNHOLE SYSTEM DESIGN AND OPTIMIZATIONCROSS REFERENCE TO RELATED APPLICATIONS

[0001] This application claims the benefit of an earlier filing date from U.S. Provisional Application Serial No. 63 / 762,284 filed February 24, 2025, the entire disclosure of which is incorporated herein by reference.BACKGROUND

[0002] Some forms of energy production involve a number of diverse activities from various engineering fields to be performed in a borehole penetrating a subterranean region. For example, various drilling, exploration, stimulation and production processes are performed in the context of producing hydrocarbons. Other activities include carbon sequestration and geothermal energy recovery.

[0003] Various computer software programs are provided to assist in designing completions and other borehole systems. These software programs are used to facilitate the process of designing and implementing strategies for wells, as well as analyzing reservoir data, simulating various scenarios, and optimizing production outcomes.SUMMARY

[0004] An embodiment of a system for end-to-end design of a downhole system includes a unified digital platform including a software system configured to generate a completion design as part of a design process, the software system including a plurality of modular design tools. The digital platform includes a data processing module configured to consolidate data from a plurality of sources and standardize the data. The data processing module is configured to access at least one modular design tool stored at a remote location. The digital platform also includes a user interface configured to provide real-time updates and visualizations of the design process, and a risk analysis module configured to identify a potential operational risk during the design process.

[0005] An embodiment of a method of designing a downhole system includes collecting data related to a planned downhole operation from a plurality of different source, and performing a design process using a unified digital platform including a software system configured to generate a completion design, the software system including a plurality of modular design tools. The design process includes consolidating and standardizing the data,OMS-511332-WO-3_BAO2362PCTselecting locations and properties of one or more downhole component designs using at least one modular design tool, performing a risk analysis to identify a potential operational risk associated with the selected locations and properties, providing real-time updates and visualizations of the design process via a user interface, and outputting the completion design.BRIEF DESCRIPTION OF THE DRAWINGSL0006 J The following descriptions should not be considered limiting in any way. With reference to the accompanying drawings, like elements are numbered alike:

[0007] Figure 1 depicts an embodiment of a downhole system for performing a production operation;

[0008] Figure 2 depicts an embodiment of a processing system;

[0009] Figure 3 depicts an architecture of a modular end-to-end design and simulation system;

[0010] Figure 4 depicts a design process workflow illustrating aspects of a method of designing a borehole system;

[0011] Figure 5 depicts an example of a user interface;

[0012] Figure 6 depicts a processing platform for use in drilling, completion design and production.DETAILED DESCRIPTION

[0013] Systems and methods are described for end-to-end borehole system planning, simulation and / or optimization. An embodiment of a system includes a design platform that integrates disparate software tools and systems, allowing for seamless interaction between tools used for borehole system design. In an embodiment, the borehole system includes a completion for performing a production operation.

[0014] The system includes a plurality of different tools used in a design process, which may be accessed locally or provided via a network. The tools may be modular, allowing users to customize the system to their needs. In an embodiment, the system is configured as a software as a service (SaaS) system.

[0015] Embodiments described herein present a number of advantages that enhance planning and design processes. These advantages include improved connectivity, improved efficiency and speed of design processes, and improved user interactions.

[0016] Embodiments described herein allow for seamless interaction between different design tools, such as reservoir modeling, wellbore design, completion design, hydraulicOMS-511332-WO-3_BAO2362PCTfracturing design / sand control modeling, well intervention planning and / plug and abandon modeling tools. This improved interconnectivity of disparate systems enhances decisionmaking and collaboration.

[0017] Embodiments described herein provide for an integrated end-to-end well planning system, which provides a portal that seamlessly connect all aspects of completion design and modeling, thereby enhancing decision-making, collaboration, and operational efficiency.

[0018] Other advantages include risk reduction (e.g., via an integrated risk analysis tool or tools) by identifying and mitigating potential issues early in a design process. Streamlined workflows and processes reduce inefficiencies and optimize resource use, and advanced modeling and simulation tools optimize completion designs, maximizing production.

[0019] Overall, the embodiments described herein represent a significant advancement in well completions planning technology, offering a comprehensive, integrated solution that enhances decision-making, collaboration, and operational efficiency while reducing risks and optimizing production outcomes.

[0020] Figure 1 depicts an example of a downhole system 10 configured to perform a subterranean operation. The downhole system 10 in this example is a resource or energy production system 10 that includes a borehole string 12 disposed in a borehole 14 extending into a subterranean region or a resource bearing formation, such as an earth formation 16. This example is provided for illustration purposes, as the embodiments described herein may be applicable to a variety of downhole systems having various tools, devices and configurations (e.g., hydraulic fracturing and other stimulation systems, measurement systems, completions, multi-casing systems, etc.)

[0021] The borehole string 12 includes a completion string that extends through a casing 28 and includes a production assembly 18. The production assembly 18 includes a screen assembly 20, and an inflow control system 22 configured to control the flow of production fluids into the borehole string 12 based on factors including changes in viscosity. For example, the inflow control system 22 controls the flow of fluid from the screen assembly 20. The inflow control system 22 includes a valve 24, such as an inflow control device (ICD), disposed in a body 26 of the inflow control system 22. The ICD or valve 24 is in fluid communication with production fluid from the screen assembly 20, and is in fluid communication with a production bore 30.

[0022] As described herein, “production fluid” is any fluid or combination of fluids (e.g., water, gas and / or oil) extracted from the earth formation 16. Production fluid may alsoOMS-511332-WO-3_BAO2362PCTinclude fluids injected into the borehole string 12 and / or the borehole 14. In an example, as shown in Figure 1, the borehole string 12 includes a main production conduit 32 (e.g., bore) for flowing production fluid to the surface.

[0023] The production assembly 18 may include additional components, such as one or more packer assemblies 34 configured to isolate components and / or zones in the borehole 12. For example, the packer assemblies 34 are activated to isolate a section of the borehole 14 that includes the production assembly 18 and the inflow control system 22.

[0024] The system 10 also includes surface equipment 36 such as a drill rig, rotary table, top drive, blowout preventer and / or others to facilitate deploying the borehole string 12, operating various downhole components, monitoring downhole conditions and controlling fluid circulation through the borehole 14 and the borehole string 12. For example, the surface equipment 36 includes a fluid control system 38 including one or more pumps in fluid communication with a fluid tank 40 or other fluid source. The fluid control system 38 facilitates injection of fluids, drilling fluid (e.g., drilling mud), stimulation fluid (e.g., a hydraulic fracturing fluid), gravel slurries, proppant, and others.

[0025] One or more components of the borehole string 12 may be configured to communicate with a surface location (e.g., the surface equipment 36). The communication may be wired or wireless. A processing device, such as a surface processing unit 42 and / or a subsurface processing unit 44, may be operably connected to surface and / or downhole components.

[0026] Various tools and / or sensors may be incorporated in the system 10. One or more measurement tools can be deployed downhole for measuring parameters, properties or conditions of the borehole, formation and / or downhole components. Examples of sensors include temperature sensors, pressure sensors, flow measurement sensors, porosity sensors (e.g., nuclear sensors or acoustic sensors), fluid property sensors and others.

[0027] The embodiments are described in conjunction with designing completions for production of hydrocarbons. Completions generally include tubulars, devices and instrumentation that are deployed downhole in a desired configuration to manage production operations. The embodiments are not so limited and may be applicable to various downhole systems, such as logging-while-drilling systems, stimulation systems, injection systems, exploration, geothermal energy systems and carbon sequestration systems.

[0028] Figure 2 is a block diagram of an example of a computer system, referred to as a design and simulation system 50 or design system 50. The design system 50 can be used to perform aspects of embodiments described herein.OMS-511332-WO-3_BAO2362PCT

[0029] The design system 50 provides a unified digital platform configured to integrate various well design and planning tools. A unified digital platform can be understood as a software environment that brings together multiple functionalities into a single interface. This integration allows for seamless interaction between functions such as reservoir modeling, well design, completion design, hydraulic fracturing design, sand control modeling, well intervention planning and plug and abandon modeling. A technical advantage of this integration is the improved interconnectivity of disparate systems, which enhances decisionmaking and collaboration.

[0030] The design system 50 is a digital end-to-end well completions planning system, which includes a software application designed to assist in the planning and optimization of well systems and operations.

[0031] The design system 50 includes a data processing module 52 configured to consolidate data from multiple sources, and facilitate design processes and simulations to optimize production outcomes. The data processing module 52 is a component that processes and analyzes data to generate insights. By consolidating data, the system 50 reduces redundancy and ensures accuracy, leading to optimized production outcomes. This capability reduces costs and improves operational efficiency.

[0032] The data processing module 52 includes suitable components such as a processor 54, memory 56 and a user interface 58. The memory 56 stores data and programs, such as input data from a user or other processors and programs.

[0033] In one embodiment, the memory 56 stores various processing or program modules for performing aspects of embodiments described herein, which may be incorporated into a program suite. The data processing module 52 may be part of one or more computing devices, such as server machines, desktop computers, laptops, smartphones, tablets and other mobile devices.

[0034] A user interface 58 is included for displaying information to a user and providing means for the user to select design features and otherwise interact with the design system 50. The user interface 58 may facilitate collaboration among team members by providing real-time updates and visualizations of well completions planning scenarios. By offering real-time updates and visualizations, the design system enhances collaboration and ensures that all team members are informed and aligned.

[0035] In an embodiment, the user interface 58 allows for multiple users to interact with the design system 50 when performing a design process. For example, each user has access to an instance of the user interface 58. Each instance of the user interface is updated inOMS-511332-WO-3_BAO2362PCTreal time as users make changes to a design, generate simulations or otherwise change a state of the design process. In this way, collaboration is enhanced and efficiency is improved.

[0036] In an embodiment, the data processing module 52 is connected to a network 60, such as the internet. The network 60 connects the data processing module 52 to various external entities, such as a well site (e.g., the system 10), one or more remote processing modules 62, one or more servers 64 and one or more databases 66.

[0037] In an embodiment, the design system 50 is a distributed system in which one or more modules or tools are remote from the data processing module 52, but are accessible by the data processing module via the network 60. As described further herein, the system 50 integrates a plurality of design tools that are used in various stages of a completion design process. A “design tool” refers to a software program that is used to select design features for a planned completion and / or operation, perform simulations, display designs and / or otherwise perform a function or functions relevant to a design process.

[0038] Examples of design tools include well design tools (e.g., tools for planning well trajectories), offset well analysis tools, tubular design tools, simulation tools and operation design tools. Design tools may be stored locally by the data processing module 52 and / or stored in one or more remote processing modules 62 and / or one or more servers 64.

[0039] For example, the data processing module 52 stores a set (i.e., one or more) of tools 86. Additional sets of design tools 86 are stored at one or more remote processing modules 62 and / or at one or more servers 64.

[0040] The design system 50, in an embodiment, has a modular design that allows users to select specific design tools 86 and features based on their operational needs. A modular design refers to a system architecture that allows components to be added or removed as needed. For example, a user can select any combination of design tools 86 (whether stored locally or remotely) for use in a planning process.

[0041] This feature provides users with the ability to tailor the platform to their unique requirements, allows users to select and customize features according to their specific end-to-end well completions planning needs, ensuring that they can leverage the most relevant tools and features for their operations, thereby maximizing efficiency relevance and utility.

[0042] In an embodiment, the system 50 is configured to support integration with third-party applications and data sources via open Application Programming Interfaces (APIs). For example, the data processing module 52 includes a set of APIs 68 that allow different software systems to communicate and interact with each other. This integration capability offersOMS-511332-WO-3_BAO2362PCTflexibility and extensibility, allowing users to customize the design system 50 to their specific needs, further enhancing its utility.

[0043] In an embodiment, the design system 50 is operable as an end-to-end Software as a Service (SaaS) model, providing remote access to users via a cloud-based infrastructure. An SaaS model allows users to access the design system 50 over the internet without the need for local installation. This flexibility enables users to collaborate remotely and access the design system 50 from various locations, thus enhancing operational efficiency and reducing infrastructure costs.

[0044] The SaaS model may be local (on-premises), may be delivered via a combination of local and cloud resources, or may be cloud-native. A cloud-native platform refers to software that is designed to run in a cloud computing environment, offering scalability and flexibility. The end-to-end aspect ensures comprehensive coverage of all processes.

[0045] SaaS is a software distribution model in which a cloud provider hosts applications and makes them available to end users over the internet. In this model, an independent software vendor (ISV) may contract a third-party cloud provider to host the application, or the cloud provider might also be the software vendor.

[0046] SaaS may work through a cloud delivery model. A software provider can either host an application and related data using its own servers, databases, networking and computing resources, or it may be an ISV that contracts a cloud provider to host the application in the provider's data center. The application can be accessible to any device with a network connection. SaaS applications are typically accessed via web browsers.

[0047] In a software-on-demand SaaS model, a provider gives users network-based access to a single copy of an application that the provider created specifically for SaaS distribution. The application's source code is the same for all customers, and when new features or functionalities are released, they are rolled out to all customers. Depending on the servicelevel agreement, the user's data for each model may be stored locally, in the cloud or both locally and in the cloud.

[0048] SaaS applications and services typically use a multi-tenant approach, which means a single instance of the SaaS application runs on host servers, and that single instance serves each subscribing cloud tenant. The application may run on a single version and configuration across all tenants.

[0049] The design system 50 may be compatible with existing industry tools and platforms, ensuring seamless integration and data flow. Compatibility with existing tools allows for smooth data exchange and integration, enhancing adaptability and effectiveness.OMS-511332-WO-3_BAO2362PCT

[0050] In addition, the design system 50 may provide automatic updates and workflow automation to enhance operational efficiency. Automatic updates ensure the design system 50 remains current, and workflow automation streamlines processes, reducing manual intervention and increasing productivity.

[0051] The design system 50 and / or the data processing module 52 may include one or more additional modules to facilitate planning and design processes. Each of these modules may be stored locally (e.g., as part of the data management module 52), or stored remotely (e.g., as part of a cloud-based network).

[0052] For example, the data processing module 52 includes a data management module 70 configured to manage the storage, retrieval, and updating of data. The data management module 70 may import and export data per industry standards and connect with third-party APIs. This element ensures data integrity and compliance with industry standards, facilitating smooth data exchange.

[0053] A data consolidation module 72 may be included, which is configured to aggregate and standardize data from multiple sources, thereby reducing redundant data entry and manual processes. The data consolidation module 72 collects and harmonizes data by transforming the data to a common format. This feature assists in minimizing errors and streamlining workflows, leading to cost reduction.

[0054] In an embodiment, the data consolidation module 72 is configured to import and export data per industry standards and connect to third-party APIs for enhanced modeling capabilities. The data consolidation module 72, in this embodiment, aggregates and standardizes data, while APIs allow integration with external systems. This capability enhances modeling accuracy and interoperability.

[0055] The design system 50, in an embodiment, includes a risk analysis module 74 configured to identify and mitigate potential operational risks during an end-to-end design and planning process. The risk analysis module 74 includes, for example, a machine learning model. The machine learning model includes a neural network, such as a feedforward neural network (FNN), a convolutional neural network (CNN) and / or a recurrent neural network (RNN). For example, the machine learning model includes one or more classifiers, and may be a transformer-based model.

[0056] The risk analysis module 74 assesses potential risks associated with a given design, based on, for example, historical data (e.g., data from various well sites) and / or data from simulations. The risk analysis module 74 may also suggest mitigation strategies. ThisOMS-511332-WO-3_BAO2362PCTfeature assists in ensuring safety and reliability in well operations, thereby reducing the likelihood of costly errors and enhancing overall project success.

[0057] Other modules may include a simulation engine 76 configured to perform simulations during and / or after a design or planning process. The simulation engine 76 performs predictive analyses, allowing for the anticipation of potential issues and optimization of production strategies.

[0058] At least one simulation engine 76 may simulate operation for a given design and / or production strategy. For example, the simulation engine 76 simulates a production process based on a given BHA design and / or planned operational parameters. The simulation engine 76 may provide simulations at any stage of a design process. The simulation engine 76 may also simulate specific scenarios that may occur during a production operation.

[0059] The data processing module 52 may include an update module 78 configured to automatically update simulations based on real-time data inputs from well operations. The ability to automatically update simulations ensures that the design process remains dynamic and responsive to changing conditions, providing an advantage in maintaining accuracy and optimizing outcomes.

[0060] In an embodiment, the data processing module 52 includes a collaboration interface 80 that facilitates communication and teamwork across different departments and stakeholders. A collaboration interface enables user interaction and information sharing. This feature facilitates effective teamwork and alignment among various parties involved in end-to-end well completions planning.

[0061] The design system 50 may also feature an integration interface 82 for connecting with drilling data, pressure pumping data, wireline data, and third-party software. An integration interface is a point of interaction between different systems, allowing them to work together seamlessly. This aspect improves decision-making by providing comprehensive data access and connectivity.

[0062] An automation engine 84 may be included, configured to streamline workflows and reduce design time (e.g., by up to 80%) as compared to manual processes. An automation engine is a software component that automates repetitive tasks, increasing efficiency and reducing human error. This feature significantly enhances productivity and reduces costs.

[0063] The system 50 includes a plurality of different design tools 86 for performing aspects of a planning process. The design tools 86 may include well design tools, tubular design tools, intervention design tools, completion design tools (for designing a BHA or otherOMS-511332-WO-3_BAO2362PCTdownhole assembly) and / or process design tools. Process design tools allow for planning operational parameters of a downhole system.

[0064] One or more of the design tools 86 may be stored locally at the data processing module 52 (e.g., in memory 56) or stored at a different location accessible by the data processing module 52. In addition, one or more of the design tools 86 may be stored remotely and accessible via the network 60.

[0065] Figure 3 depicts an embodiment of the software architecture of the design system 50. The architecture integrates a plurality of different well completions design and planning tools, which may be local or remote (e.g., cloud-based). These tools (e.g., the design tools 86), in an embodiment, are modular, allowing for individual tools to be easily added or removed from a design process.

[0066] For example, the design tools 86 reservoir modeling, well design, completion design, hydraulic fracturing design, sand control modelling, well intervention design, plug and abandon design and simulation tools. The integration of these tools into a single platform provides a cohesive solution, reducing fragmented decision-making and operational inefficiencies.

[0067] As noted above, the design system 50 may have a modular architecture, in which users can select and customize planning processes by selecting individual modules and tools. A modular architecture is a design approach that divides a system into smaller parts, or modules, that can be independently created and then used in different systems. This allows for flexibility and customization, with completion well design as a prerequisite for additional modules, ensuring a structured and efficient workflow.

[0068] The design tools 86 in this example, include as a well design tool 90, an offset well analysis tool 92, a tubular design tool 94 and a cement design tool 96. A tubular modelling and simulation tool 98 may be included for simulating conditions associated with different tubular configurations. A completion design and simulation tool 100 may be included for performing functions such as simulating torque and drag, surface loads, deformation and interventions.

[0069] Some design tools 86 may be local or have a common source, whereas others may be external or third-party tools. For example, the tools 90, 92, 94, 96 98 and 100 are part of a common tool suite. The APIs 68 allow for interaction between these tools and external tools.

[0070] Examples of external tools include a data management tool 102, a tubular design tool 104, a casing design tool 106 and a well planning tool 108. A stress analysis tool 110OMS-511332-WO-3_BAO2362PCTprovides simulations of forces associated with a given design, and a drilling operation tool 112 can be used to plan and / or control drilling operations.

[0071] A user interface and exchange level includes user interfaces for various phases of a design workflow. In this example, the user interface 58 provides different interfaces for basic well design (interface 120), intervention design (interface 122), plug and abandon design (interface 124), hydraulic fracturing and / or other stimulation design (interface 126), and liner hanger (LH) design (interface 128). Other interfaces for other workflows (e.g., drilling design, tubular design, operations etc.) may be included.

[0072] Figure 4 is a workflow diagram that illustrates aspects of an example of a method 130 of designing a borehole system, such as a completion. Each stage of the method 130 is represented by one of blocks 131-136.

[0073] The method 130 is not limited to the number or order of steps therein, as some steps represented by blocks 131-136 may be performed in a different order than that described below, or fewer than all of the steps may be performed.

[0074] The method 130 is discussed in conjunction with the design system 50 of Figures 2 and 3 and a processing system, which may be, for example, the data processing module 52, one or more remote processors (e.g., in a centralized management system) or combinations thereof. It is noted the method 130 is not so limited and may be performed by any suitable processing device or system, or combination of processing devices.

[0075] The method 130 begins at block 131, where the data processing module 52 collects relevant data from various sources. The data includes for example, design parameters input by a user, characteristics of a downhole environment (e.g., formation or reservoir properties from surface surveys and / or downhole measurements), simulation results, properties of various downhole components, test results and others.

[0076] At block 132, a well design stage commences, in which directional path planning is performed. For example, a borehole path is selected based on geophysics and geology of a downhole region. This stage is performed, for example, using the well design module 90.

[0077] At block 133, offset well analysis is performed. Offset well analysis includes collecting information related to an offset well. An offset well is selected, and associated data is collected, such as geologic measurement data, offset well trajectory and operational data. The operational data may include operational parameters such as rate of penetration, drilling time, cost, and data regarding specific conditions and / or interventions associated with the offset well. Well design and offset well analysis is used to plan a trajectory or directional path of aOMS-511332-WO-3_BAO2362PCTwell (or well section) that is planned to be drilled. Path planning may be performed by generating section view, plan view and / or 3D view plots. A rule check procedure may be performed to avoid collision with other wells. Well cost estimates may be generated, such as time vs depth, time vs cost and cost vs depth.

[0078] At block 134, a tubular design process is performed. Tubular properties are selected based on factors including the planned trajectory, geological properties and operational requirements. Information that can be used to inform the tubular design includes, for example, a design limit plot, a string summary safety factor and a rule check process.

[0079] The factors may relate to properties of a downhole region, such as temperature, properties of downhole fluids (e.g., hydrocarbons, water, gas etc.) and operational parameters such as drilling parameters and properties of injected fluids (e.g., drilling mud). For example, the tubular design is informed by a wellbore temperature plot, an annular fluid expansion table, a pore, fracture and heating plot and others.

[0080] At block 135, operational parameters are simulated and / or selected for the planned operation. For example, tubing stress analysis is performed, and / or torque and drag analysis is performed to simulate stress and forces for a given design, and may provide effective tension information, as well as stress, fatigue and torque limits. Such analyses may be used to know effective forces and buckling potential for a tubular design, and ensure that regulatory requirements are met. These analyses can be used to determine whether a design would fit a planned well trajectory.

[0081] Other simulations and / or analyses may be performed, such as hydraulic pore / frac limit estimations, swab and surge modeling (optimize trip schedule), and string dynamics (string stress). Other examples include cementing analysis for simulating equivalent circulating density as a function of volume and / or time and pore / frac limits, and temperature and pressure modeling for estimations of maximum temperature and pressure and accurate completions equipment selection along a well path.

[0082] At block 136, a completed borehole system design is created based on the well design, tubular design and simulations. For example, a casing design is selected, which may include selection of casing dimensions and number of casings.

[0083] Other components of the completion may be included, such as packers, inflow control devices, stimulation devices or components (e.g., perforations) and others. A user or tool may select the location and type of various components (e.g., inflow control devices and inflow control valves), perform simulations and modify to optimize a completion design. Aspects of a production operation may be selected at this stage.OMS-511332-WO-3_BAO2362PCT

[0084] A risk analysis may be performed (e.g., via the risk analysis module 74) at various points during the planning process. In an embodiment, risk analysis utilizes one or more machine learning modules trained on historical data, to identify or predict operational risks associated with a design of a borehole system or a design of a system component.

[0085] Additionally, the method 130 involves performing simulations to evaluate different end-to-end well completion planning scenarios and optimize production outcomes. Performing simulations means using computational models to predict and analyze various operational scenarios. This capability is useful for identifying optimal strategies and reducing operational risks.

[0086] The method 130 also provides real-time visualizations and updates to facilitate collaboration among team members. Providing real-time visualizations involves displaying data and insights in an accessible format for immediate interpretation.

[0087] As noted above, the method 130 may be delivered as a Software as a Service (SaaS) to enable remote access and collaboration. Delivering the method as a SaaS means providing the service over the internet, allowing users to access it from various locations. This flexibility enables scalability and reduces infrastructure costs, thereby enhancing operational efficiency.

[0088] Figure 5 depicts an example of a display 140 that may be provided by the user interface 58. The user interface 58, in this example, includes drag-and-drop functionality for creating and modifying end-to-end well completions. A user interface is the point of interaction between the user and the design system 50, and drag-and-drop functionality allows users to easily manipulate elements within the interface. This intuitive feature simplifies the user experience, enabling quick adjustments and fostering greater collaboration among team members.

[0089] In this example, the display 140 includes a casing and tubing design interface 142, which allows a user visualize and modify a casing and tubing design. A casing and tubing design may be generated using the tool 94, the tool 104 and / or the tool 106. An offset analysis display 144 shows results of an offset well analysis.

[0090] An elements section 146 allows a user to select specific components of a completion. For example, selection boxes are included that the user can interact with to add and remove various components, such as packers, inflow control valves, sand control screens and others. The selected components and associated dimensions and configurations are shown in a completion design interface 148. A “completions program” display 150 shows the stages of a completion design process and indicates whether such stages have been completed.OMS-511332-WO-3_BAO2362PCT

[0091] Referring to Figure 6, the design system 50 may be incorporated into a comprehensive drilling, completion and production platform 200. The platform 200 incorporates formation evaluation tools 202 (e.g., geology and geophysics), which may be used by a drilling control system 204.

[0092] Drilled well information (e.g., trajectory), in addition to other relevant information, is provided to the system 50, which hosts various tools or tool suites, such as a well design tool or tools 206, an intervention design tool or tools 208, stimulation design tool(s) 210 and plug and abandon design tool(s) 212.

[0093] The completed design is provided to a wellsite and / or plant for constructing and deploying a completion. This may be performed using any suitable wireless communication system 214. A production control tool 216 may be included for managing a production operation.

[0094] Set forth below are some embodiments of the foregoing disclosure:

[0095] Embodiment 1: A system for end-to-end design of a downhole system, comprising: a unified digital platform including a software system configured to generate a completion design as part of a design process, the software system including a plurality of modular design tools, the digital platform including: a data processing module configured to consolidate data from a plurality of sources and standardize the data, the data processing module configured to access at least one modular design tool stored at a remote location; a user interface configured to provide real-time updates and visualizations of the design process; and a risk analysis module configured to identify a potential operational risk during the design process.

[0096] Embodiment 2: The system as in any prior embodiment, wherein the system is operable as a Software as a Service (SaaS) model, the SaaS model configured to provide remote access to a user via a cloud-based infrastructure.

[0097] Embodiment 3: The system as in any prior embodiment, wherein the data processing module is further configured to automatically update simulations based on real-time data inputs from a well operation.

[0098] Embodiment 4: The system as in any prior embodiment, wherein the user interface includes a drag-and-drop functionality for creating and modifying end-to-end well completions planning scenarios.

[0099] Embodiment 5: The system as in any prior embodiment, wherein the data processing module includes an open API.OMS-511332-WO-3_BAO2362PCT

[0100] Embodiment 6: The system as in any prior embodiment, wherein the open API is configured to facilitate an exchange of data between different modular tools.

[0101] Embodiment 7: The system as in any prior embodiment, wherein the plurality of tools include a basic well design tool, an intervention design tool and a completion design tool.

[0102] Embodiment 8: The system as in any prior embodiment, wherein the plurality of modular tools include a simulation tool.

[0103] Embodiment 9: The system as in any prior embodiment, wherein the plurality of tools include at least one of a plug and abandon design tool and a stimulation design tool.

[0104] Embodiment 10: The system as in any prior embodiment, further comprising an automation engine configured to provide a real-time updates to a user based on a change in the design process.

[0105] Embodiment 11: A method of designing a downhole system, comprising: collecting data related to a planned downhole operation from a plurality of different source; and performing a design process using a unified digital platform including a software system configured to generate a completion design, the software system including a plurality of modular design tools, the design process including: consolidating and standardizing the data; selecting locations and properties of one or more downhole component designs using at least one modular design tool; performing a risk analysis module to identify a potential operational risk associated with the selected locations and properties; providing real-time updates and visualizations of the design process via a user interface; and outputting the completion design.

[0106] Embodiment 12: The method as in any prior embodiment, wherein the system is operable as a Software as a Service (SaaS) model, the SaaS model configured to provide remote access to a user via a cloud-based infrastructure.

[0107] Embodiment 13: The method as in any prior embodiment, further comprising automatically updating simulations based on real-time data inputs from a well operation.

[0108] Embodiment 14: The method as in any prior embodiment, wherein the user interface includes a drag-and-drop functionality for creating and modifying end-to-end well completions planning scenarios.

[0109] Embodiment 15: The method as in any prior embodiment, wherein the data processing module includes an open API.OMS-511332-WO-3_BAO2362PCT

[0110] Embodiment 16: The method as in any prior embodiment, wherein the open API is configured to facilitate an exchange of data between different modular tools.

[0111] Embodiment 17: The method as in any prior embodiment, wherein the plurality of tools include a well design tool, an intervention design tool and a completion design tool.

[0112] Embodiment 18: The method as in any prior embodiment, wherein the plurality of modular tools include a simulation tool.

[0113] Embodiment 19: The method as in any prior embodiment, further comprising constructing a completion according to a completion design.

[0114] Embodiment 20: The method as in any prior embodiment, further comprising deploying the completion in a borehole and performing a downhole operation.

[0115] The use of the terms “a” and “an” and “the” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. Further, it should be noted that the terms “first,” “second,” and the like herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The terms “about”, “substantially” and “generally” are intended to include the degree of error associated with measurement of the particular quantity based upon the equipment available at the time of filing the application. For example, “about” and / or “substantially” and / or “generally” can include a range of ± 8% of a given value.

[0116] The teachings of the present disclosure may be used in a variety of well operations. These operations may involve using one or more treatment agents to treat a formation, the fluids resident in a formation, a borehole, and / or equipment in the borehole, such as production tubing. The treatment agents may be in the form of liquids, gases, solids, semi-solids, and mixtures thereof. Illustrative treatment agents include, but are not limited to, fracturing fluids, acids, steam, water, brine, anti-corrosion agents, cement, permeability modifiers, drilling muds, emulsifiers, demulsifiers, tracers, flow improvers etc. Illustrative well operations include, but are not limited to, hydraulic fracturing, stimulation, tracer injection, cleaning, acidizing, steam injection, water flooding, cementing, etc.

[0117] While the invention has been described with reference to an exemplary embodiment or embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing fromOMS-511332-WO-3_BAO2362PCTthe essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed as the best mode contemplated for carrying out this invention, but that the invention will include all embodiments falling within the scope of the claims. Also, in the drawings and the description, there have been disclosed exemplary embodiments of the invention and, although specific terms may have been employed, they are unless otherwise stated used in a generic and descriptive sense only and not for purposes of limitation, the scope of the invention therefore not being so limited.

Claims

OMS-511332-WO-3_BAO2362PCTCLAIMS1. A system (50) for end-to-end design of a downhole system (10), characterized by:a unified digital platform including a software system (50) configured to generate a completion design as part of a design process, the software system including a plurality of modular design tools (86), the digital platform including:a data processing module (52) configured to consolidate data from a plurality of sources and standardize the data, the data processing module configured to access at least one modular design tool (86) stored at a remote location;a user interface (58) configured to provide real-time updates and visualizations of the design process: anda risk analysis module (74) configured to identify a potential operational risk during the design process.

2. The system (50) of claim 1, wherein the system (50) is operable as a Software as a Service (SaaS) model, the SaaS model configured to provide remote access to a user via a cloud-based infrastructure.

3. The system (50) of claim 1, wherein the data processing module (52) is further configured to automatically update simulations based on real-time data inputs from a well operation.

4. The system (50) of claim 1, wherein the user interface (58) includes a drag-and-drop functionality for creating and modifying end-to-end well completions planning scenarios.

5. The system (50) of claim 1, wherein the data processing module (52) includes an open API (68).

6. The system (50) of claim 5, wherein the open API (68) is configured to facilitate an exchange of data between different modular design tools (86).

7. The system (50) of claim 1, wherein the plurality of modular design tools (86) include a basic well design tool (90, 206), an intervention design tool (208) and a completion design tool (100).

8. The system (50) of claim 6, wherein the plurality of modular design tools include a simulation tool (98, 100, 110, 210).

9. The system (50) of claim 6, wherein the plurality of tools include at least one of a plug and abandon design tool (212) and a stimulation design tool (210).

10. The system (50) of claim 1 , further comprising an automation engine configured to provide a real-time updates to a user based on a change in the design process.OMS-511332-WO-3_BAO2362PCT11. A method (130) of designing a downhole system (10), characterized by: collecting data related to a planned downhole operation from a plurality of different source; andperforming a design process using a unified digital platform including a software system (50) configured to generate a completion design, the software system including a plurality of modular design tools (86), the design process including:consolidating and standardizing the data;selecting locations and properties of one or more downhole component designs using at least one modular design tool (86);performing a risk analysis to identify a potential operational risk associated with the selected locations and properties;providing real-time updates and visualizations of the design process via a user interface (58); andoutputting the completion design.

12. The method (130) of claim 11, wherein the software system (50) is operable as a Software as a Service (SaaS) model, the SaaS model configured to provide remote access to a user via a cloud-based infrastructure.

13. The method (130) of claim 1, wherein the data processing module includes an open API (68), the open API (68) configured to facilitate an exchange of data between different modular tools.

14. The method (130) of claim 11, further comprising constructing a completion according to a completion design.

15. The method (130) of claim 14, further comprising deploying the completion in a borehole (14) and performing a downhole operation.

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