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E-raamat: Geostatistics and Petroleum Geology

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Geostatistics and Petroleum GeologySuurem pilt
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This book introduces the concepts and methods of spatial statistics to geologists and engineers working with oil and gas data, and covers all of the most commonly encountered geostatistical methods for estimation and simulation.
Topics include calculation and modeling of semivariograms, linear methods of kriging, cokriging, nonlinear methods such as indicator kriging and disjunctive kriging, and conditional simulation, including sequential indicator simulation, sequential Gaussian simulation, and simulated annealing. Semivariogram models range from very simple to complex. All of the fundamental semivariogram models are illustrated, along with anisotropic models, hole effects, geometric and zonal models, and the mechanics of fitting models.
For each geostatistical method treated in detail, the author introduces necessary theory and background, describes how the method works, the steps a user must go through, and problems a user might encounter.
The emphasis throughout is on what the practitioner needs to know, and the results that can be expected. The book is replete with examples in two and three dimensions, using real-world data such as porosity and permeability, gas production, structural elevation of a reservoir, and seismic information.
Geostatistics and Petroleum Geology will be an invaluable advanced-level text for students on petroleum engineering and geosciences courses, as well as an important reference for petroleum geologists and petroleum engineers in oil companies worldwide.

Arvustused

`I reviewed that first edition ... with the following conclusion: "This is a highly recommendable book, a starter text for both students and practitioners, and a complementary text to more thoery-oriented publications." I would maintain in all points that recommendation for this long overdue second edition. ... it is easily accessible, it speaks common sense and articulates the theory around examples with real data backed with geological interpretation. I definitely would add Michael Hohn's second edition of Geostatistics and Petroleum Geology to the list of required readings for any introductory class in geostatistics. The book delivers a global picture of the practice of geostatistics in clear, understandable terms. The examples are models of concision, the trademark of a good teacher.' Andre G. Journel in Mathematical Geology, 32:1 (2000)

Muu info

Springer Book Archives
1 Overview of geostatistics.- 1.1 A few definitions.- 1.2 A simple
geostatistical case study.- 1.3 Geostatistics on the computer.- 1.4 Computer
software.- 1.5 Data sources.- Further reading.- References.- 2 The
semivariogram.- 2.1 Basic calculation and principles.- 2.2 Modeling an
observed semivariogram.- 2.3 Hole effects.- 2.4 Anisotropic models.- 2.5
Three-dimensional examples.- 2.6 Outliers, normality, and robustness.- 2.7
Automated fitting of semivariograms.- 2.8 Summary.- References.- 3 Linear
estimation.- 3.1 Kriging equations.- 3.2 Examples.- 3.3 Kriging in three
dimensions.- 3.4 Summary.- References.- 4 Multivariate geostatistics.- 4.1
Coregionalization.- 4.2 Cokriging equations.- 4.3 Modeling a
coregionalization.- 4.4 A simple example.- 4.5 Initial potentials and
cumulative production.- 4.6 A stratigraphic application.- 4.7 Kriging with
external drift.- 4.8 Collocated cokriging.- 4.9 Difficulties and solutions.-
4.10 Summary.- References.- 5 Nonlinear estimation: disjunctive and lognormal
kriging.- 5.1 Disjunctive kriging.- 5.2 Example: initial potential.- 5.3
Lognormal kriging.- 5.4 Summary.- References.- 6 Indicator kriging.- 6.1
Analysis of an indicator variable.- 6.2 Indicator kriging with multiple
cutoffs.- 6.3 Examples.- 6.4 Median kriging.- 6.5 Cumulative distribution
functions.- 6.6 Soft data.- 6.7 Facies modeling.- 6.8 Probability kriging.-
6.9 Summary.- References.- 7 Conditional simulation.- 7.1 Methods of
conditional simulation.- 7.2 Examples.- 7.3 Which method to use?.- 7.4
Summary.- References.- Appendices.
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