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Reservoir Characterization 
Capstone Project Semester 1 
PNG 490 – Team 26 
April 29th 2014
Group Members 
• Ferman Jabbari 
• Luke Spinuzza 
• Majid Al-Mujaini 
• Michael Camus 
• David Verm
Goals and Objectives 
• Discretize and map the given formations 
• Analyze log data 
• Calculate expected recoverable oil in place 
• Recommend further action with the field
Findings 
• Based upon the data: 
• 100 - 270 Million Barrels 
• 100 Dollar per Barrel comes out 10 – 27 Billion Dollars 
• Further develop the selected area
Procedure 
Client received request for field analysis 
Field discretization 
Digitalized formation topography 
Analyzed log data on 29 wells 
Establish max, min & avg: water saturation & porosity 
Interpolated values to entire reservoir 
Using generated data & 3 D models to determine sweet spots
Geological Structure 
• Penta Alpha was formed in the early cretaceous period 
• Predict the ability to produce oil 
• Types of lithology 
• Limestone , sandstone, and minimal shale deposits 
• Types of obstacles 
• Drilling Break, and kick 
• Pay zone rocks 
• Sandstone
Discretization Process 
• Analyzing contour map 
• Drawing grids 
• Construct surface map 
• Surface Map of Penta Alpha Formation
3-D Surface Map 
Surface Map of Penta Alpha Formation
Evaluating Well logs 
• Establish cut-offs 
• Water saturation < .7 or 70% 
• Gamma ray < 40 API 
• Resistivity > 10 ohm-meters 
• Determine Net Pay
Well log data gathering 
• From porosity, water saturation and net pay thickness 
• Determine maximum, minimum and average values 
• Three distribution maps of porosity, water saturation and 
net pay thickness
Average Water Saturation 
Interpolation
Average Porosity Interpolation 
• Average Porosity Interpolation
Net Pay Interpolation 
• Net Pay Thickness Interpolation
Monte Carlo Stimulation 
• Calculate Values within set ranges for: 
• Recovery Factor of 0.2 to 0.4 
• Formation Volume Factor of 1.05 – 1.08 
• Calculated OOIP ranged 
• 375 – 675 million barrels 
• Calculated recoverable oil 
• 100 – 270 million barrels
Moderate Estimate (50% confidence)
Conservative Estimate (90% confidence)
Area of Interest 
• Determine the areas with higher barrels per acres from 
recoverable oil in place 
• P50 stimulation 
• area of 3643 acres and produce around 34 million barrels. 
• P90 stimulation 
• area of 3643 acres and produces around 18.5 million barrels
Area of Interest 50 Percentile
Area of Interest 90 Percentile
Cumulative Oil in Place
Cumulative Recoverable Oil
Conclusion 
• Valued at approximately 10 – 27 billion US Dollars 
• A well drilled every 640 acres should be suitable in this 
situation 
• Potential revenue should be attributed to a water saturation 
cut off of 70% 
• Recommend entering phase two of drilling and preparing 
wells for production
Reference 
• Alsharhan, A.S., and A.E.M. Nairn. Sedimentary Basins and 
Petroleum Geology of the Middle East. N.p.: Elsevier Science & 
Technology, 1997. Print. 
• Canty, Daniel. "Enhanced Oil Recovery Leaders in the Middle 
East." Arabianoilandgas. ITP Bussiness Publishing Ltd., 11 June 
2012. Web. 17 Apr. 2014. 
• Doveton, John H. "Basic Well Log Analysis: Reading Rocks from 
Wireline Logs." SEPM Shore Course No.29. 7 Apr. 2014. 
Lecture.

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Penta Capstone Semester 1

  • 1. Reservoir Characterization Capstone Project Semester 1 PNG 490 – Team 26 April 29th 2014
  • 2. Group Members • Ferman Jabbari • Luke Spinuzza • Majid Al-Mujaini • Michael Camus • David Verm
  • 3. Goals and Objectives • Discretize and map the given formations • Analyze log data • Calculate expected recoverable oil in place • Recommend further action with the field
  • 4. Findings • Based upon the data: • 100 - 270 Million Barrels • 100 Dollar per Barrel comes out 10 – 27 Billion Dollars • Further develop the selected area
  • 5. Procedure Client received request for field analysis Field discretization Digitalized formation topography Analyzed log data on 29 wells Establish max, min & avg: water saturation & porosity Interpolated values to entire reservoir Using generated data & 3 D models to determine sweet spots
  • 6. Geological Structure • Penta Alpha was formed in the early cretaceous period • Predict the ability to produce oil • Types of lithology • Limestone , sandstone, and minimal shale deposits • Types of obstacles • Drilling Break, and kick • Pay zone rocks • Sandstone
  • 7. Discretization Process • Analyzing contour map • Drawing grids • Construct surface map • Surface Map of Penta Alpha Formation
  • 8. 3-D Surface Map Surface Map of Penta Alpha Formation
  • 9. Evaluating Well logs • Establish cut-offs • Water saturation < .7 or 70% • Gamma ray < 40 API • Resistivity > 10 ohm-meters • Determine Net Pay
  • 10. Well log data gathering • From porosity, water saturation and net pay thickness • Determine maximum, minimum and average values • Three distribution maps of porosity, water saturation and net pay thickness
  • 11. Average Water Saturation Interpolation
  • 12. Average Porosity Interpolation • Average Porosity Interpolation
  • 13. Net Pay Interpolation • Net Pay Thickness Interpolation
  • 14. Monte Carlo Stimulation • Calculate Values within set ranges for: • Recovery Factor of 0.2 to 0.4 • Formation Volume Factor of 1.05 – 1.08 • Calculated OOIP ranged • 375 – 675 million barrels • Calculated recoverable oil • 100 – 270 million barrels
  • 15. Moderate Estimate (50% confidence)
  • 17. Area of Interest • Determine the areas with higher barrels per acres from recoverable oil in place • P50 stimulation • area of 3643 acres and produce around 34 million barrels. • P90 stimulation • area of 3643 acres and produces around 18.5 million barrels
  • 18. Area of Interest 50 Percentile
  • 19. Area of Interest 90 Percentile
  • 22. Conclusion • Valued at approximately 10 – 27 billion US Dollars • A well drilled every 640 acres should be suitable in this situation • Potential revenue should be attributed to a water saturation cut off of 70% • Recommend entering phase two of drilling and preparing wells for production
  • 23. Reference • Alsharhan, A.S., and A.E.M. Nairn. Sedimentary Basins and Petroleum Geology of the Middle East. N.p.: Elsevier Science & Technology, 1997. Print. • Canty, Daniel. "Enhanced Oil Recovery Leaders in the Middle East." Arabianoilandgas. ITP Bussiness Publishing Ltd., 11 June 2012. Web. 17 Apr. 2014. • Doveton, John H. "Basic Well Log Analysis: Reading Rocks from Wireline Logs." SEPM Shore Course No.29. 7 Apr. 2014. Lecture.

Editor's Notes

  1. Based upon the data, X barrels, x money, we recommend to futher develop this field into the next phase
  2. Picture of surface map Talk about geological characteristics And discretization Possibly defend choices in map discretization
  3. Wells in place map
  4. Explain some cut offs and why Maybe pic of interpolation of one variable to highlight point
  5. P50 map bbl/acres In 50 percent of the stimulations we found Point out any spaces of note
  6. Barrels per acre More conservative estimate 90% of simulations at least blah blah blah
  7. Why we chose area(maybe on slide before) How large is the area? How many Standard barrels we think are there
  8. Talk about differences
  9. Show that we understand how much there is to gain. Talk about highlights