새로운 프로그램을 위한 혁신적이며, 협업이 가능한 동기화된 프로그램 관리
항공 우주 및 방위
새로운 프로그램을 위한 혁신적이며, 협업이 가능한 동기화된 프로그램 관리산업 자세히 보기
자동차 및 운송
Integration of mechanical, software and electronic systems technologies for vehicle systems산업 자세히 보기
소비재 및 소매업
통합된 포뮬레이션, 패키징 및 제조 프로세스의 효율적인 관리를 통한 제품 혁신산업 자세히 보기
전자 기기 및 반도체
신제품 개발 시 데이터를 활용하여 품질과 수익성을 개선하고 시장 출시 기간을 단축하며 비용 절감산업 자세히 보기
에너지 및 공공 시설
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets산업 자세히 보기
산업용 기계 및 중장비
Integration of manufacturing process planning with design and engineering for today’s machine complexity산업 자세히 보기
Insurance & Financial
Visibility, compliance and accountability for insurance and financial industriesExplore Industry
조선 및 해양
미래형 선박(future fleet) 개발 비용의 지속적인 절감을 위한 조선분야의 혁신산업 자세히 보기
Media & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.Explore Industry
의료 기기 및 제약
시장 요구사항의 충족과 비용 절감을 위해 디지털화를 통한 "개인 맞춤형 제품 혁신"산업 살펴보기
Faster time to market, fewer errors for Software DevelopmentExplore Industry
Small & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.Explore Industry
Predictive analytics in the oil and gas industry
Learn how Aker Solutions uses simulation-based predictive analytics to build digital twins of subsea systems for production optimization, saving millions of dollars in deferred production
Measured sensor data combined with data analytics has been widely recognized as an effective means of enabling efficiency and maintenance improvements in many oil and gas facilities. However, there is the opportunity to make an even greater step change if we ask ourselves:
This is where predictive-based analytics delivers the final, but critical, piece of the puzzle. In this webinar, you will hear how Aker Solutions embrace engineering simulation and predictive engineering analytics to ensure their equipment is optimized through the complete lifecycle--from design to operation.
The ability to generate reliable simulation-based predictions--of individual pieces of equipment and full systems-- based on underlying physics, results in valuable additional data on how a system operates; this leads to deeper understanding and insight to make more informed, better-prepared decisions.
By embracing simulation-based digital twins, operators and equipment companies are able to build virtual sensors that can provide unparalleled levels of data in locations that would otherwise be inaccessible, helping them understand how the performance and integrity of their system are changing, and even to assess the impact of possible future operating conditions on their systems and search out improved efficiencies.
From managing complex multiphase flows to ensuring reliable thermal performance in operation to managing and avoiding hydrate risks, a predictive-based approach can save time and cost while delivering greater insight to enable safe and efficient operations.
Managing Director, Aker Solutions, Sweden
Marketing Manager, Siemens Digital Industries Software
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