Confidently Derisk and Improve Quantitative Seismic Analyses of Conventional and Unconventional Site Exploration

Making the best predictions from seismic data to inform business decisions and guide field exploitation is more important than ever. 

Now with RokDoc Ji-Fi, you are able to rapidly and more precisely make predictions in the subsurface by:

  • Estimating facies directly from seismic data
  • Using a  multi-scenario approach to understand the inherent uncertainty in seismic amplitude interpretation 
  • Improve prediction accuracy in hours, not weeks
  • Natively work in the depth domain,  allowing easy update of geological models with seismically derived information 
  • For development settings, extend your quantitative interpretation further by leveraging the concept of production facies in 4D analysis

Why is this important? Because RokDoc Ji-Fi enables you to:

  • Make more accurate predictions in the subsurface to inform decision making
  • Develop easy to interpret and geologically consistent outputs 
  • Confidently derisk exploration projects with clear quantifiable interpretations
  • Better communicate the value of your findings with cross-functional teams and management 
  • Empower your team with advanced workflows, like inversion of 4D seismic data (time-lapse) 

RokDoc Ji-Fi enables you to finetune your production forecasts with data-driven, quantifiable interpretations rather than “best-judgment” intuition. 

Want to learn more?

RokDoc Ji-Fi Demo Request

 

Winner of

Queen's award for enterprise innovation 2019
winner of innovation award 2016
winner of innovation award 2016
winner of ei awards 2016
winner of innovation award 2016

 

How RokDoc Ji-Fi was conceived and accolades it received

Ikon Science’s award-winning software system, RokDoc Ji-Fi, uses rock physics and geological information to directly predict subsurface rock types and rock properties from seismic data.

RokDoc Ji-Fi is grounded on 1500+ man years of software development, and was conceived over 10 years of research, development and implementation in partnership with the Commonwealth Scientific Industrial Research Organisation (CSIRO) and Tullow Oil plc, who provided funding, data, projects and independent testing methods. It uses advanced Bayesian mathematics and uncertainty analysis to robustly handle seismic resolution and noise, producing unique decision support for exploration and production, drilling and other subsurface investments.

 

Ji-Fi
Flagship Joint Impedance and Facies Inversion estimates facies and elastic properties directly from post/pre-stack seismic data. Benefits of the inversion technique include; no requirement for complex low frequency model starting point, incorporation of empirical, analogue and theoretical rock physics priors, incorporation of seismic velocity data for ‘time-depth consistent’ low frequency information, geological constraints for fluid ordering and lateral continuity, and the ability to incorporate VTI anisotropy. Key features include; fast/flexible prior model construction, spatially varying wavelets, local/global modes, lateral constraints, rigorous well and 3D QC, MPI for cluster computing.