FINAL REPORT

Integrated Outcrop and Subsurface Studies of the Interwell Environment of Carbonate Reservoirs: Clear Fork (Leonardian Age) Reservoirs, West Texas and New Mexico
F. Jerry Lucia and Charles Kerans, principal investigators; Stephen C. Ruppel, James W. Jennings, Jr., and Stephen E. Laubach

This project was completed in January 2002, and a final report was submitted to the U.S. Department of Energy. The report, "Integrated Outcrop and Subsurface Studies of the Interwell Environment of Carbonate Reservoirs: Clear Fork (Leonardian-Age) Reservoirs, West Texas and New Mexico," contains the following chapters: Integrated Geological and Petrophysical Studies of Clear Fork Reservoir Analog Outcrops: Sierra Diablo Mountains, Texas; Cycle and Sequence Stratigraphy of the Clear Fork Reservoir at South Wasson Field: Gaines County, Texas; Calculation and Distribution of Petrophysical Properties in the South Wasson Clear Fork Field; 3-D Modeling of Stratigraphically Controlled Petrophysical Variability in the South Wasson Clear Fork Reservoir; Fracture Analysis of Clear Fork Outcrops in Apache Canyon and Cores from South Wasson Clear Fork Field; and Modeling Coupled Fracture-Matrix Fluid Flow in Geomechanically Simulated Fracture Patterns.

Outcrop stratigraphy and petrophysics were integrated with subsurface data to construct a reservoir model suitable for fluid flow simulation and performance prediction. The model was built using rock-fabric flow layers constrained by high-frequency cycles and sequence boundaries. High-frequency cycles contain a lower mud-dominated fabric and an upper grain-dominated fabric, which defines two rock-fabric flow layers per cycle. Mud-dominated fabrics typically have lower porosity than grain-dominated fabrics do and the porosity difference was used to correlate cycles throughout the study area. New sophisticated statistical methods were used to scaleup porosity and permeability from core and log measurements to grid-block scale. This method preserves the stratigraphic layering of petrophysical properties in the simulation model whereas more traditional methods fail in this regard.

 
For more information, please contact Jerry Lucia, principal investigator. Telephone 512-471-7367;
e-mail jerry.lucia@beg.utexas.edu.
February 2003