井完整性/控制

工程材料、机器学习增强碳储存井的完整性

本文的作者描述了一套技术，可以增强油井的稳健性以及碳储存设施的性能建模和监控。

碳储存井的描绘。
图 1 描绘了碳储存井。尽管周围有保护层，二氧化碳仍可以沿着泄漏路径通过注入井从指定储层中流出。纳米级表面处理和声学超材料添加剂等新技术提高了井的完整性和诊断能力。
来源：SPE 214844

CO 2注入作业的成功以及长期储存的持久性部分取决于井设计和建井所用的材料。作者描述了他们开发的一系列技术，这些技术能够增强油井的稳健性、碳储存设施的监测及其性能建模。这些技术的结合能够跟踪井下和地下流体的分布和流动。此外，可扩展技术可用于开发剩余储层，同时防止CO 2羽流迁移。

介绍

除了影响羽流迁移的选址和地质特征之外，井的施工设计和材料对成功封存也有重大影响。

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原文链接/jpt
Well integrity/control

Engineered Materials, Machine Learning Enhance Carbon Storage Well Integrity

The authors of this paper describe a suite of technologies that enables enhanced well robustness and performance modeling and monitoring of carbon storage facilities.

Depiction of a carbon-storage well.
Fig. 1—Depiction of a carbon-storage well. CO2 can follow leakage paths out of the designated reservoir through the injection well, although it is surrounded by layers of protection. New technologies such as nanoscale surface treatments and acoustic metamaterial additives improve well integrity and diagnostic capabilities.
Source: SPE 214844

The success of CO2 injection operations, and the endurance of long-term storage, are partially dependent on well design and the materials used for well construction. The authors describe a stack of technologies they have developed that enable enhanced well robustness, monitoring of carbon-storage facilities, and modeling of their performance. The combination of these technologies enables the tracking of downhole and subsurface fluid distribution and flow. Furthermore, the scalable technologies can be used to exploit remaining reservoirs while preventing CO2-plume migration.

Introduction

Besides site selection and geological features that influence plume migration, well-construction design and materials have a major effect on successful storage.

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