RISC
Godkjenningen dokumenterer en skattefradragsordning, men kilden publiserer ikke faktisk skattefradrag per prosjekt.
Prosjektopplysninger
- Prosjektperiode
- Instrument
- Skatte-/avgiftsfordel
- Støttegiver
- SkatteFUNN / Norges forskningsråd
- Vedtaksdato
- Program/aktivitet
- SkatteFUNN
- Prosjekttype
- SkatteFUNN-prosjekt
- Kommune
- Bergen
- Fylke
- Vestland
Offentlig prosjektsammendrag
The objective of Quantitative Seismic Interpretation (QSI) is to give a quantitative basis for exploration and production (E&P) decisions based on 3D seismic data, in particular to avoid drilling of dry exploration wells and to find the best placement of production wells. The QSI process links the seismic data to vital geological and production properties of the target formations, such as porosity, reservoir quality, hydrocarbon saturation and volumes in place. QSI is commonly regarded as time-consuming, geophysically challenging and data intensive, and is therefore considered as an activity for the domain experts using their specialist software packages. Most G&G staff are seismic interpreters without knowledge of QSI. Their job is to map geological structures from seismic data and plan for the next well to be drilled. We wish to extend their workflow to also quantify the properties of the mapped formations and drilling targets, e.g. not only to consider if the formation and surrounding is favorable but also to evaluate if the reservoir quality is favorable. The Inverse Rock Physics Modelling (IRPM) approach to rock physics driven QSI was first published in 2013 by the founders of Rock Physics Technology (RPT) and is now implemented and commercially available in the ENTER software. The unique solution algorithm is under patent process in our key markets worldwide. We propose a unique approach to fast QSI called Real-time Interactive Subsurface Characterization (RISC) that enables interactive QSI to be performed by all G&G staff while interpreting seismic data in the Petrel E&P software. Offering the RISC QSI plugin directly on Petrel will facilitate: - fast rock physics driven scanning for HC prospects going beyond standard qualitative techniques, - real-time evaluation and validation of geological scenarios at interpretation targets away from well control, and - quantification of reservoir parameters and the resources in place.
Kilde og proveniens
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