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SPE DISTINGUISHED LECTURER SERIES
is funded principally through a grant of the SPE FOUNDATION The Society gratefully acknowledges those companies that support the program by allowing their professionals to participate as Lecturers. And special thanks to The American Institute of Mining, Metallurgical, and Petroleum Engineers (AIME) for their contribution to the program.
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Enhanced Assessment Techniques for Unconventional Resources
John Lee Texas A&M University
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Global Energy Opportunities Require Creative Thinking
We need increasing amounts of energy of right type at right place and right time Viability of many alternatives limited by practical considerations Unconventional resources play important role for most forecasters Improved assessment methodology a key to availability of needed unconventional resources
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Unconventional U.S. Gas Production Will Increase
History Projections 10 US Lower 48 unconventional US Lower 48 conventional onshore Production, Tcf US Lower 48 offshore US Lower 48 associated Alaska Year EIA 2005
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Dependence on Unconventional Resources to Grow in United States
‘As a result of technological improvements and rising natural gas prices, natural gas production from relatively abundant unconventional sources (tight sands, shale, and coalbed methane) is projected to increase … from 35 percent of total lower 48 production in 2003 to 44 percent in 2025’ EIA Energy Outlook 2005
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Production From Unconventional Sources Will Increase in U.S.
50 44% Diminished supply of conventional resources Production, % Rising natural gas prices Technological improvements 35% 25 Time
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… And Later in the World Diminished supply of conventional resources
Production, % Rising natural gas prices Technological improvements Time
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How Do Conventional and Unconventional Resources Differ?
Massive stimulation treatments Special recovery processes Leading-edge technologies Added Costs
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Resource Distribution and Practical Permeability Limit
Resources Resource size High Low Reservoir quality High Low Practical limit permeability After USGS, 2003
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Resource Distribution and Practical Cost Limit
Resources Resource size High Low Reservoir quality High Low Practical limit cost After USGS, 2003
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Need to Extend Practical Limits Through Technology Advances
Cost Permeability Technology
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NPC Forecasts Technology Impact on Gas Production
32 22 Tcf Year With technology advancement With no technology advancement NPC 2003
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NPC Model Assumes and Identifies Needed Technology Improvements
Technology Area Annual, % 25 years,% Exploration well success Development well success Ultimate per-well recovery Initial production rate 0.53 0.41 0.87 0.74 14 11 24 20 Drilling costs Completion costs Construction costs Fixed operating cost 1.81 1.37 1.18 1.00 37 39 26 22 NPC 2003
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Improved Resource Assessment Key to Much Unconventional Resource Development
Technology Area Annual, % 25 years,% Exploration well success Development well success Ultimate per-well recovery Initial production rate 0.53 0.41 0.87 0.74 14 11 24 20 Resource Assessment Drilling costs Completion costs Construction costs Fixed operating cost 1.81 1.37 1.18 1.00 37 39 26 22 NPC 2003
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Active Projects in Resource Assessment
Quantifying uncertainty in unconventional gas resource assessments in North America Estimating unconventional gas resources outside of North America
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Quantifying Uncertainty in Unconventional Gas Resources in North America
30 years of data Recent, unanalyzed data on unconventional resources Compile resource inventories and analyses Develop assessment methodology Well-developed, analyzed basins Assess resources Provide methodology to operators
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USGS Applied Methodology for Undiscovered Resources in 2003
SAH97.165 Uinta Piceance
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Oil and Gas Resources Occur in Vastly Different Settings
USGS 2003
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Resource Assessment Methodology
Identify areas within petroleum province that are ‘total petroleum systems’ Hydrocarbon source rocks Reservoir rocks Hydrocarbon traps
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Classify Petroleum Systems as Conventional …
USGS 2003
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…or Continuous USGS 2003
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Characteristics of ‘Conventional’ Accumulations
Relatively high matrix permeability Obvious seals and traps High recovery factors
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Characteristics of ‘Continuous’ Accumulations
Regional in extent Diffuse boundaries Low matrix permeabilities No obvious seals or traps No hydrocarbon/water contacts Abnormally close to source rocks Low recovery factors Includes tight sandstones, coalbed gas, oil and gas in fractured shale and chalk
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Some Don’t Accept USGS Model for Unconventional Resources
Green River Uinta Piceance Shanley et al. (2004): Some low-permeability gas fields occur in poor-quality rocks in conventional traps SAH97.165
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Schematic of Assessment Area and Petroleum-Charged Cells
Boundary of assessment area USGS 2003
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Three Resource-Assessment Categories Depicted
Assessment area boundary Areas of untested cells Cells tested by drilling Untested cells with potential to add to reserves in next 30 years USGS 2003
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Petroleum-Charged Cells
Only ‘untested cells with potential’ contribute to resource-base additions Assessment of these cells proceeds on basis of geologic understanding and petroleum engineering principles What we are looking for is untested sweet spots
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Production Decline Curves Used to Predict EUR
10,000 Gas 1,000 Production Rate, Bcf/month Oil Water 100 10 Year USGS 2003
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EUR Distribution for Continuous Accumulation
100,000 EUR, MMcf or 1,000 bbl Percent of Sample 1,000 10,000 100 USGS 2003
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USGS Undiscovered Oil and Gas Estimates for Uinta-Piceance Province, Utah-Colorado
Resource Type Oil, MMSTB Gas, Bscf Conventional Continuous P P Mean 20.39 P P P Mean P P95 12,145.49 P50 20,121.27 Mean 21,211.03 P5 33,978.81 P P Mean 38.78 P
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U.S. and Non-U.S. Basins Selected for Further Study
U.S. basins studied will probably include frontier areas in Travis Peak and Barnett Shale Non-U.S. basins will include Neuquen and Cuyo basins (Argentina) and Sichuan basin (China)
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Estimating Non-U.S. Unconventional Gas Resources
Basin Analogs U.S. Basin Conventional Unconventional Conventional Unconventional Known Known Unknown Known International Basin
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Objectives and Challenges
Develop methodology for identifying analogous basins Estimate potential resources in selected basins Challenges No public literature available General lack of data availability Large number of basins in North America Which parameter to use? What criteria?
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Data Collection Build database of reservoir properties
Define criteria to find analog basins Include characteristics of international basins Enhance with VBA to compare L48 basins with international basins Analog basin progress Final Analog Basins All NA basins: NA basins with unconventional gas potential basins Analog rank (%) 31 basins
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Data Analysis General basin information Source rock information
Reservoir characteristics
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Point Calculation Nearness of match, not relative values
1 × WF1 1 × WF1 1 × WF1 1 × WF2 0.1 × WF2 0.8 × WF2 1 × WF3 0.1 × WF × WF3 1 × WF4 0.7 × WF4 0.7 × WF4 1 × WF5 0.8 × WF5 1 × WF5 1 × WF6 1 × WF6 0 × WF6 Total Pts Basin 1 Basin 2 Nearness of match, not relative values Highest scores most likely analogs
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Rank Result Sheet
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Summary Comments Unconventional resources, especially gas, to play leading role in U.S. energy supply in next 25 years 10 Production, Tcf Year History Projections US Lower 48 conventional onshore US Lower 48 offshore US Lower 48 associated Alaska US Lower 48 unconventional
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Summary Comments Unconventional resources also to play increasingly important role in world energy supply in coming decades
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With no technology advancement
Summary Comments Advances in technology key to developing potential of unconventional resources With no technology advancement With technology advancement 32 22 Tcf Year
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Summary Comments Ability to access resources better, identify potential ‘sweet spots,’ quantify uncertainty important part of technology development
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Summary Comments USGS methodology for resource assessment good starting point
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Summary Comments Widespread applicability of continuous gas accumulation model questioned x
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Summary Comments Final modified model to be applied in U.S., other countries to identify broad potential, specific target areas
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Enhanced Assessment Techniques for Unconventional Resources
John Lee Texas A&M University
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Fall 2005 UG Enrollment Class College Station Qatar Fish 99 10
Freshman 44 8 Sophomore 75 Junior 69 Senior 50 Total 337 18
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Fall 2005 Graduate Enrollment
Degree Total Distance Learning PhD 50 2 MS 93 ME 34 22 Non-Degree 14 191 40
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