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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

Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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Page 1: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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

Page 2: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Presentation Outline

Thin Bed Well Log Analysis

Structure Modeling

Facies Modeling

Petrophysical Modeling

Volumetric Summary

Conclusions and Recommendations

Page 3: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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

Page 4: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Thin Bed Analysis

Page 5: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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

Page 6: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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)

Page 7: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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

Page 8: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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

Page 9: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Gulf of Mexico Example

Page 10: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Gulf of Mexico Example - Thin Bed Analysis

14 MMCFPDw/ 1200 bbls condensate

Page 11: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Gulf of Mexico Turbidite

Page 12: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Gulf of Mexico Turbidite – Thin Bed Analysis

6 MMCFPD

15 MMCFPD

Page 13: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Geological Application

3D reservoir modeling with higher resolution property models, improved reservoir characterization and more accurate volumetric calculations

Page 14: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Structure Model

Page 15: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Original Client Data

A-10 A-13

A-10

A-13

Structure Base Map

Page 16: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Mean Sea Level & 6000’ Structure

Page 17: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

6000’ Structure Top

Fault Block C

Page 18: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

6000’ Structure Top

Fault “T”Fault “R”

Page 19: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Wells and Cross-Section Lines

A

A’

BB’

Page 20: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Well Section A-A’

A A’

A

A’

B B’

Page 21: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Well Section B-B’

B B’

A

A’

B B’

Page 22: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

3D Structure Model

Page 23: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Facies and Petrophysical Modeling

Page 24: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Conceptual Model - Fluvial Deltaic System

Delta

Channels

Shale/Non Reservoir

Page 25: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Seismic Amplitude

Page 26: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Facies Model - Fluvial Deltaic System

Coalescing Deltaic Channel BodiesShale/Non ReservoirDelta Lobes

Deltaic Channels

Page 27: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Net to Gross

6000’ Zone 6050’ Zone

Page 28: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Effective Porosity Zone Average

6000’ Zone 6050’ Zone

Page 29: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Permeability Zone Average

6000’ Zone 6050’ Zone

Page 30: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

STOIIP Zone Sum (STB/AC) - contact @ 6400’

6000’ Zone 6050’ Zone

Page 31: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Reservoir Modeling Results

Page 32: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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

Page 33: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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

Page 34: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

New Well A-15 – Upper Sand

IP’d at 1000 BOPD

Page 35: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

New Well A-15 – Lower Sand

Has not previously been completed

Has not previously been completed

Page 36: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

Well A-15 Standard vs Thin Bed Processing

Standard Processing -140 Net Ft Pay Thin Bed Processing – 187’ Net Pay

Page 37: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

A-15 Monthly Production

Page 38: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

A-19 Monthly Production

Page 39: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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.

Page 40: Identifying By-passed Pay and New Reservoirs by Jeff Bayless of Nutech

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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.