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Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech
1. Identifying By-Passed Pay and New
Reservoirs Using Rock Texture Petrophysics
Integrated with 3D Geologic Modeling
Offshore Gulf of Mexico
New Wells and Thin Bed Process Update
2. Presentation Outline
Thin Bed Well Log Analysis
Structure Modeling
Facies Modeling
Petrophysical Modeling
Volumetric Summary
Conclusions and
Recommendations
3. Summary
Objectives
• Previous traditional models
underestimated OIP
• Run Thin Bed Process for
higher resolution
characterization
• Build a 3D geological model
and distribute facies and
petrophysical properties
• Update Original Oil in Place
• Recommend new drilling
opportunities and bypassed
pay recompletions
Inputs
• 28 wells, directional
surveys, wireline logs
• Well formation tops
• Interpreted structure maps
• Seismic amplitude
• Geologic depositional
model
• Well completion and
production history
Petrophysical
Overview
• Wells were analyzed using
the comprehensive
modeling process for Thin
Bed environments
• All data was incorporated
into the 3D reservoir
modeling process
Geological
Observations
• The depositional system
characterized as a fluvial
deltaic system with channel
and lobe deposits
• Reservoir trapping appears
to be primarily structural
with possible stratigraphic
elements
5. Thin Bed Analysis
• Ability to get high resolution results from conventional data
• Higher resolution answers from old log data
• Important for highly laminated and low contrast intervals
FEATURES
• Better net-to-gross determination
• Better determination of hydrocarbons in place
• Better perm determination
• High resolution analysis
BENEFITS
6. Input Data Requirements
Minimum requirement
• Resistivity/SP (best results occur when triple combo data is available)
• One high resolution device (i.e. shallow resistivity or some device that
indicates laminations)
7. How Thin Bed Analysis Works
• Utilizes second
derivative to
determine inflection
points along log
• Adjustable for given
area, like multi-layer
simulator
• Corrects RT, Density,
GR and Neutron for
thin beds
8. Thin Bed Output to Textural Based Processing
hydrocarbon
mobile
water
capillary
bound
water
clay bound
water
PHIE
PHIT
FFIBVICBW
NMR T2
CLAY
BOUND
WATER
CAPILLARY
BOUND
WATER
MEDIUM
GRAINED
PORES
COURSE
GRAINED
PORES
BIN1 BIN2 BIN3 BIN4
NTV Pore Size
PHIE
PHIT
12. Gulf of Mexico Turbidite – Thin Bed Analysis
6 MMCFPD
15 MMCFPD
13. Geological Application
3D reservoir modeling with higher resolution property models,
improved reservoir characterization and more accurate
volumetric calculations
39. Conclusions and Recommendations
• Previous study recommended two successful wells: A-15 and A-19 that are still producing today.
• Addition of this new well data and refined Thin Bed log processing has resulted in an improved reservoir model.
• Improved model has increased the hydrocarbon volumes to account for the over production of initial estimate.
• The following are recommendations for further field development: 3 new wells and 2 recompletions.
A new well should be
planned to test the
5900’ zone and the
6000’ zone at a
location just between
the A10 and A8 wells.
This was proven
successful with the
new A19 well.
Re-complete the A14
well in the 6000’ zone
before leaving the
well.
Re-complete the
6050’ zone in the A2
well.
A well should be
considered between
the A8 and the A14
wells for the 6000’-
6050’ zones as the
model indicates good
properties in that
location.
A well should be
considered between
the A9 and the fault
to the West as both
the A9 and 8461_2
show overbank
deposits leaving room
for good quality sand
to the West with good
amplitude.
The Thin Bed log processing has resulted in a higher resolution model and increased hydrocarbon volume by ~40%
addressing the overproduction concern as well as a better understand of the reservoir connectivity and stratigraphic
traps created by thin coalescing channel bodies.
40. The information is confidential and proprietary to Nutech Energy Alliance. It is intended to be reviewed only by intended and the information may not be copied, shared, distributed or otherwise communicated to any person or entity other than the
recipient, without the express written consent of Nutech.
While Nutech Energy Alliance has taken every precaution as to the accuracy of content and data presented herein, Nutech cannot be held responsible for the individual interpretation of the data presented any loss of damage to any property
whatsoever, injury or death to any persons whatsoever, or any claims, demands, actions, complaints, proceedings, judgment, losses, damages, compensation, liabilities, costs or charges, however arising from the unauthorized, undirected use of this
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