Improving Well Placement and Reservoir Characterization with Deep Directional Resistivity Measurements | Schlumberger
Tech Paper
Location
North Sea, Offshore
Society
SPE
Paper Number
159621
Presentation Date
2012
Products Used
Premium

Improving Well Placement and Reservoir Characterization with Deep Directional Resistivity Measurements



Abstract

The last decade has shown a significant development in resistivity measurement technology providing directional resistivity at a larger scale than conventional logging tools. The latest development can identify resistivity contrasts ten's of meters around the wellbore.

Statoil has tested deep look-around resistivity on a range of fields during the last 2 years and recorded data in more than 10 wells on the Norwegian Continental Shelf. The look-around images provides information at a scale that bridges the gap between conventional logging and seismic and adds important new pieces to the reservoir characterization puzzle. In good reservoir conditions, resistivity contrast up to 30 m away from the well-bore has been observed.

This study will focus on results from the Visund and Åsgard fields, and will demonstrate how the device was used in a range of different applications in the geosteering operation:

Detection of the reservoir boundary up to 20m TVD away.

  • Detection of oil bearing reservoir from within underlying shale, through a water zone.
  • Detection of Gas-Oil Contact (GOC).
  • Detection of Oil-Water Contact (OWC) up to 20m TVD away.
  • Detect faulting of the reservoir.

These examples will highlight why deep look-around resistivity is a step change related to the possibility for doing pro-active well placement of highly deviated wellbores as well as for gaining a larger reservoir understanding. The imaged variation in resistivity contrasts can be related to geologic zonation and fluid content on the reservoir scale, which opens up a much better cross-disciplinary communication between geophysicists, geologists, petrophysicists and reservoir engineers. Finally, the deep resistivity images contribute in optimization of completion solutions when incorporating information on the reservoir scale.

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