生产

生产监控-2024

过去三年中,生产监控领域获得了超过 50 万项专利。这一进展导致了向集成工作流程、基于云的平台、弹性传感器、流程简化和自动化的转变。

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石油和天然气行业正在利用技术来提高竞争力,同时解决可持续发展目标、供应链中断和监管标准问题。过去三年中,生产监控领域获得了超过 50 万项专利。这一进展导致了向集成工作流程、基于云的平台、弹性传感器、流程简化和自动化的转变。

这些进步旨在增强对油藏的了解、简化监测计划并降低成本。下一代技术正在逐步实施,以实现流程自动化、运营现代化、提高效率和产量,同时满足可持续性要求。数据集集成正在成为全面了解油藏行为的关键,结合使用人工智能和混合建模进行生产分析,可以更快地做出明智的决策。

以下是过去一年中取得的一些进展的例子:

  • 更多地使用基于云的平台,提供实时数据访问、数据可视化、分析和建模并支持远程操作
  • 新型传感器具有更高的可靠性,能够在以前无法进入的环境中运行,并取得了可喜的成果(例如,拍击式超声波电磁多相表、传感器球)
  • 使用示踪剂进行井下监测,用于支持油井清理作业并提高区域生产率
  • 在具有挑战性的区域收集流动剖面信息的创新解决方案,例如在高温井中使用分布式温度和声学传感以及热建模
  • 二叠纪地区的井间应变和生产剖面干扰测试,通过低成本、低风险洞察裂缝网络动态,提供油藏监测的整体方法
  • 用于多横向井生产分析的新型快速解决方案,提供关键的裂缝和储层特性
  • 流阵列传感等先进测井工具成功应用于高气液比复杂井

总体而言,这些进步提高了我们对油藏行为的理解,优化了生产效率,并为实现可持续能源未来的目标做出了贡献。

本月的技术论文

近实时示踪数据优化 Nova 油田的油井清理

钢丝部署的光纤电缆为高温气井提供了第一个生产剖面

二叠纪盆地的 Crosswell 应变和生产干扰测试

Mariela Araujo, SPE,是壳牌全球解决方案的首席科学专家,目前担任商业创新合作伙伴经理。在担任此职务之前,她曾从事生产优化、油藏管理和地下整合的技术开发工作。Araujo 拥有物理学学士和博士学位,一直在该行业担任油藏工程师,专注于涵盖从实验室到现场应用的各种技术领域。她热衷于数据集成、地下建模和优化,曾在委内瑞拉、英国、美国、加拿大和约旦的石油和天然气项目工作过。目前,Araujo 正在支持多个技术项目,包括资产管理和离岸技术、CO 2减排和电气化计划。

原文链接/jpt
Production

Production Monitoring-2024

During the past 3 years, over half a million patents were granted for production monitoring. This progress has led to a shift toward integrated work flows, cloud-based platforms, resilient sensors, process simplification, and automation.

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The oil and gas industry is leveraging technology to increase competitiveness while addressing sustainability goals, supply-chain disruptions, and regulatory standards. During the past 3 years, over half a million patents were granted for production monitoring. This progress has led to a shift toward integrated work flows, cloud-based platforms, resilient sensors, process simplification, and automation.

These advancements aim to enhance reservoir understanding, simplify monitoring programs, and reduce costs. Next-generation technologies are being progressively implemented to automate processes, modernize operations, and boost efficiency and production while meeting sustainability requirements. Data-set integration is becoming the key for comprehensively understanding reservoir behavior, which, in combination with the use of artificial intelligence and hybrid modeling for production analysis, results in faster informed decision-making.

The following are some examples of advances in the past year:

  • Increased use of cloud-based platforms providing real-time data access, data visualization, analysis, and modeling and enabling remote operations
  • New sensors with improved reliability able to operate in previously inaccessible environments showcased with promising results (e.g., clap-on ultrasonic electromagnetic multiphase meter, sensor ball)
  • Downhole monitoring with tracers used to support well-cleanup operations and increase zonal productivity
  • Innovative solutions to gather flow-profile information in challenging areas, such as the use of distributed temperature and acoustic sensing with thermal modeling in high-temperature wells
  • Crosswell strain and production-profile interference testing in the Permian region, offering a holistic approach to reservoir monitoring through insights into fracture network dynamics at low cost and low risk
  • New rapid solutions for production analysis from multitransverse wells providing key fracture and reservoir properties
  • Advanced logging tools, such as the flow array sensing tool, successfully used in complex wells with high gas-to-liquid ratios

Overall, these advancements have improved our understanding of reservoir behavior, optimized production efficiency, and contributed to the goal of achieving a sustainable energy future.

This Month’s Technical Papers

Near-Real-Time Tracer Data Optimizes Well Cleanups in the Nova Field

Slickline-Deployed Fiber-Optic Cable Provides First Production Profile for High-Temperature Gas Well

Crosswell Strain and Production-Interference Testing Integrated in the Permian Basin

Mariela Araujo, SPE, is a principal science expert at Shell Global Solutions, currently in the role of commercial innovation partnerships manager. Before taking this role, she held roles in technology development for production optimization, reservoir management, and subsurface integration. Araujo holds BS and PhD degrees in physics and has been working in the industry as a reservoir engineer with a focus on a variety of technology areas covering applications from the laboratory to the field. She is passionate about data integration, subsurface modeling, and optimization and has worked for oil and gas projects in Venezuela, the UK, the US, Canada, and Jordan. Currently, Araujo is supporting several technology programs, including asset management and offshore technologies, CO2 abatement, and electrification initiatives.