490 final presentation
TRANSCRIPT
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Shale Reservoir CharacterizationALJOHOZUKA NATURAL GAS
A B D U L L A H A L S H A M M A S I
B R Y O N J O N E S
H I L L A R Y H O O P E R
D I E G O Z U I G N A
B R I A N K A N E
PNG 490 : INTRODUCTION TO PETROLEUM ENGINEERING DESIGN
4/26/16
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Introduction Overall Goals:
◦ Determine total Original Gas In Place (OGIP)◦ Determine total CO2 Storage Capacity◦ Locations of large pay zones (Sweet Spots)
Importance: ◦ Allowed students to use real Petroleum Engineering data to achieve goals commonly found in the industry
◦ Gave students experience with actual field data
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Commonly Used Terminology Langmuir Isotherm coefficients : Accounts for adsorption of Methane and CO2 to shale pore surfaces.
Monte Carlo Analysis: Analysis to account for uncertainties in method.
Kriging: Matlab function to interpolate and extrapolate values over a specific area.
P10, P50, P90: statistical probabilities of obtaining certain results, 10%, 50%, and 90 %, chance, respectively.
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Outline
Conclusions and Questions
Achieved Goals
Monte Carlo Analysis
Methods
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Method- Gross Pay• Discretization and Digitalization of Structural Maps- Grid 59x75
• Upload values into Matlab to produce Surface Maps of formation top and bottom- linear interpolation used
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Method- Gross Pay
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Method- Net Pay
• Digitization of Well logs • Gamma Ray- Shale formation• Obtain Bulk Density or Neutron Porosity,
And Resistivity values• Upscaling • Recorded values for upscaled intervals
Well 4 – Gamma Ray and Bulk Density
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Method- Net Pay • Petrophysical Properties calculated from well log data
• Total Organic Content (TOC), Volume Fraction of Shale, Effective Porosity , and water saturation
• Various values assigned cutoffs • Effective Porosity < 0.02• Bulk Density < 2.45 g/cc• TOC <0
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Method- OGIP and CO2 Storage • Using Petrophysical Properties OGIP and CO2 storage capacity can be determined at each well
• Gas Volume Formation Factor (Bg)• Temperature and Pressure • Langmuir Isotherm Coefficients
•Values interpolated in Matlab over entire field
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Results-OGIP
Total OGIP: 14.12 trillion SCF
Sweet spot: at the bottom center
Lowest OGIP in the bottom right.
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Results- CO2 Storage Capacity
Total Co2 Storage capacity: 14.58 trillion SCF
Highest capacity: at the bottom center
Lowest Capacity in the bottom right.
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Monte Carlo Analysis
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Monte Carlo AnalysisOGIP histogram CO2 Storage capacity histogram
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Monte Carlo AnalysisOGIP P10, P50, P90 maps CO2 Storage capacity P10, P50, P90 maps
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Discussion Confidence rises based on data and calculations.
Used all available and useful data.
The results of individual parameters (such as porosity and water saturation) are reasonable.
Porosity Water Saturation
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Conclusion
• OGIP and CO2 storage capacity are 14.12 and 14.58 TSCF, respectively.
• OGIP and CO2 storage capacity show similar maps.
• OGIP and CO2 differ due to isotherm coefficients.