New perspectives for 3D visualization of dynamic reservoir uncertainty

Thomas Viard and Guillaume Caumon and Emmanuel Gringarten and Alexandre Hugot and Bruno Levy. ( 2009 )
in: Proc. International Petroleum Technology Conference

Abstract

3D visualization of ow simulation results is valuable in addressing eld development issues such as appropriate placement of in ll wells. However, integration of static and dynamic uncertainty in reservoir management deci- sions often lacks proper visualization methods - typically, alternative reservoir models are considered one after another, or, at best, local averages and \uncertainty maps" of hydrocarbon indicators or productivity indexes are viewed successively. While uncertainty can dramatically impact reservoir performance, it is therefore often disregarded or misestimated during the decision making process. In this paper, we propose new ways of visualizing both the reservoir parameter values and associated local uncertainty, by exploiting the latest capacities of modern graphics cards (GPUs). Such visualization provides clear advantage over conventional techniques when analyzing and communicating reservoir modeling and ow simulation results. A case study illustrates that the resulting images of reservoir pressures and uid saturations of multiple dynamic models are very intuitive and easily visually interpreted. Applications to reservoir manage- ment are numerous, for instance: well targeting to reduce geological uncertainty while maximizing encountered net-to-gross; risks associated to hydraulic fracturing and fault seal integrity; pore pressure uncertainty.

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BibTeX Reference

@INPROCEEDINGS{,
    author = { Viard, Thomas and Caumon, Guillaume and Gringarten, Emmanuel and Hugot, Alexandre and Levy, Bruno },
     title = { New perspectives for 3D visualization of dynamic reservoir uncertainty },
   journal = { IPTC },
 booktitle = { Proc. International Petroleum Technology Conference },
      year = { 2009 },
       doi = { 10.2523/IPTC-13740-ABSTRACT },
  abstract = { 3D visualization of 
ow simulation results is valuable in addressing eld development issues such as appropriate
placement of inll wells. However, integration of static and dynamic uncertainty in reservoir management deci-
sions often lacks proper visualization methods - typically, alternative reservoir models are considered one after
another, or, at best, local averages and \uncertainty maps" of hydrocarbon indicators or productivity indexes
are viewed successively. While uncertainty can dramatically impact reservoir performance, it is therefore often
disregarded or misestimated during the decision making process.
In this paper, we propose new ways of visualizing both the reservoir parameter values and associated local
uncertainty, by exploiting the latest capacities of modern graphics cards (GPUs). Such visualization provides
clear advantage over conventional techniques when analyzing and communicating reservoir modeling and 
ow
simulation results. A case study illustrates that the resulting images of reservoir pressures and 
uid saturations
of multiple dynamic models are very intuitive and easily visually interpreted. Applications to reservoir manage-
ment are numerous, for instance: well targeting to reduce geological uncertainty while maximizing encountered
net-to-gross; risks associated to hydraulic fracturing and fault seal integrity; pore pressure uncertainty. }
}