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Identifying By-Passed Pay and New Reservoirs Using Rock Texture PetrophysicsIntegrated with 3D Geologic Modeling
Offshore Gulf of MexicoNew Wells and Thin Bed Process Update
Presentation Outline
Thin Bed Well Log Analysis
Structure Modeling
Facies Modeling
Petrophysical Modeling
Volumetric Summary
Conclusions and Recommendations
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
Thin Bed Analysis
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 intervalsFEATURES
• Better net-to-gross determination
• Better determination of hydrocarbons in place
• Better perm determination
• High resolution analysis
BENEFITS
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)
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
Thin Bed Output to Textural Based Processing
hydrocarbon
mobilewater
capillaryboundwater
clay boundwater
PHIEPHIT
FFIBVICBW
NMR T2
CLAY BOUND WATER
CAPILLARY BOUND WATER
MEDIUM GRAINED
PORES
COURSE GRAINED
PORES
BIN1 BIN2 BIN3 BIN4
NTV Pore Size
PHIEPHIT
Gulf of Mexico Example
Gulf of Mexico Example - Thin Bed Analysis
14 MMCFPDw/ 1200 bbls condensate
Gulf of Mexico Turbidite
Gulf of Mexico Turbidite – Thin Bed Analysis
6 MMCFPD
15 MMCFPD
Geological Application
3D reservoir modeling with higher resolution property models, improved reservoir characterization and more accurate volumetric calculations
Structure Model
Original Client Data
A-10 A-13
A-10
A-13
Structure Base Map
Mean Sea Level & 6000’ Structure
6000’ Structure Top
Fault Block C
6000’ Structure Top
Fault “T”Fault “R”
Wells and Cross-Section Lines
A
A’
BB’
Well Section A-A’
A A’
A
A’
B B’
Well Section B-B’
B B’
A
A’
B B’
3D Structure Model
Facies and Petrophysical Modeling
Conceptual Model - Fluvial Deltaic System
Delta
Channels
Shale/Non Reservoir
Seismic Amplitude
Facies Model - Fluvial Deltaic System
Coalescing Deltaic Channel BodiesShale/Non ReservoirDelta Lobes
Deltaic Channels
Net to Gross
6000’ Zone 6050’ Zone
Effective Porosity Zone Average
6000’ Zone 6050’ Zone
Permeability Zone Average
6000’ Zone 6050’ Zone
STOIIP Zone Sum (STB/AC) - contact @ 6400’
6000’ Zone 6050’ Zone
Reservoir Modeling Results
Volumetric Summary
Reservoir Volumetric Summary (Oil/Wtr Contact at 6350’)Source: NuView Reservoir Model
Reservoir Bulk (rb) Net (rb) Pore (rb) HCPV (rb) STOIIP (bbl) Assoc. Gas (mcf)
6000 189,729,115 189,729,115 44,872,606 26,176,740 22,183,678 8,429,189
6050 113,871,978 113,871,978 28,211,787 15,220,658 12,898,863 4,901,214
Total 303,601,093 303,601,093 73,084,393 41,397,397 35,082,541 13,330,404
Reservoir Volumetric Summary (Oil/Wtr Contact at 6400’)Source: NuView Reservoir Model
Reservoir Bulk (rb) Net (rb) Pore (rb) HCPV (rb) STOIIP (bbl) Assoc. Gas (mcf)
6000 243,917,923 243,917,923 57,905,811 30,429,705 25,787,886 9,798,690
6050 164,936,450 164,936,450 40,776,820 19,749,456 16,736,828 6,359,536
Total 408,854,374 408,854,374 98,682,631 50,179,161 42,524,714 16,158,225
Main Pass Blk 59 Fault Block C Reservoir Volumetric Summary (Oil/Wtr Contact at 6350’)Source: NuView Reservoir Model
Reservoir Bulk (rb) Net (rb) Pore (rb) HCPV (rb) STOIIP (bbl) Assoc. Gas (mcf)6000 170,827,175 170,827,175 39,956,971 15,594,800 13,215,933 894,401,4916050 101,353,757 101,353,757 26,932,575 13,477,824 11,421,885 772,987,504Total 272,180,932 272,180,932 66,889,546 29,072,624 24,637,817 1,667,388,995
Previous Traditional Log Analysis2006
2014Current Thin Bed Log Analysis
A-15 Pre-Drill and Post-Drill Comparison
Post-Drill NuLook
A15_Loc
Pre-Drill Virtual Well
5600’ SD
5900’ SD
6000’ SD
6050’ SD
New Well A-15 – Upper Sand
IP’d at 1000 BOPD
New Well A-15 – Lower Sand
Has not previously been completed
Has not previously been completed
Well A-15 Standard vs Thin Bed Processing
Standard Processing -140 Net Ft Pay Thin Bed Processing – 187’ Net Pay
A-15 Monthly Production
A-19 Monthly Production
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.
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 therecipient, 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 propertywhatsoever, 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 thismaterial or the data it contains.