?????? ?????????? ???? ???????? ?????? ????????! ?? ?? SEG Advanced Modeling Corporation (SEAM) announces the Leading Edge Acquisition Project (????????). ?????? #?????????????? ??????????????????: #Transitions (Tz) from land to shallow and deep water. ?????? ???????? ????????????????: Efficient #Tz acquisition and processing. ???????????????? ??????: ?? #Imaging ?? Blended #Acquisition ?? Compressive sensing ?? #3D FWI ???????? ?????? ???? ???????? ???? ?????????? ???????? ?????????? ?????? ?????? ???????????????? ???????????????????? ???????? ?????? ?????? ???????? ?????????????? ?????? ?????? ????????????????. SEG
关于我们
SEG Advanced Modeling Corporation (SEAM) is a not-for-profit research entity that hosts collaborative projects between sponsoring stakeholders to further geophysical research by industry and academia. These cooperatives address specific world-class challenges in subsurface description and management. (SEAM) is a subsidiary of the international not-for-profit Society of Exploration Geophysicists (SEG). SEAM strives to advance geophysical science and technology through the construction of subsurface models and generation of synthetic data sets. SEAM operates projects that require world-class computational simulations for research and benchmarking. SEAM is governed by a Board of Directors who along with the Director of Operations are responsible for fiscal and operational accountability. Each project is executed with an experienced project manager and a management committee of industry and research scientists from operators and service companies who devote intellectual resources and funding. The project co-operative avails itself of the most relevant international academic resources and best-in-class third party suppliers.
- 网站
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https://seg.org/SEAM/home
SEG Advanced Modeling Corporation (SEAM)的外部链接
- 所属行业
- 研究服务
- 规模
- 51-200 人
- 创立
- 2007
动态
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?????? ?????????? ???? ???????? ?????? ????????! ?? ?? SEG Advanced Modeling Corporation (SEAM) announces the Leading Edge Acquisition Project (????????). ?????? #?????????????? ??????????????????: #Transitions (Tz) from land to shallow and deep water. ?????? ???????? ????????????????: Efficient #Tz acquisition and processing. ???????????????? ??????: ?? #Imaging ?? Blended #Acquisition ?? Compressive sensing ?? #3D FWI ?????????? ???????? ?????????? ????????, ?????? ?????? ???????????????? ????????????????????, ?????? ?????? ???????? ?????????????? ?????? ?????? ????????????????. ?? seam[at]seg[dot]org.
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"???????? ????????, ???? ???????? ?????? ?????????? ???? ???????????????? ????." The SEG Advanced Modeling Corporation (SEAM), serving as the research arm of #SEG, is an industry-co-operative organization dedicated to large-scale leading-edge #geophysical numerical #modeling. Partha Routh of ExxonMobil shares how SEAM drives meaningful innovation. Learn more about how SEAM can be a resource for you ?? https://bit.ly/4dSMiI5
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????????. ?????????????????? ?????? ???????????????????? ???? ?????????????????????? ????????????????! The SEG Advanced Modeling Corporation (SEAM), serving as the research arm of SEG, is an industry-co-operative organization dedicated to large-scale leading-edge #geophysical numerical #modeling. In this video, we hear from Aria Abubakar, Joe Stefani, Nancy House, William Abriel, Arthur Cheng, John Eastwood and the late Sven Trietel about SEAM. Learn more about how SEAM can be a resource for you ?? https://bit.ly/4dSMiI5
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#IMAGE24 will host the session "SEAM: Supporting Applied #Geophysical Research Since 2007” which will highlight a variety of work that sponsors and others have carried out using SEG Advanced Modeling Corporation (SEAM) models and data. Talks will include: ? SEAM #Modeling of #CO2 #Sequestration: Evaluating geophysical methods for characterization – Michael Fehler, SEG ? Utilization of SEAM at Oxy, with a focus on the #Barrett Unconventional model – Norbert Van De Coevering, Oxy. ? #Signal Processing and Imaging of Salt Flanks Using SEAM Salt Model – Yunyue Elita Li, Purdue University. ? CO2 Monitoring in Deserts Using #DAS, Ultra-Sparse Sources, and Deep Learning: Insights from SEAM #Arid Model and Field Data – Vladimir Kazei, Qie Zhang and Weichang Li, aramco. ? #AI-based workflow for generating horizon volume from #seismic post stack images: Case study using SEAM dataset – Aria Abubakar and Haibin Di, SLB. Wednesday, 28 August | 1:50 p.m.–5:30 p.m. | George R. Brown Convention Center, 330 More details: https://bit.ly/3T0KuW6
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You are invited to attend the SEG Advanced Modeling Corporation (SEAM)'s featured session "SEAM: Supporting Applied Geophysical Research Since 2007" on 28 August during #IMAGE24. More details: https://bit.ly/3T0KuW6
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