Change name of a well in hampson russell

#Change name of a well in hampson russell code
#Change name of a well in hampson russell license
#Change name of a well in hampson russell plus
#Change name of a well in hampson russell windows

Dramatically reduced loading time for pre-stack seismic data and regular gridded data.See a recorded webinar on Deep Neural Networks in HampsonRussell Emerge: watch video. It can be used in the cloud, which enables scalability of hardware resources.ДЄdvanced Python Scripting for seismic processes enables adding Python plug-ins, giving you the freedom to incorporate your advanced R&D algorithms directly into HampsonRussell. Multi Node Processing distributed across several Linux machines can radically reduce the run-time of pre- and post-stack inversion, AVOВ and gather conditioning processes. Its RockSI component provides linkage to rock physics. This is a new module to improve seismic data quality and achieve more confidence in inversion and AVO.ДЄVO Quick Modeling has an expanded range of tools to generate 1D/2D/3D synthetic models and analyze potential seismic response. A key enhancement is Emerge Deep Learning, allowing for more accurate reservoir characterization. Machine learning has been a component in Emerge for decades. Power of Machine Learning in Emerge for Better Reservoir Characterization

#Change name of a well in hampson russell plus

Plus more miscellaneous improvements detailed in the release documentationДЇeatures in HampsonRussell version 10.4.1 deliver continual improvements in reservoir characterization and seismic interpretation technologies aimed at making sophisticated geophysical analysis and workflows accessible to every geoscientist.Streamlining of project startup when there are many wells.Step-down slicing: Multiple slices can be displayed individually or can be shown in slide-show format.Relative (i.e., no model) and absolute inversions in a single run.

#Change name of a well in hampson russell code

Faster Pre-Stack Inversion: This release introduces an updated FFT code that is two to three times faster than in previous versions.

New features in HampsonRussell version 10.4.2:

Successfully tested and now cloud-ready in AWSВ as well as Azure.

New Python ecosystemВ for HampsonRussellВ provides the flexibility to design and code any process while taking advantage of the HampsonRussell project structure and dataВ access.В The ecosystem accesses log, horizon and seismic data and is included at no cost for customers on active maintenance.

#Change name of a well in hampson russell license

This requires an add-on license for any number of nodes.

#Change name of a well in hampson russell windows

Multi-Node Processing,В now available on Windows in addition to Linux, provides powerful speed improvements to your processing projects.В Initial tests of Multi-Node Processing, when running gather conditioning and pre-stack inversion processes on Windows, indicate speed improvements of approximately three and a half times when using four Multi-Node Processing nodes rather than a single node.

HampsonRussell 10.5 extends and enhances the user experience, offering the speed of Multi-Node Processing on Windows and the flexibility of a Python ecosystem.В New features in HampsonRussell version 10.5: For questions about whatвЂ™s new in HampsonRussell, or request a demo: contact us HampsonRussell 10.5 | March 2020 The new features and functionality of HampsonRussell 10.6В include an interactive radon analyzer, an AVO interpretation crossplot template, improved convenience in retrieving inversion models, greater parameter flexibility and a new inversion algorithm.ДЄccomplish your exploration and development objectives at every stage of your reservoir characterization and interpretation workflows with HampsonRussell 10.6. Improved depth-time domain conversion, velocity modeling and depth synthetic modeling enable integration of seismic assets with geological and petrophysical depth domains Strata allows you to merge complex models for easier modelling of complex geological scenariosДЄutomated multi-well correlation affords fast well-ties and quality control analysis for hundreds of wells, saving time in projects with large well data sets Interactive AVO Fluid Factor cross-plotting adds sophistication and faster interpretation of reservoir propertiesДЄnalysis of pre-stack gathers along deviated wells improves pre-stack data understanding and AVO modeling studies GeoSI geostatistical inversion has new density modeling that provides another level of flexibility and detail New features in HampsonRussell version 11.0: Now Available вЂ“ HampsonRussell 11.0 | June 2021