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Integrated Reservoir Fluid Intelligence (IRFI)

Map of offshore oil samples in the Gulf of America with accompanying histograms showing the distribution of API gravity and s

Every reservoir tells a story, but no single dataset tells the entire story.


Integrated Reservoir Fluid Intelligence (IRFI) is GeoMark Research's multidisciplinary approach that combines petroleum geochemistry, PVT analysis, reservoir fluid characterization, production allocation, and decades of regional data intelligence to provide operators with a more complete understanding of their reservoirs. By integrating these traditionally separate datasets, IRFI transforms laboratory measurements into actionable insight that supports exploration, appraisal, development, production optimization, and enhanced oil recovery.


Conventional workflows often evaluate geochemistry and PVT independently. While each discipline delivers valuable information, their greatest value emerges when they are interpreted together. Geochemistry identifies fluid origin, migration pathways, thermal maturity, reservoir connectivity, and production contributions, while PVT analysis quantifies fluid behavior under reservoir conditions, including saturation pressure, viscosity, density, formation volume factor, and gas-oil ratio. Together, these complementary datasets reveal not only how fluids behave, but why they behave that way.


This integrated perspective enables operators to answer questions that individual datasets cannot resolve alone:

  • Are commingled production streams originating from the expected intervals?

  • Are reservoirs truly connected, or are they compartmentalized?

  • How will fluid properties change throughout production?

  • Which zones are contributing to production over time?

  • Where can recovery strategies be optimized to maximize value?

IRFI delivers measurable benefits throughout the petroleum lifecycle. During exploration, it strengthens petroleum system understanding and reduces uncertainty in prospect evaluation. During field development, it improves reservoir characterization and fluid modeling. During production, it supports production allocation, reservoir surveillance, and field optimization. During enhanced recovery projects, it provides the integrated fluid intelligence needed to monitor injected fluids, evaluate sweep efficiency, and understand changing reservoir conditions.

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