Upstream companies today must achieve operational excellence by reducing emissions and utility demands, improving production at existing assets and replacing and expanding reserves while exhibiting capital discipline.

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.

Capital project owners need to optimize their CAPEX spending throughout the lifecycle of their projects, from design to operations.

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.

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.

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

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

实现未来零碳排放的比赛已经拉开序幕。全球油气、石化和化工公司纷纷宣布了宏伟的碳减排、塑料再利用及节水目标。 碳捕获和封存技术（CCS），以及碳捕获与利用技术（CCU）是现阶段帮助企业切实实现这些目标的关键路径。

世界中で、主要な組織が高度なデジタル技術を採用および実装しています。デジタルトランスフォーメーションの旅は、資産集約型産業、特にエネルギーおよび化学薬品ビジネスの性質を変えるでしょう。こうした状況下では、デジタルツイン（物理的な資産の仮想化されたコピーとその運用上の動作）が重要な役割を果たします。今日アスペンテックが描くデジタルツインの重要なコンセプトは、仮想データに対して洞察とアドバイスを提供するAIの力です。本ホワイトペーパーでは、これからのデジタルツイン戦略で重要になる鍵をご覧いただけます。

Making big capital project management decisions shouldn’t be left to subjective perceptions or over-simplified analysis. Decision-makers need quantifiable, trustworthy answers to make the most profitable decisions possible. Aspen Fidelis Reliability is a robust RAM analysis tool that can handle the real-world challenges of today's process industries. In this paper, learn how Fidelis enables you to maximize the economics of business decisions and accurately predict future asset performance of the whole system.