Hybrid Neural Network Methods for Lithology Identification in the Algerian Sahara
In this paper, we combine a probabilistic neural method with radial-bias functions in order to construct the lithofacies of the wells DF01, DF02 and DF03 situated in the Triassic province of Algeria (Sahara). Lithofacies is a crucial problem in reservoir characterization. Our objective is to facilitate the experts' work in geological domain and to allow them to obtain quickly the structure and the nature of lands around the drilling. This study intends to design a tool that helps automatic deduction from numerical data. We used a probabilistic formalism to enhance the classification process initiated by a Self-Organized Map procedure. Our system gives lithofacies, from well-log data, of the concerned reservoir wells in an aspect easy to read by a geology expert who identifies the potential for oil production at a given source and so forms the basis for estimating the financial returns and economic benefits.
[1] T. Takazawa, Y. Utsunomiya, Y. Komoriya, M. Bandai, I. Sasase, "VBR
video transmission with isochronous and asynchronous transfer mode over
Wireless 1394", Wireless Personal Multimedia Communications, 2002.
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[2] D. Kang, K. Kang, J. Lee, "UPnP AV Architectural Multimedia System
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[4] Takashi Sato, "Wireless 1394 and The Home Network", 1394 Developers-
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[5] H. Zhang, T. Udagawa, T. Arita, and M. Nakagawa, "Home Entertainment
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Ultra Wideband Systems and Technologies, 2002. Digest of Papers. 2002
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[6] Don Anderson, "FireWire System Architecture 2nd edition",
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[7] IEEE 802.11e/D8.0, Draft Supplement to Part 11: Wireless Medium
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[8] Protocol Adaptation Layer (PAL) for IEEE 1394 over IEEE 802.11e
Working draft Revision 0.71, September 2003.
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Part 1: General.
[12]UPnP QoS Architecture:0.01, March 2003.
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(American Association of Petroleum Geologists) Conference and Exhibition,
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[1] T. Takazawa, Y. Utsunomiya, Y. Komoriya, M. Bandai, I. Sasase, "VBR
video transmission with isochronous and asynchronous transfer mode over
Wireless 1394", Wireless Personal Multimedia Communications, 2002.
The 5th International Symposium on, Volume: 3, pp.1088-1092, October
2002.
[2] D. Kang, K. Kang, J. Lee, "UPnP AV Architectural Multimedia System
with an OSGi Platform", International Symposium on Consumer
Electronics 2004, Vol. 1, pp. 442-446, September 2004.
[3] UPnP AV Architecture:0.83, June 2002.
[4] Takashi Sato, "Wireless 1394 and The Home Network", 1394 Developers-
Conference 2003, June 2003.
[5] H. Zhang, T. Udagawa, T. Arita, and M. Nakagawa, "Home Entertainment
Network: Combination of IEEE 1394 and Ultra Wideband Solutions",
Ultra Wideband Systems and Technologies, 2002. Digest of Papers. 2002
IEEE Conference on, pp.141-145, May 2002.
[6] Don Anderson, "FireWire System Architecture 2nd edition",
MINDSHAARE,INC, 1999.
[7] IEEE 802.11e/D8.0, Draft Supplement to Part 11: Wireless Medium
Access Control (MAC) and Physical Layer (PHY) specifications: Medium
Access Control (MAC) Enhancements for Quality of Service (QoS),
February 2004.
[8] Protocol Adaptation Layer (PAL) for IEEE 1394 over IEEE 802.11e
Working draft Revision 0.71, September 2003.
[9] C. Bae, J. Yoo, K. Kang, Y. Choe, J. Lee, "Home Server for Home Digital
Service Environments", Consumer Electronics, 2003. ICCE. 2003 IEEE
International Conference on, pp.382-383, June 2003.
[10]CEIIEC 61883-4 Consumer audio/video equipment - Digital interface-
Part 4: MPEG2-TS data transmission.
[11] CEIIEC 61883-1 Consumer audio/video equipment - Digital interface-
Part 1: General.
[12]UPnP QoS Architecture:0.01, March 2003.
[13] C. S. Claude,“Practical Analysis for Reservoir Uncertainty. In AAPG
(American Association of Petroleum Geologists) Conference and Exhibition,
September 21-24, Barcelona, Spain. (2003)
[14] K. Derguini,“Applications Sédimentologiques des Diagraphies,” in The
Algerian Geology Journal. pp 1-29. (1995)
[15] C. Dreyfus, et al.,“Réseaux de neurones. Méthodologie et applications,”
in Eyrolles editions, Paris. (2002)
[16] D. Frayssinet,“Utilisation des réseaux de neurones en traitement des
données de diagraphies: prédiction et reconstitution de faciès lithologiques,”
Master thesis. National conservatory of arts and professions C.N.A.M. Paris
V. (2000)
[17] T. D. Gedeon, H. Kuo, and P. M. Wong,“Rule Extraction Using Fuzzy
Clustering for a Sedimentary Rock Data Set,” in International Journal of
Fuzzy Systems, Vol. 4, No. 1, pp 600-605. (2002)
[18] S. Gottlib-Zeh, L. Briqueu, and A. Veillerette,“Indexed Self-Organization
Map: a new calibration system for a geological interpretation of logs,”
Proceedings of IAMG'99, VI, pp 183-188,. Lippard, Naess and Sinding- Larsen Editons Norway. (1999)
@article{"International Journal of Earth, Energy and Environmental Sciences:63916", author = "S. Chikhi and M. Batouche and H. Shout", title = "Hybrid Neural Network Methods for Lithology Identification in the Algerian Sahara ", abstract = "In this paper, we combine a probabilistic neural method with radial-bias functions in order to construct the lithofacies of the wells DF01, DF02 and DF03 situated in the Triassic province of Algeria (Sahara). Lithofacies is a crucial problem in reservoir characterization. Our objective is to facilitate the experts' work in geological domain and to allow them to obtain quickly the structure and the nature of lands around the drilling. This study intends to design a tool that helps automatic deduction from numerical data. We used a probabilistic formalism to enhance the classification process initiated by a Self-Organized Map procedure. Our system gives lithofacies, from well-log data, of the concerned reservoir wells in an aspect easy to read by a geology expert who identifies the potential for oil production at a given source and so forms the basis for estimating the financial returns and economic benefits.
", keywords = "Classification, Lithofacies, Probabilistic
formalism, Reservoir characterization, Well-log data.", volume = "1", number = "4", pages = "55-9", }
