Gas chimney identification using the integration of seismic attributes

Journal of Seismic Exploration

Volumn 18, Issue 1, 2009, Pages 43-56

  Bakhtiari, M R ^a   Riahi, M A ^b  

^a NATIONAL IRANIAN OIL COMPANY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Amplitude; Artificial neural network; Dip variance; Energy; Gas chimney; Seismic attributes; Similarity

Indexed keywords

AMPLITUDE; ARTIFICIAL NEURAL NETWORK; IDENTIFICATION METHOD; RESERVOIR ROCK; SEISMIC METHOD; SEISMOLOGY;

EID: 59649083224     PISSN: 09630651     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Heggland, R., 2005. Using gas chimneys in seal integrity analysis: A discussion based on case histories. In: Boult, P. and Kaldi, J. (Eds.), Evaluating Fault and Cap Rock Seals. AAPG Hedberg Series, 2: 237-245.
2. Heggland, R., 1997. Detection of gas migration from a deep source by the use of exploration 3D seismic data. Mar. Geol., 137: 41-47.
3. Heggland, R., Meldahl, P., Bril, A. H. and de Groot, P.F., 1999. The chimney cube, an example of semi automated detection of seismic objects by directive attributes and neural networks. Part II: Interpretation. Expanded Abstr., 69th Ann. Internat. SEG Mtg., Houston.
4. Tingdahl, K.M., 1999. Improving Seismic Detectability Using Intrinsic Directionality. Earth Sciences Center, Goteborg University, Goteborg, Sweden.
5. Tingdahl, K. M., Bril, A. H. and de Groot, P. F., 2001. Improving seismic chimney detection using directional attributes. J. Petrol. Sc. and Engin., 29: 205-211.