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Stand Tall and Speak Up: Where Will the Next Generation Come From?
J Pet Technol 58 (06): 12–14.
doi: https://doi.org/10.2118/0606-0012-JPT
Technology Update: New Options, Improved Economics from Aerogel Insulation
J Pet Technol 58 (06): 24.
doi: https://doi.org/10.2118/0606-0024-JPT
Techbits: Well and Reservoir Surveillance/Management in a High Oil Price World
J Pet Technol 58 (06): 26–28.
doi: https://doi.org/10.2118/0606-0026-JPT
Guest Editorial: Marine Personnel Transfer Requires Industry Attention
J Pet Technol 58 (06): 30–34.
doi: https://doi.org/10.2118/0606-0030-JPT
Technology Tomorrow: The Chemistry of Carbon Capture and Storage
J Pet Technol 58 (06): 36–38.
doi: https://doi.org/10.2118/0606-0036-JPT
Management: It's Time for an Industry Initiative on Heavy Oil
J Pet Technol 58 (06): 40–42.
doi: https://doi.org/10.2118/0606-0040-JPT
Overview: Deepwater Exploration and Production (June 2006)
J Pet Technol 58 (06): 44.
doi: https://doi.org/10.2118/0606-0044-JPT
Design One, Build Two - FPSO Experience in Deepwater West Africa
J Pet Technol 58 (06): 45–46.
doi: https://doi.org/10.2118/0606-0045-JPT
Deepwater, Subsalt Drilling From Nova Scotia, Canada - Case Study
J Pet Technol 58 (06): 56–59.
doi: https://doi.org/10.2118/0606-0056-JPT
Overview: Reservoir Simulation and Visualization (June 2006)
J Pet Technol 58 (06): 60.
doi: https://doi.org/10.2118/0606-0060-JPT
Optimal Coarsening of 3D Reservoir Models for Flow Simulation
J Pet Technol 58 (06): 64–68.
doi: https://doi.org/10.2118/0606-0064-JPT
Treating Uncertainties in Reservoir-Performance Prediction With Neural Networks
J Pet Technol 58 (06): 69–71.
doi: https://doi.org/10.2118/0606-0069-JPT
Characterization of Defects in Coiled Tubing From Magnetic-Flux-Leakage Data
J Pet Technol 58 (06): 78–112.
doi: https://doi.org/10.2118/0606-0078-JPT
Coiled-Tubing Operations in the Panna Field Offshore Western India
J Pet Technol 58 (06): 82–84.
doi: https://doi.org/10.2118/0606-0082-JPT
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