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Volume Visualization, Fast Track
Interpretation, and
Interactive
Crossplot
Analysis
Lead to Discovery: A Case
Study from Santos Basin, Brazil*
By
Donald Dean1, Kim Cline1, Bob Blackmur2, Allan Kean2, Marian Hanna2, and Dave Smith2
Search and Discovery Article #20025 (2004)
*Adapted from extended abstract prepared for presentation at AAPG Annual convention, April 18-21, 2004.
1Veritas Exploration Services, Houston, TX
2El Paso Production, Houston, TX ([email protected])
Abstract
El Paso entered the BS-1 block offshore Brazil in the Santos Basin (Figure 1) in June 2002 in a farm-out from Kerr-McGee. The block expiration date was August 6, 2003. In July, 2003, a gas and condensate discovery was made when a stratigraphic anomaly was penetrated. A fast track interpretation approach was utilized, incorporating AVO attributes and volume visualization techniques to identify leads quickly. An off-structure Itajai-age turbidite sand lobe with an AVO signature similar to that at the nearby Merluza field was chosen as the main prospect.
Workflow
examples are demonstrated that allowed a drilling decision to be made in a very
short time frame. Initial quick look and identification of areas of interest
were prepared by scanning an on-board processed post-stack-migration data
volume. This was followed by a more rigorous examination of the
pre-stack-migrated volume with surfaces mapped, based on amplitude and waveform
criteria. AVO attribute volumes and existing well control were used with volume
visualization techniques, coupled with
interactive
crossplotting to identify pay
and non-pay sands. Several leads at different intervals were identified and
ranked, based on their AVO signature, spatial continuity, and relationship to a
depositional model. This is an iterative process done in real time with the
asset team present to facilitate and speed-up the decision-making process.
The coordinated effort resulted in a discovery in a stratigraphic play type and opened the door for more prospectivity in an area that was previously deemed non-commercial.
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Figure Captions
IntroductionVeritas
was contracted by El Paso to acquire and process a 907-km2 3D
survey to allow them to make a decision to drill or exit the block. The
data were acquired, processed, and interpreted in approximately eight
months. Several prospects were identified, risked, and ranked.
Recommendations were made, and it was decided that an off-structure
stratigraphic feature would be tested, based on an AVO signature that
was similar to known pay at the nearby Merluza field. The well
encountered high-quality gas-saturated sands as predicted by the
pre-drill
InterpretationAn
initial meeting was held with client and Veritas personnel to scan
through the data to identify exploration objectives. Inline, crossline,
and time slice rendering was used along
with thin-slab and opacity methodologies to identify structural
or stratigraphic potential (Figure 2).
Surfaces or horizon zones of interest were identified for further
mapping. Interpretation of the pre-stack time migration data was carried
out in three weeks, starting in early January. Surfaces were mapped,
based on amplitude and waveform correlation criteria. These surfaces
were then used for horizon amplitude draping and formation sculpting of
the AVO attribute volumes (Figure 3).
ConclusionsA condensed time frame based on entry into the block and its expiration date required that a fast track approach be taken to acquire, process, interpret, and drill an exploration well in the Santos Basin. Fast track interpretation methodologies along with AVO attributes for calibration were used to identify and high grade prospects quickly. Coordinated efforts between the client and contractor enabled a discovery in a previously undrilled play type in the Santos Basin.
AcknowledgmentsWe would like to acknowledge Edmundo Marques and Alcindo Moritz from Petrobras; Tom Thiele, and Ken Whetstone from El Paso Production; Robert Hobbs, Arcangelo Sena, Phil Fontana, Doug Mainous, Sashi Devan, and JJ Wu from VeritasDGC. We would like to extend special thank appreciation to Lou Liro, currently with Repsol/YPF, whose knowledge and enthusiasm helped drive this project.
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