Statistics for Petroleum Engineers and Geoscientists
- 1. Texas A and M University, Department of Petroleum Engineering, College Station, TX (United States)
- 2. University of Texas at Austin, Department of Petroleum and Geosystems Engineering, Austin, TX (United States)
- 3. Heriot-Watt University, Department of Petroleum Engineering, Edinburgh, Scotland (United Kingdom)
- 4. Chevron Overseas, San Ramon, CA (United States)
Description
Geostatistics is a common tool in reservoir characterisation. Several texts discuss the subject, however this book differs in its approach and audience from currently available material. Written from the basics of statistics it covers only those topics that are needed for the two goals of the text: to exhibit the diagnostic potential of statistics and to introduce the important features of statistical modeling. This revised edition contains expanded discussions of some materials, in particular conditional probabilities, Bayes Theorem, correlation, and Kriging. The coverage of estimation, variability, and modeling applications have been updated. Seventy examples illustrate concepts and show the role of geology for providing important information for data analysis and model building. Four reservoir case studies conclude the presentation, illustrating the application and importance of the earlier material. This book can help petroleum professionals develop more accurate models, leading to lower sampling costs
Availability note (English)
Available from Elsevier Science Publishers, P.O. Box 211, 1000 AE Amsterdam (NL)
Additional details
Identifiers
Publishing Information
- Publisher
- Elsevier Science Publishers
- Imprint Place
- Amsterdam (Netherlands)
- ISBN
- 0-444-50552-0
- Imprint Pagination
- 356 p.
- Series
- Handbook of Petroleum Exploration and Productionv. 2
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- Netherlands
- INIS RN
- 32010296
- Subject category
- S02: PETROLEUM;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- CORRELATIONS; DATA ANALYSIS; KRIGING; PETROLEUM; PETROLEUM GEOLOGY; RESERVOIR ENGINEERING; SITE CHARACTERIZATION; STATISTICAL DATA; STATISTICAL MODELS
- Descriptors DEC
- DATA; ENERGY SOURCES; ENGINEERING; FOSSIL FUELS; FUELS; GEOLOGY; INFORMATION; MATHEMATICAL MODELS; MATHEMATICS; NUMERICAL DATA; STATISTICS