새로운 프로그램을 위한 혁신적이며, 협업이 가능한 동기화된 프로그램 관리
자동차 및 운송
Integration of mechanical, software and electronic systems technologies for vehicle systems
산업 자세히 보기에너지 및 공공 시설
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
산업 자세히 보기산업용 기계 및 중장비
Integration of manufacturing process planning with design and engineering for today’s machine complexity
산업 자세히 보기Insurance & Financial
Visibility, compliance and accountability for insurance and financial industries
Explore IndustryMedia & 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 IndustrySmall & 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 IndustryPredictive analytics in the oil and gas 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.
Henrik Alfredsson
Managing Director, Aker Solutions, Sweden
Javier Garriz
Marketing Manager, Siemens Digital Industries Software
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안녕하세요 님, (실제 웹사이트 방문 고객의 이름으로 대체됨)
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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.
Henrik Alfredsson
Managing Director, Aker Solutions, Sweden
Javier Garriz
Marketing Manager, Siemens Digital Industries Software