About This Item
- Full TextFull Text(subscription required)
- Pay-Per-View PurchasePay-Per-View
Purchase Options Explain
Share This Item
The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
1Manuscript received June 24, 1998;
revised manuscript received May 25, 1999; final acceptance May 27, 1999.
2Shell Research and Technical Services
B.V., Rijswijk, The Netherlands. Present address: Abu Dhabi Company for
Onshore Oil Operations (ADCO), P.O. Box 270, Abu Dhabi, United Arab Emirates;
e-mail: jgrotsch@ emirates.net.ae
3Shell Philippines Exploration and
Production, Manila, Philippines. Present address: NAM B.V. BUO-ODP/1, De
Brauwweg 80, 3100 AA Schiedam, The Netherlands; e-mail: [email protected].
simis.com
ABSTRACT
A modeling functionality was developed to allow
development of multiple-scenario 3-D reservoir models in an exploration
or appraisal stage. The model enables merging of seismic-scale observations
based on 3-D volume and horizon analyses with subseismic scale information
from well data; however, inherent noise within the seismic data introduced
by the complex buildup morphology has resulted in inconsistent attribute
distribution and fault dimming. These difficulties are compounded by erratic
velocity distribution within the limestone, nonhyperbolic move out, and
a narrow relatively low-frequency spectrum, all of which prevent the use
of the 3-D seismic volume as hard data but rather allow its use as a soft
constraint for guiding the geological interpretation and ultimately the
modeling process. Seismic data quality in such complex morphologic settings
and scarcity of well data hamper greatly the use of geostatistically driven
modeling approaches; therefore, a new functionality was developed within
Shell's proprietary integrated 3-D modeling suite (GEOCAP), which allows
deterministic model reservoirs using seismic horizon and volume interpretation,
sequence- and cyclo-stratigraphic architecture, and the concept of reservoir
rock type.
Seismic velocity in clean carbonate formations
is predominantly a function of porosity distribution. To assess time-to-depth
conversion uncertainty, the reservoir rock type based models were first
produced in the time domain. Only after differential 3-D depth conversion
of these models could the scenarios be reconstructed in the depth domain.
The depth models subsequently were used to derive permeability and saturation
3-D distortions, and thus hydrocarbon volumes for each deterministic scenario.
The models were then used for simulation purposes.
Pay-Per-View Purchase Options
The article is available through a document delivery service. Explain these Purchase Options.
Watermarked PDF Document: $14 | |
Open PDF Document: $24 |
AAPG Member?
Please login with your Member username and password.
Members of AAPG receive access to the full AAPG Bulletin Archives as part of their membership. For more information, contact the AAPG Membership Department at [email protected].