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.

Since its commercial availability in 2015, over 100 companies worldwide, including 3 super majors, have purchased or applied the system, meaning RokDoc Ji-Fi is rapidly becoming the new standard in the quantitative use of seismic data.

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

Finally, full 3D geology between existing wells

Ever since 3D seismic was introduced in the late 1970s, geoscientists set the goal of creating, from seismic and well control, reservoir models that reliably describe the spatial distribution of the various formations, and the nature of the rocks and fluids within each formation, especially to identify economic reservoir units. 

To realise this aim, the new technology of seismic inversion evolved rapidly with the availability of increasing computer power and advances in quantitative interpretation theory. But, despite progress such as the emergence in the 1990s of simultaneous inversion and applied geostatistical inversion methods, results were mostly uncertain and inconclusive, and didn’t enable the creation of reliable reservoir models to the extent foreseen. Enter Ikon Science’s Ji-Fi technology that, finally, delivers on the stated objective. 


Rock physics relationships - the key to the seismic inverse challenge

Starting with the company’s inception in 2001, Ikon Science established a strong technology foundation centered on applied rock physics, seismic forward modelling and science-rich prediction tools for rocks and fluids, pore pressure and petroleum geomechanics.

To overcome the inadequacies of existing methods, we took a fresh look at the seismic inverse problem, and realised that rock physics relationships, typically different for the various rock-types or facies encountered, were not used adequately (or at all). By adopting a more integrated and geological-centric approach, we were able to fully integrate prior regional and local geological models and analogues in the inversion of pre-stack seismic data. The target was to deliver a higher-resolution, truly quantitative prediction of rock / fluid type and properties, and in the process deliver a step change in value. This project was named Ji-Fi.



Ji-Fi, the RokDoc module 

Ji-Fi is a software system designed to extract geological facies and petrophysical properties from the complex seismic signal and deliver directly a 3D description of the spatial distribution of facies and properties within a reservoir. By integrating all available team data, Ji-Fi bridges the gap between geology and geophysics, notably by its ability to resolve thinner beds, while incorporating and automatically capturing uncertainty. The technology and workflow delivers an analysis that is objective, repeatable over large areas and applicable across the full life cycle of a petroleum asset. Ji-Fi facies and properties can drive volumetrics, risking, and well planning, geological, flow and geomechanical models assisting reservoir engineers and asset geoscientists.


RokDoc Ji-Fi IQP

Given that uncertainties are included within the Ji-Fi process it is reasonable to then take the extra step of generating model realisations in order to quantify those uncertainties. This has been achieved and is now available through an advanced version of Ji-Fi called IQP.

IQP will produce multiple realisations that account for the ambiguity due to seismic noise and overlapping properties in the elastic domain within the seismic bandwidth. Additional uncertainties can be introduced by changing the input parameters such as depth trends, prior probabilities, and wavelets to name but a few. This approach is often referred to as scenario modelling. Scenario modelling plus multiple realisations can lead to a realistic range of models. One of the main obstacles to applying these approaches is how to effectively handle the large number of models generated. Ikon Science has therefore developed a range of ranking and analysis tools designed to allow for fast and effective interpretation of the multiple results.

 





RokDoc Ji-Fi IQP