Petrophysical properties and network models of gas-bearing reservoir rocks. Annual report, October 1988-November 1989

Technical Report · Wed Nov 01 00:00:00 EST 1989

OSTI ID:6975144

A three-part pattern recognition algorithm was developed that can be used to define connected pathways for fluid flow from petrographic thin sections or to classify geological features from remote-sensing or petrographic images. Studies continue on the effect of clay on acoustic velocities in tight gas sandstones. A new formulation was developed to quantify the effects of grain-scale local flow on dynamic elastic modulus dispersion.

• Research Organization: Stanford Univ., CA (USA). Dept. of Geophysics
• OSTI ID: 6975144
• Report Number(s): PB-90-172537/XAB
• Resource Relation: Other Information: See also PB--89-214068
• Country of Publication: United States
• Language: English

Related Subjects

03 NATURAL GAS
NATURAL GAS
RESERVES
ALGORITHMS
COMPUTERIZED SIMULATION
FLUID FLOW
GEOLOGIC SURVEYS
PETROGRAPHY
PROGRESS REPORT
REMOTE SENSING
SANDSTONES
DOCUMENT TYPES
ENERGY SOURCES
FLUIDS
FOSSIL FUELS
FUEL GAS
FUELS
GAS FUELS
GASES
MATHEMATICAL LOGIC
RESOURCES
ROCKS
SEDIMENTARY ROCKS
SIMULATION
SURVEYS
030200* - Natural Gas- Reserves
Geology
& Exploration