Abstract:
The estimation of rock permeability is essential for modeling reservoir performance and
production history in oil and gas fields, as well as supporting reservoir management and
development across various sectors, including geothermal and underground storage projects.
Despite decades of research, accurately determining true permeability remains a challenge.
The results are often marked by significant uncertainty.
Effective permeability and flow potential in new wells are typically assessed using core and
well testing. Advancements in logging technology and data analytics have expanded log
evaluation techniques, enabling the development of innovative interpretation workflows, which
allow for more representative calculations of permeability from logs.
This lecture first reviews and compares existing permeability prediction methods and logbased typing approaches, emphasizing their advantages, applicability, and limitations when
applied to heterogeneous rock systems. Apparent discrepancies in computed permeability
profiles derived from various log data sources and domains are examined collaboratively,
serving as a learning tool to enhance the understanding of heterogeneous pore connectivity
and the distribution of flow pathways.
Subsequently, integration of the latest advancements in hardware and evaluation techniques is introduced through a field example that provides a comprehensive multi-scale workflow to
deliver understanding of the permeability field, connectivity, well deliverability, and recovery.
I would like the audience to take away the idea that permeability is a critical parameter
throughout all stages of reservoir management; being pertinent to a broad spectrum of
disciplines and energy sectors. While predicting rock permeability remains challenging,
significant progress can be achieved by integrating measurements and expertise through a
collaborative approach.


Biography:
Chiara Cavalleri is a Petrophysics Advisor at SLB in Saudi Arabia, where she
brings extensive expertise in wireline logging, formation evaluation, and well data
interpretation. Her work is centered on leveraging advanced technologies, implementing
multidisciplinary workflows, delivering integrated solutions, and coaching. With years of field
logging experience, Chiara transitioned into petrophysics, holding key technical roles across
West Africa, Europe, and Southeast Asia before establishing herself in the Middle East.
Chiara holds a master’s degree in environmental engineering from the University of Pavia,
Italy. She has contributed to the industry through numerous technical publications on reservoir
characterization across diverse applications, including oil & gas, UGS, CCS, and geothermal
energy. She is also a patent holder and actively shares her expertise through industry
technical events and workshops.

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