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A GEOTECHNICAL DATA BASE DEVELOPMENT AND APPLYING DATA MINING TECHNIQUES TO EXTRACT THE COMMON TRENDES OF OFFSHORE GEOTECHNICAL PROPERTIES OF SOUTH PARS GAS FIELD/ PERSIAN GULF/ IR-IRAN

عنوان مقاله: A GEOTECHNICAL DATA BASE DEVELOPMENT AND APPLYING DATA MINING TECHNIQUES TO EXTRACT THE COMMON TRENDES OF OFFSHORE GEOTECHNICAL PROPERTIES OF SOUTH PARS GAS FIELD/ PERSIAN GULF/ IR-IRAN
شناسه ملی مقاله: NSMI07_071
منتشر شده در هفتمین همایش ملی صنایع دریایی ایران در سال 1384
مشخصات نویسندگان مقاله:

H. Shiri - GJ,MSc Geotechnical Engineering, M.H.PashnehTala, MSc Artificial Intelligence ,PetroPars Ltd, ۲۰۰۵, Tehran,IR-IRAN

خلاصه مقاله:
Iran's largest natural gas field is South Pars, geologically an extension of Qatar's 900-Tcf North Field. South Pars was first identified in 1988 and originally appraised at 128 Tcf in the early 1990s. This Field contains 38.6 % of the gas resources of Iran and is regarded as the largest offshore gas field in the world. Offshore geotechnical site investigations are one of the key activities of upstream fields operators to supply the EPC contractors with the required results for designing approaches of offshore complexes. In the mean time a lot of marine site investigations have been carried into execution within the phases of South Pars development. The authors are currently trying to create the fundamentals of investigating the small- and large-scale spatial variability of the South Pars Gas Field in Persian Gulf / IRAN. Part of this investigation is the providing of an extensive data base of the offshore geotechnical properties of South Pars . Such a data base, will enable a model to be developed of the large-scale variability of these properties. In addition, this data set will provide a data whereby general trends to be established, as well as, providing relationships between geotechnical parameters and spatial parameters utilizing probabilistic and data mining methods like ANN ( Artificial Neural Network ) in Geotechnical Engineering.

کلمات کلیدی:
South Pars, Geotechnical, Data Mining

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/7205/