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Titlebook: Geostatistics and Petroleum Geology; Michael Edward Hohn Book 1999Latest edition Kluwer Academic Publishers 1999 Fitting.Fundament.Kriging

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書目名稱Geostatistics and Petroleum Geology
編輯Michael Edward Hohn
視頻videohttp://file.papertrans.cn/385/384106/384106.mp4
叢書名稱Computer Methods in the Geosciences
圖書封面Titlebook: Geostatistics and Petroleum Geology;  Michael Edward Hohn Book 1999Latest edition Kluwer Academic Publishers 1999 Fitting.Fundament.Kriging
描述This is an extensive revision of a book that I wrote over ten years ago. My purpose then has remained unchanged: to introduce the concepts and methods of spatial statistics to geologists and engineers working with oil and gas data. I believe I have accomplished more than that; just as I learned the basics of variography and kriging from books for mining engineers, this book could be used by scientists from many fields to learn the basics of the subject. I have tried to adopt an introductory and practical approach to the subject, knowing that books that detail the theory are available. What I say and write comes from my own experience. As a geologist working in the public sector, I have had the privilege of using geostatistics in funded research, in answering service requests from industry, and in short courses. I have taught geostatistics in the university classroom, and advised graduate students in theses and dissertations. I have attempted to anticipate the needs and questions of theenquiring scientist because I was there myself, and know the kind of questions and concerns I had at the time I was trying to learn the subject.
出版日期Book 1999Latest edition
關鍵詞Fitting; Fundament; Kriging; gas production; petroleum geology; simulation; statistics; economic geology
版次2
doihttps://doi.org/10.1007/978-94-011-4425-4
isbn_softcover978-94-010-5901-5
isbn_ebook978-94-011-4425-4
copyrightKluwer Academic Publishers 1999
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Overview of geostatistics,bsurface, thickness can be estimated from nearby wells. The assumption that a variable such as thickness is correlated with itself in space — i.e. autocorrelated — lies at the heart of contour mapping.
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Indicator kriging,conomical at 1979 prices. A continuous variable can be converted to an indicator variable for a number of thresholds, yielding a new variable for each threshold chosen; this procedure forms the basis for an important estimation method described in the second part of this chapter.
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riable above a cutoff; drawing a map of estimated local medians rather than estimated local averages; and handling extreme values in markedly nonnormal data all require consideration of local distribution.
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