Application of Artificial Intelligence to Reservoir Characterization - An Interdisciplinary Approach
- National Petroleum Technology Office
The primary goal of this project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlation's between wells. Using the correlation's and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained.
- Research Organization:
- National Petroleum Technology Office, Tulsa, OK (US)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE) (US)
- DOE Contract Number:
- AC22-93BC14894
- OSTI ID:
- 750056
- Report Number(s):
- DOE/BC/14894-16
- Country of Publication:
- United States
- Language:
- English
Similar Records
Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1994--October 1995
Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly report], January 1--March 31, 1995