新的数字井建设规划解决方案:通过协作和自动化提高井设计的效率和质量

H. Suryadi, Haifeng Li, Diego Medina, Alex Celis
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引用次数: 0

摘要

以最小的风险钻井和以最低的成本优化井位是各公司努力实现的关键目标。钻井计划的质量是成功钻井的主要因素。井设计是一个复杂的过程,需要多个领域的角色和专业知识的充分协作,共同整合各种井规划数据。许多设计挑战将会遇到,如风险评估、特定领域的工作流程、地质问题、技术选择、成本和时间估计、环境和安全问题。设计流程的效率取决于各方之间的有效沟通,快速适应任何变化,减少变化的数量,减少复杂的手工流程。当前现有的工作流和工具并没有在涉及的不同角色之间促进良好的协作环境。工程师利用多种工程应用程序,其中涉及许多手动数据传输和输入。另一方仍在各自工作,并通过电子邮件或其他手动数据传输共享设计。对设计的任何更改都会导致人工返工,导致不一致、不连贯、决策和优化过程缓慢,无法识别所有潜在风险,从而增加了井计划时间。新的基于云技术的数字规划解决方案使设计团队能够在一个单一的标准系统中访问所需的所有数据和科学,从而最大限度地提高结果。这是一种全新的工作方式,通过自动化重复任务和验证工作流程,确保整个计划的一致性,为工程师提供了更快、更高质量的钻井计划。这个新的规划解决方案允许多个角色和领域协作来打破孤岛,通过任务分配提高团队生产力,并共享所有数据。自动化轨迹设计改变了工程师设计轨迹的方式,从手动连接地面位置到目标储层位置的路径,到自动计算并提出具有各种kpi的多个选项,从而使工程师能够选择最佳轨迹选项。该系统通过自动工程分析来提高钻井程序的质量,为任何设计更改提供快速反馈,并提供从轨迹设计到作业活动计划和AFE的集成工作流程。重复任务的自动化,如多次人工输入,使领域专家有更多的时间专注于创造新的工程见解,同时保持设计可追溯性,以审查项目生命周期内的更新,并查看设计更改如何优化钻井计划。这种新的解决方案解决了当前井计划工作流程中的一些重大挑战。
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New Digital Well Construction Planning Solution: Improving Efficiency & Quality of Well Design through Collaboration and Automation
Drilling wells with minimum risk and optimizing well placement with the least possible cost are key goals that companies strive to achieve. The major contributor to the successful execution of the well is the quality of the drilling program. Well design is a complex process, which requires full collaboration of multiple domain roles & expertise working together to integrate various well-planning data. Many design challenges will be encountered, such as risk assessments, domain-specific workflows, geological concerns, technology selections, cost & time estimation, environmental and safety concerns. Design process efficiency depends on effective communication between parties, quickly adapting to any changes, reducing the number of changes, and reducing complicated & manual processes. Current existing workflow and tools are not promoting an excellent collaborative environment among the different roles involved. Engineers utilize multiple engineering applications, which involved many manual data transfers and inputs. The different party is still working in a silo and sharing the design via email or other manual data transfer. Any changes to the design cause manual rework, leading to inconsistency, incoherency, slow decision & optimization process, and failure to identify all potential risks, increasing the well planning time. The new digital planning solution based on cloud technology allows the design team to maximize the results by giving them access to all the data and science they need in a single, standard system. It's a radical new way of working that gives engineers quicker and better-quality drilling programs by automating repetitive tasks and validation workflows to ensure the entire plan is coherent. This new planning solution allows multiple roles & domain collaboration to break down silos, increase team productivity through tasks assignment, and share all data. An automated trajectory design changes the way engineers design trajectory from manually connecting the path from a surface location to the target reservoir location to automatically calculate & propose multiple options with various KPIs allowing the engineer to select the best trajectory option. The system reinforces drilling program quality through auto engineering analysis, which provides quick feedback for any design changes and provides an integrated workflow from the trajectory design to operational activity planning and AFE. The automation of repetitive tasks, such as multiple manual inputs, frees domain experts to have more time to focus on creating new engineering insights while still maintaining design traceability to review updates over the life of the projects and see how the design changes have optimized the drilling program. This new solution solves some of the significant challenges in the current well-planning workflow.
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