SBIR Phase I: Internet Based Remote Seismic Depth Imaging

这个小企业创新研究第一阶段项目将证明一个功能齐全的互联网地震处理系统（INSP）可以开发和顺利运行。 使用大规模并行计算机进行地震处理已经取得了技术和经济上的成功，石油和天然气行业是科学高性能计算的最大商业市场;然而，绝大多数勘探组织无法直接获得高端地震成像技术，因为他们缺乏资源来获取和维护必要的硬件和软件。 该项目的目标是利用高速网络和最新的架构独立的编程语言的进步，提供一个无缝的互联网/内联网地震计算解决方案。 这项研究将试图建立软件基础设施，使地质学家能够直接控制深度成像项目，并能够访问远程大型并行计算机，就像他们使用连接到局域网的工作站一样轻松有效。这将克服经济和操作上的障碍，这些障碍今天阻碍了困难地区的绝大多数勘探项目充分受益于高性能计算的迅速发展，这项技术的商业潜力是巨大的，因为它使地震深度成像和其他计算密集型技术能够为迄今尚未开发的大量客户群所利用，同时向需要访问高性能计算设施和最先进软件的所有潜在客户提供有效的资源分布和分配。 由此产生的产品将大大增加客户和承包商之间的互动，从而提高最终地震图像的质量，进而降低勘探风险，抵消勘探钻井和失败的油藏管理项目的高成本。 关键词Internet、Intranet、Java编程语言、高性能计算、超级计算、地震成像、油气勘探

This Small Business Innovation Research Phase I project will demonstrate that a fully functional internet seismic processing system (INSP) can be developed and smoothly operated. The use of large-scale parallel computers for seismic processing has achieved such technical and economical success that the oil and gas industry is the largest commercial market for scientific high-performance computing; however, the vast majority of exploration organizations have no direct access to high-end seismic imaging technologies because they lack the resources to acquire and maintain the necessary hardware and software. The objective of this project is to take advantage of high-speed networks and recent advances in architecture-independent programming languages to provide a seamless internet/intranet seismic computing solution. The research will attempt to build the software infrastructure that will enable geologists to have direct control of depth-imaging projects and to have access to remote large-scale parallel computers, as effortlessly and effectively as if they were employing a workstation linked to their local-area network. This will overcome the economical and operational obstacles that today prevent the vast majority of exploration projects in difficult areas to fully benefit from the rapid progress in high-performance computing.The commercial potential of the technology is significant because it makes seismic depth imaging and other compute-intensive technologies accessible to a large heretofore untapped client base, while providing an efficient resource distribution and allocation to all potential clients requiring access to high performance computing facilities and state-of-the-art software. The resulting product will allow greatly increased interaction between the client and contractor, thereby increasing the quality of the final seismic image and in turn reducing exploration risk and offsetting the high costs of exploratory drilling and failed reservoir management projects. KEYWORDSInternet, intranet, Java programming language, high performance computing, super computing, seismic imaging, oil and gas exploration