As sustainability targets drive the energy industry towards a net zero future and energy security concerns intensify, EPCs are challenged to meet these countervailing demands within financial and workforce restraints. EPCs must cater to short-term energy demands while simultaneously positioning themselves for the long-term energy transition projects gaining traction.

碳捕获仍然是能源和化工公司在能源转型过程中的首要任务，但实现减排目标的最佳方法是什么？准确的工艺建模是选择正确工艺的关键要求。在本白皮书中，您将了解预测建模技术的进步如何使您能够设计最可操作、节能和可持续的解决方案。

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to implement prescriptive maintenance solution, companies can improve the accuracy of failure detection, increase the advance notification period of asset downtime events and reduce maintenance spend.

领先的资产密集型公司正在使用人工智能和机器学习支持的规范性维护，以释放资产中未被捕获的价值和生产力。使用可扩展、易于实施的规定性维护解决方案，公司可以提高故障检测的准确性，延长资产停机事件的提前通知期，并减少维护开支。

The race to a zero-carbon future is on. Global oil and gas, petrochemical and chemical companies have announced ambitious carbon mitigation, plastics re-use and water conservation targets. Carbon capture and storage (CCS) and carbon capture and utilization (CCU) are key technologies to help companies reach their sustainability goals.

Electrification is accelerating across all economic sectors as the world increases demand for resources, energy and sustainability. The shift from fossil-based systems to electric will drive change within the existing power infrastructure and beyond with new microgrids and self-generation at industrial sites.

行业领导者正在寻找创新的方式来实现他们的可持续发展目标。氢能是一种宝贵的资源，可以帮助公司实现碳减排并降低能源成本。下载本白皮书，了解数字技术是实现氢经济的重要组成部分，并使您能够：

AspenTech has invented a method for integrating first principles-based process simulation models and domain expertise with AI and analytics algorithms. The result is a hybrid modeling system that delivers a comprehensive, accurate model more quickly without requiring significant expertise.

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.

Regardless of what our plans were in January 2020, nothing is the same in 2021 or the future. A digital strategy is no longer limited to a subset of impacted functions, but touches everyone’s goals organization-wide in some way, shape or form.