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Transforming Sub-Surface Interpretation

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Monday, April 13, 2015

Video Presentation

Geologic rock property normalisation of seismic

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Ken Armitage

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Talk Description
• Prime cause of E&P inefficiency is wrong inter-well forecast of poro-perms, largely risk contingent upon knowing geology as causes spatial property change.
• G&G defines geology via well and sequence shape models, then simulates collective variations potentially caused by (some 15 factorial) changes in sedimentation, lithofacies and /or structural geology, compaction, digenesis, fluids etc.
• To significantly enhance E&P success requires processing of seismic into better geologic, then poro-perm, and fluid models.
• Seismic now provides relatively accurate pseudo sonic log, time, velocity, depth data per 12.5m trace, at <12.5m vertical. P & S velocity data can be gathered pre stack. Seismic provides excellent seismic stratigraphic shapes, potentially enabling quantitative interpretation (QI) to better define geology of deposition and burial changes.
• Where inter-well cells compact normally relative to well data, conversion to inter-bedded lithologies and their poro-perms should be low risk. Therefore, normalisation, per seismic volume having similar burial compaction controls, allows equilibration by depth shift, with well based ‘normal’ depth compaction. This allows conversion of seismic to geo and petro information that is risk dependent primarily on quantification of burial depth equilibration shift.
• Expert geo-detectives need to process seismic +/- well data to filter presence / absence of such geo-causes of property change, relative to burial-change ‘norm’ then generate a normalised, single most probable geo-petro model. QI filters cellular data to quantify separate and net effects of causes of burial changes. Then, cellular seismic numbers = cellular geologic numbers of deposition and burial changes = cellular petro-physical numbers, in one, most probable, multidisciplinary integration, containing presence / absence of geo-risks.
• Integrating, analysing, visualising and correctly interpreting extra multi-disciplinary measurements goes beyond desktop applications available today. So, we beta tested, in > 30 data sets each >600km3, ‘apps’ to process cellular evidence crucial for geo-detection, for current workstations.

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