Treffer: Analysing spatialized data: applications of geo-datasciences in geophysics and petroleum industry ; تحلیل داده‌ی مکانی: کاربردهایی از علم داده‌ی مکانی در ژئوفیزیک و صنعت نفت ; Analyse de données spatialisées : applications de la science des données géolocalisées dans la géophysique et l’industrie pétrolière

For centuries, the classical theories of the earth-sciences were developed based on the observations and the hypotheses to justify them. Since 20th century, the digitized observations (data) as well as the progress of statistical methods and numerical capacities paved the road for the “geo-datasciences” (§ ‎1).This manuscript reviews the application of the data-sciences to divers’ domains within the earth-sciences. Most publications are about the petrophysical well-log interpretation to characterize petroleum reservoirs, using data fusion algorithms: estimation, classification, and cluster analysis (§ ‎2).However, the recent publications are mainly about the application of geostatistics in modelling spatialized data in mapping contaminated soil by caesium-137. Other presented case studies are related to a geostatistical-geotechnical study about soil liquefaction, as well as mapping total magnetic field while decreasing artefacts related to the trajectory (go-and-return) during the acquisition (§ ‎2).Three themes are presented as current research subjects which constitute the perspective too: (i) application of local anisotropy as a geostatistical solution, (ii) developing fuzzy pairing in variographical analysis, and (iii) developing deconvolution relations for geophysical measurements for the purpose of sampling design (§ ‎3 and § ‎4).Though chapters § ‎2 and § ‎3 address the experts in the geo-datasciences, chapters § ‎1 and § ‎4 are composed for a larger pubic, interested in the evolution of the earth-sciences, as well as some general views regarding researchers’ typology and research values shared in § ‎4. ; طی قرون متمادی، بر مبنای تفصیل مشاهدات پدیده‌های زمین، ثبت اندازه‌گیری‌ها و ارائه‌ی فرضیه‌های تفسیر کننده، نظریه‌های بنیادین علوم‌زمین، توسعه یافتند. از آغاز قرن بیستم، با گسترش مشاهدات رقومی (داده)، همچنین توسعه‌ی روش‌های تحلیل آماری و افزایش ظرفیت محاسباتی، راه برای «علم داده‌ی مکانی» هموار شد (فصل یکم).رساله‌ی پیش رو که جهت اخذ «مجوز هدایت پژوهشی» یا Habilitation à Diriger des Recherches (HDR) از ...