Permeability and RRT Estimation from Conventional Logs in a Middle East Carbonate Reservoir Using Neural Network Approach

Proceedings of the Middle East Oil Show

Volumn 13, Issue , 2003, Pages 465-478

  Karri, Suryanarayana ^a   Amari, Khalid Al ^a   Vissapragada, Badarinadh ^b  

^a ADCO   (United Arab Emirates)

^b SCHLUMBERGER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED ANALYSIS; ESTIMATION; MECHANICAL PERMEABILITY; NEURAL NETWORKS; PETROLEUM RESERVOIRS; POROSITY; ROCKS; WELL LOGGING;

CONVENTIONAL LOGS; RESERVOIR ROCK TYPES (RRT); STYLOTIC DENSE LAYERS;

CARBONATES;

EID: 1842505276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Russell, S.D., Garea, B., Al-Hosani, I, A.: Reservoir Characterization Project, Reservoir Rock Types, ADCO internal document, 2001.
2. Badarinadh, Vissapragada, Suryanarayana Karri, Fahd Zaki Youssef, Khalid Sahouh, Antonio Valle: "Log-Derived Permeability in a Heterogeneous Carbonate Reservoir of Middle East, Abu Dhabi, Using Artificial Neural Network," Paper SPE 74345, IPCEM, Mexico, February, 2002.
3. Watfa, M., and Nurmi, R.: "Calculation of Saturation, Secondary Porosity and Producibility in Complex Middle East Reservoirs," Trans. SPWLA Annual Symposium, 1987, Paper CC, 24p.
4. ELAN User's Guide, Schlumberger Document
5. ROCKCELL User's Guide, Schlumberger Document.