الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
 |  | from | 304 |  |  |
| | | from | 304 | | |
Abstract
The ultimate goal of this study is to develop a comprehensive workflow to process
sparse seismic data and well logs using modern technology, then integrate the petrophysical
properties and seismic attributes to build a more accurate and reliable 3D geological model
populated with reservoir’s properties.
Cordel/Stolberg field is an onshore field located in the South-Western part of Alberta
in Canada between latitudes 52° 00’ and 53° 10’ N and longitudes 115° 20’ and 117° 10’ W.
The field is located in the Eastern part of the Cordillera between the foothills of the Rocky
Mountains and Western edge of Central Alberta basin which form the foreland basin. It is
characterized by a complex NW-SE thrust belt, overturned anticlines, and overturned
synclines. This area referred to as (the foreland thrust and fold belt).
The Cardium Formation has two distinctive members Cardium FM and Cardium SS.
Cardium FM is composed of shaly sandstone while Cardium SS is composed of clean finegrained marine sandstone. Cardium Formation is characterized by low porosity and low
permeability. The volume of light hydrocarbons stored in the Cardium Formation is
enormous with reported API value of 50°. The remaining accessible reserves with todaytechnology, amount to 20% of the remaining reserves in West Canada Sedimentary Basin
WCSB. Oil recovery percentage is relatively low, approximately 20%. This low recovery
percentage makes the Cardium, Canada’s single largest conventional petroleum reserve.
The main objectives for this study are:
• Structural interpretation of the seismic data for better understanding the
structural regimes in the area.
• Evaluating the petrophysical parameters of Cardium Formation in the area
reliable through the intensive interpretation of the E-logs.
• Optimize the integration of well logs with the 3D seismic cube to assess the
porosity in the reservoir.
• Recommendation of the best sites for future drilling.
Data available for this study are 16 wells containing wire-line logs, and 3D raw seismic
data. The study is divided into three main sections:
iii
• Petrophysical evaluation: to assess fundamental petrophysical properties at
wells’ locations (lithologies, shale content, porosity, pay zones, etc.)
• Seismic re-processing: Legacy processing flow was evaluated and found to be
not suitable for the intended interpretation. A more sophisticated processing
flow was developed to enhance the subsurface image. Modern technologies
were applied such as Non-Uniform Noise Suppression, Robust surface
consistent deconvolution, anisotropic pre-stack time migration, interpolation
and regularization, and long-period multiple attenuation.
• Seismic interpretation: In this stage a volume-based geological model populated
with petrophysical properties scaled up from well-scale to reservoir-scale will
be made using Framework . During this phase, Genetic Seismic Inversion was
applied to computed formation acoustic impedance, then machine learning
technique (i.e., Neural Network) was used to estimate better and distribute lithofacies and reservoir properties. Finally, accurate volumetric calculations for the
target reservoir were estimated, and all needed maps (thickness/depth) were
generated.
As a reservoir, Cardium sandstone contains light oil of 50° API, shale content
ranges from 3.3% to 18.3%, effective porosity ranges from 6.5% to 11.8%, water saturation
ranges from 39.7% to 71.9%, primary permeability ranges from 0.01 to 0.18 mD, and pay
zone thickness ranges from 7.18 m to 50.03m.
The seismic data used in this study is owned exclusively by Schlumberger, and it has
show/give rights, all the necessary approvals and permissions were acquired. The
petrophysical interpretation was done using TechLog™ software, seismic processing was
done using Omega™ processing package, and seismic interpretation and modeling were
done using Petrel™ software. All the three software are Schlumberger properties. All maps
were made using ArcGIS™ application .produced by ESR