RokDoc Ji-Fi - rock physics driven inversion | Ikon Science

RokDoc Ji-Fi, a tool for challenging times

Ikon Science’s award winning software system, RokDoc Ji-Fi, combines seismic data with rock physics and other geological information from Ikon’s regional databases, to directly predict subsurface rock types and rock properties of interest. 

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.


In September 2017, Ikon Science introduced RokDoc Ji-Fi IQP.  A new tool for stochastic based reservoir characterization.

Winner of

winner of innovation award 2016
winner of ei awards 2016
winner of innovation award 2016
winner of innovation award 2016

 

 

Industry Challenges

Commercial hydrocarbon pools are becoming harder to locate
  • New frontiers where geological uncertainties are considerable
  • Mature areas where traps can be subtle and/or small
  • Identification of robust infill targets in producing assets
Drilling success rates are lower

than desired

  • Too much reliance on qualitative interpretation
  • Inability to adequately capture and incorporate uncertainty into models
  • Lack of cross discipline integration during seismic characterisation
Risk and uncertainty poorly understood
  • Bias in quantitative subsurface predictions
  • Too few pre-drill scenarios tested
  • Analogues under-utilised
  • Risk not effectively communicated

RokDoc Ji-Fi

Robust:

Locate hydrocarbon pools with greater accuracy and confidence

  • Extract high resolution geological images from seismic
  • Establish and deploy play based seismic characterisation
  • Consistently characterise seismic across multiple assets

Fast:

Objective, efficient & repeatable seismic characterisation framework

  • Single easy to use platform
  • Recipe based workflows with automated QC procedures
  • Maximise value of local, regional and analogue well data
  • Cross-discipline/data workflows for exploration through to production

Reliable:

Explore, capture & communicate geological & geophysical uncertainty

  • Quickly and easily evaluate and validate geological scenarios against seismic data
  • Derive in-situ hydrocarbon volume estimates within a consistent geological and petro-elastic framework
  • Capture uncertainty and incorporate into robust risk analysis

RokDoc Ji-Fi Workflow

Post-stack or pre-stack seismic, interval velocities, stratigraphy, wavelets and S:N ratios
Per elastic facies compaction and rock physics models - basin models, analogues, theoretical and empirical models
Prior distributions - simple geological concepts or complex geo-models
Multiple geological scenarios and equi-probable realisations
Elastic facies and elastic property probabilities and uncertainties; outputs ranked by volume and N:G
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.
Well QC showing predicted facies, facies probabilities and synthetic-seismic comparisons
Elastic property uncertainty and oil facies probability rendered over input seismic stack
3D perspective of inverted facies distribution alongside wells, seismic and impedance data