Reservoir Quality Prediction Studies www.tgsnopec.com Temperature geohistory chart Thin section image of subarkosic sandstone Predicting reservoir properties away from well control is complicated due to the variety of factors that influence porosity and permeability. Quartz cementation and compaction effects are two such factors. By using specialist in-house software, TGS is able to quantitatively model these effects and therefore predict the possible variations of porosity and permeability of reservoirs. The technology considers the primary textural, compositional and diagenetic influences on porosity and permeability, along with the impact of quartz grain coatings and overgrowth cementation. Monte Carlo simulations make probabilistic predictions of reservoir quality by incorporating the uncertainties and variabilities in input values into the model simulations. Exploration Applications • Pre-drill reservoir quality prediction • Risk assessment and prospect ranking • Regional reservoir quality trends Development Applications • Assessment of reservoir quality variation within fields • Optimising well locations SEM image of chlorite (C) and wispy illite (I) coating a quartz grain Approach • Detailed textural and diagenetic petrographic analysis • Integrated core analysis data • Petrophysical interpretation • 1D basin modelling of wells and pseudo-well locations • Monte Carlo simulation of predicted reservoir properties

Reservoir Quality Prediction Studies - TGS

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Reservoir Quality Prediction Studies

www.tgsnopec.com

Temperature geohistory chart

Thin section image of subarkosic sandstone

Predicting reservoir properties away from well control is complicated due to the variety of factors that influence porosity and permeability. Quartz cementation and compaction effects are two such factors. By using specialist in-house software, TGS is able to quantitatively model these effects and therefore predict thepossible variations of porosity and permeability of reservoirs.

The technology considers the primary textural, compositional and diagenetic influences on porosity and permeability, along with the impact of quartz grain coatings and overgrowth cementation. Monte Carlo simulations make probabilistic predictions of reservoir quality by incorporating the uncertainties and variabilities in input values into the model simulations.

Exploration Applications

• Pre-drill reservoir quality prediction• Risk assessment and prospect ranking• Regional reservoir quality trends

Development Applications

• Assessment of reservoir quality variation within fields• Optimising well locations

SEM image of chlorite (C) and wispy illite (I) coating a quartz grain

Approach

• Detailed textural and diagenetic petrographic analysis• Integrated core analysis data• Petrophysical interpretation• 1D basin modelling of wells and pseudo-well locations• Monte Carlo simulation of predicted reservoir properties

Reservoir Quality Prediction Studies

www.tgsnopec.com

Permeability prediction map

CPI log plot

Experience

• Norwegian Sea – Tertiary to Permian reservoirs• Barents Sea – Jurassic to Triassic reservoirs• Dutch North Sea – Permian reservoirs• Indonesia – Miocene to Pliocene reservoirs• Nigeria – Tertiary reservoirs

Benefits

• Reduce drilling risk by accurately predicting porosity and permeability before drilling

• Rank exploration prospects based on predicted reservoir quality

• Rank development well locations based on modelled reservoir quality

• Qualitatively analyse the sensitivity of the predictions to the input variables

For more information contact TGS at:Tel: +44 (0)208 339 4200Email: [email protected]

TGS171-185 Ewell RoadMillbank HouseSurbitonSurreyKT6 6AP, UK