Automatic Fracture Identification Using Ant Tracking in Tahe Oilfield

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Abstract:

There were many ways for the identification of 3D seismic data of fracture system,and the traditional manual fracture identification was time consuming.The automatic ant tracking technique for fractures based on ant colony optimization (ACO) is a new method developed in recent years.It displays clearly the distribution of fracture systems and faults.Compared to manual interpretation which only identifys a small amount of very obvious fractures and faults,the new method is more objective,and more clear, accurate and intuitive.This paper proposed the research idea of taking Tahe oilfield 4th block as an example,to identify fractures and to set up the fracture model.The model can display 3D structure shape of the reservoir and have achieved good results.

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

556-559

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Online since:

June 2014

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[1] Z.H. Kang. Xinjiang Petroleum Geology. Vol. 27(2006), pp.12-15. (In Chinese).

Google Scholar

[2] D. Marco and Thomas Stützle: Ant colony optimization . The MIT Press, U.S. (2004).

Google Scholar

[3] T. Cox and K. Seitz: Ant Tracking Seismic Volumes for Automated Fault Interpretation, CSEG Convention, (2007).

Google Scholar

[4] Skov,T., Perdensen,T., Valen,T., Fayemendy,P., Gronlie,A., Hansen,J., Hetlelid,A., Inversen,T., Randen, T. and Sonneland, L., Fault System Analysis Using a New Interpretation Paradigm: EAGE 65th Conference & Exhibition – Stavanger , Norway, 2-5 June. (2003).

DOI: 10.3997/2214-4609-pdb.6.b31

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