1 research outputs found
Ultra-fast screening of stress-sensitive (naturally fractured) reservoirs using flow diagnostics
Quantifying the impact of poro-mechanics on reservoir performance is critical to the
sustainable management of subsurface reservoirs containing either hydrocarbons,
groundwater, geothermal heat, or being targeted for geological storage of fluids (e.g., CO2
or H2). On the other hand, accounting for poro-mechanical effects in full-field reservoir
simulation studies and uncertainty quantification workflows in complex reservoir models
is challenging, mainly because exploring and capturing the full range of geological and
mechanical uncertainties requires a large number of numerical simulations and is hence
computationally intensive. Specifically, the integration of poro-mechanical effects in
full-field reservoir simulation studies is still limited, mainly because of the high
computational cost. Consequently, poro-mechanical effects are often ignored in reservoir
engineering workflows, which may result in inadequate reservoir performance forecasts.
This thesis hence develops an alternative approach that couples hydrodynamics using
existing flow diagnostics simulations for single- and dual-porosity models with poro mechanics to screen the impact of coupled poro-mechanical processes on reservoir
performance. Due to the steady-state nature of the calculations and the effective proposed
coupling strategy, these calculations remain computationally efficient while providing
first-order approximations of the interplay between poro-mechanics and hydrodynamics,
as we demonstrate through a series of case studies. This thesis also introduces a new
uncertainty quantification workflow using the proposed poro-mechanical informed flow
diagnostics and proxy models. These computationally efficient calculations allow us to
quickly screen poro-mechanics and assess a broader range of geological, petrophysical,
and mechanical uncertainties to rank, compare, and cluster a large ensemble of models to
select representative candidates for more detailed full-physics coupled reservoir
simulations.James Watt Scholarshi