Canesis Data Description
Canesis Data offers exploration professionals an economical means to access an extensive and continuously expanding collection of seismic and well data sourced from all over the world. It has compiled one of the most comprehensive assortments of non-proprietary legacy data found anywhere. The data comes from both public domain and industry sources, is refined, and made available for public purchase. Numerous datasets undergo scanning and vectorization, while others are original digital data, as specified. With a history of success, Canesis Data leverages its vast expertise to tackle the various challenges that arise in restoring legacy data, which can often be in poor condition or delicate. The company not only processes publicly available data independently but also engages in collaborative efforts in scenarios like open licensing rounds. This valuable data is available for sale to suitably qualified companies during licensing periods and is processed to meet the same high standards as proprietary services, ensuring reliability and quality for all clients. Additionally, Canesis Data continually seeks to innovate and improve its offerings, making it a trusted partner in the exploration industry.
Canesis Data Alternatives
Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows.
JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control.
JS7 can operate thousands of Agents across any platform in parallel.
Platforms
- Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc.
- True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid cloud and on-premises use
User Interface
- Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers
- Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows.
- Multi-client functionality, role-based access management
- OIDC authentication and LDAP integration
High Availability
- Redundancy & Resilience based on asynchronous design and autonomous Agents
- Clustering of all JS7 Products, automatic fail-over and manual switch-over
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g-Platform : Acquisition QC
g-Platform QC : Acquisition QC includes the applications required for testing the acquired 2D/3D Seismic in the field or aboard the vessel during the acquisition process.
- Geometry Assignment QC and Edit
- Basic refraction and FB picking
- SC residuals and deconvolution
Signal processing
- Migration of stacks and post-stack
Geomage™ g-Platform provides processors with an interactive and graphic experience when working with seismic data. The software is divided into packages for Acquisition QC, Land, Marine, VSP, and Depth Imaging applications. This simplifies licensing according to the domain that you need to work in.
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Aspen Echos
Sophisticated seismic processing and imaging techniques are employed to prepare data for depth imaging, seismic characterization and interpretation, alongside projects focused on pore pressure prediction. The system's modular design, open architecture, and compliance with industry standards empower companies to tailor the system to meet their specific business goals and user needs. Cutting-edge seismic processing and imaging technologies, such as SRMA, 5D interpolation, and Aspen Echos RTM, are included within this framework. A vast collection of nearly 350 modules facilitates the development of data-driven processing workflows aimed at addressing contemporary geophysical challenges. The system boasts a highly efficient parallel framework optimized for cluster (HPC) performance, providing the best interactive connection between seismic applications, parameters, and data in the industry. Furthermore, Aspen Echos has established itself as the standard for seismic processing in the oil and gas sector, effectively generating high-resolution 2D and 3D seismic images of the subsurface to enhance exploration and analysis. This combination of features ensures that users can effectively adapt to the evolving demands of geophysical research.
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Integrations
No Integrations at this time
Company Details
Company:
Canesis Data
Headquarters:
United Kingdom
Website:
canesis.net
Media
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Product Details
Platforms
Windows
Customer Support
Business Hours
Online Support
Canesis Data Features and Options
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