Illumination of channelised fluvial reservoirs using geological well-testing and seismic modelling
Abstract
Fluvial reservoirs are amongst the most prominent hydrocarbon bearing deposits in the
world. Complexity in channel networks, spatial pattern and internal heterogeneities are
of the main challenges in characterising these types of reservoir.
In this thesis, a novel geoengineering approach is implemented to integrate the multidomain
information (e.g. outcrop and time-lapse seismic interpretation) and to describe
the well-test response of certain fluvial deposits. Comprehensive modelling and
numerical well-test simulations have then been employed to study the dynamic
behaviour of such systems. These resulted in diagnosing a well-testing family that
includes a new generalised "Ramp Effect" model that is presented for the first
time. Using systematic geostatistical modelling, the ramp effect is elaborated in terms of
spatial statistics. The ramp model has been demonstrated by a few real-life well-test
examples in a variety of channelised environments. Sophisticated multi-point statistics
modelling are utilized to capture the facies transitions producing the lateral crossflow
transients that result in the ramp effect and to demonstrate how the response can be
generated in a meandering and anastomosing fluvial environments.
Internal cross-flow can be confused with external layer cross-flow and with other linear
flow responses (e.g., parallel faults, natural or artificial fractures). The non-uniqueness
in interpretation of the ramp effect is addressed by employing time-lapse seismic data,
which help in detecting the spatial geological heterogeneities and constraining the welltest
interpretations. The illuminating power of the time-lapse seismic data is illustrated
by synthetic seismic modelling examples.
The implications of a complex fluid (i.e. gas-condensate liquid drop-out) on altering the
well-test and seismic responses are also discoursed. A compositional reservoir
simulator is employed to mimic the complex fluid behaviour of the fluvial reservoirs
showing the ramp effect. Application of compositional simulations highlights the
limitations in current petro-elastic modelling that are unable to take the compositional
changes into account. Therefore, a novel approach is also developed to improve the
petro-elastic modelling which facilitates the synthetic seismic generation in the presence
of continuous composition changes of the fluid. This leads towards a better description
of the reservoirs under simultaneous effect of geological and fluid heterogeneities.