PDF《Abstract》

2009 SPE Annual Technical Conference, New Orleans, LA, Web accessed

16 July 2010, http://www.onepetro.org/mslib/app/Preview.do?paperNumber=SPE-124625-MS&

societyCode=SPE ? Chevron

2010 Chevron makes no representation or warranties expressed, implied, statutory or otherwise with respect to the quality, accuracy, completeness or materiality of data, information and materials furnished. Michael Hogg , G. Michael Shook, Michael Pyrcz Chevron Exploration Technology Company AAPG

2010 Annual Convention &

Exhibition New Orleans, Louisiana Selection of Geological Models for Uncertainty Assessment With a Novel Streamline Approach Chevron makes no representation or warranties expressed, implied, statutory or otherwise with respect to the quality, accuracy, completeness or materiality of data, information and materials furnished. ? Chevron

2010 Acknowledgments Julio de la Colina Bill Milliken Elena Sapozhnikov Irene Gullapalli Barney Issen Morgan Sullivan Mike Waite Larry Zarra Joseph Hovadik Tom Mooney Alan Bernath Sebastien Strebelle Dan Khan Himansu Rai De Ville Wickens Moon Chaudhri Dave Larue ? Chevron

2010 Objectives of Our Approach n Provide appropriate end-member depositional architectures relative to a deterministic base case to adequately span the uncertainty space of possible geological conditions. n Provide a basis for dynamic ranking performance of reservoir (geological) models prior to significant time investment by reservoir (simulation) engineers. n Increase the efficiency of the static modeling workflow by ranking architecture-based heterogeneity prior to detailed modeling of petrophysical properties. n Eliminate the hey! …your low case is too connected… concern of simulation engineers by having in-hand quantitative connectivity assessment. ? Chevron

2010 Reasons for Our Approach R

2 = 0.9961

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 Dynamic Lorentz Coefficient, Lc Discounted Oil Recovery 5-spot injection pattern Line drive Shook, G, Michael, and K. M. Mitchell, 2009, A Robust Measure of Heterogeneity for Ranking Earth Models: The F-PHI Curve and Dynamic Lorenz Coefficient: SPE 124625,

2009 SPE Ann. Technical Conference, New Orleans, LA. Shook and Mitchell (2009) demonstrated the dynamic Lorenz coefficient to be the most robust of

5 studied measures for ranking models by dynamic heterogeneity. Their evaluation included

450 simulation cases and their results demonstrate heterogeneity is a very good predictor of project economics (figure below). Advances in modeling of depositional settings (e.g., Pyrcz, et al., 2006) allow for the construction of detailed expert-driven rule-based architectures which together with permeability govern heterogeneity Pyrcz, M.J., et al., 2006, Event-base Models as a Quantitative Laboratory for Testing Quantitative Rules associated with Deepwater Distributary Lobes: Gulf Coast Section SEPM 26th Ann. Research Conference, pp. 923-950. ? Chevron

2010 Process of Dynamic Heterogeneity Assessment Earth model construction Dynamic analysis leading to forecasts and economic models * ? Chevron

2010 Key Words n Architecture n F C PHI curve n Dynamic Lorenz coefficient ? Chevron

2010 0.001

100 permeability A B C n Examples of depositional architecture, net-to- gross, and permeability affecting heterogeneity described by the Dynamic Lorentz coefficient. Factors Affecting Streamline Based Heterogeneity Predominant Lorentz Lorentz Fan Architectural Coefficient Coefficient Image Position Element Net-to-Gross Permeability Swept PHI Total PHI A distal sheet