ساخت مدل زمین شناسی | Geomodeling 2022

نوشته شده توسط Super User. ارسال در مدل سازی زمین شناسی

Geomodeling Technology Corp. is a leading innovator of seismic attribute analysis and multi-scale reservoir modeling software and services for the upstream exploration and production industry. We enable petroleum companies to maximize revenue and reduce costs with software solutions and project-based services for improved reservoir characterization and recovery. We are a privately-held global company with headquarters in Calgary, offices in Beijing and Houston, and customers around the world.

 

 

InterpretationAI

Next Generation Of Seismic Interpretation System Powered By Artificial Intelligence (AI) Algorithms.

  • Interactive training process
  • Driven by geophysicist’s interpretation, instead of synthetic training data
  • Seamless integration with the conventional interpretation workflow by converting existing fault and horizon interpretation to training labels
  • Extreamely easy to use, designed by seismic interperters for seismic interpreters,  no requirement for machine learning knowledge or Python coding
  • A quantum leap productivity and interpretation accuracy

ATTRIBUTESTUDIO

Integrated Geological Interpretations Of Well Data And Seismic Attributes.

  • Truely integration of well data and seismic interpretation processes.
  • One system for the basic interpretation and advanced analysis workflows.
  • Complete machine learning solution to well data and seismic attributes.
  • Unique solutions to map sweet spots for optimal well placements in unconventional plays.
  • Advanced visualization and interactive attribute analysis and quantitative interpretation.
  • 10x productivity increase from the legacy system

RESERVOIRSTUDIO

Build Realistic Reservoir Models Based On Geological Interpretation

  • Utilizes sedimentological rules to produce realist geologic models
  • Generate high resolution reservoir models with stratigraphic details that honour geology
  • Can incorporate data produced by seismic attribute analysis and small scale bedding modeling

SBED

A Discruptive Solution To Bridge Gaps From Core To Field Models

  • Model small-scale sedimentary bedding, fractures, and bioturbation structure as observed in core data
  • Flow-based upscaling  from core data scale to field scale
  • Conditioned to core interpretation, grain size and measurements , and well logs
  • Accurate petrophysics at the right scales to reduce risks in reserve estimate and production planning

 

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