Reservoir Characterization Using Time-Lapse Seismic and Production Data
Course Length: 5 Days Course
Dates:
Course
Description:
Reservoir modeling is the practice of generating numerical
representations of reservoir conditions and properties on the basis of
geological, geophysical and engineering data measured at a limited number of
borehole locations. Building an accurate reservoir model is a fundamental step
of reservoir characterization fluid flow performance forecasting and has direct
impact on reservoir management strategies, risk/uncertainties analyses and key
business decisions. Seismic data (due to its high spatial resolution), plays a
key role not only in defining the reservoir structure and geometry, but also in
constraining the reservoir property variations. This course presents innovative
solutions and methods to incorporate seismic and production data in reservoir
characterization and model building processes to improve consistency of
reservoir models with geological and geophysical measurements.
The course also address issues related to (mis)match of the initial
reservoir model with well logs and 3D seismic data. These issues include the
incorporation of various seismic constraints in reservoir property modeling,
the sensitivity of the results to realistic noise in seismic data,
geo-statistical modeling parameters and the uncertainties associated with
quantitative integration of seismic data in reservoir property modeling. Case
studies will be discussed to illustrate the field application of the concepts
in the course.
Who Should Attend:
This course is designed for reservoir engineers, petro physicists,
geoscientists and asset managers
What You
Will Learn:
•
Integration of 3D and time-lapse
seismic data into reservoir modeling and history matching processes
•
Estimation of subsurface geo-models
using multi-objective (stochastic) optimization methods and direct/indirect measurements
to simultaneously constraint model
•
Novel methods to generate reservoir
models that optimally match geological and geophysical data to improve
the processes of reservoir characterization and fluid flow performance forecasting
Course
Outline:
•
Introduction to integrated reservoir studies. Rock physics
analysis. Reservoir modeling and data integration. Reservoir
modeling and joint inversion. Simultaneous optimization of multiple objective
functions for reservoir modeling. Seismic constrained static reservoir modeling.
Seismic and production data incorporation into reservoir models. Uncertainty
analysis
•
Workflows for statistical integration of 3D seismic/4D time-lapse seismic & production
data
•
Estimation of subsurface geo-models
by multi-objective optimization methods. Probabilistic reservoir property
modeling jointly constrained by 3D seismic data, well logs and production data.
Challenges in 4D seismic data incorporation into dynamic reservoir models
•
Field case studies and hands-on practice