Make sure to visit our booth #1045. You'll discover our new software solution for the Oil & Gas industry, Isatis.neo, and its innovative workflow for time-to-depth conversion and volume analysis. And don't miss our poster presentations where you will discover how this new tool helps you with mis-ties correction and trap uncertainty analysis.
What if a new software solution empowers users for quick depth conversion and comprehensive uncertainty exploration?
Discover what is unique in Isatis.neo Petroleum Edition:
You’re most welcome at our booth at lunchtime to learn more about Isatis.neo:
- Monday 16 Sept – 12:00 pm – Innovative and smart geostatistics-based workflow for efficient time-depth conversion, even when no velocity information is available. Software demo and case study.
- Tuesday 17 Sept – 13:00 pm – Innovative and flexible geostatistics-based workflow for the most comprehensive uncertainty analysis on depths, traps and reservoir volumes, considering faults if any. Software demo and case study.
- Wednesday 18 Sept – 12:00 pm- Getting rid of the footprints in seismic data that the standard geophysical filters have not succeeded to remove. Software demo and case study.
Learn how to reduce misties while converting time into depth and achieve robust uncertainty analysis on traps with Isatis.neo:
The emergence of edge scenarios in uncertainty studies for reservoir trap analysis
by Pedro Correia, Yves-Marie Meric, François Geffroy, Hélène Binet, and Jean-Marc Chautru, Geovariances; Nicolas Nosjean-Gorgeu, Neptune Energy
Poster station 5 – Wednesday 18 September – 10:10 am
Abstract – Conceptual modeling of reservoirs is part of the decision-making process and trap analysis is an important step in reaching this objective. This is typically performed over depth horizons, which are a result of time-to-depth conversion operations. Not only does this operation carry uncertainty but also depends on other elements, such as faults. In this study, a workflow based on a Universal Kriging-based approach has been used to generate stochastic realizations of the same depth horizons. An additional processing step is added where the horizons are adapted to different lateral positions of faults. Finally, using a novel trap analysis algorithm, the consequences of different sources of uncertainty are analyzed in two different real case studies. The results show clearly different, but plausible, structural scenarios, whose impact on exploration operations is likely to be significant.
Correction of mis-ties in seismic data using a variation of kriging with variance of measurement error
by Pedro Correia, François Geffroy, Hélène Binet, and Jean-Marc Chautru*, Geovariances; Didier Renard, A. Yewgat, Mines ParisTech; Frédéric Huguet, Catherine Formento, Storengy SAS
Poster station 3 – Wednesday 18 September – 11:00 am
Abstract – Geophysical surveys are often composed of several different datasets, typically with multiple crossover points, and generally contaminated by unknown and systematic errors. Mis-ties are those intersections where two or more different measures are available at the same location. The problem is old and has different solutions. A new geostatistical method is presented, which is based on a variation of Kriging with variance of measurement errors. The variance of measurement error is here defined for each profile, which allows reducing mis-ties and uncertainty. The generated Time maps are significantly enhanced and can be used as reliable drift maps in Time-to-depth conversion operations. Thanks to the use of editable variances assigned to each profile, geophysicists can control local uncertainties and get enhanced Time maps after a rapidly converging trial-and-error approach. Such variances must be editable, as default values are calculated from profiles’ intersections, which are rarely numerous enough to lead to robust statistics. For the same reason, the covariance model used in the Kriging system can be modified. By default, an automatic fitting is proposed for the sake of simplicity, but it might be valuable in some cases to modify default fitting, making use in such a case of the geophysicist’s experience.