Industrial organizations often grapple with scattered data across older systems, modern IoT devices and enterprise IT. This fragmentation hinders effective analysis and decision-making.

Aspen HYSYS는 선도적인 공정 시뮬레이이션 소프트웨어로서, 수십 년간 축적된 경험과 함께 세계 각국의 오일 및 가스 산업과 EPC (Engineering, Procurement, and Construction) 기업들의 피드백을 기반으로 개발되었습니다. 경제성 평가, 에너지 절감, 안전성 평가 및 배출량 분석 등을 결합한 통합 공정 모델링 툴을 통해 공정 자산의 전체 주기 전반에서 가치를 확보할 수 있습니다.

Petrophysical analysis is at the heart of so many geoscience decisions. But what if you could move beyond single-value estimates and truly understand the range of possibilities?

As volatility and uncertainty in energy markets continues and global energy demand grows, upstream companies must operate with much more agility and quantify uncertainty more than ever before.

Faced with new levels of complexity, disruptions and pressure to meet customer demands, chemical supply chains have been tested as never before in recent years. In addition, there is the growing challenge to achieve net-zero targets while maintaining sustainable, profitable operations.

As cyberattacks on industrial systems rise, many organizations are exposed due to aging infrastructure and fragmented system integrations that leave wide attack surfaces. A modern, secure data strategy is critical to protecting operations and enabling future growth.

With ever-changing operating conditions—including different feedstock—today’s process plants are challenged to meet growth and sustainability targets as many critical KPIs cannot be measured on a real-time basis.

Unplanned shutdowns, rising OPEX and safety risks continue to challenge refiners and petrochemical producers. Asset Performance Management (APM) solutions help companies predict and prevent equipment failures, reduce costs and improve reliability.

Upstream oil and gas producers work in a challenging environment where accurate visibility into surface processing facilities is critical to ensure safety and optimize production capability in the entire asset.

With ever-changing operating conditions—including different feedstock—today’s process plants are challenged to meet growth and sustainability targets as many critical KPIs cannot be measured on a real-time basis.